From a7c7959b9f17bfe52440fb3cbda4953edfb42bcb Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 13:26:37 +0200 Subject: [PATCH 01/54] implement auto-exp --- scripts/measure/remote_capture.py | 117 ++++++++++++++++++++++-------- 1 file changed, 86 insertions(+), 31 deletions(-) diff --git a/scripts/measure/remote_capture.py b/scripts/measure/remote_capture.py index a38f722a..36a76180 100644 --- a/scripts/measure/remote_capture.py +++ b/scripts/measure/remote_capture.py @@ -30,6 +30,7 @@ import os import subprocess import cv2 +import numpy as np from pprint import pprint import matplotlib.pyplot as plt from lensless.hardware.utils import check_username_hostname @@ -79,11 +80,15 @@ def liveview(config): # take picture remote_fn = "remote_capture" - print("\nTaking picture...") + print("\n Running auto-exposure...") + + # 1. Build base command pic_command = ( - f"{config.rpi.python} {config.capture.script} sensor={sensor} bayer={bayer} fn={remote_fn} exp={config.capture.exp} iso={config.capture.iso} " - f"config_pause={config.capture.config_pause} sensor_mode={config.capture.sensor_mode} nbits_out={config.capture.nbits_out} " - f"legacy={config.capture.legacy} rgb={config.capture.rgb} gray={config.capture.gray} " + f"{config.rpi.python} {config.capture.script} " + f"sensor={sensor} bayer={bayer} fn={remote_fn} exp={config.capture.exp} iso={config.capture.iso} " + f"config_pause={config.capture.config_pause} sensor_mode={config.capture.sensor_mode} " + f"nbits_out={config.capture.nbits_out} legacy={config.capture.legacy} " + f"rgb={config.capture.rgb} gray={config.capture.gray} " ) if config.capture.nbits > 8: pic_command += " sixteen=True" @@ -92,34 +97,22 @@ def liveview(config): if config.capture.awb_gains: pic_command += f" awb_gains=[{config.capture.awb_gains[0]},{config.capture.awb_gains[1]}]" - print(f"COMMAND : {pic_command}") - ssh = subprocess.Popen( - ["ssh", "%s@%s" % (username, hostname), pic_command], - shell=False, - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - ) - result = ssh.stdout.readlines() - error = ssh.stderr.readlines() + # 2. Define expected output path + output_path = os.path.join(config.output or os.getcwd(), f"{config.capture.raw_data_fn}.png") - if error != [] and legacy: # new camera software seems to return error even if it works - print("ERROR: %s" % error) - return - if result == []: - error = ssh.stderr.readlines() - print("ERROR: %s" % error) - return - else: - result = [res.decode("UTF-8") for res in result] - result = [res for res in result if len(res) > 3] - result_dict = dict() - for res in result: - _key = res.split(":")[0].strip() - _val = "".join(res.split(":")[1:]).strip() - result_dict[_key] = _val - # result_dict = dict(map(lambda s: map(str.strip, s.split(":")), result)) - print("COMMAND OUTPUT : ") - pprint(result_dict) + # 3. Run auto-exposure loop + result = auto_expose_via_remote(config, pic_command, output_path) + + result = [res.decode("UTF-8") for res in result] + result = [res for res in result if len(res) > 3] + result_dict = dict() + for res in result: + _key = res.split(":")[0].strip() + _val = "".join(res.split(":")[1:]).strip() + result_dict[_key] = _val + # result_dict = dict(map(lambda s: map(str.strip, s.split(":")), result)) + print("COMMAND OUTPUT : ") + pprint(result_dict) if ( "RPi distribution" in result_dict.keys() @@ -262,5 +255,67 @@ def liveview(config): print(f"\nSaved plots to: {save}") +# Auto-exposure logic injected before running SSH command + +def auto_expose_via_remote(config, base_command, output_path): + final_result = [] + exp = config.capture.exp + max_iter = 10 + target_max = 4095 + max_saturation_ratio = 0.001 + + for i in range(max_iter): + print(f"\n Attempt {i+1} | exp={exp:.6f}s") + + # Inject new exposure into command + pic_command = base_command.replace(f"exp={config.capture.exp}", f"exp={exp}") + + ssh = subprocess.Popen( + ["ssh", f"{config.rpi.username}@{config.rpi.hostname}", pic_command], + shell=False, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ) + result = ssh.stdout.readlines() + error = ssh.stderr.readlines() + + if error and config.capture.legacy: + print("ERROR:", error) + break + if not result: + print("ERROR:", error) + break + + # Check image exists + if not os.path.exists(output_path): + print("Output image not found") + break + + img = cv2.imread(output_path, cv2.IMREAD_UNCHANGED) + if img is None: + print("Failed to load captured image") + break + + max_val = int(np.max(img)) + sat_ratio = np.sum(img == 4095) / img.size + print(f"Max: {max_val} | Saturated: {sat_ratio*100:.4f}%") + + if max_val >= target_max and sat_ratio <= max_saturation_ratio: + print(f"Ideal exposure found: {exp:.6f}s") + final_result = result + break + + # Adjust exposure + if max_val >= 4095: + exp *= 0.7 if sat_ratio > max_saturation_ratio else 0.95 + elif max_val >= 3800: + exp *= 1.05 + else: + exp *= 1.4 + + return final_result + + + if __name__ == "__main__": liveview() From e3380463f7eba953af0b74498789a4a783b4e89c Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 15:20:59 +0200 Subject: [PATCH 02/54] auto RB Gains --- scripts/measure/analyze_image.py | 93 ++++++++++++++++++++++++-------- 1 file changed, 71 insertions(+), 22 deletions(-) diff --git a/scripts/measure/analyze_image.py b/scripts/measure/analyze_image.py index 7496c4ab..c6bf21ff 100644 --- a/scripts/measure/analyze_image.py +++ b/scripts/measure/analyze_image.py @@ -120,30 +120,69 @@ def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, s fig_gray, ax_gray = plt.subplots(ncols=3, nrows=1, num="Grayscale", figsize=(15, 5)) else: fig_gray, ax_gray = plt.subplots(ncols=2, nrows=1, num="Grayscale", figsize=(15, 5)) + # Auto white balance loop (always on for Bayer + save) + if bayer and save is not None: + print("🔁 Starting automatic red/blue gain tuning...") + rg = rg or 1.0 + bg = bg or 1.0 + max_iter = 10 + + for i in range(max_iter): + print(f"\n▶️ Iteration {i+1}: rg={rg:.3f}, bg={bg:.3f}") + + img = load_image( + fp, + verbose=True, + bayer=bayer, + blue_gain=bg, + red_gain=rg, + nbits_out=nbits, + back=back, + ) + + if nbits is None: + nbits = int(np.ceil(np.log2(img.max()))) + + done, (r, g, b), (err_r, err_b) = check_balance(img) + print(f"📊 Channel means — R: {r:.1f}, G: {g:.1f}, B: {b:.1f}") + print(f"📉 Errors — R: {err_r:.3f}, B: {err_b:.3f}") + + if done: + print("✅ White balance converged.") + break + + if r > 0: + rg *= g / r + if b > 0: + bg *= g / b + + print(f"🎯 Final gains: rg={rg:.3f}, bg={bg:.3f}") - # load PSF/image - if lensless: - img = load_psf( - fp, - verbose=True, - bayer=bayer, - blue_gain=bg, - red_gain=rg, - nbits_out=nbits, - return_float=False, - )[0] else: - img = load_image( - fp, - verbose=True, - bayer=bayer, - blue_gain=bg, - red_gain=rg, - nbits_out=nbits, - back=back, - ) - if nbits is None: - nbits = int(np.ceil(np.log2(img.max()))) + # load PSF/image + if lensless: + img = load_psf( + fp, + verbose=True, + bayer=bayer, + blue_gain=bg, + red_gain=rg, + nbits_out=nbits, + return_float=False, + )[0] + else: + img = load_image( + fp, + verbose=True, + bayer=bayer, + blue_gain=bg, + red_gain=rg, + nbits_out=nbits, + back=back, + ) + + if nbits is None: + nbits = int(np.ceil(np.log2(img.max()))) # plot RGB and grayscale ax = plot_image(img, gamma=gamma, normalize=True, ax=ax_rgb[0]) @@ -216,6 +255,16 @@ def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, s plt.show() +def check_balance(img, threshold=0.05): + """Returns True if R/B are within threshold of G.""" + mean_r = np.mean(img[:, :, 0]) + mean_g = np.mean(img[:, :, 1]) + mean_b = np.mean(img[:, :, 2]) + + err_r = abs(mean_r - mean_g) / mean_g + err_b = abs(mean_b - mean_g) / mean_g + + return err_r < threshold and err_b < threshold, (mean_r, mean_g, mean_b), (err_r, err_b) if __name__ == "__main__": analyze_image() From bd14d48095314a7539acebd048ffa7ef3a28b079 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 16:08:40 +0200 Subject: [PATCH 03/54] webapp --- lenslesswebapp/.gitignore | 24 + lenslesswebapp/README.md | 54 + lenslesswebapp/eslint.config.js | 28 + lenslesswebapp/index.html | 13 + lenslesswebapp/package-lock.json | 5132 ++++++++++++++++++++++++ lenslesswebapp/package.json | 35 + lenslesswebapp/postcss.config.js | 6 + lenslesswebapp/public/signal-lines.svg | 11 + lenslesswebapp/public/vite.svg | 1 + lenslesswebapp/src/App.css | 0 lenslesswebapp/src/App.tsx | 231 ++ lenslesswebapp/src/DemoPage.tsx | 177 + lenslesswebapp/src/ProductPage.tsx | 94 + lenslesswebapp/src/assets/react.svg | 1 + lenslesswebapp/src/index.css | 3 + lenslesswebapp/src/main.tsx | 20 + lenslesswebapp/src/vite-env.d.ts | 1 + lenslesswebapp/tailwind.config.js | 7 + lenslesswebapp/tsconfig.app.json | 27 + lenslesswebapp/tsconfig.json | 7 + lenslesswebapp/tsconfig.node.json | 25 + lenslesswebapp/vite.config.ts | 7 + 22 files changed, 5904 insertions(+) create mode 100644 lenslesswebapp/.gitignore create mode 100644 lenslesswebapp/README.md create mode 100644 lenslesswebapp/eslint.config.js create mode 100644 lenslesswebapp/index.html create mode 100644 lenslesswebapp/package-lock.json create mode 100644 lenslesswebapp/package.json create mode 100644 lenslesswebapp/postcss.config.js create mode 100644 lenslesswebapp/public/signal-lines.svg create mode 100644 lenslesswebapp/public/vite.svg create mode 100644 lenslesswebapp/src/App.css create mode 100644 lenslesswebapp/src/App.tsx create mode 100644 lenslesswebapp/src/DemoPage.tsx create mode 100644 lenslesswebapp/src/ProductPage.tsx create mode 100644 lenslesswebapp/src/assets/react.svg create mode 100644 lenslesswebapp/src/index.css create mode 100644 lenslesswebapp/src/main.tsx create mode 100644 lenslesswebapp/src/vite-env.d.ts create mode 100644 lenslesswebapp/tailwind.config.js create mode 100644 lenslesswebapp/tsconfig.app.json create mode 100644 lenslesswebapp/tsconfig.json create mode 100644 lenslesswebapp/tsconfig.node.json create mode 100644 lenslesswebapp/vite.config.ts diff --git a/lenslesswebapp/.gitignore b/lenslesswebapp/.gitignore new file mode 100644 index 00000000..a547bf36 --- /dev/null +++ b/lenslesswebapp/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/lenslesswebapp/README.md b/lenslesswebapp/README.md new file mode 100644 index 00000000..da984443 --- /dev/null +++ b/lenslesswebapp/README.md @@ -0,0 +1,54 @@ +# React + TypeScript + Vite + +This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules. + +Currently, two official plugins are available: + +- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) for Fast Refresh +- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh + +## Expanding the ESLint configuration + +If you are developing a production application, we recommend updating the configuration to enable type-aware lint rules: + +```js +export default tseslint.config({ + extends: [ + // Remove ...tseslint.configs.recommended and replace with this + ...tseslint.configs.recommendedTypeChecked, + // Alternatively, use this for stricter rules + ...tseslint.configs.strictTypeChecked, + // Optionally, add this for stylistic rules + ...tseslint.configs.stylisticTypeChecked, + ], + languageOptions: { + // other options... + parserOptions: { + project: ['./tsconfig.node.json', './tsconfig.app.json'], + tsconfigRootDir: import.meta.dirname, + }, + }, +}) +``` + +You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-dom) for React-specific lint rules: + +```js +// eslint.config.js +import reactX from 'eslint-plugin-react-x' +import reactDom from 'eslint-plugin-react-dom' + +export default tseslint.config({ + plugins: { + // Add the react-x and react-dom plugins + 'react-x': reactX, + 'react-dom': reactDom, + }, + rules: { + // other rules... + // Enable its recommended typescript rules + ...reactX.configs['recommended-typescript'].rules, + ...reactDom.configs.recommended.rules, + }, +}) +``` diff --git a/lenslesswebapp/eslint.config.js b/lenslesswebapp/eslint.config.js new file mode 100644 index 00000000..092408a9 --- /dev/null +++ b/lenslesswebapp/eslint.config.js @@ -0,0 +1,28 @@ +import js from '@eslint/js' +import globals from 'globals' +import reactHooks from 'eslint-plugin-react-hooks' +import reactRefresh from 'eslint-plugin-react-refresh' +import tseslint from 'typescript-eslint' + +export default tseslint.config( + { ignores: ['dist'] }, + { + extends: [js.configs.recommended, ...tseslint.configs.recommended], + files: ['**/*.{ts,tsx}'], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + }, + plugins: { + 'react-hooks': reactHooks, + 'react-refresh': reactRefresh, + }, + rules: { + ...reactHooks.configs.recommended.rules, + 'react-refresh/only-export-components': [ + 'warn', + { allowConstantExport: true }, + ], + }, + }, +) diff --git a/lenslesswebapp/index.html b/lenslesswebapp/index.html new file mode 100644 index 00000000..08a57f11 --- /dev/null +++ b/lenslesswebapp/index.html @@ -0,0 +1,13 @@ + + + + + + + Lensless PiCam Kit + + +
+ + + diff --git a/lenslesswebapp/package-lock.json b/lenslesswebapp/package-lock.json new file mode 100644 index 00000000..9981b664 --- /dev/null +++ b/lenslesswebapp/package-lock.json @@ -0,0 +1,5132 @@ +{ + "name": "lenslesswebapp", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "lenslesswebapp", + "version": "0.0.0", + "dependencies": { + "react": "^19.1.0", + "react-dom": "^19.1.0", + "react-router-dom": "^7.6.0" + }, + "devDependencies": { + "@eslint/js": "^9.25.0", + "@tailwindcss/postcss": "^4.1.7", + "@types/react": "^19.1.2", + "@types/react-dom": "^19.1.2", + "@vitejs/plugin-react": "^4.4.1", + "autoprefixer": "^10.4.21", + "eslint": "^9.25.0", + "eslint-plugin-react-hooks": "^5.2.0", + "eslint-plugin-react-refresh": "^0.4.19", + "globals": "^16.0.0", + "postcss": "^8.5.3", + "tailwindcss": "^3.4.17", + "tsx": "^4.19.4", + "typescript": "~5.8.3", + "typescript-eslint": "^8.30.1", + "vite": "^6.3.5" + } + }, + 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"@eslint/js": "^9.25.0", + "@tailwindcss/postcss": "^4.1.7", + "@types/react": "^19.1.2", + "@types/react-dom": "^19.1.2", + "@vitejs/plugin-react": "^4.4.1", + "autoprefixer": "^10.4.21", + "eslint": "^9.25.0", + "eslint-plugin-react-hooks": "^5.2.0", + "eslint-plugin-react-refresh": "^0.4.19", + "globals": "^16.0.0", + "postcss": "^8.5.3", + "tailwindcss": "^3.4.17", + "tsx": "^4.19.4", + "typescript": "~5.8.3", + "typescript-eslint": "^8.30.1", + "vite": "^6.3.5" + } +} diff --git a/lenslesswebapp/postcss.config.js b/lenslesswebapp/postcss.config.js new file mode 100644 index 00000000..2e7af2b7 --- /dev/null +++ b/lenslesswebapp/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/lenslesswebapp/public/signal-lines.svg b/lenslesswebapp/public/signal-lines.svg new file mode 100644 index 00000000..5d16c226 --- /dev/null +++ b/lenslesswebapp/public/signal-lines.svg @@ -0,0 +1,11 @@ + + + + + + + + + + + \ No newline at end of file diff --git a/lenslesswebapp/public/vite.svg b/lenslesswebapp/public/vite.svg new file mode 100644 index 00000000..e7b8dfb1 --- /dev/null +++ b/lenslesswebapp/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/lenslesswebapp/src/App.css b/lenslesswebapp/src/App.css new file mode 100644 index 00000000..e69de29b diff --git a/lenslesswebapp/src/App.tsx b/lenslesswebapp/src/App.tsx new file mode 100644 index 00000000..fcab17b0 --- /dev/null +++ b/lenslesswebapp/src/App.tsx @@ -0,0 +1,231 @@ +import { Link } from "react-router-dom"; +import { useEffect, useState } from "react"; + +export default function App() { + const [loaded, setLoaded] = useState(false); + const [showArticles, setShowArticles] = useState(false); + + useEffect(() => { + setTimeout(() => setLoaded(true), 100); + }, []); + + return ( +
+ {/* Navbar */} + + + {/* Hero Section */} +
+
+ Lensless PiCam Logo +
+
+

+ Lensless PiCam Kit +

+

+ All-in-One Starter Kit for Computational Imaging +

+ + Try our Online Demo + +
+
+ + {/* Why Lensless Section */} +
+

+ Why Lensless? +

+
+
+

+ Reduced size, weight & cost +

+

+ Lensless designs eliminate bulky optical components, making systems lighter, smaller and cheaper. +

+
+
+

+ Visual privacy +

+

+ Raw images captured are unintelligible to humans, offering native privacy by design. +

+
+
+

+ Compressive imaging +

+

+ Captures and reconstructs only what’s necessary, reducing data and enabling smarter sensing. +

+
+
+
+ + {/* About Section */} +
+

About the Project

+

+ The Lensless PiCam Kit is an affordable, modular development platform for lensless imaging. + It includes 3D-printable hardware, open-source software, and tools for integrating machine learning into the imaging pipeline. +

+
+ + {/* Documentation Section */} +
+

Documentation

+
+ {/* Medium Articles Section */} +
+

Medium Articles

+

+ Explore our insights and development stories on Medium. +

+ + {showArticles && ( + + )} +
+ + {/* Other Documentation Cards */} +
+

Software & Firmware

+

Arduino and Python code examples hosted on GitHub.

+ Browse GitHub +
+
+

Full Online Documentation

+

Setup, imaging, firmware flashing, ML integration, and deployment.

+ View Full Docs +
+
+
+ + {/* Product Section */} +
+

Our Product

+

+ Prototype kit for lensless imaging. Fixed price:{" "} + $100 +

+ + Discover Our Product + +
+ + {/* Footer */} + + + {/* Floating Animation */} + +
+ ); +} diff --git a/lenslesswebapp/src/DemoPage.tsx b/lenslesswebapp/src/DemoPage.tsx new file mode 100644 index 00000000..485d88d0 --- /dev/null +++ b/lenslesswebapp/src/DemoPage.tsx @@ -0,0 +1,177 @@ +import { useState, useRef, useEffect } from "react"; +import { Link } from "react-router-dom"; + +export default function Demo() { + const [selectedFile, setSelectedFile] = useState(null); + const [imagePreview, setImagePreview] = useState(null); + const [showPSFModal, setShowPSFModal] = useState(false); + const [showImagingModal, setShowImagingModal] = useState(false); + const [showCamera, setShowCamera] = useState(false); + const [psfName, setPsfName] = useState(""); + const [algorithm, setAlgorithm] = useState("ADMM"); + const [iterations, setIterations] = useState(10); + + const fileInputRef = useRef(null); + const videoRef = useRef(null); + const canvasRef = useRef(null); + + const handleFileChange = (e) => { + const file = e.target.files[0]; + setSelectedFile(file); + if (file) { + const reader = new FileReader(); + reader.onloadend = () => { + setImagePreview(reader.result); + }; + reader.readAsDataURL(file); + } + }; + + const handleCapture = () => { + setShowPSFModal(true); + }; + + const handleTakePicture = () => { + setShowImagingModal(true); + }; + + const handleRunCapture = () => { + alert(`Capturing PSF with name: ${psfName}`); + setShowPSFModal(false); + }; + + const handleRunImaging = () => { + alert(`Running ${algorithm} for ${iterations} iterations`); + setShowImagingModal(false); + }; + + const triggerUpload = () => { + fileInputRef.current.click(); + }; + + const triggerCamera = async () => { + setShowCamera(true); + try { + const stream = await navigator.mediaDevices.getUserMedia({ video: true }); + if (videoRef.current) { + videoRef.current.srcObject = stream; + videoRef.current.play(); + } + } catch (err) { + console.error("Error accessing webcam: ", err); + } + }; + + const takeSnapshot = () => { + const video = videoRef.current; + const canvas = canvasRef.current; + const context = canvas.getContext("2d"); + canvas.width = video.videoWidth; + canvas.height = video.videoHeight; + context.drawImage(video, 0, 0, canvas.width, canvas.height); + const dataURL = canvas.toDataURL("image/png"); + setImagePreview(dataURL); + setShowCamera(false); + video.srcObject.getTracks().forEach((track) => track.stop()); + }; + + return ( +
+ + +
+

Lensless Imaging Demo

+ +
+

PSF Calibration

+

+ Link to tutorial for setting / placing PSF box +

+
+ + +
+
+
PSF
+
Autocorrelations
+
+
+ +
+

Imaging

+

+ Dropdown menu of different PSFs available on the Raspberry Pi (first time use → no PSF available) +

+ +
+ + +
+ +
+
Raw Lensless
+
Reconstruction
+
+ + {imagePreview && ( +
+

Image Preview:

+ Preview +
+ )} +
+
+ + {showPSFModal && ( +
+
+

Name your PSF

+ setPsfName(e.target.value)} placeholder="Enter PSF name" className="w-full px-4 py-2 rounded text-black mb-4" /> + +
+
+ )} + + {showImagingModal && ( +
+
+

Taking a Picture

+
+ + or + + +
+

Algorithm parameters

+
+ + +
+ + setIterations(e.target.value)} className="w-full" /> + +
+
+ )} + + {showCamera && ( +
+
+
+
+ )} +
+ ); +} diff --git a/lenslesswebapp/src/ProductPage.tsx b/lenslesswebapp/src/ProductPage.tsx new file mode 100644 index 00000000..f2f4d965 --- /dev/null +++ b/lenslesswebapp/src/ProductPage.tsx @@ -0,0 +1,94 @@ +import { Link } from "react-router-dom"; + +export default function ProductPage() { + return ( +
+ + {/* Navbar */} + + + {/* Header */} +
+

+ Lensless PiCam Kit +

+

Modular, Affordable, and Open-Source

+
+ + {/* Content */} +
+ {/* Images */} +
+
Main Image
+
Thumb 1
+
Thumb 2
+
Thumb 3
+
+ + {/* Product Info */} +
+

$100.00

+

Available Now

+ +

+ The Lensless PiCam Kit includes all the hardware you need to begin experimenting with computational imaging: + a custom PCB, image sensor, microcontroller connectors, and full documentation. Compatible with Raspberry Pi and Arduino, + and designed to support real-time capture and machine learning processing. +

+ +
    +
  • Open-source and educational
    • +
  • Modular and extensible
    • +
  • Includes pre-trained models and firmware
    • +
  • Designed by LCAV – EPFL
    • +
+
+
+ + {/* Footer */} + +
+ ); +} diff --git a/lenslesswebapp/src/assets/react.svg b/lenslesswebapp/src/assets/react.svg new file mode 100644 index 00000000..6c87de9b --- /dev/null +++ b/lenslesswebapp/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/lenslesswebapp/src/index.css b/lenslesswebapp/src/index.css new file mode 100644 index 00000000..b5c61c95 --- /dev/null +++ b/lenslesswebapp/src/index.css @@ -0,0 +1,3 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; diff --git a/lenslesswebapp/src/main.tsx b/lenslesswebapp/src/main.tsx new file mode 100644 index 00000000..05bb2a0a --- /dev/null +++ b/lenslesswebapp/src/main.tsx @@ -0,0 +1,20 @@ +import React from 'react' +import ReactDOM from 'react-dom/client' +import { BrowserRouter, Routes, Route } from 'react-router-dom' +import App from './App.tsx' +import ProductPage from './ProductPage.tsx' +import DemoPage from './DemoPage.tsx' + +import './index.css' + +ReactDOM.createRoot(document.getElementById('root')!).render( + + + + } /> + } /> + } /> + + + +) \ No newline at end of file diff --git a/lenslesswebapp/src/vite-env.d.ts b/lenslesswebapp/src/vite-env.d.ts new file mode 100644 index 00000000..11f02fe2 --- /dev/null +++ b/lenslesswebapp/src/vite-env.d.ts @@ -0,0 +1 @@ +/// diff --git a/lenslesswebapp/tailwind.config.js b/lenslesswebapp/tailwind.config.js new file mode 100644 index 00000000..d8f08734 --- /dev/null +++ b/lenslesswebapp/tailwind.config.js @@ -0,0 +1,7 @@ +export default { + content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"], + theme: { + extend: {}, + }, + plugins: [], +} diff --git a/lenslesswebapp/tsconfig.app.json b/lenslesswebapp/tsconfig.app.json new file mode 100644 index 00000000..c9ccbd4c --- /dev/null +++ b/lenslesswebapp/tsconfig.app.json @@ -0,0 +1,27 @@ +{ + "compilerOptions": { + "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo", + "target": "ES2020", + "useDefineForClassFields": true, + "lib": ["ES2020", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "verbatimModuleSyntax": true, + "moduleDetection": "force", + "noEmit": true, + "jsx": "react-jsx", + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "erasableSyntaxOnly": true, + "noFallthroughCasesInSwitch": true, + "noUncheckedSideEffectImports": true + }, + "include": ["src"] +} diff --git a/lenslesswebapp/tsconfig.json b/lenslesswebapp/tsconfig.json new file mode 100644 index 00000000..1ffef600 --- /dev/null +++ b/lenslesswebapp/tsconfig.json @@ -0,0 +1,7 @@ +{ + "files": [], + "references": [ + { "path": "./tsconfig.app.json" }, + { "path": "./tsconfig.node.json" } + ] +} diff --git a/lenslesswebapp/tsconfig.node.json b/lenslesswebapp/tsconfig.node.json new file mode 100644 index 00000000..9728af2d --- /dev/null +++ b/lenslesswebapp/tsconfig.node.json @@ -0,0 +1,25 @@ +{ + "compilerOptions": { + "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo", + "target": "ES2022", + "lib": ["ES2023"], + "module": "ESNext", + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "verbatimModuleSyntax": true, + "moduleDetection": "force", + "noEmit": true, + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "erasableSyntaxOnly": true, + "noFallthroughCasesInSwitch": true, + "noUncheckedSideEffectImports": true + }, + "include": ["vite.config.ts"] +} diff --git a/lenslesswebapp/vite.config.ts b/lenslesswebapp/vite.config.ts new file mode 100644 index 00000000..8b0f57b9 --- /dev/null +++ b/lenslesswebapp/vite.config.ts @@ -0,0 +1,7 @@ +import { defineConfig } from 'vite' +import react from '@vitejs/plugin-react' + +// https://vite.dev/config/ +export default defineConfig({ + plugins: [react()], +}) From 3eb4710040cc09ee51fb8c5d00bfeeb7ff4ad5f5 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 17:20:24 +0200 Subject: [PATCH 04/54] Auto-exp --- scripts/measure/remote_capture.py | 36 +++++-------------------------- 1 file changed, 5 insertions(+), 31 deletions(-) diff --git a/scripts/measure/remote_capture.py b/scripts/measure/remote_capture.py index 36a76180..9dbe1d1d 100644 --- a/scripts/measure/remote_capture.py +++ b/scripts/measure/remote_capture.py @@ -1,31 +1,3 @@ -""" - -For Bayer data with RPI HQ sensor: -``` -python scripts/measure/remote_capture.py \ -rpi.username=USERNAME rpi.hostname=IP_ADDRESS -``` - -For Bayer data with RPI Global shutter sensor: -``` -python scripts/measure/remote_capture.py -cn remote_capture_rpi_gs \ -rpi.username=USERNAME rpi.hostname=IP_ADDRESS -``` - -For RGB data with RPI HQ RPI Global shutter sensor: -``` -python scripts/measure/remote_capture.py -cn remote_capture_rpi_gs \ -rpi.username=USERNAME rpi.hostname=IP_ADDRESS \ -capture.bayer=False capture.down=2 -``` - -Check out the `configs/demo.yaml` file for parameters, specifically: - -- `rpi`: RPi parameters -- `capture`: parameters for taking pictures - -""" - import hydra import os import subprocess @@ -101,6 +73,8 @@ def liveview(config): output_path = os.path.join(config.output or os.getcwd(), f"{config.capture.raw_data_fn}.png") # 3. Run auto-exposure loop + auto_expose_via_remote(config, pic_command, output_path) + result = auto_expose_via_remote(config, pic_command, output_path) result = [res.decode("UTF-8") for res in result] @@ -258,11 +232,11 @@ def liveview(config): # Auto-exposure logic injected before running SSH command def auto_expose_via_remote(config, base_command, output_path): - final_result = [] exp = config.capture.exp max_iter = 10 target_max = 4095 max_saturation_ratio = 0.001 + final_img = None for i in range(max_iter): print(f"\n Attempt {i+1} | exp={exp:.6f}s") @@ -301,7 +275,7 @@ def auto_expose_via_remote(config, base_command, output_path): print(f"Max: {max_val} | Saturated: {sat_ratio*100:.4f}%") if max_val >= target_max and sat_ratio <= max_saturation_ratio: - print(f"Ideal exposure found: {exp:.6f}s") + print(f"✅Ideal exposure found: {exp:.6f}s") final_result = result break @@ -318,4 +292,4 @@ def auto_expose_via_remote(config, base_command, output_path): if __name__ == "__main__": - liveview() + liveview() \ No newline at end of file From 440dbb30bc2b3d31c5b67537da158c0d57cc7675 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 18:05:42 +0200 Subject: [PATCH 05/54] Minor Change --- lenslesswebapp/index.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/index.html b/lenslesswebapp/index.html index 08a57f11..636950c9 100644 --- a/lenslesswebapp/index.html +++ b/lenslesswebapp/index.html @@ -2,7 +2,7 @@ - + Lensless PiCam Kit From 16d0f14591d20b04dd8d680073ad05f6f412c8a7 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 18:15:03 +0200 Subject: [PATCH 06/54] Debug Logo --- lenslesswebapp/.gitignore | 1 + lenslesswebapp/public/logo.png | Bin 0 -> 1500718 bytes 2 files changed, 1 insertion(+) create mode 100644 lenslesswebapp/public/logo.png diff --git a/lenslesswebapp/.gitignore b/lenslesswebapp/.gitignore index 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zI?vcp;N76Xb?bM{xz^V^o2;{k`et3{qsu=7f)jM$wJh+4>@)p&YjCddc~jPU^UHUB zp2KJM%fIvb)w=yXZTsCddAt0-r~QB9^}XKt?RNj4yIxn3Z!;c0c!n;}*aZh3+-jpTFac@BQ2LjKTk`+}5E# z-2Nko_|Tm)E-UuaL3=FQ#}c8#-~M_d6y$)W1AMRcjdOOvlfUwyWK37zTldyS@Jl2iT9h!(Jxsqv|S6n%cy%2?hfP z7`XsA>JmCAg`FNgR1IWv9i$e4m!Y+_qgn%ss9Eo1UKmjj0B{K?TZ$4kDstb8WE8xe z^UaFaG(19ZY5?h^1kJM+c3U!~G9Fn}|n7Ex2B+)?iKdf?WGKr8pz=usuSLzCuOYX_w&8qusP z@c3kmhG5`&iu$CpomvCQl!#K=g>3*E(u{<1y*~1B@_r8n|-6dJngaE)T{+!oea&9d-QJkW)M8`qYh`!5mpc0TV zPT!l1Qs)qW zEiFlW;^*C4Axg(sfsodjK{q Date: Mon, 26 May 2025 18:50:54 +0200 Subject: [PATCH 07/54] Capture PSF backend --- lenslesswebapp/server/index.js | 62 +++++++++++++++++++++++++++++++++ lenslesswebapp/src/DemoPage.tsx | 31 +++++++++++++++-- 2 files changed, 90 insertions(+), 3 deletions(-) create mode 100644 lenslesswebapp/server/index.js diff --git a/lenslesswebapp/server/index.js b/lenslesswebapp/server/index.js new file mode 100644 index 00000000..8f6bc433 --- /dev/null +++ b/lenslesswebapp/server/index.js @@ -0,0 +1,62 @@ +const express = require('express'); +const cors = require('cors'); +const { exec } = require('child_process'); +const path = require('path'); +const fs = require('fs'); + +const app = express(); +const PORT = 5000; + +app.use(cors()); +app.use(express.json()); + +// Helper function to execute a command and return a Promise +function runCommand(command) { + return new Promise((resolve, reject) => { + exec(command, (error, stdout, stderr) => { + if (error) { + console.error(`Error running command: ${command}`); + console.error(stderr); + reject(stderr); + } else { + resolve(stdout); + } + }); + }); +} + +app.post('/run-demo', async (req, res) => { + try { + // 1. Capture + await runCommand(`python3 scripts/measure/on_device_capture.py \ + capture.legacy=True capture.bayer=True capture.rgb=False \ + capture.down=null capture.nbits_out=12 capture.awb_gains=null \ + output=test_psf plot=True capture.exp=1`); + + // 2. Color correction + await runCommand(`python3 scripts/measure/analyze_image.py \ + --fp test_psf/raw_data.png \ + --bayer --gamma 2.2 --rg 2.0 --bg 1.1 --save test_psf/psf_rgb.png`); + + // 3. Autocorrelation (assumes psf_1mm/raw_data.png already exists) + await runCommand(`python3 scripts/measure/analyze_image.py \ + --fp psf_1mm/raw_data.png \ + --bayer --gamma 2.2 --rg 2.0 --bg 1.1 --lensless`); + + // Read both images as base64 + const psfBuffer = fs.readFileSync(path.join(__dirname, '../test_psf/psf_rgb.png')); + const autocorrBuffer = fs.readFileSync(path.join(__dirname, '../psf_1mm/autocorr.png')); + + res.json({ + psf: psfBuffer.toString('base64'), + autocorr: autocorrBuffer.toString('base64') + }); + + } catch (err) { + res.status(500).send({ error: 'Demo failed to run', details: err }); + } +}); + +app.listen(PORT, () => { + console.log(`Demo backend running on http://localhost:${PORT}`); +}); diff --git a/lenslesswebapp/src/DemoPage.tsx b/lenslesswebapp/src/DemoPage.tsx index 485d88d0..b35b0fde 100644 --- a/lenslesswebapp/src/DemoPage.tsx +++ b/lenslesswebapp/src/DemoPage.tsx @@ -15,6 +15,9 @@ export default function Demo() { const videoRef = useRef(null); const canvasRef = useRef(null); + const [psfImage, setPsfImage] = useState(null); + const [autocorrImage, setAutocorrImage] = useState(null); + const handleFileChange = (e) => { const file = e.target.files[0]; setSelectedFile(file); @@ -36,8 +39,18 @@ export default function Demo() { }; const handleRunCapture = () => { - alert(`Capturing PSF with name: ${psfName}`); setShowPSFModal(false); + fetch('http://localhost:5000/run-demo', { + method: 'POST', + }) + .then((res) => res.json()) + .then((data) => { + setPsfImage(`data:image/png;base64,${data.psf}`); + setAutocorrImage(`data:image/png;base64,${data.autocorr}`); + }) + .catch((err) => { + console.error('Demo run failed:', err); + }); }; const handleRunImaging = () => { @@ -101,8 +114,20 @@ export default function Demo() {

From 3916860c0e662fdb6ffd0143def59fbdb73145fd Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 18:56:10 +0200 Subject: [PATCH 08/54] mini change --- lenslesswebapp/server/{index.js => index.cjs} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename lenslesswebapp/server/{index.js => index.cjs} (100%) diff --git a/lenslesswebapp/server/index.js b/lenslesswebapp/server/index.cjs similarity index 100% rename from lenslesswebapp/server/index.js rename to lenslesswebapp/server/index.cjs From f37c27739887fca40af8098ce71ca4fbf5b96e20 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 19:06:28 +0200 Subject: [PATCH 09/54] debug messages --- lenslesswebapp/server/index.cjs | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 8f6bc433..6a421cb4 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -12,6 +12,7 @@ app.use(express.json()); // Helper function to execute a command and return a Promise function runCommand(command) { + console.log(`Running command: ${command}`); return new Promise((resolve, reject) => { exec(command, (error, stdout, stderr) => { if (error) { @@ -19,6 +20,7 @@ function runCommand(command) { console.error(stderr); reject(stderr); } else { + console.log(`Command output: ${stdout}`); resolve(stdout); } }); @@ -27,23 +29,29 @@ function runCommand(command) { app.post('/run-demo', async (req, res) => { try { + console.log("[SERVER] /run-demo endpoint hit"); + // 1. Capture + console.log("[SERVER] Starting on-device capture"); await runCommand(`python3 scripts/measure/on_device_capture.py \ capture.legacy=True capture.bayer=True capture.rgb=False \ capture.down=null capture.nbits_out=12 capture.awb_gains=null \ output=test_psf plot=True capture.exp=1`); // 2. Color correction + console.log("[SERVER] Running color correction"); await runCommand(`python3 scripts/measure/analyze_image.py \ --fp test_psf/raw_data.png \ --bayer --gamma 2.2 --rg 2.0 --bg 1.1 --save test_psf/psf_rgb.png`); // 3. Autocorrelation (assumes psf_1mm/raw_data.png already exists) + console.log("[SERVER] Running autocorrelation analysis"); await runCommand(`python3 scripts/measure/analyze_image.py \ --fp psf_1mm/raw_data.png \ --bayer --gamma 2.2 --rg 2.0 --bg 1.1 --lensless`); // Read both images as base64 + console.log("[SERVER] Reading images and sending response"); const psfBuffer = fs.readFileSync(path.join(__dirname, '../test_psf/psf_rgb.png')); const autocorrBuffer = fs.readFileSync(path.join(__dirname, '../psf_1mm/autocorr.png')); @@ -53,6 +61,7 @@ app.post('/run-demo', async (req, res) => { }); } catch (err) { + console.error("[SERVER] Error in /run-demo", err); res.status(500).send({ error: 'Demo failed to run', details: err }); } }); From 06fbacaaf2b50fbd6f18a6ef7c523c4389cfadaa Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 19:13:09 +0200 Subject: [PATCH 10/54] fix --- lenslesswebapp/src/DemoPage.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/src/DemoPage.tsx b/lenslesswebapp/src/DemoPage.tsx index b35b0fde..55f398a2 100644 --- a/lenslesswebapp/src/DemoPage.tsx +++ b/lenslesswebapp/src/DemoPage.tsx @@ -40,7 +40,7 @@ export default function Demo() { const handleRunCapture = () => { setShowPSFModal(false); - fetch('http://localhost:5000/run-demo', { + fetch('http://128.179.187.191:5000/run-demo', { method: 'POST', }) .then((res) => res.json()) From c4ddb7f41268b402d3c11103c3b062f48181df5e Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 19:20:54 +0200 Subject: [PATCH 11/54] fix path --- lenslesswebapp/server/index.cjs | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 6a421cb4..57bde645 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -33,20 +33,20 @@ app.post('/run-demo', async (req, res) => { // 1. Capture console.log("[SERVER] Starting on-device capture"); - await runCommand(`python3 scripts/measure/on_device_capture.py \ + await runCommand(`python3 ../scripts/measure/on_device_capture.py \ capture.legacy=True capture.bayer=True capture.rgb=False \ capture.down=null capture.nbits_out=12 capture.awb_gains=null \ output=test_psf plot=True capture.exp=1`); // 2. Color correction console.log("[SERVER] Running color correction"); - await runCommand(`python3 scripts/measure/analyze_image.py \ + await runCommand(`python3 ../scripts/measure/analyze_image.py \ --fp test_psf/raw_data.png \ --bayer --gamma 2.2 --rg 2.0 --bg 1.1 --save test_psf/psf_rgb.png`); // 3. Autocorrelation (assumes psf_1mm/raw_data.png already exists) console.log("[SERVER] Running autocorrelation analysis"); - await runCommand(`python3 scripts/measure/analyze_image.py \ + await runCommand(`python3 ../scripts/measure/analyze_image.py \ --fp psf_1mm/raw_data.png \ --bayer --gamma 2.2 --rg 2.0 --bg 1.1 --lensless`); From 5e25cd7658195fbaa72f5d087484c10fce02581c Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 19:30:09 +0200 Subject: [PATCH 12/54] path fix --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 57bde645..b7176096 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -33,7 +33,7 @@ app.post('/run-demo', async (req, res) => { // 1. Capture console.log("[SERVER] Starting on-device capture"); - await runCommand(`python3 ../scripts/measure/on_device_capture.py \ + await runCommand(`PYTHONPATH=.. python3 ../scripts/measure/on_device_capture.py \ capture.legacy=True capture.bayer=True capture.rgb=False \ capture.down=null capture.nbits_out=12 capture.awb_gains=null \ output=test_psf plot=True capture.exp=1`); From 6d8cd8efda68b5b05e377d6957df9ff3fffef7c5 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 19:52:36 +0200 Subject: [PATCH 13/54] hydra fix --- lenslesswebapp/server/index.cjs | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index b7176096..f7374894 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -34,9 +34,9 @@ app.post('/run-demo', async (req, res) => { // 1. Capture console.log("[SERVER] Starting on-device capture"); await runCommand(`PYTHONPATH=.. python3 ../scripts/measure/on_device_capture.py \ - capture.legacy=True capture.bayer=True capture.rgb=False \ - capture.down=null capture.nbits_out=12 capture.awb_gains=null \ - output=test_psf plot=True capture.exp=1`); + +capture.legacy=True +capture.bayer=True +capture.rgb=False \ + +capture.down=null +capture.nbits_out=12 +capture.awb_gains=null \ + +output=test_psf +plot=True +capture.exp=1`); // 2. Color correction console.log("[SERVER] Running color correction"); From 50c7a2589479e630ef275d77fa946563b9c1dad9 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 20:32:19 +0200 Subject: [PATCH 14/54] fix cmd --- lenslesswebapp/server/index.cjs | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index f7374894..e2550fe2 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -34,9 +34,9 @@ app.post('/run-demo', async (req, res) => { // 1. Capture console.log("[SERVER] Starting on-device capture"); await runCommand(`PYTHONPATH=.. python3 ../scripts/measure/on_device_capture.py \ - +capture.legacy=True +capture.bayer=True +capture.rgb=False \ - +capture.down=null +capture.nbits_out=12 +capture.awb_gains=null \ - +output=test_psf +plot=True +capture.exp=1`); + sensor=rpi_hq bayer=True fn=test_psf/raw_data.png \ + exp=1 iso=100 config_pause=2 sensor_mode=0 \ + nbits_out=12 legacy=True rgb=False gray=False plot=True sixteen=True`); // 2. Color correction console.log("[SERVER] Running color correction"); From 6bb23b5ad648f548ac4164af9cf1eddb4806a413 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 20:36:16 +0200 Subject: [PATCH 15/54] update --- lenslesswebapp/server/index.cjs | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index e2550fe2..da6c011b 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -36,7 +36,8 @@ app.post('/run-demo', async (req, res) => { await runCommand(`PYTHONPATH=.. python3 ../scripts/measure/on_device_capture.py \ sensor=rpi_hq bayer=True fn=test_psf/raw_data.png \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ - nbits_out=12 legacy=True rgb=False gray=False plot=True sixteen=True`); + nbits_out=12 legacy=True rgb=False gray=False sixteen=True -- plot=True`); + // 2. Color correction console.log("[SERVER] Running color correction"); From 377a34f23f3bd57e367489a121073c5fd4aef8af Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 20:41:38 +0200 Subject: [PATCH 16/54] change --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index da6c011b..23f8d478 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -36,7 +36,7 @@ app.post('/run-demo', async (req, res) => { await runCommand(`PYTHONPATH=.. python3 ../scripts/measure/on_device_capture.py \ sensor=rpi_hq bayer=True fn=test_psf/raw_data.png \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ - nbits_out=12 legacy=True rgb=False gray=False sixteen=True -- plot=True`); + nbits_out=12 legacy=True rgb=False gray=False sixteen=True`); // 2. Color correction From 06d4843eeca934d4d53f6e634ae5256349998e5d Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 20:46:07 +0200 Subject: [PATCH 17/54] yarbi --- lenslesswebapp/server/index.cjs | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 23f8d478..88c714ed 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -33,10 +33,10 @@ app.post('/run-demo', async (req, res) => { // 1. Capture console.log("[SERVER] Starting on-device capture"); - await runCommand(`PYTHONPATH=.. python3 ../scripts/measure/on_device_capture.py \ + await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/on_device_capture.py \ sensor=rpi_hq bayer=True fn=test_psf/raw_data.png \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ - nbits_out=12 legacy=True rgb=False gray=False sixteen=True`); + nbits_out=12 legacy=True rgb=False gray=False sixteen=TÒrue`); // 2. Color correction From ed039803cfedc2c39ecf45d9c65f5b78a30e0f81 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 20:47:40 +0200 Subject: [PATCH 18/54] error --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 88c714ed..d1b8168e 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -36,7 +36,7 @@ app.post('/run-demo', async (req, res) => { await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/on_device_capture.py \ sensor=rpi_hq bayer=True fn=test_psf/raw_data.png \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ - nbits_out=12 legacy=True rgb=False gray=False sixteen=TÒrue`); + nbits_out=12 legacy=True rgb=False gray=False sixteen=True`); // 2. Color correction From e9489398c943134129ff25b777aca5366da0e10c Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 20:55:48 +0200 Subject: [PATCH 19/54] fix --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index d1b8168e..011c8b72 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -34,7 +34,7 @@ app.post('/run-demo', async (req, res) => { // 1. Capture console.log("[SERVER] Starting on-device capture"); await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/on_device_capture.py \ - sensor=rpi_hq bayer=True fn=test_psf/raw_data.png \ + sensor=rpi_hq bayer=True fn=test_psf/raw_data \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ nbits_out=12 legacy=True rgb=False gray=False sixteen=True`); From 3906ebb0bece8f9de0a1e6c8b1d2e59c54610027 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 20:59:30 +0200 Subject: [PATCH 20/54] mini fix --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 011c8b72..0bb45bb0 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -34,7 +34,7 @@ app.post('/run-demo', async (req, res) => { // 1. Capture console.log("[SERVER] Starting on-device capture"); await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/on_device_capture.py \ - sensor=rpi_hq bayer=True fn=test_psf/raw_data \ + sensor=rpi_hq bayer=True fn=remote_capture /raw_data \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ nbits_out=12 legacy=True rgb=False gray=False sixteen=True`); From e429cbfff14d6cf6be199384a962257cda137de2 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 21:01:41 +0200 Subject: [PATCH 21/54] fix --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 0bb45bb0..58805500 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -34,7 +34,7 @@ app.post('/run-demo', async (req, res) => { // 1. Capture console.log("[SERVER] Starting on-device capture"); await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/on_device_capture.py \ - sensor=rpi_hq bayer=True fn=remote_capture /raw_data \ + sensor=rpi_hq bayer=True fn=remote_capture \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ nbits_out=12 legacy=True rgb=False gray=False sixteen=True`); From 3fc2cd602bbe02b28a6de1c91804d2a7591c4279 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 21:04:22 +0200 Subject: [PATCH 22/54] fix --- lenslesswebapp/server/index.cjs | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 58805500..c0e6ad73 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -41,10 +41,11 @@ app.post('/run-demo', async (req, res) => { // 2. Color correction console.log("[SERVER] Running color correction"); - await runCommand(`python3 ../scripts/measure/analyze_image.py \ + await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/analyze_image.py \ --fp test_psf/raw_data.png \ --bayer --gamma 2.2 --rg 2.0 --bg 1.1 --save test_psf/psf_rgb.png`); + // 3. Autocorrelation (assumes psf_1mm/raw_data.png already exists) console.log("[SERVER] Running autocorrelation analysis"); await runCommand(`python3 ../scripts/measure/analyze_image.py \ From e94a9cd514045729f611015e8ae425ddb48bd25a Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 21:07:33 +0200 Subject: [PATCH 23/54] insha --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index c0e6ad73..4ba47c4f 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -34,7 +34,7 @@ app.post('/run-demo', async (req, res) => { // 1. Capture console.log("[SERVER] Starting on-device capture"); await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/on_device_capture.py \ - sensor=rpi_hq bayer=True fn=remote_capture \ + sensor=rpi_hq bayer=True fn=test_psf/raw_data \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ nbits_out=12 legacy=True rgb=False gray=False sixteen=True`); From 1fc70450f67a36a20ca785013d2dba56baac57f4 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 21:13:07 +0200 Subject: [PATCH 24/54] yep --- test_psf/test | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 test_psf/test diff --git a/test_psf/test b/test_psf/test new file mode 100644 index 00000000..e69de29b From a91aed4bb0024eac2b95a4bc1377faf565993310 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 21:16:01 +0200 Subject: [PATCH 25/54] f --- lenslesswebapp/server/index.cjs | 1 + 1 file changed, 1 insertion(+) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 4ba47c4f..acf44bbc 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -33,6 +33,7 @@ app.post('/run-demo', async (req, res) => { // 1. Capture console.log("[SERVER] Starting on-device capture"); + await runCommand(`mkdir -p test_psf`); await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/on_device_capture.py \ sensor=rpi_hq bayer=True fn=test_psf/raw_data \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ From 3019858de28fd4deaafc72c7e7619c12622b8c28 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 21:25:29 +0200 Subject: [PATCH 26/54] fix --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index acf44bbc..31a77789 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -49,7 +49,7 @@ app.post('/run-demo', async (req, res) => { // 3. Autocorrelation (assumes psf_1mm/raw_data.png already exists) console.log("[SERVER] Running autocorrelation analysis"); - await runCommand(`python3 ../scripts/measure/analyze_image.py \ + await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/analyze_image.py \ --fp psf_1mm/raw_data.png \ --bayer --gamma 2.2 --rg 2.0 --bg 1.1 --lensless`); From 57b0bd63d25fef9f60d83a6e518a9cf2a4931cd5 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 21:34:42 +0200 Subject: [PATCH 27/54] puree --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 31a77789..1a7ece97 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -50,7 +50,7 @@ app.post('/run-demo', async (req, res) => { // 3. Autocorrelation (assumes psf_1mm/raw_data.png already exists) console.log("[SERVER] Running autocorrelation analysis"); await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/analyze_image.py \ - --fp psf_1mm/raw_data.png \ + --fp test_psf/raw_data.png \ --bayer --gamma 2.2 --rg 2.0 --bg 1.1 --lensless`); // Read both images as base64 From 76fc9664ce8924fe289eae2d2810c94fe413fa4a Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 21:56:21 +0200 Subject: [PATCH 28/54] h --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 1a7ece97..a26be267 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -37,7 +37,7 @@ app.post('/run-demo', async (req, res) => { await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/on_device_capture.py \ sensor=rpi_hq bayer=True fn=test_psf/raw_data \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ - nbits_out=12 legacy=True rgb=False gray=False sixteen=True`); + nbits_out=12 legacy=True rgb=False gray=False sixteen=True down=2`); // 2. Color correction From 518d4b0937c26caa339c57e826efb42d4f625463 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 22:09:25 +0200 Subject: [PATCH 29/54] yo --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index a26be267..8e9671dd 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -37,7 +37,7 @@ app.post('/run-demo', async (req, res) => { await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/on_device_capture.py \ sensor=rpi_hq bayer=True fn=test_psf/raw_data \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ - nbits_out=12 legacy=True rgb=False gray=False sixteen=True down=2`); + nbits_out=12 legacy=True rgb=False gray=False sixteen=True down=4`); // 2. Color correction From 3f8b060051026df43eca40d688eac1a8102e059e Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 22:34:45 +0200 Subject: [PATCH 30/54] ok --- lenslesswebapp/src/DemoPage.tsx | 28 +++++++++++++++++++++++----- scripts/measure/analyze_image.py | 10 +++++----- 2 files changed, 28 insertions(+), 10 deletions(-) diff --git a/lenslesswebapp/src/DemoPage.tsx b/lenslesswebapp/src/DemoPage.tsx index 55f398a2..28da503d 100644 --- a/lenslesswebapp/src/DemoPage.tsx +++ b/lenslesswebapp/src/DemoPage.tsx @@ -63,21 +63,30 @@ export default function Demo() { }; const triggerCamera = async () => { - setShowCamera(true); + console.log("Requesting webcam access..."); try { const stream = await navigator.mediaDevices.getUserMedia({ video: true }); + console.log("Webcam stream obtained:", stream); if (videoRef.current) { videoRef.current.srcObject = stream; - videoRef.current.play(); + await videoRef.current.play(); + setShowCamera(true); + } else { + console.warn("videoRef.current is null"); } } catch (err) { console.error("Error accessing webcam: ", err); + alert("Could not access your webcam. Please check browser permissions or try a different browser."); } }; const takeSnapshot = () => { const video = videoRef.current; const canvas = canvasRef.current; + if (!video || !canvas) { + console.error("Video or canvas not available for snapshot."); + return; + } const context = canvas.getContext("2d"); canvas.width = video.videoWidth; canvas.height = video.videoHeight; @@ -85,7 +94,10 @@ export default function Demo() { const dataURL = canvas.toDataURL("image/png"); setImagePreview(dataURL); setShowCamera(false); - video.srcObject.getTracks().forEach((track) => track.stop()); + + if (video.srcObject) { + video.srcObject.getTracks().forEach((track) => track.stop()); + } }; return ( @@ -191,7 +203,13 @@ export default function Demo() { {showCamera && (
-
@@ -199,4 +217,4 @@ export default function Demo() { )}
); -} +} \ No newline at end of file diff --git a/scripts/measure/analyze_image.py b/scripts/measure/analyze_image.py index c6bf21ff..de2c8f16 100644 --- a/scripts/measure/analyze_image.py +++ b/scripts/measure/analyze_image.py @@ -122,13 +122,13 @@ def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, s fig_gray, ax_gray = plt.subplots(ncols=2, nrows=1, num="Grayscale", figsize=(15, 5)) # Auto white balance loop (always on for Bayer + save) if bayer and save is not None: - print("🔁 Starting automatic red/blue gain tuning...") + print(" Starting automatic red/blue gain tuning...") rg = rg or 1.0 bg = bg or 1.0 max_iter = 10 for i in range(max_iter): - print(f"\n▶️ Iteration {i+1}: rg={rg:.3f}, bg={bg:.3f}") + print(f"\n Iteration {i+1}: rg={rg:.3f}, bg={bg:.3f}") img = load_image( fp, @@ -144,11 +144,11 @@ def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, s nbits = int(np.ceil(np.log2(img.max()))) done, (r, g, b), (err_r, err_b) = check_balance(img) - print(f"📊 Channel means — R: {r:.1f}, G: {g:.1f}, B: {b:.1f}") - print(f"📉 Errors — R: {err_r:.3f}, B: {err_b:.3f}") + print(f" Channel means — R: {r:.1f}, G: {g:.1f}, B: {b:.1f}") + print(f" Errors — R: {err_r:.3f}, B: {err_b:.3f}") if done: - print("✅ White balance converged.") + print(" White balance converged.") break if r > 0: From ba01ee793a895fb825ae1867bbac25d02d4e0dd0 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 22:46:10 +0200 Subject: [PATCH 31/54] yo --- lenslesswebapp/vite.config.ts | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/lenslesswebapp/vite.config.ts b/lenslesswebapp/vite.config.ts index 8b0f57b9..03e4b92e 100644 --- a/lenslesswebapp/vite.config.ts +++ b/lenslesswebapp/vite.config.ts @@ -1,7 +1,14 @@ -import { defineConfig } from 'vite' -import react from '@vitejs/plugin-react' +import { defineConfig } from 'vite'; +import fs from 'fs'; +import path from 'path'; -// https://vite.dev/config/ export default defineConfig({ - plugins: [react()], -}) + server: { + https: { + key: fs.readFileSync(path.resolve(__dirname, 'certs/key.pem')), + cert: fs.readFileSync(path.resolve(__dirname, 'certs/cert.pem')), + }, + host: true, + port: 5173, + }, +}); From f58a8d203902527d6ab3c0baa735031f963d7673 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 22:59:40 +0200 Subject: [PATCH 32/54] ok --- lenslesswebapp/src/DemoPage.tsx | 31 ++++++++++++++++--------------- 1 file changed, 16 insertions(+), 15 deletions(-) diff --git a/lenslesswebapp/src/DemoPage.tsx b/lenslesswebapp/src/DemoPage.tsx index 28da503d..0a621719 100644 --- a/lenslesswebapp/src/DemoPage.tsx +++ b/lenslesswebapp/src/DemoPage.tsx @@ -63,22 +63,23 @@ export default function Demo() { }; const triggerCamera = async () => { - console.log("Requesting webcam access..."); - try { - const stream = await navigator.mediaDevices.getUserMedia({ video: true }); - console.log("Webcam stream obtained:", stream); - if (videoRef.current) { - videoRef.current.srcObject = stream; - await videoRef.current.play(); - setShowCamera(true); - } else { - console.warn("videoRef.current is null"); - } - } catch (err) { - console.error("Error accessing webcam: ", err); - alert("Could not access your webcam. Please check browser permissions or try a different browser."); + console.log("Requesting webcam access..."); + try { + const stream = await navigator.mediaDevices.getUserMedia({ video: true }); + console.log("Webcam stream obtained:", stream); + + if (videoRef.current) { + videoRef.current.srcObject = stream; + await videoRef.current.play(); + console.log("Video is playing."); + setShowCamera(true); + } else { + console.warn("videoRef.current is null"); } - }; + } catch (err) { + console.error("Error accessing webcam: ", err); + } +}; const takeSnapshot = () => { const video = videoRef.current; From ef3e0a9fddc0176b7426826565c3174f383f53cc Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Mon, 26 May 2025 23:09:57 +0200 Subject: [PATCH 33/54] puree --- lenslesswebapp/src/DemoPage.tsx | 34 +++++++++++++++++---------------- 1 file changed, 18 insertions(+), 16 deletions(-) diff --git a/lenslesswebapp/src/DemoPage.tsx b/lenslesswebapp/src/DemoPage.tsx index 0a621719..87f27328 100644 --- a/lenslesswebapp/src/DemoPage.tsx +++ b/lenslesswebapp/src/DemoPage.tsx @@ -14,10 +14,19 @@ export default function Demo() { const fileInputRef = useRef(null); const videoRef = useRef(null); const canvasRef = useRef(null); + const streamRef = useRef(null); const [psfImage, setPsfImage] = useState(null); const [autocorrImage, setAutocorrImage] = useState(null); + useEffect(() => { + if (showCamera && videoRef.current && streamRef.current) { + videoRef.current.srcObject = streamRef.current; + videoRef.current.play(); + console.log("Video is now playing via useEffect."); + } + }, [showCamera]); + const handleFileChange = (e) => { const file = e.target.files[0]; setSelectedFile(file); @@ -63,23 +72,16 @@ export default function Demo() { }; const triggerCamera = async () => { - console.log("Requesting webcam access..."); - try { - const stream = await navigator.mediaDevices.getUserMedia({ video: true }); - console.log("Webcam stream obtained:", stream); - - if (videoRef.current) { - videoRef.current.srcObject = stream; - await videoRef.current.play(); - console.log("Video is playing."); + console.log("Requesting webcam access..."); + try { + const stream = await navigator.mediaDevices.getUserMedia({ video: true }); + console.log("Webcam stream obtained:", stream); + streamRef.current = stream; setShowCamera(true); - } else { - console.warn("videoRef.current is null"); + } catch (err) { + console.error("Error accessing webcam: ", err); } - } catch (err) { - console.error("Error accessing webcam: ", err); - } -}; + }; const takeSnapshot = () => { const video = videoRef.current; @@ -218,4 +220,4 @@ export default function Demo() { )} ); -} \ No newline at end of file +} From f688c381fa8f33e9771d1ef396bddb0302841593 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Tue, 27 May 2025 13:34:24 +0200 Subject: [PATCH 34/54] fix --- lenslesswebapp/server/index.cjs | 12 ++++++++++-- lenslesswebapp/src/DemoPage.tsx | 2 +- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 8e9671dd..d77eecc4 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -3,6 +3,8 @@ const cors = require('cors'); const { exec } = require('child_process'); const path = require('path'); const fs = require('fs'); +const https = require('https'); + const app = express(); const PORT = 5000; @@ -69,6 +71,12 @@ app.post('/run-demo', async (req, res) => { } }); -app.listen(PORT, () => { - console.log(`Demo backend running on http://localhost:${PORT}`); +const https = require('https'); + +const key = fs.readFileSync(path.join(__dirname, '../certs/key.pem')); +const cert = fs.readFileSync(path.join(__dirname, '../certs/cert.pem')); + +https.createServer({ key, cert }, app).listen(PORT, '0.0.0.0', () => { + console.log(`✅ Demo backend running on https://128.179.187.191:${PORT}`); }); + diff --git a/lenslesswebapp/src/DemoPage.tsx b/lenslesswebapp/src/DemoPage.tsx index 87f27328..584da18e 100644 --- a/lenslesswebapp/src/DemoPage.tsx +++ b/lenslesswebapp/src/DemoPage.tsx @@ -49,7 +49,7 @@ export default function Demo() { const handleRunCapture = () => { setShowPSFModal(false); - fetch('http://128.179.187.191:5000/run-demo', { + fetch('https://128.179.187.191:5000/run-demo', { method: 'POST', }) .then((res) => res.json()) From ec13451c0b907362eb464f8377440820824aca24 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Tue, 27 May 2025 13:35:02 +0200 Subject: [PATCH 35/54] oups --- lenslesswebapp/server/index.cjs | 1 - 1 file changed, 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index d77eecc4..bf562d59 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -71,7 +71,6 @@ app.post('/run-demo', async (req, res) => { } }); -const https = require('https'); const key = fs.readFileSync(path.join(__dirname, '../certs/key.pem')); const cert = fs.readFileSync(path.join(__dirname, '../certs/cert.pem')); From c046f2a717ced756d957a56505d765f116230844 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Tue, 27 May 2025 13:38:51 +0200 Subject: [PATCH 36/54] ok --- test_psf/test | 0 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 test_psf/test diff --git a/test_psf/test b/test_psf/test deleted file mode 100644 index e69de29b..00000000 From bda121b21f941db8311972af98f9f797c53706bf Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Tue, 27 May 2025 13:40:23 +0200 Subject: [PATCH 37/54] ok --- scripts/measure/analyze_image.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/scripts/measure/analyze_image.py b/scripts/measure/analyze_image.py index de2c8f16..a3ed1d95 100644 --- a/scripts/measure/analyze_image.py +++ b/scripts/measure/analyze_image.py @@ -128,7 +128,7 @@ def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, s max_iter = 10 for i in range(max_iter): - print(f"\n Iteration {i+1}: rg={rg:.3f}, bg={bg:.3f}") + #print(f"\n Iteration {i+1}: rg={rg:.3f}, bg={bg:.3f}") img = load_image( fp, @@ -144,8 +144,8 @@ def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, s nbits = int(np.ceil(np.log2(img.max()))) done, (r, g, b), (err_r, err_b) = check_balance(img) - print(f" Channel means — R: {r:.1f}, G: {g:.1f}, B: {b:.1f}") - print(f" Errors — R: {err_r:.3f}, B: {err_b:.3f}") + #print(f" Channel means — R: {r:.1f}, G: {g:.1f}, B: {b:.1f}") + #print(f" Errors — R: {err_r:.3f}, B: {err_b:.3f}") if done: print(" White balance converged.") @@ -156,7 +156,7 @@ def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, s if b > 0: bg *= g / b - print(f"🎯 Final gains: rg={rg:.3f}, bg={bg:.3f}") + print(f" Final gains: rg={rg:.3f}, bg={bg:.3f}") else: # load PSF/image From c9e4dc5a9d14c2c507a6d5e21eb4b3b41a1d4c33 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Tue, 27 May 2025 13:44:23 +0200 Subject: [PATCH 38/54] t --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index bf562d59..e84fc4f0 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -37,7 +37,7 @@ app.post('/run-demo', async (req, res) => { console.log("[SERVER] Starting on-device capture"); await runCommand(`mkdir -p test_psf`); await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/on_device_capture.py \ - sensor=rpi_hq bayer=True fn=test_psf/raw_data \ + sensor=rpi_hq bayer=True fn=remote_capture \ exp=1 iso=100 config_pause=2 sensor_mode=0 \ nbits_out=12 legacy=True rgb=False gray=False sixteen=True down=4`); From 2eb47fedd2f233ab396c48a54a156a509b5afa5c Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Tue, 27 May 2025 13:52:12 +0200 Subject: [PATCH 39/54] ok live text --- lenslesswebapp/server/index.cjs | 124 +++++++++++++++++++++----------- 1 file changed, 82 insertions(+), 42 deletions(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index e84fc4f0..fb8f3dfc 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -1,29 +1,36 @@ const express = require('express'); const cors = require('cors'); -const { exec } = require('child_process'); +const { spawn } = require('child_process'); const path = require('path'); const fs = require('fs'); const https = require('https'); - const app = express(); const PORT = 5000; app.use(cors()); app.use(express.json()); -// Helper function to execute a command and return a Promise -function runCommand(command) { - console.log(`Running command: ${command}`); +// Helper function to execute a shell command with real-time output +function runCommandLive(command, args, cwd) { + console.log(`\n[COMMAND] ${command} ${args.join(' ')}\n`); return new Promise((resolve, reject) => { - exec(command, (error, stdout, stderr) => { - if (error) { - console.error(`Error running command: ${command}`); - console.error(stderr); - reject(stderr); + const proc = spawn(command, args, { cwd, shell: true }); + + proc.stdout.on('data', (data) => { + process.stdout.write(`[stdout] ${data}`); + }); + + proc.stderr.on('data', (data) => { + process.stderr.write(`[stderr] ${data}`); + }); + + proc.on('close', (code) => { + if (code === 0) { + console.log(`[✅] Command completed: ${command}`); + resolve(); } else { - console.log(`Command output: ${stdout}`); - resolve(stdout); + reject(new Error(`Command failed with exit code ${code}`)); } }); }); @@ -33,32 +40,66 @@ app.post('/run-demo', async (req, res) => { try { console.log("[SERVER] /run-demo endpoint hit"); - // 1. Capture - console.log("[SERVER] Starting on-device capture"); - await runCommand(`mkdir -p test_psf`); - await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/on_device_capture.py \ - sensor=rpi_hq bayer=True fn=remote_capture \ - exp=1 iso=100 config_pause=2 sensor_mode=0 \ - nbits_out=12 legacy=True rgb=False gray=False sixteen=True down=4`); - - - // 2. Color correction - console.log("[SERVER] Running color correction"); - await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/analyze_image.py \ - --fp test_psf/raw_data.png \ - --bayer --gamma 2.2 --rg 2.0 --bg 1.1 --save test_psf/psf_rgb.png`); - - - // 3. Autocorrelation (assumes psf_1mm/raw_data.png already exists) - console.log("[SERVER] Running autocorrelation analysis"); - await runCommand(`PYTHONPATH=.. ~/LenslessPiCam/lensless_env/bin/python ../scripts/measure/analyze_image.py \ - --fp test_psf/raw_data.png \ - --bayer --gamma 2.2 --rg 2.0 --bg 1.1 --lensless`); - - // Read both images as base64 - console.log("[SERVER] Reading images and sending response"); - const psfBuffer = fs.readFileSync(path.join(__dirname, '../test_psf/psf_rgb.png')); - const autocorrBuffer = fs.readFileSync(path.join(__dirname, '../psf_1mm/autocorr.png')); + const repoRoot = path.join(__dirname, '..'); + + // 1. Create test_psf directory + await runCommandLive('mkdir', ['-p', 'test_psf'], repoRoot); + + // 2. Run on-device capture + await runCommandLive( + path.join(repoRoot, 'lensless_env/bin/python'), + [ + 'scripts/measure/on_device_capture.py', + 'sensor=rpi_hq', + 'bayer=True', + 'fn=test_psf/raw_data', + 'exp=1', + 'iso=100', + 'config_pause=2', + 'sensor_mode=0', + 'nbits_out=12', + 'legacy=True', + 'rgb=False', + 'gray=False', + 'sixteen=True', + 'down=4' + ], + repoRoot + ); + + // 3. Run color correction + await runCommandLive( + path.join(repoRoot, 'lensless_env/bin/python'), + [ + 'scripts/measure/analyze_image.py', + '--fp', 'test_psf/raw_data.png', + '--bayer', + '--gamma', '2.2', + '--rg', '2.0', + '--bg', '1.1', + '--save', 'test_psf/psf_rgb.png' + ], + repoRoot + ); + + // 4. Run autocorrelation + await runCommandLive( + path.join(repoRoot, 'lensless_env/bin/python'), + [ + 'scripts/measure/analyze_image.py', + '--fp', 'test_psf/raw_data.png', + '--bayer', + '--gamma', '2.2', + '--rg', '2.0', + '--bg', '1.1', + '--lensless' + ], + repoRoot + ); + + // 5. Read images and respond + const psfBuffer = fs.readFileSync(path.join(repoRoot, 'test_psf/psf_rgb.png')); + const autocorrBuffer = fs.readFileSync(path.join(repoRoot, 'psf_1mm/autocorr.png')); res.json({ psf: psfBuffer.toString('base64'), @@ -67,15 +108,14 @@ app.post('/run-demo', async (req, res) => { } catch (err) { console.error("[SERVER] Error in /run-demo", err); - res.status(500).send({ error: 'Demo failed to run', details: err }); + res.status(500).send({ error: 'Demo failed to run', details: err.toString() }); } }); - +// HTTPS server const key = fs.readFileSync(path.join(__dirname, '../certs/key.pem')); const cert = fs.readFileSync(path.join(__dirname, '../certs/cert.pem')); https.createServer({ key, cert }, app).listen(PORT, '0.0.0.0', () => { - console.log(`✅ Demo backend running on https://128.179.187.191:${PORT}`); + console.log(`Demo backend running on https://128.179.187.191:${PORT}`); }); - From 993cea05429a2d0f03b8c5ed4743ec53fe669f13 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Tue, 27 May 2025 14:01:15 +0200 Subject: [PATCH 40/54] ok --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index fb8f3dfc..46226254 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -27,7 +27,7 @@ function runCommandLive(command, args, cwd) { proc.on('close', (code) => { if (code === 0) { - console.log(`[✅] Command completed: ${command}`); + console.log(` Command completed: ${command}`); resolve(); } else { reject(new Error(`Command failed with exit code ${code}`)); From dcb486c60b26704b5c61fdf9b5b76a224dde0d5c Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Tue, 27 May 2025 15:32:47 +0200 Subject: [PATCH 41/54] yo --- lenslesswebapp/server/index.cjs | 26 ++++++++++++-------------- 1 file changed, 12 insertions(+), 14 deletions(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 46226254..bafbe167 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -49,20 +49,18 @@ app.post('/run-demo', async (req, res) => { await runCommandLive( path.join(repoRoot, 'lensless_env/bin/python'), [ - 'scripts/measure/on_device_capture.py', - 'sensor=rpi_hq', - 'bayer=True', - 'fn=test_psf/raw_data', - 'exp=1', - 'iso=100', - 'config_pause=2', - 'sensor_mode=0', - 'nbits_out=12', - 'legacy=True', - 'rgb=False', - 'gray=False', - 'sixteen=True', - 'down=4' + 'scripts/measure/remote_capture.py', + 'rpi.username=pi3', + 'rpi.hostname=128.179.187.191', + 'capture.legacy=True', + 'capture.bayer=True', + 'capture.rgb=False', + 'capture.down=null', + 'capture.nbits_out=12', + 'capture.awb_gains=null', + 'output=test_psf', + 'plot=True', + 'capture.exp=1' ], repoRoot ); From 11ec192a160d88871d7161e84aff3339a71e1f63 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Tue, 27 May 2025 15:34:36 +0200 Subject: [PATCH 42/54] y --- lenslesswebapp/server/index.cjs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index bafbe167..b5c051da 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -43,7 +43,7 @@ app.post('/run-demo', async (req, res) => { const repoRoot = path.join(__dirname, '..'); // 1. Create test_psf directory - await runCommandLive('mkdir', ['-p', 'test_psf'], repoRoot); + //await runCommandLive('mkdir', ['-p', 'test_psf'], repoRoot); // 2. Run on-device capture await runCommandLive( From 8110eb23a84d8308510bf193c7fa338fdbe9af90 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Tue, 27 May 2025 15:36:00 +0200 Subject: [PATCH 43/54] yo --- lenslesswebapp/server/index.cjs | 28 +++++++++++++++------------- 1 file changed, 15 insertions(+), 13 deletions(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index b5c051da..46226254 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -43,24 +43,26 @@ app.post('/run-demo', async (req, res) => { const repoRoot = path.join(__dirname, '..'); // 1. Create test_psf directory - //await runCommandLive('mkdir', ['-p', 'test_psf'], repoRoot); + await runCommandLive('mkdir', ['-p', 'test_psf'], repoRoot); // 2. Run on-device capture await runCommandLive( path.join(repoRoot, 'lensless_env/bin/python'), [ - 'scripts/measure/remote_capture.py', - 'rpi.username=pi3', - 'rpi.hostname=128.179.187.191', - 'capture.legacy=True', - 'capture.bayer=True', - 'capture.rgb=False', - 'capture.down=null', - 'capture.nbits_out=12', - 'capture.awb_gains=null', - 'output=test_psf', - 'plot=True', - 'capture.exp=1' + 'scripts/measure/on_device_capture.py', + 'sensor=rpi_hq', + 'bayer=True', + 'fn=test_psf/raw_data', + 'exp=1', + 'iso=100', + 'config_pause=2', + 'sensor_mode=0', + 'nbits_out=12', + 'legacy=True', + 'rgb=False', + 'gray=False', + 'sixteen=True', + 'down=4' ], repoRoot ); From 15ae7068811207bc74a48faf9ed6458d1d9be2ca Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Tue, 27 May 2025 15:40:28 +0200 Subject: [PATCH 44/54] t --- lenslesswebapp/server/index.cjs | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 46226254..9e704a8f 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -47,7 +47,7 @@ app.post('/run-demo', async (req, res) => { // 2. Run on-device capture await runCommandLive( - path.join(repoRoot, 'lensless_env/bin/python'), + path.join(repoRoot, '/home/pi3/LenslessPiCam/lensless_env/bin/python'), [ 'scripts/measure/on_device_capture.py', 'sensor=rpi_hq', @@ -69,7 +69,7 @@ app.post('/run-demo', async (req, res) => { // 3. Run color correction await runCommandLive( - path.join(repoRoot, 'lensless_env/bin/python'), + path.join(repoRoot, '/home/pi3/LenslessPiCam/lensless_env/bin/python'), [ 'scripts/measure/analyze_image.py', '--fp', 'test_psf/raw_data.png', @@ -84,7 +84,7 @@ app.post('/run-demo', async (req, res) => { // 4. Run autocorrelation await runCommandLive( - path.join(repoRoot, 'lensless_env/bin/python'), + path.join(repoRoot, '/home/pi3/LenslessPiCam/lensless_env/bin/python'), [ 'scripts/measure/analyze_image.py', '--fp', 'test_psf/raw_data.png', From 6a6a4bb2d54467fc447cb124cd26347dc4d0fb8b Mon Sep 17 00:00:00 2001 From: Eric Bezzam Date: Wed, 11 Jun 2025 20:31:01 +0200 Subject: [PATCH 45/54] yep --- lensless/utils/io.py | 11 +- lensless/utils/plot.py | 1 + lenslesswebapp/certs/cert.pem | 21 + lenslesswebapp/certs/key.pem | 28 + lenslesswebapp/server/index.cjs | 397 ++++++++++++-- lenslesswebapp/src/DemoPage.tsx | 674 ++++++++++++++++++++++-- lenslesswebapp/src/PhoneCapturePage.tsx | 99 ++++ lenslesswebapp/src/main.tsx | 2 + scripts/measure/analyze_image.py | 127 ++--- scripts/measure/on_device_capture.py | 246 +++++---- 10 files changed, 1350 insertions(+), 256 deletions(-) create mode 100644 lenslesswebapp/certs/cert.pem create mode 100644 lenslesswebapp/certs/key.pem create mode 100644 lenslesswebapp/src/PhoneCapturePage.tsx diff --git a/lensless/utils/io.py b/lensless/utils/io.py index 5596befd..43e07963 100644 --- a/lensless/utils/io.py +++ b/lensless/utils/io.py @@ -166,9 +166,6 @@ def load_image( if flip_lr: img = np.fliplr(img) - if verbose: - print_image_info(img) - if bg is not None: # if bg is float vector, turn into int-valued vector @@ -204,6 +201,9 @@ def load_image( dtype = original_dtype img = img.astype(dtype) + if verbose: + print_image_info(img) + return img @@ -292,7 +292,7 @@ def load_psf( else: psf = load_image( fp, - verbose=verbose, + verbose=False, flip=flip, flip_ud=flip_ud, flip_lr=flip_lr, @@ -377,6 +377,9 @@ def load_psf( else: psf = psf.astype(original_dtype) + if verbose: + print_image_info(psf) + if return_bg: return psf, bg else: diff --git a/lensless/utils/plot.py b/lensless/utils/plot.py index d3537f6c..8c910c2e 100644 --- a/lensless/utils/plot.py +++ b/lensless/utils/plot.py @@ -244,6 +244,7 @@ def plot_cross_section( width = 2 * np.abs(first_crossing) ax.axvline(x=-first_crossing, c="k", linestyle="--") ax.axvline(x=+first_crossing, c="k", linestyle="--") + print(f"{plot_db_drop}dB width : {width} pixels") ax.set_title("Cross-section") ax.set_xlabel(f"-{plot_db_drop}dB width = {width}") diff --git a/lenslesswebapp/certs/cert.pem b/lenslesswebapp/certs/cert.pem new file mode 100644 index 00000000..3487c375 --- /dev/null +++ b/lenslesswebapp/certs/cert.pem @@ -0,0 +1,21 @@ +-----BEGIN CERTIFICATE----- +MIIDazCCAlOgAwIBAgIUAmpNnEumFYfvt5NTep9I3OCY77EwDQYJKoZIhvcNAQEL +BQAwRTELMAkGA1UEBhMCQVUxEzARBgNVBAgMClNvbWUtU3RhdGUxITAfBgNVBAoM +GEludGVybmV0IFdpZGdpdHMgUHR5IEx0ZDAeFw0yNTA1MjYyMDQxMTNaFw0yNjA1 +MjYyMDQxMTNaMEUxCzAJBgNVBAYTAkFVMRMwEQYDVQQIDApTb21lLVN0YXRlMSEw +HwYDVQQKDBhJbnRlcm5ldCBXaWRnaXRzIFB0eSBMdGQwggEiMA0GCSqGSIb3DQEB +AQUAA4IBDwAwggEKAoIBAQC7OtwdIEVMKhFahfN1e3TSQ9gES6wKwtK+dZhFghHG +5Sss1kMCV6zEZwklJ0fRbLO1v0r6dRI4oa/Db+N7VLyWqQ9pwg6pXm5sH50Vy/Bq +fx6+GqZJD+IyaRLuozZthIJ6kRFDtnpq4XRoyaKfR2LflEcwaoPoC4uz/+wuUNWQ +X8omD9hTrsaPRmv2EXhDIDt/qRFK/B9HKaXDhb+f26RH0BNBn2DR2fWWf7hhdzJI +Hhcjseld9FOx0aQwck/9W9TQyq6tJWv6u/YhclWluRbhJeEsRXOhPInn4nvLT8RS +Jxsmlrgseel3xCd8I1bDBqkgNJk9mXRenN63FmG1WQ23AgMBAAGjUzBRMB0GA1Ud +DgQWBBQwkkpU1nzXUjkTJ8JEhQUEF+BfYTAfBgNVHSMEGDAWgBQwkkpU1nzXUjkT +J8JEhQUEF+BfYTAPBgNVHRMBAf8EBTADAQH/MA0GCSqGSIb3DQEBCwUAA4IBAQB2 +jS76qgb0/IT8NkCCH5Rz1fvCadkP3wsPhpU1hs7SQymmyWEra+M+SsyZ2jEotERg +l/wjeY0RY2YQpBOqTZ/HM0kdsz/JnMs1LciQmlVoU8Po7KiJ8m+6+WducoDYqFks +CXoQDXObfDHaRJDEcgqpPqLXMkRNZMGajB4Axp2Osbjxx2aNVqSCXDRPcnrbXaed +BWVDwDXMsGCOp0oBfldTbxSRiU3IaOaIpPzJJz2ML87hpQbO4SuXjA2gI6AOdCbc +7gcVn1HmmP0oL9EsILgqlOww8J0bEUr2AJIz9Av86Jy4iE24Q9FYDDXKApNYnsKS +lcQAnY/DCgySeDrbPwTg +-----END CERTIFICATE----- diff --git a/lenslesswebapp/certs/key.pem b/lenslesswebapp/certs/key.pem new file mode 100644 index 00000000..f911b156 --- /dev/null +++ b/lenslesswebapp/certs/key.pem @@ -0,0 +1,28 @@ +-----BEGIN PRIVATE KEY----- +MIIEvgIBADANBgkqhkiG9w0BAQEFAASCBKgwggSkAgEAAoIBAQC7OtwdIEVMKhFa +hfN1e3TSQ9gES6wKwtK+dZhFghHG5Sss1kMCV6zEZwklJ0fRbLO1v0r6dRI4oa/D +b+N7VLyWqQ9pwg6pXm5sH50Vy/Bqfx6+GqZJD+IyaRLuozZthIJ6kRFDtnpq4XRo +yaKfR2LflEcwaoPoC4uz/+wuUNWQX8omD9hTrsaPRmv2EXhDIDt/qRFK/B9HKaXD +hb+f26RH0BNBn2DR2fWWf7hhdzJIHhcjseld9FOx0aQwck/9W9TQyq6tJWv6u/Yh +clWluRbhJeEsRXOhPInn4nvLT8RSJxsmlrgseel3xCd8I1bDBqkgNJk9mXRenN63 +FmG1WQ23AgMBAAECggEAIeElwXN8dqrKFxpUErczTXUPWr+isxPL9MDsu+8sblQ7 +utJOr9bToXqPkhSIj2HfJw0lcSrMEElZt8DAZinQMmcHLfj6lDVNP+18jFwp9eto +0beazW+9W6fd0Cbii3DF943WlO0pO7vuR6Ps9GuDfbekJiOwGMY2Em1F/J+N9aDA +PJ0oplWmDC3ZlxDGyR76mYdxZedtXLtm8k5P0B/QiqqoCmw8TlIBLldMNdFtLJ2n +AXkmCRlPqmUZHQVC155NXxG9sOCkANA2Oi3IP5lF0VskGHhKgPaqpA+0yzP3wooW +y6GnkkZcaiCBMoGQ99ceIVMFREcNN8UJZzmVP/fqCQKBgQDuOX3/1KB6pKV1QMaI +IMzY9j8Vl5xEX1S++A1ZC74Bhagm41kTWV9xEzUaTU2D4TGv/bYGnrsHNoOdBraT +9capMwbNTCW+zm4T750KirX1icPCtHRd3WEScnzxx7DZAF1czkWPHrj1VRzwPNlp +kMeAS1rAargt17W34Qn6zROojQKBgQDJM0e11qvD7BlQ7AeGbMNBMgzx5IghcsrI +wIUn8gFtxgmOhyeGg1SDgyxXNMng3xoW0gzoKPMJyMOUZ3FDKq4U/C8muXoDL/gp +KgpCNBXFu/U5e1O64N3UAgG5WznUBCSYjV482bsGINz7YuQMHyPwXzhim2UCmLpw ++1RXVMkIUwKBgETkuYyn6DUvsm4DaqbpnXRNWpca/mVDkJWd1PZgj/WOur9sVlFj +MlfYLy5JFtbB5IW6AM9PTlVarZtW2qxVkrtR93CdyfixaGI5lJf833x/9+4yE8kl +gbI9C+c8Ueef1GBHgxRN1T2V/MV5Q4LlDN0MbdVhx5vyWyovWZx/fGTtAoGBAI/4 +CLUeIhR0qfzUl+Hhi6noFYk1PQ+qI16ZG+7kZY9WKNp67ZZ7/QqJ3z2bgWVOX027 +Cg9J1fbHWOOlTU+Bh8VuWpL8H0mOlqVl9qc+u+GcyDFUhSpw42pj8TXgCDYkrMcY +STmDlycgdt/O+F2QHthOWnt8tD+yZ56WyNggzCUPAoGBAOzoNITTYRY6tBMH/yx5 +xn7fL5z2nrBLv5UB1bXCXixgQr2mzVZnmHhUwTCWp99AIgCZzNRRvPMqAbt7+ue2 +Db4hqzBJMgODB5GIND2qPL3nNW5Y7VmXLFilq6C9poD/1IhgTvpGX8YJju6Wv54i +ziCsqlYgH2+WobTVuJDS20ZR +-----END PRIVATE KEY----- diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index 9e704a8f..b3ba0088 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -4,6 +4,9 @@ const { spawn } = require('child_process'); const path = require('path'); const fs = require('fs'); const https = require('https'); +const multer = require('multer'); +const upload = multer({ dest: '/tmp' }); // Dossier temporaire + const app = express(); const PORT = 5000; @@ -12,13 +15,15 @@ app.use(cors()); app.use(express.json()); // Helper function to execute a shell command with real-time output -function runCommandLive(command, args, cwd) { +function runCommandLive(command, args, cwd, extractHydraDir = false) { console.log(`\n[COMMAND] ${command} ${args.join(' ')}\n`); + let output = ''; return new Promise((resolve, reject) => { const proc = spawn(command, args, { cwd, shell: true }); proc.stdout.on('data', (data) => { process.stdout.write(`[stdout] ${data}`); + output += data.toString(); }); proc.stderr.on('data', (data) => { @@ -27,8 +32,14 @@ function runCommandLive(command, args, cwd) { proc.on('close', (code) => { if (code === 0) { - console.log(` Command completed: ${command}`); - resolve(); + if (extractHydraDir) { + // Recherche du chemin Hydra uniquement si demandé + const match = output.match(/Files saved to : (.*)/); + const hydraOutputDir = match && match[1] ? match[1].trim() : null; + resolve(hydraOutputDir); + } else { + resolve(); // classique : rien à retourner + } } else { reject(new Error(`Command failed with exit code ${code}`)); } @@ -36,23 +47,32 @@ function runCommandLive(command, args, cwd) { }); } + app.post('/run-demo', async (req, res) => { try { console.log("[SERVER] /run-demo endpoint hit"); - const repoRoot = path.join(__dirname, '..'); + const repoRoot = path.resolve(__dirname) + + const { psfName } = req.body; + const baseDir = '/home/pi3/LenslessPiCam-Imane/Psf'; + const userDir = path.join(baseDir, psfName); - // 1. Create test_psf directory - await runCommandLive('mkdir', ['-p', 'test_psf'], repoRoot); + // Create directory if it does not exist + if (!fs.existsSync(userDir)) { + fs.mkdirSync(userDir, { recursive: true }); + } +; - // 2. Run on-device capture + + // 1. Run on-device capture await runCommandLive( - path.join(repoRoot, '/home/pi3/LenslessPiCam/lensless_env/bin/python'), + '/home/pi3/LenslessPiCam/lensless_env/bin/python', [ 'scripts/measure/on_device_capture.py', 'sensor=rpi_hq', 'bayer=True', - 'fn=test_psf/raw_data', + 'fn=capture', 'exp=1', 'iso=100', 'config_pause=2', @@ -62,45 +82,39 @@ app.post('/run-demo', async (req, res) => { 'rgb=False', 'gray=False', 'sixteen=True', - 'down=4' ], - repoRoot + '/home/pi3/LenslessPiCam-Imane' ); - // 3. Run color correction - await runCommandLive( - path.join(repoRoot, '/home/pi3/LenslessPiCam/lensless_env/bin/python'), - [ - 'scripts/measure/analyze_image.py', - '--fp', 'test_psf/raw_data.png', - '--bayer', - '--gamma', '2.2', - '--rg', '2.0', - '--bg', '1.1', - '--save', 'test_psf/psf_rgb.png' - ], - repoRoot - ); + await runCommandLive('mv', [ + 'capture.png', + `Psf/${psfName}/raw_data.png` + ], '/home/pi3/LenslessPiCam-Imane'); + console.log("File moved"); - // 4. Run autocorrelation + // 2. Run color correction & autocorrelation await runCommandLive( - path.join(repoRoot, '/home/pi3/LenslessPiCam/lensless_env/bin/python'), + '/home/pi3/LenslessPiCam/lensless_env/bin/python', [ 'scripts/measure/analyze_image.py', - '--fp', 'test_psf/raw_data.png', + '--fp', `../LenslessPiCam-Imane/Psf/${psfName}/raw_data.png`, '--bayer', '--gamma', '2.2', '--rg', '2.0', '--bg', '1.1', - '--lensless' + '--lensless', + '--down', '2', + '--save', `Psf/${psfName}/psf_rgb.png`, + '--save_auto' ], - repoRoot + '/home/pi3/LenslessPiCam-Imane' ); - // 5. Read images and respond - const psfBuffer = fs.readFileSync(path.join(repoRoot, 'test_psf/psf_rgb.png')); - const autocorrBuffer = fs.readFileSync(path.join(repoRoot, 'psf_1mm/autocorr.png')); + // 5. Read images and respond + console.log('PSF PATH:', path.resolve(__dirname, '../../Psf', psfName, 'psf_rgb.png')); + const psfBuffer = fs.readFileSync(path.resolve(__dirname, '../../Psf', psfName, 'psf_rgb_8bit.png')); + const autocorrBuffer = fs.readFileSync(path.resolve(__dirname, '../../Psf', psfName, 'autocorrelation.png')); res.json({ psf: psfBuffer.toString('base64'), autocorr: autocorrBuffer.toString('base64') @@ -112,6 +126,323 @@ app.post('/run-demo', async (req, res) => { } }); + app.post('/run-full-imaging', upload.single('image'), async (req, res) => { + try { + const { psfChosen, iterations = 10, algorithm = "ADMM" } = req.body; + const imagePath = req.file.path; + + // 1. Nom de dossier basé sur timestamp (très simple et lisible) + const captureId = Date.now().toString(); + const captureDir = `/home/pi3/LenslessPiCam-Imane/Captures/${captureId}`; + console.log(`[1] Création du dossier de capture : ${captureDir}`); + + // 2. Crée le dossier de la capture + if (!fs.existsSync(captureDir)) { + fs.mkdirSync(captureDir, { recursive: true }); + console.log(`[1] Dossier créé : ${captureDir}`); + } else { + console.log(`[1] Dossier déjà existant : ${captureDir}`); + } + + // 3. Copie l'image uploadée/taken dans ce dossier + console.log(`[2] Copie de l'image uploadée (${imagePath}) dans ${captureDir}/uploaded.png`); + await runCommandLive('cp', [ + imagePath, + `${captureDir}/uploaded.png` + ], '/home/pi3/LenslessPiCam-Imane'); + console.log(`[2] Copie terminée.`); + + // 4. Affiche l'image sur l'écran distant + console.log(`[3] Affichage de l'image sur l'écran distant (remote_display.py)`); + await runCommandLive( + '/home/pi3/LenslessPiCam/lensless_env/bin/python', + [ + 'scripts/measure/remote_display.py', + 'rpi.username=pi3', + 'rpi.hostname=128.179.187.191', + `fp=${captureDir}/uploaded.png`, + "'display.image_res=[900,900]'" + ], + '/home/pi3/LenslessPiCam' + ); + console.log(`[3] Image affichée.`); + + // 5. Capture la photo via la caméra du Pi + console.log(`[4] Capture via la caméra du Pi (on_device_capture.py)`); + await runCommandLive( + '/home/pi3/LenslessPiCam/lensless_env/bin/python', + [ + 'scripts/measure/on_device_capture.py', + 'sensor=rpi_hq', + 'bayer=True', + 'fn=capture', + 'exp=1', + 'iso=100', + 'config_pause=2', + 'sensor_mode=0', + 'nbits_out=12', + 'legacy=True', + 'rgb=False', + 'gray=False', + 'sixteen=True', + ], + '/home/pi3/LenslessPiCam-Imane' + ); + console.log(`[4] Capture terminée.`); + + // 6. Déplace la capture (raw) dans le dossier + console.log(`[5] Déplacement de la capture (raw_data.png)`); + await runCommandLive('mv', [ + 'capture.png', + `${captureDir}/raw_data.png` + ], '/home/pi3/LenslessPiCam-Imane'); + console.log(`[5] Déplacement terminé.`); + + // 7. Color-correct + const colorCorrectedPath = `${captureDir}/data_rgb.png`; + console.log(`[6] Correction couleur (analyze_image.py)`); + await runCommandLive( + '/home/pi3/LenslessPiCam/lensless_env/bin/python', + [ + 'scripts/measure/analyze_image.py', + '--fp', `${captureDir}/raw_data.png`, + '--bayer', + '--gamma', '2.2', + '--rg', '2.0', + '--bg', '1.1', + '--save', colorCorrectedPath + ], + '/home/pi3/LenslessPiCam-Imane' + ); + console.log(`[6] Correction couleur terminée.`); + + // 8. Reconstruction ADMM + const reconPath = `${captureDir}/reconstruction.png`; + const psfPath = `/home/pi3/LenslessPiCam-Imane/Psf/${psfChosen}/psf_rgb.png`; + console.log(`[7] Reconstruction ADMM avec PSF : ${psfPath}`); + let reconScript, reconArgs; + if (algorithm === "Gradient Descent") { + reconScript = 'scripts/recon/gradient_descent.py'; + reconArgs = [ + `input.data=${colorCorrectedPath}`, + `input.psf=${psfPath}`, + `gradient_descent.n_iter=${iterations}` + ]; + } else { + reconScript = 'scripts/recon/admm.py'; + reconArgs = [ + `input.data=${colorCorrectedPath}`, + `input.psf=${psfPath}`, + `admm.n_iter=${iterations}`, + `preprocess.downsample=8`, + `display.plot=true` + ]; + } + + const hydraOutputDir = await runCommandLive( + '/home/pi3/LenslessPiCam/lensless_env/bin/python', + [reconScript, ...reconArgs], + '/home/pi3/LenslessPiCam-Imane', + true + ); + + console.log(`[7] Reconstruction ADMM terminée.`); + if (hydraOutputDir) { + const reconSrc = path.join(hydraOutputDir, `${iterations}.png`); + await runCommandLive('mv', [reconSrc, reconPath], '/home/pi3/LenslessPiCam-Imane'); + } else { + throw new Error('No Hydra output directory detected!'); + } + // 9. Lis les images pour le frontend + console.log(`[8] Lecture des images pour le frontend`); + const imgCapture = fs.readFileSync(path.join(captureDir, 'data_rgb_8bit.png')); + const imgRecon = fs.readFileSync(reconPath); + console.log(`[8] Envoi des résultats au frontend 🎉`); + + res.json({ + imgCapture: imgCapture.toString('base64'), + imgRecon: imgRecon.toString('base64'), + captureId: captureId + }); + + } catch (err) { + console.error("[SERVER] Error in /run-full-imaging", err); + res.status(500).send({ error: 'Imaging workflow failed', details: err.toString() }); + } + }); + + app.post('/upload-photo', upload.single('photo'), async (req, res) => { + try { + const photoPath = path.join('/home/pi3/LenslessPiCam-Imane/PhoneUploads', 'latest.jpg'); + await runCommandLive('mv', [req.file.path, photoPath], '.'); + console.log(`[BACKEND] Received and stored photo at: ${photoPath}`); + res.send({ status: 'ok' }); + } catch (err) { + console.error('[SERVER] Error in /upload-photo:', err); + res.status(500).send({ error: 'Failed to upload photo' }); + } + }); + + app.get('/latest-photo', (req, res) => { + const filePath = '/home/pi3/LenslessPiCam-Imane/PhoneUploads/latest.jpg'; + if (!fs.existsSync(filePath)) { + return res.status(404).send("No photo uploaded yet."); + } + res.sendFile(filePath); + }); + + + app.post('/rerun-reconstruction', async (req, res) => { + const { captureId, psfName, iterations, algorithm = "ADMM" } = req.body; + + if (!captureId || !psfName || !iterations) { + return res.status(400).json({ error: "Missing parameters" }); + } + + const captureDir = path.join('/home/pi3/LenslessPiCam-Imane/Captures', captureId); + const psfPath = path.join('/home/pi3/LenslessPiCam-Imane/Psf', psfName, 'psf_rgb.png'); + const colorCorrectedPath = path.join(captureDir, 'data_rgb.png'); + const reconPath = path.join(captureDir, 'reconstruction.png'); + + try { + if (!fs.existsSync(colorCorrectedPath) || !fs.existsSync(psfPath)) { + return res.status(404).json({ error: "Required files not found" }); + } + + let reconScript, reconArgs; + if (algorithm === "Gradient Descent") { + reconScript = 'scripts/recon/gradient_descent.py'; + reconArgs = [ + `input.data=${colorCorrectedPath}`, + `input.psf=${psfPath}`, + `gradient_descent.n_iter=${iterations}` + ]; + } else { + reconScript = 'scripts/recon/admm.py'; + reconArgs = [ + `input.data=${colorCorrectedPath}`, + `input.psf=${psfPath}`, + `admm.n_iter=${iterations}`, + `preprocess.downsample=8`, + `display.plot=true` + ]; + } + + const hydraOutputDir = await runCommandLive( + '/home/pi3/LenslessPiCam/lensless_env/bin/python', + [reconScript, ...reconArgs], + '/home/pi3/LenslessPiCam-Imane', + true + ); + + + if (!hydraOutputDir) { + return res.status(500).json({ error: "No Hydra output directory found" }); + } + + const newReconPath = path.join(hydraOutputDir, `${iterations}.png`); + await runCommandLive('mv', [newReconPath, reconPath], '/home/pi3/LenslessPiCam-Imane'); + + const reconBuffer = fs.readFileSync(reconPath); + res.json({ recon: reconBuffer.toString('base64') }); + + } catch (err) { + console.error("[SERVER] Error in /rerun-reconstruction", err); + res.status(500).send({ error: "Reconstruction failed", details: err.toString() }); + } + }); + + + // Endpoint to list available PSFs (directories inside /Psf) + app.get('/list-psfs', (req, res) => { + const baseDir = '/home/pi3/LenslessPiCam-Imane/Psf'; + fs.readdir(baseDir, { withFileTypes: true }, (err, files) => { + if (err) { + console.error("[SERVER] Error listing PSFs:", err); + return res.status(500).json({ error: 'Could not read PSF directory' }); + } + // Filter for directories only + const psfList = files.filter(f => f.isDirectory()).map(f => f.name); + res.json({ psfs: psfList }); + }); + }); + + app.get('/load-psf/:psfname', (req, res) => { + const psfName = req.params.psfname; + const psfDir = path.join('/home/pi3/LenslessPiCam-Imane/Psf', psfName); + + const psfPath = path.join(psfDir, 'psf_rgb.png'); + const autocorrPath = path.join(psfDir, 'autocorrelation.png'); + + if (!fs.existsSync(psfPath) || !fs.existsSync(autocorrPath)) { + return res.status(404).json({ error: 'PSF or autocorrelation image not found' }); + } + + const psfBuffer = fs.readFileSync(path.join(psfDir, 'psf_rgb_8bit.png')); + const autocorrBuffer = fs.readFileSync(autocorrPath); + + res.json({ + psf: psfBuffer.toString('base64'), + autocorr: autocorrBuffer.toString('base64'), + }); + }); + + + const archiver = require('archiver'); // ← if not yet added at the top + + app.get('/download-psf-zip/:psfname', (req, res) => { + const psfName = req.params.psfname; + console.log(`[BACKEND] Requested PSF ZIP: ${psfName}`); + const psfDir = path.join('/home/pi3/LenslessPiCam-Imane/Psf', psfName); + + if (!fs.existsSync(psfDir)) { + return res.status(404).send('PSF not found'); + } + + const zipName = `${psfName}_psf.zip`; + res.setHeader('Content-Disposition', `attachment; filename=${zipName}`); + res.setHeader('Content-Type', 'application/zip'); + + const archive = archiver('zip', { zlib: { level: 9 } }); + archive.pipe(res); + + ['psf_rgb_8bit.png', 'autocorrelation.png'].forEach(file => { + const fullPath = path.join(psfDir, file); + if (fs.existsSync(fullPath)) { + archive.file(fullPath, { name: file }); + } + }); + + archive.finalize(); + }); + + app.get('/download-capture-zip/:captureId', (req, res) => { + const captureId = req.params.captureId; + const captureDir = path.join('/home/pi3/LenslessPiCam-Imane/Captures', captureId); + + if (!fs.existsSync(captureDir)) { + return res.status(404).send("Capture folder not found."); + } + + const zipName = `capture_${captureId}.zip`; + res.setHeader('Content-Disposition', `attachment; filename=${zipName}`); + res.setHeader('Content-Type', 'application/zip'); + + const archive = archiver('zip', { zlib: { level: 9 } }); + archive.pipe(res); + + ['data_rgb_8bit.png', 'reconstruction.png'].forEach(file => { + const filePath = path.join(captureDir, file); + if (fs.existsSync(filePath)) { + archive.file(filePath, { name: file }); + } + }); + + archive.finalize(); +}); + + + // HTTPS server const key = fs.readFileSync(path.join(__dirname, '../certs/key.pem')); const cert = fs.readFileSync(path.join(__dirname, '../certs/cert.pem')); diff --git a/lenslesswebapp/src/DemoPage.tsx b/lenslesswebapp/src/DemoPage.tsx index 584da18e..4c189d12 100644 --- a/lenslesswebapp/src/DemoPage.tsx +++ b/lenslesswebapp/src/DemoPage.tsx @@ -1,6 +1,26 @@ import { useState, useRef, useEffect } from "react"; import { Link } from "react-router-dom"; + +const downloadImagingZip = async (captureId) => { + try { + const response = await fetch(`https://128.179.187.191:5000/download-capture-zip/${captureId}`); + if (!response.ok) throw new Error("Failed to fetch ZIP"); + + const blob = await response.blob(); + const link = document.createElement('a'); + link.href = URL.createObjectURL(blob); + link.download = `capture_${captureId}.zip`; + document.body.appendChild(link); + link.click(); + document.body.removeChild(link); + URL.revokeObjectURL(link.href); // cleanup + } catch (err) { + console.error("Imaging ZIP download failed:", err); + alert("Download failed"); + } +}; + export default function Demo() { const [selectedFile, setSelectedFile] = useState(null); const [imagePreview, setImagePreview] = useState(null); @@ -10,6 +30,20 @@ export default function Demo() { const [psfName, setPsfName] = useState(""); const [algorithm, setAlgorithm] = useState("ADMM"); const [iterations, setIterations] = useState(10); + const [psfList, setPsfList] = useState([]); + const [selectedPsf, setSelectedPsf] = useState(""); + const [rawLenslessImage, setRawLenslessImage] = useState(null); + const [reconImage, setReconImage] = useState(null); + const [enlargedImage, setEnlargedImage] = useState(null); + const [psfStatus, setPsfStatus] = useState(""); + const [imagingStatus, setImagingStatus] = useState(""); + const [showPsfDropdown, setShowPsfDropdown] = useState(false); + const [showIterationModal, setShowIterationModal] = useState(false); + const [newIterations, setNewIterations] = useState(iterations); + const [useAutoExposure, setUseAutoExposure] = useState(true); + const [manualExposure, setManualExposure] = useState(1); // default to 1s + const [showAlgorithmModal, setShowAlgorithmModal] = useState(false); + const [newAlgorithm, setNewAlgorithm] = useState(algorithm); const fileInputRef = useRef(null); const videoRef = useRef(null); @@ -27,6 +61,16 @@ export default function Demo() { } }, [showCamera]); + useEffect(() => { + fetch('https://128.179.187.191:5000/list-psfs') + .then(res => res.json()) + .then(data => setPsfList(data.psfs || [])) + .catch(err => { + setPsfList([]); + console.error('Could not load PSF list:', err); + }); +}, []); + const handleFileChange = (e) => { const file = e.target.files[0]; setSelectedFile(file); @@ -49,24 +93,107 @@ export default function Demo() { const handleRunCapture = () => { setShowPSFModal(false); + + setPsfStatus("Capturing PSF image..."); + fetch('https://128.179.187.191:5000/run-demo', { method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ psfName: psfName.trim() }), }) - .then((res) => res.json()) + .then((res) => { + setPsfStatus("Color correcting & computing autocorrelation..."); + return res.json(); + }) .then((data) => { setPsfImage(`data:image/png;base64,${data.psf}`); setAutocorrImage(`data:image/png;base64,${data.autocorr}`); + setPsfStatus("Done."); + setTimeout(() => setPsfStatus(""), 3000); // nettoie après 3s }) .catch((err) => { + setPsfStatus("Error during PSF capture."); console.error('Demo run failed:', err); }); }; - const handleRunImaging = () => { - alert(`Running ${algorithm} for ${iterations} iterations`); - setShowImagingModal(false); + + + + const handleRunImaging = async () => { + if (!selectedFile) { + alert("Please upload or capture an image!"); + return; + } + if (!selectedPsf) { + alert("Please select a PSF!"); + return; + } + + const formData = new FormData(); + formData.append('iterations', iterations); + formData.append('psfChosen', selectedPsf); + formData.append('image', selectedFile); + //formData.append('exp', useAutoExposure ? 'auto' : manualExposure); + formData.append('algorithm', algorithm); + try { + setShowImagingModal(false); + setImagingStatus("Uploading and displaying image..."); + const response = await fetch('https://128.179.187.191:5000/run-full-imaging', { + method: 'POST', + body: formData, + }); + + if (!response.ok) throw new Error("Request failed"); + setImagingStatus("Capturing from camera, please wait..."); + const data = await response.json(); + setRawLenslessImage(`data:image/png;base64,${data.imgCapture}`); + setReconImage(`data:image/png;base64,${data.imgRecon}`); + sessionStorage.setItem("latestCaptureId", data.captureId); // ✅ Store capture ID + setImagingStatus("✅ Imaging complete."); + } catch (err) { + setImagingStatus("❌ Imaging failed."); + console.error(err); + } }; + const handleRerunReconstruction = async () => { + const captureId = sessionStorage.getItem("latestCaptureId"); + if (!captureId || !selectedPsf) { + alert("Missing capture ID or PSF."); + return; + } + setShowIterationModal(false); + try { + setImagingStatus(`Rerunning with ${newIterations} iterations...`); + + const res = await fetch("https://128.179.187.191:5000/rerun-reconstruction", { + method: "POST", + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ + captureId, + psfName: selectedPsf, + iterations: newIterations, + algorithm + }) + }); + + if (!res.ok) throw new Error("Reconstruction failed"); + + const data = await res.json(); + setReconImage(`data:image/png;base64,${data.recon}`); + setImagingStatus("✅ Reconstruction updated."); + setIterations(newIterations); // update main iteration value + setShowIterationModal(false); + } catch (err) { + setImagingStatus("❌ Reconstruction failed."); + console.error(err); + } + }; + + + + const triggerUpload = () => { fileInputRef.current.click(); }; @@ -84,24 +211,59 @@ export default function Demo() { }; const takeSnapshot = () => { - const video = videoRef.current; - const canvas = canvasRef.current; - if (!video || !canvas) { - console.error("Video or canvas not available for snapshot."); - return; - } - const context = canvas.getContext("2d"); - canvas.width = video.videoWidth; - canvas.height = video.videoHeight; - context.drawImage(video, 0, 0, canvas.width, canvas.height); - const dataURL = canvas.toDataURL("image/png"); - setImagePreview(dataURL); - setShowCamera(false); - - if (video.srcObject) { - video.srcObject.getTracks().forEach((track) => track.stop()); - } - }; + const video = videoRef.current; + const canvas = canvasRef.current; + if (!video || !canvas) { + console.error("Video or canvas not available for snapshot."); + return; + } + const context = canvas.getContext("2d"); + canvas.width = video.videoWidth; + canvas.height = video.videoHeight; + context.drawImage(video, 0, 0, canvas.width, canvas.height); + const dataURL = canvas.toDataURL("image/png"); + setImagePreview(dataURL); + setShowCamera(false); + + // ✅ Convert dataURL to File and set selectedFile + fetch(dataURL) + .then(res => res.blob()) + .then(blob => { + const file = new File([blob], "captured.png", { type: "image/png" }); + setSelectedFile(file); + }); + + // ✅ Stop the webcam + if (video.srcObject) { + video.srcObject.getTracks().forEach((track) => track.stop()); + } + }; + + const handleRetrieveFromBackend = async () => { + try { + const res = await fetch('https://128.179.187.191:5000/latest-photo'); + if (!res.ok) throw new Error("Failed to retrieve photo"); + + const blob = await res.blob(); + const file = new File([blob], "phone_capture.png", { type: "image/png" }); + setSelectedFile(file); + + const reader = new FileReader(); + reader.onloadend = () => { + setImagePreview(reader.result); + }; + reader.readAsDataURL(file); + + setShowCamera(false); // just in case camera was active + } catch (err) { + alert("Could not retrieve selfie from phone."); + console.error(err); + } + }; + + + + return (
@@ -122,45 +284,260 @@ export default function Demo() {

PSF Calibration

+ {psfStatus && ( +

{psfStatus}

+ )} + Link to tutorial for setting / placing PSF box

- - + + + + {showPsfDropdown && ( + + )}
-
-
- {psfImage ? ( - PSF +
+ {/* PSF */} +
+ {!psfImage ? ( +
+ PSF +
) : ( - PSF + PSF setEnlargedImage(psfImage)} + style={{ + cursor: 'zoom-in', + maxWidth: 500, + maxHeight: 500, + width: "100%", + borderRadius: "1.5rem", + boxShadow: "0 4px 24px #0008", + background: "transparent", + border: "2px solid #00ff99", + padding: "0.75rem" + }} + /> )}
-
- {autocorrImage ? ( - Autocorrelation + + {/* Autocorrelation */} +
+ {!autocorrImage ? ( +
+ Autocorrelation +
) : ( - Autocorrelations + Autocorrelation setEnlargedImage(autocorrImage)} + style={{ + cursor: 'zoom-in', + maxWidth: 500, + maxHeight: 500, + width: "100%", + borderRadius: "1.5rem", + boxShadow: "0 4px 24px #0008", + background: "transparent", + border: "2px solid #00ff99", + padding: "0.75rem" + }} + /> )}
+
-

Imaging

-

- Dropdown menu of different PSFs available on the Raspberry Pi (first time use → no PSF available) -

- +

Lensless Imaging

+ {imagingStatus && ( +

+ {imagingStatus} +

+ )}
+ - +
-
-
Raw Lensless
-
Reconstruction
+
+ {/* Raw Lensless */} +
+ {!rawLenslessImage ? ( +
+ Raw Lensless +
+ ) : ( + Raw Lensless setEnlargedImage(rawLenslessImage)} + style={{ + cursor: 'zoom-in', + maxWidth: 500, + maxHeight: 500, + width: "100%", + borderRadius: "1.5rem", + boxShadow: "0 4px 24px #0008", + background: "transparent", + border: "2px solid #00ff99", + padding: "0.75rem" + }} + /> + )} +
+ + {/* Reconstruction */} +
+ {!reconImage ? ( +
+ Reconstruction +
+ ) : ( + Reconstruction setEnlargedImage(reconImage)} + style={{ + cursor: 'zoom-in', + maxWidth: 500, + maxHeight: 500, + width: "100%", + borderRadius: "1.5rem", + boxShadow: "0 4px 24px #0008", + background: "transparent", + border: "2px solid #00ff99", + padding: "0.75rem" + }} + /> + )} +
+ {rawLenslessImage && reconImage && ( +
+ + + +
+ )} + {imagePreview && (
@@ -175,8 +552,80 @@ export default function Demo() {

Name your PSF

+

+ Please include diameter, e.g. psf_1mm +

setPsfName(e.target.value)} placeholder="Enter PSF name" className="w-full px-4 py-2 rounded text-black mb-4" /> - +
+ + +
+
+
+ )} + + {showAlgorithmModal && ( +
+
+

Change Algorithm

+
+ + +
+
+ + +
)} @@ -185,24 +634,124 @@ export default function Demo() {

Taking a Picture

-
- - or - - +
+ + + {!selectedPsf &&

Please select a PSF above.

} +
+ + +
+ + +

Algorithm parameters

+
+ + +
+ + {!useAutoExposure && ( +
+ + setManualExposure(Number(e.target.value))} + className="w-full px-3 py-1 rounded text-black" + /> +
+ )}
- setIterations(e.target.value)} className="w-full" /> - + setIterations(Number(e.target.value))} className="w-full" /> + + + +
)} + {showIterationModal && ( +
+
+

Change Iterations

+ setNewIterations(Number(e.target.value))} + className="w-full px-4 py-2 mb-4 rounded text-black" + /> +
+ + +
+
+
+ )} + + {showCamera && (
@@ -218,6 +767,31 @@ export default function Demo() {
)} + {enlargedImage && ( +
setEnlargedImage(null)} + > +
e.stopPropagation()} + > + + Enlarged +
+
+ )} +
); } diff --git a/lenslesswebapp/src/PhoneCapturePage.tsx b/lenslesswebapp/src/PhoneCapturePage.tsx new file mode 100644 index 00000000..ccb5d3cc --- /dev/null +++ b/lenslesswebapp/src/PhoneCapturePage.tsx @@ -0,0 +1,99 @@ +// src/PhoneCapturePage.tsx +import { useEffect, useRef, useState } from 'react'; +import { useNavigate } from 'react-router-dom'; + +export default function PhoneCapturePage() { + const videoRef = useRef(null); + const canvasRef = useRef(null); + const streamRef = useRef(null); + const [status, setStatus] = useState(''); + const navigate = useNavigate(); + + useEffect(() => { + async function initCamera() { + try { + const stream = await navigator.mediaDevices.getUserMedia({ video: true }); + streamRef.current = stream; + if (videoRef.current) { + videoRef.current.srcObject = stream; + await videoRef.current.play(); + } + } catch (err) { + console.error("Camera access failed", err); + setStatus("Camera access denied."); + } + } + initCamera(); + + return () => { + if (streamRef.current) { + streamRef.current.getTracks().forEach((track) => track.stop()); + } + }; + }, []); + + const handleCaptureAndUpload = async () => { + const video = videoRef.current; + const canvas = canvasRef.current; + + if (!video || !canvas) return; + + const ctx = canvas.getContext('2d'); + canvas.width = video.videoWidth; + canvas.height = video.videoHeight; + ctx?.drawImage(video, 0, 0, canvas.width, canvas.height); + + const dataUrl = canvas.toDataURL('image/png'); + const blob = await (await fetch(dataUrl)).blob(); + const file = new File([blob], 'selfie.png', { type: 'image/png' }); + + const formData = new FormData(); + formData.append('photo', file); + + try { + setStatus("Uploading..."); + const res = await fetch('https://128.179.187.191:5000/upload-photo', { + method: 'POST', + body: formData, + }); + if (!res.ok) throw new Error("Upload failed"); + setStatus("✅ Uploaded successfully"); + setTimeout(() => navigate('/demo'), 2000); + } catch (err) { + console.error(err); + setStatus("❌ Upload failed"); + } + }; + + return ( +
+

Take a Selfie for Lensless Imaging

+
+ ); +} diff --git a/lenslesswebapp/src/main.tsx b/lenslesswebapp/src/main.tsx index 05bb2a0a..854af990 100644 --- a/lenslesswebapp/src/main.tsx +++ b/lenslesswebapp/src/main.tsx @@ -4,6 +4,7 @@ import { BrowserRouter, Routes, Route } from 'react-router-dom' import App from './App.tsx' import ProductPage from './ProductPage.tsx' import DemoPage from './DemoPage.tsx' +import PhoneCapturePage from './PhoneCapturePage.tsx'; import './index.css' @@ -14,6 +15,7 @@ ReactDOM.createRoot(document.getElementById('root')!).render( } /> } /> } /> + } /> diff --git a/scripts/measure/analyze_image.py b/scripts/measure/analyze_image.py index a3ed1d95..fa5e92ac 100644 --- a/scripts/measure/analyze_image.py +++ b/scripts/measure/analyze_image.py @@ -100,18 +100,31 @@ type=str, help="File name to save color correct bayer as RGB.", ) +@click.option( + "--save_auto", + is_flag=True, + help="Save autocorrelation instead of pop-up window.", +) @click.option( "--nbits", default=None, type=int, help="Number of bits for output. Only used for Bayer data", ) +@click.option( + "--down", + default=1, + type=int, + help="Factor by which to downsample.", +) @click.option( "--back", type=str, help="File path for background image, e.g. for screen.", ) -def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, save, nbits, back): +def analyze_image( + fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, save, save_auto, nbits, down, back +): assert fp is not None, "Must pass file path." # initialize plotting axis @@ -120,70 +133,32 @@ def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, s fig_gray, ax_gray = plt.subplots(ncols=3, nrows=1, num="Grayscale", figsize=(15, 5)) else: fig_gray, ax_gray = plt.subplots(ncols=2, nrows=1, num="Grayscale", figsize=(15, 5)) - # Auto white balance loop (always on for Bayer + save) - if bayer and save is not None: - print(" Starting automatic red/blue gain tuning...") - rg = rg or 1.0 - bg = bg or 1.0 - max_iter = 10 - - for i in range(max_iter): - #print(f"\n Iteration {i+1}: rg={rg:.3f}, bg={bg:.3f}") - - img = load_image( - fp, - verbose=True, - bayer=bayer, - blue_gain=bg, - red_gain=rg, - nbits_out=nbits, - back=back, - ) - - if nbits is None: - nbits = int(np.ceil(np.log2(img.max()))) - - done, (r, g, b), (err_r, err_b) = check_balance(img) - #print(f" Channel means — R: {r:.1f}, G: {g:.1f}, B: {b:.1f}") - #print(f" Errors — R: {err_r:.3f}, B: {err_b:.3f}") - - if done: - print(" White balance converged.") - break - - if r > 0: - rg *= g / r - if b > 0: - bg *= g / b - - print(f" Final gains: rg={rg:.3f}, bg={bg:.3f}") + # load PSF/image + if lensless: + img = load_psf( + fp, + verbose=True, + bayer=bayer, + blue_gain=bg, + red_gain=rg, + nbits_out=nbits, + return_float=False, + downsample=down, + )[0] else: - # load PSF/image - if lensless: - img = load_psf( - fp, - verbose=True, - bayer=bayer, - blue_gain=bg, - red_gain=rg, - nbits_out=nbits, - return_float=False, - )[0] - else: - img = load_image( - fp, - verbose=True, - bayer=bayer, - blue_gain=bg, - red_gain=rg, - nbits_out=nbits, - back=back, - ) - - if nbits is None: - nbits = int(np.ceil(np.log2(img.max()))) - + img = load_image( + fp, + verbose=True, + bayer=bayer, + blue_gain=bg, + red_gain=rg, + nbits_out=nbits, + back=back, + downsample=down, + ) + if nbits is None: + nbits = int(np.ceil(np.log2(img.max()))) # plot RGB and grayscale ax = plot_image(img, gamma=gamma, normalize=True, ax=ax_rgb[0]) ax.set_title("RGB") @@ -206,8 +181,9 @@ def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, s plot_cross_section( img_grey, color="gray", plot_db_drop=width, ax=ax_gray[2], plot_width=plot_width ) - _, ax_cross = plt.subplots(ncols=3, nrows=1, num="RGB widths", figsize=(15, 5)) + fig_auto, ax_cross = plt.subplots(ncols=3, nrows=1, num="RGB widths", figsize=(15, 5)) for i, c in enumerate(["r", "g", "b"]): + print(f"-- {c} channel") ax, _ = plot_cross_section( img[:, :, i], color=c, @@ -220,18 +196,18 @@ def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, s ax.set_ylabel("") elif lensless: - # plot autocorrelations and width # -- grey - _, ax_auto = plt.subplots(ncols=4, nrows=2, num="Autocorrelations", figsize=(15, 5)) + fig_auto, ax_auto = plt.subplots(ncols=4, nrows=2, num="Autocorrelations", figsize=(15, 5)) _, autocorr_grey = plot_autocorr2d(img_grey, ax=ax_auto[0][0]) + print("-- grayscale") plot_cross_section( autocorr_grey, color="gray", plot_db_drop=width, ax=ax_auto[1][0], plot_width=plot_width ) # -- rgb for i, c in enumerate(["r", "g", "b"]): _, autocorr_c = plot_autocorr2d(img[:, :, i], ax=ax_auto[0][i + 1]) - + print(f"-- {c} channel") ax, _ = plot_cross_section( autocorr_c, color=c, @@ -253,18 +229,13 @@ def analyze_image(fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, s save_image(img, save_8bit, normalize=True) print(f"\n8bit version saved to: {save_8bit}") - plt.show() - -def check_balance(img, threshold=0.05): - """Returns True if R/B are within threshold of G.""" - mean_r = np.mean(img[:, :, 0]) - mean_g = np.mean(img[:, :, 1]) - mean_b = np.mean(img[:, :, 2]) - - err_r = abs(mean_r - mean_g) / mean_g - err_b = abs(mean_b - mean_g) / mean_g + if save_auto: + auto_fp = os.path.join(os.path.dirname(fp), "autocorrelation.png") + fig_auto.savefig(auto_fp) + print(f"\nAutocorrelation saved to: {auto_fp}") + else: + plt.show() - return err_r < threshold and err_b < threshold, (mean_r, mean_g, mean_b), (err_r, err_b) if __name__ == "__main__": analyze_image() diff --git a/scripts/measure/on_device_capture.py b/scripts/measure/on_device_capture.py index 00c8c470..c9427745 100644 --- a/scripts/measure/on_device_capture.py +++ b/scripts/measure/on_device_capture.py @@ -37,7 +37,8 @@ from lensless.hardware.sensor import SensorOptions, sensor_dict, SensorParam from fractions import Fraction import time - +import copy +from lensless.utils.io import load_image SENSOR_MODES = [ "off", @@ -53,7 +54,6 @@ ] -@hydra.main(version_base=None, config_path="../../configs", config_name="capture") def capture(config): sensor = config.sensor @@ -183,78 +183,80 @@ def capture(config): if bayer: camera = picamerax.PiCamera(framerate=1 / exp, sensor_mode=sensor_mode, resolution=res) - - # camera settings, as little processing as possible - camera.iso = iso - camera.shutter_speed = int(exp * 1e6) - camera.exposure_mode = "off" - camera.drc_strength = "off" - camera.image_denoise = False - camera.image_effect = "none" - camera.still_stats = False - - sleep(config_pause) - awb_gains = camera.awb_gains - camera.awb_mode = "off" - camera.awb_gains = awb_gains - - print("Resolution : {}".format(camera.resolution)) - print("Shutter speed : {}".format(camera.shutter_speed)) - print("ISO : {}".format(camera.iso)) - print("Frame rate : {}".format(camera.framerate)) - print("Sensor mode : {}".format(SENSOR_MODES[sensor_mode])) - # keep this as it needs to be parsed from remote script! - red_gain = float(awb_gains[0]) - blue_gain = float(awb_gains[1]) - print("Red gain : {}".format(red_gain)) - print("Blue gain : {}".format(blue_gain)) - - # capture data - stream = picamerax.array.PiBayerArray(camera) - camera.capture(stream, "jpeg", bayer=True) - - # get bayer data - if sixteen: - output = np.sum(stream.array, axis=2).astype(np.uint16) - else: - output = (np.sum(stream.array, axis=2) >> 2).astype(np.uint8) - - # returning non-bayer data - if rgb or gray: + try: + # camera settings, as little processing as possible + camera.iso = iso + camera.shutter_speed = int(exp * 1e6) + camera.exposure_mode = "off" + camera.drc_strength = "off" + camera.image_denoise = False + camera.image_effect = "none" + camera.still_stats = False + + sleep(config_pause) + awb_gains = camera.awb_gains + camera.awb_mode = "off" + camera.awb_gains = awb_gains + + print("Resolution : {}".format(camera.resolution)) + print("Shutter speed : {}".format(camera.shutter_speed)) + print("ISO : {}".format(camera.iso)) + print("Frame rate : {}".format(camera.framerate)) + print("Sensor mode : {}".format(SENSOR_MODES[sensor_mode])) + # keep this as it needs to be parsed from remote script! + red_gain = float(awb_gains[0]) + blue_gain = float(awb_gains[1]) + print("Red gain : {}".format(red_gain)) + print("Blue gain : {}".format(blue_gain)) + + # capture data + stream = picamerax.array.PiBayerArray(camera) + camera.capture(stream, "jpeg", bayer=True) + + # get bayer data if sixteen: - n_bits = 12 # assuming Raspberry Pi HQ + output = np.sum(stream.array, axis=2).astype(np.uint16) else: - n_bits = 8 - - if config.awb_gains is not None: - red_gain = config.awb_gains[0] - blue_gain = config.awb_gains[1] - - output_rgb = bayer2rgb_cc( - output, - nbits=n_bits, - blue_gain=blue_gain, - red_gain=red_gain, - black_level=RPI_HQ_CAMERA_BLACK_LEVEL, - ccm=RPI_HQ_CAMERA_CCM_MATRIX, - nbits_out=nbits_out, - ) - - if down: - output_rgb = resize( - output_rgb[None, ...], 1 / down, interpolation=cv2.INTER_CUBIC - )[0] - - # need OpenCV to save 16-bit RGB image - if gray: - output_gray = rgb2gray(output_rgb[None, ...]) - output_gray = output_gray.astype(output_rgb.dtype).squeeze() - cv2.imwrite(fn, output_gray) + output = (np.sum(stream.array, axis=2) >> 2).astype(np.uint8) + + # returning non-bayer data + if rgb or gray: + if sixteen: + n_bits = 12 # assuming Raspberry Pi HQ + else: + n_bits = 8 + + if config.awb_gains is not None: + red_gain = config.awb_gains[0] + blue_gain = config.awb_gains[1] + + output_rgb = bayer2rgb_cc( + output, + nbits=n_bits, + blue_gain=blue_gain, + red_gain=red_gain, + black_level=RPI_HQ_CAMERA_BLACK_LEVEL, + ccm=RPI_HQ_CAMERA_CCM_MATRIX, + nbits_out=nbits_out, + ) + + if down: + output_rgb = resize( + output_rgb[None, ...], 1 / down, interpolation=cv2.INTER_CUBIC + )[0] + + # need OpenCV to save 16-bit RGB image + if gray: + output_gray = rgb2gray(output_rgb[None, ...]) + output_gray = output_gray.astype(output_rgb.dtype).squeeze() + cv2.imwrite(fn, output_gray) + else: + cv2.imwrite(fn, cv2.cvtColor(output_rgb, cv2.COLOR_RGB2BGR)) else: - cv2.imwrite(fn, cv2.cvtColor(output_rgb, cv2.COLOR_RGB2BGR)) - else: - img = Image.fromarray(output) - img.save(fn) + img = Image.fromarray(output) + img.save(fn) + finally: + camera.close() else: @@ -271,31 +273,93 @@ def capture(config): # -- now set up camera with desired settings camera = PiCamera(framerate=1 / exp, sensor_mode=sensor_mode, resolution=tuple(res)) + try: + # Wait for the automatic gain control to settle + time.sleep(config.config_pause) - # Wait for the automatic gain control to settle - time.sleep(config.config_pause) + if config.awb_gains is not None: + assert len(config.awb_gains) == 2 + g = (Fraction(config.awb_gains[0]), Fraction(config.awb_gains[1])) + g = tuple(g) + camera.awb_mode = "off" + camera.awb_gains = g + time.sleep(0.1) + + print("Capturing at resolution: ", res) + print("AWB gains: ", float(camera.awb_gains[0]), float(camera.awb_gains[1])) + + try: + camera.resolution = tuple(res) + camera.capture(fn) + except ValueError: + raise ValueError( + "Out of resources! Use bayer for higher resolution, or increase `gpu_mem` in `/boot/config.txt`." + ) + finally: + camera.close() + - if config.awb_gains is not None: - assert len(config.awb_gains) == 2 - g = (Fraction(config.awb_gains[0]), Fraction(config.awb_gains[1])) - g = tuple(g) - camera.awb_mode = "off" - camera.awb_gains = g - time.sleep(0.1) + print("Image saved to : {}".format(fn)) - print("Capturing at resolution: ", res) - print("AWB gains: ", float(camera.awb_gains[0]), float(camera.awb_gains[1])) +def auto_expose_locally(config): - try: - camera.resolution = tuple(res) - camera.capture(fn) - except ValueError: - raise ValueError( - "Out of resources! Use bayer for higher resolution, or increase `gpu_mem` in `/boot/config.txt`." - ) + max_iter = 10 + target_max = 4095 if config.nbits_out > 8 else 255 + max_saturation_ratio = 0.001 + exp = config.exp - print("Image saved to : {}".format(fn)) + i = 0 + while i < max_iter: + print(f"\n[Auto Exposure] Attempt {i+1} | exp = {exp:.6f}s") + + # Clone config and update exposure + config_local = copy.deepcopy(config) + config_local.exp = exp + + # Call capture + capture(config_local) + + # Build image path + fn = config.fn + ".png" + + # Load image + img = cv2.imread(fn, cv2.IMREAD_UNCHANGED) + if img is None: + print(f"❌ Failed to load image from {fn}") + break + + # Evaluate brightness + max_val = np.max(img) + sat_ratio = np.sum(img == target_max) / img.size + print(f" Max pixel: {max_val} | Saturated: {sat_ratio*100:.4f}%") + + # Stop if image is well exposed + if max_val >= target_max * 0.99 and sat_ratio <= max_saturation_ratio: + print(f"✅ Good exposure found at exp = {exp:.6f}s") + break + + # Adjust exposure + if max_val >= target_max: + exp *= 0.7 if sat_ratio > max_saturation_ratio else 0.95 + elif max_val >= target_max * 0.93: + exp *= 1.05 + else: + exp *= 1.4 + + # Clamp to hardware limits + min_exp = sensor_dict[config.sensor][SensorParam.MIN_EXPOSURE] + max_exp = sensor_dict[config.sensor][SensorParam.MAX_EXPOSURE] + exp = min(max(exp, min_exp), max_exp) + + i += 1 + + print(f"Final exposure used: {exp:.6f}s") +@hydra.main(version_base=None, config_path="../../configs", config_name="capture") +def main(config): + auto_expose_locally(config) + if __name__ == "__main__": - capture() + main() + From cbb2fd52abe9c9647b79d99a946999f03537f773 Mon Sep 17 00:00:00 2001 From: Eric Bezzam Date: Wed, 11 Jun 2025 20:46:07 +0200 Subject: [PATCH 46/54] changes --- scripts/measure/on_device_capture.py | 5 +- scripts/measure/remote_capture.py | 147 +++++++++++---------------- 2 files changed, 63 insertions(+), 89 deletions(-) diff --git a/scripts/measure/on_device_capture.py b/scripts/measure/on_device_capture.py index c9427745..9ddedabc 100644 --- a/scripts/measure/on_device_capture.py +++ b/scripts/measure/on_device_capture.py @@ -358,7 +358,10 @@ def auto_expose_locally(config): @hydra.main(version_base=None, config_path="../../configs", config_name="capture") def main(config): - auto_expose_locally(config) + if config.auto_exp: + auto_expose_locally(config) + else: + capture(config) if __name__ == "__main__": main() diff --git a/scripts/measure/remote_capture.py b/scripts/measure/remote_capture.py index 9dbe1d1d..a9b0b60c 100644 --- a/scripts/measure/remote_capture.py +++ b/scripts/measure/remote_capture.py @@ -1,8 +1,35 @@ +""" + +For Bayer data with RPI HQ sensor: +``` +python scripts/measure/remote_capture.py \ +rpi.username=USERNAME rpi.hostname=IP_ADDRESS +``` + +For Bayer data with RPI Global shutter sensor: +``` +python scripts/measure/remote_capture.py -cn remote_capture_rpi_gs \ +rpi.username=USERNAME rpi.hostname=IP_ADDRESS +``` + +For RGB data with RPI HQ RPI Global shutter sensor: +``` +python scripts/measure/remote_capture.py -cn remote_capture_rpi_gs \ +rpi.username=USERNAME rpi.hostname=IP_ADDRESS \ +capture.bayer=False capture.down=2 +``` + +Check out the `configs/demo.yaml` file for parameters, specifically: + +- `rpi`: RPi parameters +- `capture`: parameters for taking pictures + +""" + import hydra import os import subprocess import cv2 -import numpy as np from pprint import pprint import matplotlib.pyplot as plt from lensless.hardware.utils import check_username_hostname @@ -52,15 +79,11 @@ def liveview(config): # take picture remote_fn = "remote_capture" - print("\n Running auto-exposure...") - - # 1. Build base command + print("\nTaking picture...") pic_command = ( - f"{config.rpi.python} {config.capture.script} " - f"sensor={sensor} bayer={bayer} fn={remote_fn} exp={config.capture.exp} iso={config.capture.iso} " - f"config_pause={config.capture.config_pause} sensor_mode={config.capture.sensor_mode} " - f"nbits_out={config.capture.nbits_out} legacy={config.capture.legacy} " - f"rgb={config.capture.rgb} gray={config.capture.gray} " + f"{config.rpi.python} {config.capture.script} sensor={sensor} bayer={bayer} fn={remote_fn} exp={config.capture.exp} iso={config.capture.iso} " + f"config_pause={config.capture.config_pause} sensor_mode={config.capture.sensor_mode} nbits_out={config.capture.nbits_out} " + f"legacy={config.capture.legacy} rgb={config.capture.rgb} gray={config.capture.gray} " ) if config.capture.nbits > 8: pic_command += " sixteen=True" @@ -69,24 +92,34 @@ def liveview(config): if config.capture.awb_gains: pic_command += f" awb_gains=[{config.capture.awb_gains[0]},{config.capture.awb_gains[1]}]" - # 2. Define expected output path - output_path = os.path.join(config.output or os.getcwd(), f"{config.capture.raw_data_fn}.png") - - # 3. Run auto-exposure loop - auto_expose_via_remote(config, pic_command, output_path) - - result = auto_expose_via_remote(config, pic_command, output_path) + print(f"COMMAND : {pic_command}") + ssh = subprocess.Popen( + ["ssh", "%s@%s" % (username, hostname), pic_command], + shell=False, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + ) + result = ssh.stdout.readlines() + error = ssh.stderr.readlines() - result = [res.decode("UTF-8") for res in result] - result = [res for res in result if len(res) > 3] - result_dict = dict() - for res in result: - _key = res.split(":")[0].strip() - _val = "".join(res.split(":")[1:]).strip() - result_dict[_key] = _val - # result_dict = dict(map(lambda s: map(str.strip, s.split(":")), result)) - print("COMMAND OUTPUT : ") - pprint(result_dict) + if error != [] and legacy: # new camera software seems to return error even if it works + print("ERROR: %s" % error) + return + if result == []: + error = ssh.stderr.readlines() + print("ERROR: %s" % error) + return + else: + result = [res.decode("UTF-8") for res in result] + result = [res for res in result if len(res) > 3] + result_dict = dict() + for res in result: + _key = res.split(":")[0].strip() + _val = "".join(res.split(":")[1:]).strip() + result_dict[_key] = _val + # result_dict = dict(map(lambda s: map(str.strip, s.split(":")), result)) + print("COMMAND OUTPUT : ") + pprint(result_dict) if ( "RPi distribution" in result_dict.keys() @@ -229,67 +262,5 @@ def liveview(config): print(f"\nSaved plots to: {save}") -# Auto-exposure logic injected before running SSH command - -def auto_expose_via_remote(config, base_command, output_path): - exp = config.capture.exp - max_iter = 10 - target_max = 4095 - max_saturation_ratio = 0.001 - final_img = None - - for i in range(max_iter): - print(f"\n Attempt {i+1} | exp={exp:.6f}s") - - # Inject new exposure into command - pic_command = base_command.replace(f"exp={config.capture.exp}", f"exp={exp}") - - ssh = subprocess.Popen( - ["ssh", f"{config.rpi.username}@{config.rpi.hostname}", pic_command], - shell=False, - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - ) - result = ssh.stdout.readlines() - error = ssh.stderr.readlines() - - if error and config.capture.legacy: - print("ERROR:", error) - break - if not result: - print("ERROR:", error) - break - - # Check image exists - if not os.path.exists(output_path): - print("Output image not found") - break - - img = cv2.imread(output_path, cv2.IMREAD_UNCHANGED) - if img is None: - print("Failed to load captured image") - break - - max_val = int(np.max(img)) - sat_ratio = np.sum(img == 4095) / img.size - print(f"Max: {max_val} | Saturated: {sat_ratio*100:.4f}%") - - if max_val >= target_max and sat_ratio <= max_saturation_ratio: - print(f"✅Ideal exposure found: {exp:.6f}s") - final_result = result - break - - # Adjust exposure - if max_val >= 4095: - exp *= 0.7 if sat_ratio > max_saturation_ratio else 0.95 - elif max_val >= 3800: - exp *= 1.05 - else: - exp *= 1.4 - - return final_result - - - if __name__ == "__main__": liveview() \ No newline at end of file From 7be583b2ede70011e30020c9113ff7cf47bdb2a7 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Sun, 22 Jun 2025 14:30:45 +0200 Subject: [PATCH 47/54] Update README.rst --- README.rst | 377 +++++++++++++++-------------------------------------- 1 file changed, 104 insertions(+), 273 deletions(-) diff --git a/README.rst b/README.rst index b23abf57..e455d409 100644 --- a/README.rst +++ b/README.rst @@ -1,326 +1,157 @@ -============= -LenslessPiCam -============= +Lensless Imaging WebApp +======================== -.. image:: https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white - :target: https://github.com/LCAV/LenslessPiCam - :alt: GitHub page +This web application provides an interactive interface for capturing, calibrating, +and reconstructing lensless images using the Lensless Imaging Development Kit. +It is designed to run on a Raspberry Pi and accessed through a browser on the same network. +No software installation is required on the host machine. -.. image:: https://readthedocs.org/projects/lensless/badge/?version=latest - :target: http://lensless.readthedocs.io/en/latest/ - :alt: Documentation Status +This module is located in the ``lenslesswebapp/`` directory of the main project. -.. image:: https://joss.theoj.org/papers/10.21105/joss.04747/status.svg - :target: https://doi.org/10.21105/joss.04747 - :alt: DOI +Features +-------- -.. image:: https://static.pepy.tech/badge/lensless - :target: https://www.pepy.tech/projects/lensless - :alt: Downloads +- Full lensless imaging pipeline: PSF capture, autocorrelatio plotting, object capture, and image reconstruction +- Optional auto exposure and RGB gain correction +- Remote capture and reconstruction +- Headless access via browser using preconfigured Raspberry Pi image +- No installation required on client machines -.. image:: https://colab.research.google.com/assets/colab-badge.svg - :target: https://lensless.readthedocs.io/en/latest/examples.html - :alt: notebooks -.. image:: https://img.shields.io/badge/Google_Slides-yellow - :target: https://docs.google.com/presentation/d/1PcNhMfjATSwcpbHUMrmc88ciQmheBJ7alz8hel8xnGU/edit?usp=sharing - :alt: slides - -.. image:: https://huggingface.co/datasets/huggingface/badges/resolve/main/powered-by-huggingface-dark.svg - :target: https://huggingface.co/bezzam - :alt: huggingface - - -*A Hardware and Software Toolkit for Lensless Computational Imaging* --------------------------------------------------------------------- - -.. image:: https://github.com/LCAV/LenslessPiCam/raw/main/scripts/recon/example.png - :alt: Lensless imaging example - :align: center - - -This toolkit has everything you need to perform imaging with a lensless camera. -The sensor in most examples is the `Raspberry Pi HQ `__, -camera sensor as it is low cost (around 50 USD) and has a high resolution (12 MP). -The lensless encoder/mask used in most examples is either a piece of tape or a `low-cost LCD `__. -As **modularity** is a key feature of this toolkit, we try to support different sensors and/or lensless encoders. - -The toolkit includes: - -* Training scripts/configuration for various learnable, physics-informed reconstruction approaches, as shown `here `__. -* Camera assembly tutorials (`link `__). -* Measurement scripts (`link `__). -* Dataset preparation and loading tools, with `Hugging Face `__ integration (`slides `__ on uploading a dataset to Hugging Face with `this script `__). -* `Reconstruction algorithms `__ (e.g. FISTA, ADMM, unrolled algorithms, trainable inversion, , multi-Wiener deconvolution network, pre- and post-processors). -* `Pre-trained models `__ that can be loaded from `Hugging Face `__, for example in `this script `__. -* Mask `design `__ and `fabrication `__ tools. -* `Simulation tools `__. -* `Evalutions tools `__ (e.g. PSNR, LPIPS, SSIM, visualizations). -* `Demo `__ that can be run on Telegram! - -Please refer to the `documentation `__ for more details, -while an overview of example notebooks can be found `here `__. - -We've also written a few Medium articles to guide users through the process -of building the camera, measuring data with it, and reconstruction. -They are all laid out in `this post `__. - -Collection of lensless imaging research ---------------------------------------- - -The following works have been implemented in the toolkit: - -Reconstruction algorithms: - -* ADMM with total variation regularization and 3D support (`source code `__, `usage `__). [1]_ -* Unrolled ADMM (`source code `__, `usage `__). [2]_ -* Unrolled ADMM with compensation branch (`source code `__, `usage `__). [3]_ -* Trainable inversion from Flatnet (`source code `__, `usage `__). [4]_ -* Multi-Wiener deconvolution network (`source code `__, `usage `__). [5]_ -* SVDeconvNet (for learning multi-PSF deconvolution) from PhoCoLens (`source code `__, `usage `__). [6]_ -* Incorporating pre-processor (`source code `__). [7]_ -* Accounting for external illumination(`source code 1 `__, `source code 2 `__, `usage `__). [8]_ - -Camera / mask design: - -* Fresnel zone aperture mask pattern (`source code `__). [9]_ -* Coded aperture mask pattern (`source code `__). [10]_ -* Near-field Phase Retrieval for designing a high-contrast phase mask (`source code `__). [11]_ -* LCD-based camera, i.e. DigiCam (`source code `__). [7]_ - -Datasets (hosted on Hugging Face and downloaded via their API): - -* DiffuserCam Lensless MIR Flickr dataset (copy on `Hugging Face `__). [2]_ -* TapeCam MIR Flickr (`Hugging Face `__). [7]_ -* DigiCam MIR Flickr (`Hugging Face `__). [7]_ -* DigiCam MIR Flickr with multiple mask patterns (`Hugging Face `__). [7]_ -* DigiCam CelebA (`Hugging Face `__). [7]_ -* MultiFocal mask MIR Flickr under external illumination (`Hugging Face `__). [8]_ Mask fabricated by [12]_ - - -Setup ------ - -If you are just interested in using the reconstruction algorithms and -plotting / evaluation tools you can install the package via ``pip``: - -.. code:: bash - - pip install lensless - - -For plotting, you may also need to install -`Tk `__. +Project Structure +----------------- +:: -For performing measurements, the expected workflow is to have a local -computer which interfaces remotely with a Raspberry Pi equipped with -the HQ camera sensor (or V2 sensor). Instructions on building the camera -can be found `here `__. + lensless-web-app/ + ├── client/ # Vite-based frontend (React + Tailwind) + ├── server/ # Node.js backend (image processing, control) + ├── public/ # Static assets + ├── captures/ # PSFs and image captures + ├── README.rst # This file -The software from this repository has to be installed on **both** your -local machine and the Raspberry Pi. Note that we recommend using -Python 3.11, as some Python library versions may not be available with -earlier versions of Python. Moreover, its `end-of-life `__ -is Oct 2027. +Demo +---- -*Local machine setup* -===================== +Once the frontend server is running, the local IP address of the Raspberry Pi +and the full URL (e.g., ``http://192.168.1.42:5173``) will be printed in the terminal. -Below are commands that worked for our configuration (Ubuntu 22.04.5 LTS), -but there are certainly other ways to download a repository and -install the library locally. +You must: -Note that ``(lensless)`` is a convention to indicate that the virtual -environment is activated. After activating your virtual environment, you only -have to copy the command after ``(lensless)``. +- SSH into the Raspberry Pi +- Run the frontend (`npm run dev`) +- Copy the printed IP address from the terminal +- Open the browser from another device on the same network -.. code:: bash +The IP address may change depending on your local network configuration. - # download from GitHub - git clone git@github.com:LCAV/LenslessPiCam.git - cd LenslessPiCam +Getting Started +--------------- - # create virtual environment (as of Oct 4 2023, rawpy is not compatible with Python 3.12) - # -- using conda - conda create -n lensless python=3.11 - conda activate lensless +1. Flash and Boot Raspberry Pi - # -- OR venv - python3.11 -m venv lensless_env - source lensless_env/bin/activate +- Use the provided `.img` file to flash your SD card. +- Insert the SD card into the Raspberry Pi and power it up. +- Ensure the Pi is connected to the same local network as your browser device. - # install package - (lensless) pip install -e . +2. Run the Application - # extra dependencies for local machine for plotting/reconstruction - (lensless) pip install -r recon_requirements.txt +Frontend (client) +~~~~~~~~~~~~~~~~~ - # pre-commit hooks for code formatting - (lensless) pip install pre-commit black - (lensless) pre-commit install +Start the frontend development server: - # (optional) try reconstruction on local machine - (lensless) python scripts/recon/admm.py +.. code-block:: bash - # (optional) try reconstruction on local machine with GPU - (lensless) python scripts/recon/admm.py -cn pytorch + cd lenslesswebapp/ + npm install + npm run dev +To keep the frontend running in the background using `screen`: -Note (25-04-2023): for using the :py:class:`~lensless.recon.apgd.APGD` reconstruction method based on Pycsou -(now `Pyxu `__), a specific commit has -to be installed (as there was no release at the time of implementation): +.. code-block:: bash -.. code:: bash + screen -S client + npm run dev - pip install git+https://github.com/matthieumeo/pycsou.git@38e9929c29509d350a7ff12c514e2880fdc99d6e +To detach: press `Ctrl + A`, then `D` +To reattach later: `screen -r client` -If PyTorch is installed, you will need to be sure to have PyTorch 2.0 or higher, -as Pycsou is not compatible with earlier versions of PyTorch. Moreover, -Pycsou requires Python within -`[3.9, 3.11) `__. +Backend (server) +~~~~~~~~~~~~~~~~ -Moreover, ``numba`` (requirement for Pycsou V2) may require an older version of NumPy: +Start the backend server: -.. code:: bash +.. code-block:: bash - pip install numpy==1.23.5 + cd lenslesswebapp + node server/index.cjs -*Raspberry Pi setup* -==================== +To keep the backend running in the background using `screen`: -After `flashing your Raspberry Pi with SSH enabled `__, -you need to set it up for `passwordless access `__. -Do not set a password for your SSH key pair, as this will not work with the -provided scripts. +.. code-block:: bash -On the Raspberry Pi, you can then run the following commands (from the ``home`` -directory): + screen -S server + node server/index.cjs -.. code:: bash +To detach: press `Ctrl + A`, then `D` +To reattach later: `screen -r server` - # dependencies - sudo apt-get install -y libimage-exiftool-perl libatlas-base-dev \ - python3-numpy python3-scipy python3-opencv - sudo pip3 install -U virtualenv +Module Features +--------------- - # download from GitHub - git clone git@github.com:LCAV/LenslessPiCam.git +PSF Capture Block +~~~~~~~~~~~~~~~~~ - # install in virtual environment - cd LenslessPiCam - virtualenv --system-site-packages -p python3 lensless_env - source lensless_env/bin/activate - pip install --no-deps -e . - pip install -r rpi_requirements.txt +This block handles the acquisition and calibration of the Point Spread Function using a known white point light source. - # test on-device camera capture (after setting up the camera) - (lensless_env) python scripts/measure/on_device_capture.py +Acquisition Options +^^^^^^^^^^^^^^^^^^^ -You may still need to manually install ``numpy`` and/or ``scipy`` with ``pip`` in case libraries (e.g. ``libopenblas.so.0``) cannot be detected. - +- Capture a new PSF using the camera interface and plot its autocorrelation +- Load a previously saved PSF from disk with its autocorrelation +- Download a zip of the 2 pictures -Acknowledgements ----------------- +Exposure and Color Correction +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -The idea of building a lensless camera from a Raspberry Pi and a piece of -tape comes from Prof. Laura Waller's group at UC Berkeley. So a huge kudos -to them for the idea and making tools/code/data available! Below is some of -the work that has inspired this toolkit: +- Automatic exposure tuning (`auto_exp_psf`) +- Automatic red and blue gain calibration -* `Build your own DiffuserCam tutorial `__. -* `DiffuserCam Lensless MIR Flickr dataset `__ [2]_. +Visualization Tools +^^^^^^^^^^^^^^^^^^^ -A few students at EPFL have also contributed to this project: +- Autocorrelation plot generated to assess sharpness and quality +- Useful for visually validating PSF quality and compare with others -* Julien Sahli: support and extension of algorithms for 3D. -* Yohann Perron: unrolled algorithms for reconstruction. -* Aaron Fargeon: mask designs. -* Rein Bentdal and David Karoubi: mask fabrication with 3D printing. -* Stefan Peters: imaging under external illumination. +Image Capture & Reconstruction Block +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -We also thank the Swiss National Science Foundation for funding this project through the `Open Research Data (ORD) program `__. +This block allows you to capture scene images and reconstruct them using a selected PSF. -Citing this work ----------------- +Image Input Options +^^^^^^^^^^^^^^^^^^^ -If you use this toolkit in your own research, please cite the following: +- Take a photo directly on your device +- Upload an image from your device +- Upload an image from your phone via the `/phone` page ( PS : to take selfies from your phone and retrieve them to reconstruct them on your computer) -:: +Reconstruction Workflow +^^^^^^^^^^^^^^^^^^^^^^^ - @article{Bezzam2023, - doi = {10.21105/joss.04747}, - url = {https://doi.org/10.21105/joss.04747}, - year = {2023}, - publisher = {The Open Journal}, - volume = {8}, - number = {86}, - pages = {4747}, - author = {Eric Bezzam and Sepand Kashani and Martin Vetterli and Matthieu Simeoni}, - title = {LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi}, - journal = {Journal of Open Source Software} - } +- Select a PSF (from all the captured ones) +- Reconstruct the captured image using that PSF using ADMM or Gradient descent with a selected number of iterations +Display and Feedback +^^^^^^^^^^^^^^^^^^^^ -The following papers have contributed new approaches to the field of lensless imaging: +- View the raw lensless image and its reconstruction side-by-side +- Allows inspection of reconstruction quality in real time and can change number of iterations and the algorithm of reconstruction for comparison -* Introducing pre-processor component as part of modular reconstruction (`IEEE Transactions on Computational Imaging `__ and `IEEE International Conference on Image Processing (ICIP) 2024 `__): -:: - - @ARTICLE{10908470, - author={Bezzam, Eric and Perron, Yohann and Vetterli, Martin}, - journal={IEEE Transactions on Computational Imaging}, - title={Towards Robust and Generalizable Lensless Imaging With Modular Learned Reconstruction}, - year={2025}, - volume={11}, - number={}, - pages={213-227}, - keywords={Training;Wiener filters;Computational modeling;Transfer learning;Computer architecture;Cameras;Transformers;Software;Software measurement;Image reconstruction;Lensless imaging;modularity;robustness;generalizability;programmable mask;transfer learning}, - doi={10.1109/TCI.2025.3539448} - } - - @INPROCEEDINGS{10647433, - author={Perron, Yohann and Bezzam, Eric and Vetterli, Martin}, - booktitle={2024 IEEE International Conference on Image Processing (ICIP)}, - title={A Modular and Robust Physics-Based Approach for Lensless Image Reconstruction}, - year={2024}, - volume={}, - number={}, - pages={3979-3985}, - keywords={Training;Multiplexing;Pipelines;Noise;Cameras;Robustness;Reproducibility of results;Lensless imaging;modular reconstruction;end-to-end optimization}, - doi={10.1109/ICIP51287.2024.10647433} - } - - -* Lensless imaging under external illumination (`IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025 `__): - -:: +Author +------ - @INPROCEEDINGS{10888030, - author={Bezzam, Eric and Peters, Stefan and Vetterli, Martin}, - booktitle={ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, - title={Let There Be Light: Robust Lensless Imaging Under External Illumination With Deep Learning}, - year={2025}, - volume={}, - number={}, - pages={1-5}, - keywords={Source separation;Noise;Lighting;Interference;Reconstruction algorithms;Cameras;Optics;Speech processing;Image reconstruction;Standards;lensless imaging;ambient lighting;external illumination;background subtraction;learned reconstruction}, - doi={10.1109/ICASSP49660.2025.10888030} - } - -References ----------- - -.. [1] Antipa, N., Kuo, G., Heckel, R., Mildenhall, B., Bostan, E., Ng, R., & Waller, L. (2017). DiffuserCam: lensless single-exposure 3D imaging. Optica, 5(1), 1-9. -.. [2] Monakhova, K., Yurtsever, J., Kuo, G., Antipa, N., Yanny, K., & Waller, L. (2019). Learned reconstructions for practical mask-based lensless imaging. Optics express, 27(20), 28075-28090. -.. [3] Zeng, T., & Lam, E. Y. (2021). Robust reconstruction with deep learning to handle model mismatch in lensless imaging. IEEE Transactions on Computational Imaging, 7, 1080-1092. -.. [4] Khan, S. S., Sundar, V., Boominathan, V., Veeraraghavan, A., & Mitra, K. (2020). Flatnet: Towards photorealistic scene reconstruction from lensless measurements. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(4), 1934-1948. -.. [5] Li, Y., Li, Z., Chen, K., Guo, Y., & Rao, C. (2023). MWDNs: reconstruction in multi-scale feature spaces for lensless imaging. Optics Express, 31(23), 39088-39101. -.. [6] Cai, X., You, Z., Zhang, H., Gu, J., Liu, W., & Xue, T. (2024). Phocolens: Photorealistic and consistent reconstruction in lensless imaging. Advances in Neural Information Processing Systems, 37, 12219-12242. -.. [7] Bezzam, E., Perron, Y., & Vetterli, M. (2025). Towards Robust and Generalizable Lensless Imaging with Modular Learned Reconstruction. IEEE Transactions on Computational Imaging. -.. [8] Bezzam, E., Peters, S., & Vetterli, M. (2024). Let there be light: Robust lensless imaging under external illumination with deep learning. IEEE International Conference on Acoustics, Speech and Signal Processing. -.. [9] Wu, J., Zhang, H., Zhang, W., Jin, G., Cao, L., & Barbastathis, G. (2020). Single-shot lensless imaging with fresnel zone aperture and incoherent illumination. Light: Science & Applications, 9(1), 53. -.. [10] Asif, M. S., Ayremlou, A., Sankaranarayanan, A., Veeraraghavan, A., & Baraniuk, R. G. (2016). Flatcam: Thin, lensless cameras using coded aperture and computation. IEEE Transactions on Computational Imaging, 3(3), 384-397. -.. [11] Boominathan, V., Adams, J. K., Robinson, J. T., & Veeraraghavan, A. (2020). Phlatcam: Designed phase-mask based thin lensless camera. IEEE transactions on pattern analysis and machine intelligence, 42(7), 1618-1629. -.. [12] Lee, K. C., Bae, J., Baek, N., Jung, J., Park, W., & Lee, S. A. (2023). Design and single-shot fabrication of lensless cameras with arbitrary point spread functions. Optica, 10(1), 72-80. +Imane Raihane +Semester Project, Spring 2025 +Supervisor: Eric Bezzam (LCAV – EPFL) From 21b96c0ebc5e7fa1ec46b2f5d434b5299904f07c Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Sun, 22 Jun 2025 14:35:13 +0200 Subject: [PATCH 48/54] Update README.rst --- README.rst | 14 -------------- 1 file changed, 14 deletions(-) diff --git a/README.rst b/README.rst index e455d409..cc9364da 100644 --- a/README.rst +++ b/README.rst @@ -30,20 +30,6 @@ Project Structure ├── captures/ # PSFs and image captures ├── README.rst # This file -Demo ----- - -Once the frontend server is running, the local IP address of the Raspberry Pi -and the full URL (e.g., ``http://192.168.1.42:5173``) will be printed in the terminal. - -You must: - -- SSH into the Raspberry Pi -- Run the frontend (`npm run dev`) -- Copy the printed IP address from the terminal -- Open the browser from another device on the same network - -The IP address may change depending on your local network configuration. Getting Started --------------- From a41b9289df50e69f7b1ee18cdfc5a401d9be7e35 Mon Sep 17 00:00:00 2001 From: Eric Bezzam Date: Sun, 6 Jul 2025 15:30:30 +0200 Subject: [PATCH 49/54] Web app + All changes concerning captures --- .gitignore | 2 + configs/capture.yaml | 2 + lenslesswebapp/.gitignore | 2 + lenslesswebapp/package-lock.json | 2413 ++++++++++++++++++++++- lenslesswebapp/package.json | 5 + lenslesswebapp/server/index.cjs | 317 ++- lenslesswebapp/src/DemoPage.tsx | 105 +- lenslesswebapp/src/PhoneCapturePage.tsx | 7 +- scripts/measure/on_device_capture.py | 136 +- 9 files changed, 2852 insertions(+), 137 deletions(-) diff --git a/.gitignore b/.gitignore index cb70e669..190c1e14 100644 --- a/.gitignore +++ b/.gitignore @@ -165,3 +165,5 @@ dmypy.json # Pyre type checker .pyre/ +# ignore all generated outputs +lenslesswebapp/outputs/ diff --git a/configs/capture.yaml b/configs/capture.yaml index 18b6c030..680edca5 100644 --- a/configs/capture.yaml +++ b/configs/capture.yaml @@ -16,4 +16,6 @@ down: null res: null nbits_out: 8 awb_gains: null +auto_exp_psf: false +auto_exp_img: false # awb_gains: [1.9, 1.2] # red, blue \ No newline at end of file diff --git a/lenslesswebapp/.gitignore b/lenslesswebapp/.gitignore index 0eaf4ef0..74bb975e 100644 --- a/lenslesswebapp/.gitignore +++ b/lenslesswebapp/.gitignore @@ -23,3 +23,5 @@ dist-ssr *.sln *.sw? !public/logo.png +lenslesswebapp/outputs/ + diff --git a/lenslesswebapp/package-lock.json b/lenslesswebapp/package-lock.json index 9981b664..21909733 100644 --- a/lenslesswebapp/package-lock.json +++ b/lenslesswebapp/package-lock.json @@ -8,6 +8,11 @@ "name": "lenslesswebapp", "version": "0.0.0", "dependencies": { + "archiver": "^7.0.1", + "cors": "^2.8.5", + "express": "^5.1.0", + "jimp": "^0.16.1", + "multer": "^2.0.1", "react": "^19.1.0", "react-dom": "^19.1.0", "react-router-dom": "^7.6.0" @@ -282,6 +287,15 @@ "@babel/core": "^7.0.0-0" } }, + "node_modules/@babel/runtime": { + "version": "7.27.6", + "resolved": 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"resolved": "https://registry.npmjs.org/yallist/-/yallist-5.0.0.tgz", @@ -4652,6 +6742,15 @@ "node": ">=18" } }, + "node_modules/text-decoder": { + "version": "1.2.3", + "resolved": "https://registry.npmjs.org/text-decoder/-/text-decoder-1.2.3.tgz", + "integrity": "sha512-3/o9z3X0X0fTupwsYvR03pJ/DjWuqqrfwBgTQzdWDiQSm9KitAyz/9WqsT2JQW7KV2m+bC2ol/zqpW37NHxLaA==", + "license": "Apache-2.0", + "dependencies": { + "b4a": "^1.6.4" + } + }, "node_modules/thenify": { "version": "3.3.1", "resolved": "https://registry.npmjs.org/thenify/-/thenify-3.3.1.tgz", @@ -4675,6 +6774,18 @@ "node": ">=0.8" } }, + "node_modules/timm": { + "version": "1.7.1", + "resolved": "https://registry.npmjs.org/timm/-/timm-1.7.1.tgz", + "integrity": "sha512-IjZc9KIotudix8bMaBW6QvMuq64BrJWFs1+4V0lXwWGQZwH+LnX87doAYhem4caOEusRP9/g6jVDQmZ8XOk1nw==", + "license": "MIT" + }, + "node_modules/tinycolor2": { + "version": "1.6.0", + "resolved": "https://registry.npmjs.org/tinycolor2/-/tinycolor2-1.6.0.tgz", + "integrity": 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"funding": { + "type": "github", + "url": "https://github.com/sponsors/Borewit" + } + }, "node_modules/ts-api-utils": { "version": "2.1.0", "resolved": "https://registry.npmjs.org/ts-api-utils/-/ts-api-utils-2.1.0.tgz", @@ -4786,6 +6923,26 @@ "node": ">= 0.8.0" } }, + "node_modules/type-is": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/type-is/-/type-is-2.0.1.tgz", + "integrity": "sha512-OZs6gsjF4vMp32qrCbiVSkrFmXtG/AZhY3t0iAMrMBiAZyV9oALtXO8hsrHbMXF9x6L3grlFuwW2oAz7cav+Gw==", + "license": "MIT", + "dependencies": { + "content-type": "^1.0.5", + "media-typer": "^1.1.0", + "mime-types": "^3.0.0" + }, + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/typedarray": { + "version": "0.0.6", + "resolved": "https://registry.npmjs.org/typedarray/-/typedarray-0.0.6.tgz", + "integrity": "sha512-/aCDEGatGvZ2BIk+HmLf4ifCJFwvKFNb9/JeZPMulfgFracn9QFcAf5GO8B/mweUjSoblS5In0cWhqpfs/5PQA==", + "license": "MIT" + }, "node_modules/typescript": { "version": "5.8.3", "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.8.3.tgz", @@ -4823,6 +6980,24 @@ "typescript": ">=4.8.4 <5.9.0" } }, + "node_modules/undici-types": { + "version": "7.8.0", + "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-7.8.0.tgz", + "integrity": "sha512-9UJ2xGDvQ43tYyVMpuHlsgApydB8ZKfVYTsLDhXkFL/6gfkp+U8xTGdh8pMJv1SpZna0zxG1DwsKZsreLbXBxw==", + "dev": true, + "license": "MIT", + "optional": true, + "peer": true + }, + "node_modules/unpipe": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz", + "integrity": "sha512-pjy2bYhSsufwWlKwPc+l3cN7+wuJlK6uz0YdJEOlQDbl6jo/YlPi4mb8agUkVC8BF7V8NuzeyPNqRksA3hztKQ==", + "license": "MIT", + "engines": { + "node": ">= 0.8" + } + }, "node_modules/update-browserslist-db": { "version": "1.1.3", "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.1.3.tgz", @@ -4864,13 +7039,30 @@ "punycode": "^2.1.0" } }, + "node_modules/utif": { + "version": 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"sha512-/eCGLb5rxjx5e3mF1A7s+pLlR6CGyqWN91fv1JgER5mVWg1MZmlhBvy9kjcsOdRk8RrIujotWyJamfyrp+WIcA==", + "license": "MIT", + "dependencies": { + "global": "~4.4.0", + "is-function": "^1.0.1", + "parse-headers": "^2.0.0", + "xtend": "^4.0.0" + } + }, + "node_modules/xml-parse-from-string": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/xml-parse-from-string/-/xml-parse-from-string-1.0.1.tgz", + "integrity": "sha512-ErcKwJTF54uRzzNMXq2X5sMIy88zJvfN2DmdoQvy7PAFJ+tPRU6ydWuOKNMyfmOjdyBQTFREi60s0Y0SyI0G0g==", + "license": "MIT" + }, + "node_modules/xml2js": { + "version": "0.5.0", + "resolved": "https://registry.npmjs.org/xml2js/-/xml2js-0.5.0.tgz", + "integrity": "sha512-drPFnkQJik/O+uPKpqSgr22mpuFHqKdbS835iAQrUC73L2F5WkboIRd63ai/2Yg6I1jzifPFKH2NTK+cfglkIA==", + "license": "MIT", + "dependencies": { + "sax": ">=0.6.0", + "xmlbuilder": "~11.0.0" + }, + "engines": { + "node": ">=4.0.0" + } + }, + "node_modules/xmlbuilder": { + "version": "11.0.1", + "resolved": "https://registry.npmjs.org/xmlbuilder/-/xmlbuilder-11.0.1.tgz", + "integrity": "sha512-fDlsI/kFEx7gLvbecc0/ohLG50fugQp8ryHzMTuW9vSa1GJ0XYWKnhsUx7oie3G98+r56aTQIUB4kht42R3JvA==", + "license": "MIT", + "engines": { + "node": ">=4.0" + } + }, + "node_modules/xtend": { + "version": "4.0.2", + "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz", + "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==", + "license": "MIT", + "engines": { + "node": ">=0.4" + } + }, "node_modules/yallist": { "version": "3.1.1", "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz", @@ -5127,6 +7366,36 @@ "funding": { "url": "https://github.com/sponsors/sindresorhus" } + }, + "node_modules/zip-stream": { + "version": "6.0.1", + "resolved": "https://registry.npmjs.org/zip-stream/-/zip-stream-6.0.1.tgz", + "integrity": "sha512-zK7YHHz4ZXpW89AHXUPbQVGKI7uvkd3hzusTdotCg1UxyaVtg0zFJSTfW/Dq5f7OBBVnq6cZIaC8Ti4hb6dtCA==", + "license": "MIT", + "dependencies": { + "archiver-utils": "^5.0.0", + "compress-commons": "^6.0.2", + "readable-stream": "^4.0.0" + }, + "engines": { + "node": ">= 14" + } + }, + "node_modules/zip-stream/node_modules/readable-stream": { + "version": "4.7.0", + "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-4.7.0.tgz", + "integrity": "sha512-oIGGmcpTLwPga8Bn6/Z75SVaH1z5dUut2ibSyAMVhmUggWpmDn2dapB0n7f8nwaSiRtepAsfJyfXIO5DCVAODg==", + "license": "MIT", + "dependencies": { + "abort-controller": "^3.0.0", + "buffer": "^6.0.3", + "events": "^3.3.0", + "process": "^0.11.10", + "string_decoder": "^1.3.0" + }, + "engines": { + "node": "^12.22.0 || ^14.17.0 || >=16.0.0" + } } } } diff --git a/lenslesswebapp/package.json b/lenslesswebapp/package.json index 2ed047f7..b3b6b0a8 100644 --- a/lenslesswebapp/package.json +++ b/lenslesswebapp/package.json @@ -10,6 +10,11 @@ "preview": "vite preview" }, "dependencies": { + "archiver": "^7.0.1", + "cors": "^2.8.5", + "express": "^5.1.0", + "jimp": "^0.16.1", + "multer": "^2.0.1", "react": "^19.1.0", "react-dom": "^19.1.0", "react-router-dom": "^7.6.0" diff --git a/lenslesswebapp/server/index.cjs b/lenslesswebapp/server/index.cjs index b3ba0088..55fe28bd 100644 --- a/lenslesswebapp/server/index.cjs +++ b/lenslesswebapp/server/index.cjs @@ -6,12 +6,16 @@ const fs = require('fs'); const https = require('https'); const multer = require('multer'); const upload = multer({ dest: '/tmp' }); // Dossier temporaire +const Jimp = require('jimp'); const app = express(); const PORT = 5000; -app.use(cors()); +app.use(cors({ + origin: '*', + methods: ['GET', 'POST'], +})); app.use(express.json()); // Helper function to execute a shell command with real-time output @@ -47,7 +51,6 @@ function runCommandLive(command, args, cwd, extractHydraDir = false) { }); } - app.post('/run-demo', async (req, res) => { try { console.log("[SERVER] /run-demo endpoint hit"); @@ -73,7 +76,7 @@ app.post('/run-demo', async (req, res) => { 'sensor=rpi_hq', 'bayer=True', 'fn=capture', - 'exp=1', + 'exp=0.15', 'iso=100', 'config_pause=2', 'sensor_mode=0', @@ -82,6 +85,7 @@ app.post('/run-demo', async (req, res) => { 'rgb=False', 'gray=False', 'sixteen=True', + 'auto_exp_psf=true' ], '/home/pi3/LenslessPiCam-Imane' ); @@ -101,7 +105,7 @@ app.post('/run-demo', async (req, res) => { '--bayer', '--gamma', '2.2', '--rg', '2.0', - '--bg', '1.1', + '--bg', '1.2', '--lensless', '--down', '2', '--save', `Psf/${psfName}/psf_rgb.png`, @@ -128,11 +132,18 @@ app.post('/run-demo', async (req, res) => { app.post('/run-full-imaging', upload.single('image'), async (req, res) => { try { - const { psfChosen, iterations = 10, algorithm = "ADMM" } = req.body; + const psfChosen = req.body.psfChosen; + const iterations = parseInt(req.body.iterations || '10', 10); + const algorithm = req.body.algorithm || "ADMM"; + const useAutoExposure = req.body.useAutoExposure === 'true'; + const manualExposure = parseFloat(req.body.manualExposure || '0.04'); const imagePath = req.file.path; + console.log(`[DEBUG] useAutoExposure: ${useAutoExposure}, manualExposure: ${manualExposure}s`); + + // 1. Nom de dossier basé sur timestamp (très simple et lisible) - const captureId = Date.now().toString(); + const captureId = req.body.captureName || Date.now().toString(); const captureDir = `/home/pi3/LenslessPiCam-Imane/Captures/${captureId}`; console.log(`[1] Création du dossier de capture : ${captureDir}`); @@ -161,31 +172,37 @@ app.post('/run-demo', async (req, res) => { 'rpi.username=pi3', 'rpi.hostname=128.179.187.191', `fp=${captureDir}/uploaded.png`, - "'display.image_res=[900,900]'" + "'display.image_res=[900,900]'", + "'display.vshift=-25'" ], - '/home/pi3/LenslessPiCam' + '/home/pi3/LenslessPiCam-Imane' ); console.log(`[3] Image affichée.`); // 5. Capture la photo via la caméra du Pi console.log(`[4] Capture via la caméra du Pi (on_device_capture.py)`); + const baseArgs = [ + 'scripts/measure/on_device_capture.py', + 'sensor=rpi_hq', + 'bayer=True', + 'fn=capture', + ...(useAutoExposure ? ['exp=0.04', 'auto_exp_img=true'] : [`exp=${manualExposure}`]), + 'iso=100', + 'config_pause=2', + 'sensor_mode=0', + 'nbits_out=12', + 'legacy=True', + 'rgb=False', + 'gray=False', + 'sixteen=True' + ]; + + if (useAutoExposure) { + baseArgs.push('auto_exp_img=true');} // ← très important + await runCommandLive( '/home/pi3/LenslessPiCam/lensless_env/bin/python', - [ - 'scripts/measure/on_device_capture.py', - 'sensor=rpi_hq', - 'bayer=True', - 'fn=capture', - 'exp=1', - 'iso=100', - 'config_pause=2', - 'sensor_mode=0', - 'nbits_out=12', - 'legacy=True', - 'rgb=False', - 'gray=False', - 'sixteen=True', - ], + baseArgs, '/home/pi3/LenslessPiCam-Imane' ); console.log(`[4] Capture terminée.`); @@ -209,7 +226,7 @@ app.post('/run-demo', async (req, res) => { '--bayer', '--gamma', '2.2', '--rg', '2.0', - '--bg', '1.1', + '--bg', '1.2', '--save', colorCorrectedPath ], '/home/pi3/LenslessPiCam-Imane' @@ -234,7 +251,7 @@ app.post('/run-demo', async (req, res) => { `input.data=${colorCorrectedPath}`, `input.psf=${psfPath}`, `admm.n_iter=${iterations}`, - `preprocess.downsample=8`, + `preprocess.downsample=2`, `display.plot=true` ]; } @@ -250,6 +267,108 @@ app.post('/run-demo', async (req, res) => { if (hydraOutputDir) { const reconSrc = path.join(hydraOutputDir, `${iterations}.png`); await runCommandLive('mv', [reconSrc, reconPath], '/home/pi3/LenslessPiCam-Imane'); + + // 🧠 Smart cropping logic starts here + const Jimp = require('jimp'); + const image = await Jimp.read(reconPath); + + // Step 1: Remove white matplotlib border + const whiteMargin = 100; + if (image.bitmap.width > 2 * whiteMargin && image.bitmap.height > 2 * whiteMargin) { + image.crop( + whiteMargin, + whiteMargin, + image.bitmap.width - 2 * whiteMargin, + image.bitmap.height - 2 * whiteMargin + ); + } else { + console.warn(`⚠️ Skipping white border crop — image too small (${image.bitmap.width}x${image.bitmap.height})`); + } + + // Step 2: Histogram-based black crop + const w = image.bitmap.width; + const h = image.bitmap.height; + const brightnessThreshold = 30; + const pixelThreshold = 1; + + let top = 0, bottom = h - 1; + let left = 0, right = w - 1; + + for (let y = 0; y < h; y++) { + let count = 0; + for (let x = 0; x < w; x++) { + const idx = image.getPixelIndex(x, y); + const r = image.bitmap.data[idx + 0]; + const g = image.bitmap.data[idx + 1]; + const b = image.bitmap.data[idx + 2]; + const brightness = (r + g + b) / 3; + if (brightness > brightnessThreshold) count++; + } + if (count > pixelThreshold) { + top = y; + break; + } + } + + for (let y = h - 1; y >= 0; y--) { + let count = 0; + for (let x = 0; x < w; x++) { + const idx = image.getPixelIndex(x, y); + const r = image.bitmap.data[idx + 0]; + const g = image.bitmap.data[idx + 1]; + const b = image.bitmap.data[idx + 2]; + const brightness = (r + g + b) / 3; + if (brightness > brightnessThreshold) count++; + } + if (count > pixelThreshold) { + bottom = y; + break; + } + } + + for (let x = 0; x < w; x++) { + let count = 0; + for (let y = 0; y < h; y++) { + const idx = image.getPixelIndex(x, y); + const r = image.bitmap.data[idx + 0]; + const g = image.bitmap.data[idx + 1]; + const b = image.bitmap.data[idx + 2]; + const brightness = (r + g + b) / 3; + if (brightness > brightnessThreshold) count++; + } + if (count > pixelThreshold) { + left = x; + break; + } + } + + for (let x = w - 1; x >= 0; x--) { + let count = 0; + for (let y = 0; y < h; y++) { + const idx = image.getPixelIndex(x, y); + const r = image.bitmap.data[idx + 0]; + const g = image.bitmap.data[idx + 1]; + const b = image.bitmap.data[idx + 2]; + const brightness = (r + g + b) / 3; + if (brightness > brightnessThreshold) count++; + } + if (count > pixelThreshold) { + right = x; + break; + } + } + + const cropWidth = right - left + 1; + const cropHeight = bottom - top + 1; + + if (cropWidth > 0 && cropHeight > 0) { + image.crop(left, top, cropWidth, cropHeight); + await image.writeAsync(reconPath); + console.log(`✅ Smart-cropped to: ${cropWidth}x${cropHeight}`); + } else { + console.warn(`⚠️ Skipping: invalid crop area.`); + } + } else { throw new Error('No Hydra output directory detected!'); } @@ -323,7 +442,7 @@ app.post('/run-demo', async (req, res) => { `input.data=${colorCorrectedPath}`, `input.psf=${psfPath}`, `admm.n_iter=${iterations}`, - `preprocess.downsample=8`, + `preprocess.downsample=2`, `display.plot=true` ]; } @@ -334,6 +453,7 @@ app.post('/run-demo', async (req, res) => { '/home/pi3/LenslessPiCam-Imane', true ); + if (!hydraOutputDir) { @@ -342,6 +462,109 @@ app.post('/run-demo', async (req, res) => { const newReconPath = path.join(hydraOutputDir, `${iterations}.png`); await runCommandLive('mv', [newReconPath, reconPath], '/home/pi3/LenslessPiCam-Imane'); + + // 🧠 Smart cropping logic starts here + const Jimp = require('jimp'); + const image = await Jimp.read(reconPath); + + // Step 1: Remove white matplotlib border + const whiteMargin = 100; + if (image.bitmap.width > 2 * whiteMargin && image.bitmap.height > 2 * whiteMargin) { + image.crop( + whiteMargin, + whiteMargin, + image.bitmap.width - 2 * whiteMargin, + image.bitmap.height - 2 * whiteMargin + ); + } else { + console.warn(`⚠️ Skipping white border crop — image too small (${image.bitmap.width}x${image.bitmap.height})`); + } + + // Step 2: Histogram-based black crop + const w = image.bitmap.width; + const h = image.bitmap.height; + const brightnessThreshold = 25; + const pixelThreshold = 1; + + let top = 0, bottom = h - 1; + let left = 0, right = w - 1; + + for (let y = 0; y < h; y++) { + let count = 0; + for (let x = 0; x < w; x++) { + const idx = image.getPixelIndex(x, y); + const r = image.bitmap.data[idx + 0]; + const g = image.bitmap.data[idx + 1]; + const b = image.bitmap.data[idx + 2]; + const brightness = (r + g + b) / 3; + if (brightness > brightnessThreshold) count++; + } + if (count > pixelThreshold) { + top = y; + break; + } + } + + for (let y = h - 1; y >= 0; y--) { + let count = 0; + for (let x = 0; x < w; x++) { + const idx = image.getPixelIndex(x, y); + const r = image.bitmap.data[idx + 0]; + const g = image.bitmap.data[idx + 1]; + const b = image.bitmap.data[idx + 2]; + const brightness = (r + g + b) / 3; + if (brightness > brightnessThreshold) count++; + } + if (count > pixelThreshold) { + bottom = y; + break; + } + } + + for (let x = 0; x < w; x++) { + let count = 0; + for (let y = 0; y < h; y++) { + const idx = image.getPixelIndex(x, y); + const r = image.bitmap.data[idx + 0]; + const g = image.bitmap.data[idx + 1]; + const b = image.bitmap.data[idx + 2]; + const brightness = (r + g + b) / 3; + if (brightness > brightnessThreshold) count++; + } + if (count > pixelThreshold) { + left = x; + break; + } + } + + for (let x = w - 1; x >= 0; x--) { + let count = 0; + for (let y = 0; y < h; y++) { + const idx = image.getPixelIndex(x, y); + const r = image.bitmap.data[idx + 0]; + const g = image.bitmap.data[idx + 1]; + const b = image.bitmap.data[idx + 2]; + const brightness = (r + g + b) / 3; + if (brightness > brightnessThreshold) count++; + } + if (count > pixelThreshold) { + right = x; + break; + } + } + + const cropWidth = right - left + 1; + const cropHeight = bottom - top + 1; + + if (cropWidth > 0 && cropHeight > 0) { + image.crop(left, top, cropWidth, cropHeight); + await image.writeAsync(reconPath); + console.log(`✅ Smart-cropped to: ${cropWidth}x${cropHeight}`); + } else { + console.warn(`⚠️ Skipping: invalid crop area.`); + } + + const reconBuffer = fs.readFileSync(reconPath); res.json({ recon: reconBuffer.toString('base64') }); @@ -387,6 +610,46 @@ app.post('/run-demo', async (req, res) => { }); }); + app.get('/list-captures', (req, res) => { + const baseDir = '/home/pi3/LenslessPiCam-Imane/Captures'; + fs.readdir(baseDir, { withFileTypes: true }, (err, files) => { + if (err) { + console.error("[SERVER] Error listing captures:", err); + return res.status(500).json({ error: 'Could not read Captures directory' }); + } + const captureList = files.filter(f => f.isDirectory()).map(f => f.name); + res.json({ captures: captureList }); + }); + }) + + app.get('/load-capture/:captureId', (req, res) => { + const { captureId } = req.params; + const captureDir = path.join('/home/pi3/LenslessPiCam-Imane/Captures', captureId); + let psfName = 'PSF_1mm'; // ⬅️ fallback default + + const rawPath = path.join(captureDir, 'data_rgb_8bit.png'); + const reconPath = path.join(captureDir, 'reconstruction.png'); + const uploadedPath = path.join(captureDir, 'uploaded.png'); + + if (!fs.existsSync(rawPath) || !fs.existsSync(reconPath)) { + return res.status(404).json({ error: 'Files not found in capture folder' }); + } + + const imgCapture = fs.readFileSync(rawPath); + const imgRecon = fs.readFileSync(reconPath); + let imgUpload = null; + if (fs.existsSync(uploadedPath)) { + imgUpload = fs.readFileSync(uploadedPath); + } + res.json({ + imgCapture: imgCapture.toString('base64'), + imgRecon: imgRecon.toString('base64'), + imgUpload: imgUpload ? imgUpload.toString('base64') : null,psfName + + }); + }); + + const archiver = require('archiver'); // ← if not yet added at the top @@ -449,4 +712,4 @@ const cert = fs.readFileSync(path.join(__dirname, '../certs/cert.pem')); https.createServer({ key, cert }, app).listen(PORT, '0.0.0.0', () => { console.log(`Demo backend running on https://128.179.187.191:${PORT}`); -}); +}); \ No newline at end of file diff --git a/lenslesswebapp/src/DemoPage.tsx b/lenslesswebapp/src/DemoPage.tsx index 4c189d12..8e0cdb7a 100644 --- a/lenslesswebapp/src/DemoPage.tsx +++ b/lenslesswebapp/src/DemoPage.tsx @@ -21,6 +21,9 @@ const downloadImagingZip = async (captureId) => { } }; + + + export default function Demo() { const [selectedFile, setSelectedFile] = useState(null); const [imagePreview, setImagePreview] = useState(null); @@ -44,6 +47,14 @@ export default function Demo() { const [manualExposure, setManualExposure] = useState(1); // default to 1s const [showAlgorithmModal, setShowAlgorithmModal] = useState(false); const [newAlgorithm, setNewAlgorithm] = useState(algorithm); + const [captureName, setCaptureName] = useState(""); + const [captureList, setCaptureList] = useState([]); + const [selectedCapture, setSelectedCapture] = useState(""); + const [showCaptureDropdown, setShowCaptureDropdown] = useState(false); // ✅ add this + + + + const fileInputRef = useRef(null); const videoRef = useRef(null); @@ -52,7 +63,33 @@ export default function Demo() { const [psfImage, setPsfImage] = useState(null); const [autocorrImage, setAutocorrImage] = useState(null); - + const handleLoadCapture = async (id) => { + try { + const res = await fetch(`https://128.179.187.191:5000/load-capture/${id}`); + if (!res.ok) throw new Error("Failed to load capture"); + const data = await res.json(); + setRawLenslessImage(`data:image/png;base64,${data.imgCapture}`); + setReconImage(`data:image/png;base64,${data.imgRecon}`); + sessionStorage.setItem("latestCaptureId", id); // set for download & rerun + if (data.psfName) { + setSelectedPsf(data.psfName); + sessionStorage.setItem("selectedPsf", data.psfName); + } + + if (data.imgUpload) { + const uploadUrl = `data:image/png;base64,${data.imgUpload}`; + setImagePreview(uploadUrl); // 🔍 for visual preview + + // Also keep File object in case user reruns reconstruction + const blob = await (await fetch(uploadUrl)).blob(); + const file = new File([blob], "loaded.png", { type: "image/png" }); + setSelectedFile(file); // ✅ Makes sure the backend can rerun with this + } + } catch (err) { + setImagingStatus("❌ Load failed."); + console.error(err); + } + }; useEffect(() => { if (showCamera && videoRef.current && streamRef.current) { videoRef.current.srcObject = streamRef.current; @@ -71,6 +108,17 @@ export default function Demo() { }); }, []); + useEffect(() => { + fetch('https://128.179.187.191:5000/list-captures') + .then(res => res.json()) + .then(data => setCaptureList(data.captures || [])) + .catch(err => { + setCaptureList([]); + console.error('Could not load capture list:', err); + }); + }, []); + + const handleFileChange = (e) => { const file = e.target.files[0]; setSelectedFile(file); @@ -134,8 +182,10 @@ export default function Demo() { formData.append('iterations', iterations); formData.append('psfChosen', selectedPsf); formData.append('image', selectedFile); - //formData.append('exp', useAutoExposure ? 'auto' : manualExposure); + formData.append('useAutoExposure', useAutoExposure.toString()); + formData.append('manualExposure', manualExposure.toString()); formData.append('algorithm', algorithm); + formData.append('captureName', captureName.trim()); try { setShowImagingModal(false); setImagingStatus("Uploading and displaying image..."); @@ -453,6 +503,29 @@ export default function Demo() { > Download + + + {showCaptureDropdown && ( + + )}
@@ -541,7 +614,7 @@ export default function Demo() { {imagePreview && (
-

Image Preview:

+

Image Preview:

Preview
)} @@ -685,12 +758,12 @@ export default function Demo() { {!useAutoExposure && (
- + setManualExposure(Number(e.target.value))} className="w-full px-3 py-1 rounded text-black" /> @@ -702,8 +775,16 @@ export default function Demo() {
setIterations(Number(e.target.value))} className="w-full" /> - - +
+ + setCaptureName(e.target.value)} + placeholder="Enter folder name" + className="w-full px-4 py-2 rounded text-black" + /> +
)} - +
); } diff --git a/lenslesswebapp/src/PhoneCapturePage.tsx b/lenslesswebapp/src/PhoneCapturePage.tsx index ccb5d3cc..285d37fd 100644 --- a/lenslesswebapp/src/PhoneCapturePage.tsx +++ b/lenslesswebapp/src/PhoneCapturePage.tsx @@ -16,8 +16,13 @@ export default function PhoneCapturePage() { streamRef.current = stream; if (videoRef.current) { videoRef.current.srcObject = stream; - await videoRef.current.play(); + videoRef.current.onloadedmetadata = () => { + videoRef.current?.play().catch(err => { + console.error("Video play() failed:", err); + }); + }; } + } catch (err) { console.error("Camera access failed", err); setStatus("Camera access denied."); diff --git a/scripts/measure/on_device_capture.py b/scripts/measure/on_device_capture.py index 9ddedabc..039c2a51 100644 --- a/scripts/measure/on_device_capture.py +++ b/scripts/measure/on_device_capture.py @@ -301,65 +301,145 @@ def capture(config): print("Image saved to : {}".format(fn)) -def auto_expose_locally(config): +def auto_expose_psf_locally(config): + import copy + import numpy as np max_iter = 10 - target_max = 4095 if config.nbits_out > 8 else 255 - max_saturation_ratio = 0.001 exp = config.exp + tested_exposures = [] + + min_exp = sensor_dict[config.sensor][SensorParam.MIN_EXPOSURE] + max_exp = sensor_dict[config.sensor][SensorParam.MAX_EXPOSURE] i = 0 while i < max_iter: - print(f"\n[Auto Exposure] Attempt {i+1} | exp = {exp:.6f}s") + print(f"\\n[Auto Exposure] Attempt {i+1} | exp = {exp:.6f}s") + tested_exposures.append(exp) # Clone config and update exposure config_local = copy.deepcopy(config) config_local.exp = exp - # Call capture + # Capture image capture(config_local) - - # Build image path fn = config.fn + ".png" + img = load_image(fn, verbose=False, bayer=config.bayer, + blue_gain=None, red_gain=None, nbits_out=config.nbits_out) - # Load image - img = cv2.imread(fn, cv2.IMREAD_UNCHANGED) if img is None: - print(f"❌ Failed to load image from {fn}") + print(f" Failed to load image from {fn}") break - # Evaluate brightness - max_val = np.max(img) - sat_ratio = np.sum(img == target_max) / img.size - print(f" Max pixel: {max_val} | Saturated: {sat_ratio*100:.4f}%") + # Histogram analysis + max_val = img.max() + hist, _ = np.histogram(img, bins=range(4097)) + val_4095 = hist[4095] + val_3000_4000 = next((hist[v] for v in range(3000, 4000) if hist[v] > 0), 0) + + print(f" Max: {max_val} | hist[4095]: {val_4095} | first non-zero hist[3000–4000]: {val_3000_4000}") - # Stop if image is well exposed - if max_val >= target_max * 0.99 and sat_ratio <= max_saturation_ratio: - print(f"✅ Good exposure found at exp = {exp:.6f}s") + # --- Stopping condition --- + if max_val == 4095 and val_4095 <= 3 * val_3000_4000: + print(f" Good exposure at exp = {exp:.6f}s") break - # Adjust exposure - if max_val >= target_max: - exp *= 0.7 if sat_ratio > max_saturation_ratio else 0.95 - elif max_val >= target_max * 0.93: - exp *= 1.05 - else: + # --- Stop if at min exposure and still saturated --- + if exp <= min_exp and max_val == 4095: + print(f" Reached minimum exposure ({exp:.6f}s) and still saturated. Stopping.") + break + + # --- Fine-tuning adjustment --- + if max_val == 4095 and val_4095 <= 20: + print("Fine-tuning: small saturation, slightly reducing exposure") + exp *= 0.95 + # --- General adjustment --- + elif max_val < 4095: exp *= 1.4 + else: + exp *= 0.8 - # Clamp to hardware limits - min_exp = sensor_dict[config.sensor][SensorParam.MIN_EXPOSURE] - max_exp = sensor_dict[config.sensor][SensorParam.MAX_EXPOSURE] + # Clamp to sensor limits exp = min(max(exp, min_exp), max_exp) i += 1 print(f"Final exposure used: {exp:.6f}s") +def auto_expose_image_locally(config): + import copy + import numpy as np + + max_iter = 10 + exp = config.exp + tested_exposures = [] + + min_exp = sensor_dict[config.sensor][SensorParam.MIN_EXPOSURE] + max_exp = sensor_dict[config.sensor][SensorParam.MAX_EXPOSURE] + + i = 0 + while i < max_iter: + print(f"\n[Auto Exposure - Image] Attempt {i+1} | exp = {exp:.6f}s") + tested_exposures.append(exp) + + config_local = copy.deepcopy(config) + config_local.exp = exp + + capture(config_local) + fn = config.fn + ".png" + img = load_image(fn, verbose=False, bayer=config.bayer, + blue_gain=None, red_gain=None, nbits_out=config.nbits_out) + + if img is None: + print(f" Failed to load image from {fn}") + break + + max_val = img.max() + hist, _ = np.histogram(img, bins=range(4097)) + print(f" Max: {max_val} | hist[4095]: {hist[4095]}") + + # Condition 1: max between 3900–4080 + if 3900 <= max_val <= 4080: + print(f" Accepted exposure at exp = {exp:.6f}s (max in range)") + break + + # Condition 2: max == 4095 and contrast is good + if max_val == 4095: + for v in range(1000, 2001): + if hist[v] > 0 and hist[4095] <= 3 * hist[v]: + print(f" Accepted: hist[4095] = {hist[4095]} <= 3 × hist[{v}] = {hist[v]}") + break + else: + # condition not satisfied → decrease exposure + print(" Max = 4095 but low contrast → decreasing exposure") + exp *= 0.85 + exp = max(exp, min_exp) + i += 1 + continue + break + + # 🔼 Increase if too dark + if max_val < 3900: + print(" Too dark → increasing exposure") + exp *= 1.4 + else: + print(" Too bright → decreasing exposure") + exp *= 0.8 + + # Clamp to bounds + exp = min(max(exp, min_exp), max_exp) + i += 1 + + print(f"[Auto Exposure - Image] Final exposure used: {exp:.6f}s") + + @hydra.main(version_base=None, config_path="../../configs", config_name="capture") def main(config): - if config.auto_exp: - auto_expose_locally(config) + if getattr(config, "auto_exp_psf", False): + auto_expose_psf_locally(config) + elif getattr(config, "auto_exp_img", False): + auto_expose_image_locally(config) else: capture(config) From 16e8ac91c8f7ce4c70dd640f0ad52477f9e09de2 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Fri, 4 Jul 2025 14:49:54 +0200 Subject: [PATCH 50/54] Updating code --- scripts/measure/on_device_capture.py | 141 --------------------------- 1 file changed, 141 deletions(-) diff --git a/scripts/measure/on_device_capture.py b/scripts/measure/on_device_capture.py index 039c2a51..ca4e4d50 100644 --- a/scripts/measure/on_device_capture.py +++ b/scripts/measure/on_device_capture.py @@ -301,147 +301,6 @@ def capture(config): print("Image saved to : {}".format(fn)) -def auto_expose_psf_locally(config): - import copy - import numpy as np - - max_iter = 10 - exp = config.exp - tested_exposures = [] - - min_exp = sensor_dict[config.sensor][SensorParam.MIN_EXPOSURE] - max_exp = sensor_dict[config.sensor][SensorParam.MAX_EXPOSURE] - - i = 0 - while i < max_iter: - print(f"\\n[Auto Exposure] Attempt {i+1} | exp = {exp:.6f}s") - tested_exposures.append(exp) - - # Clone config and update exposure - config_local = copy.deepcopy(config) - config_local.exp = exp - - # Capture image - capture(config_local) - fn = config.fn + ".png" - img = load_image(fn, verbose=False, bayer=config.bayer, - blue_gain=None, red_gain=None, nbits_out=config.nbits_out) - - if img is None: - print(f" Failed to load image from {fn}") - break - - # Histogram analysis - max_val = img.max() - hist, _ = np.histogram(img, bins=range(4097)) - val_4095 = hist[4095] - val_3000_4000 = next((hist[v] for v in range(3000, 4000) if hist[v] > 0), 0) - - print(f" Max: {max_val} | hist[4095]: {val_4095} | first non-zero hist[3000–4000]: {val_3000_4000}") - - # --- Stopping condition --- - if max_val == 4095 and val_4095 <= 3 * val_3000_4000: - print(f" Good exposure at exp = {exp:.6f}s") - break - - # --- Stop if at min exposure and still saturated --- - if exp <= min_exp and max_val == 4095: - print(f" Reached minimum exposure ({exp:.6f}s) and still saturated. Stopping.") - break - - # --- Fine-tuning adjustment --- - if max_val == 4095 and val_4095 <= 20: - print("Fine-tuning: small saturation, slightly reducing exposure") - exp *= 0.95 - # --- General adjustment --- - elif max_val < 4095: - exp *= 1.4 - else: - exp *= 0.8 - - # Clamp to sensor limits - exp = min(max(exp, min_exp), max_exp) - - i += 1 - - print(f"Final exposure used: {exp:.6f}s") - -def auto_expose_image_locally(config): - import copy - import numpy as np - - max_iter = 10 - exp = config.exp - tested_exposures = [] - - min_exp = sensor_dict[config.sensor][SensorParam.MIN_EXPOSURE] - max_exp = sensor_dict[config.sensor][SensorParam.MAX_EXPOSURE] - - i = 0 - while i < max_iter: - print(f"\n[Auto Exposure - Image] Attempt {i+1} | exp = {exp:.6f}s") - tested_exposures.append(exp) - - config_local = copy.deepcopy(config) - config_local.exp = exp - - capture(config_local) - fn = config.fn + ".png" - img = load_image(fn, verbose=False, bayer=config.bayer, - blue_gain=None, red_gain=None, nbits_out=config.nbits_out) - - if img is None: - print(f" Failed to load image from {fn}") - break - - max_val = img.max() - hist, _ = np.histogram(img, bins=range(4097)) - print(f" Max: {max_val} | hist[4095]: {hist[4095]}") - - # Condition 1: max between 3900–4080 - if 3900 <= max_val <= 4080: - print(f" Accepted exposure at exp = {exp:.6f}s (max in range)") - break - - # Condition 2: max == 4095 and contrast is good - if max_val == 4095: - for v in range(1000, 2001): - if hist[v] > 0 and hist[4095] <= 3 * hist[v]: - print(f" Accepted: hist[4095] = {hist[4095]} <= 3 × hist[{v}] = {hist[v]}") - break - else: - # condition not satisfied → decrease exposure - print(" Max = 4095 but low contrast → decreasing exposure") - exp *= 0.85 - exp = max(exp, min_exp) - i += 1 - continue - break - - # 🔼 Increase if too dark - if max_val < 3900: - print(" Too dark → increasing exposure") - exp *= 1.4 - else: - print(" Too bright → decreasing exposure") - exp *= 0.8 - - # Clamp to bounds - exp = min(max(exp, min_exp), max_exp) - i += 1 - - print(f"[Auto Exposure - Image] Final exposure used: {exp:.6f}s") - - - -@hydra.main(version_base=None, config_path="../../configs", config_name="capture") -def main(config): - if getattr(config, "auto_exp_psf", False): - auto_expose_psf_locally(config) - elif getattr(config, "auto_exp_img", False): - auto_expose_image_locally(config) - else: - capture(config) if __name__ == "__main__": main() From a1067ac0e3ff32b4daef042f1e8df0a3c7311e9d Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Fri, 4 Jul 2025 14:50:09 +0200 Subject: [PATCH 51/54] Update Code --- scripts/measure/on_device_capture.py | 61 ++++++++++++++++++++++++++++ 1 file changed, 61 insertions(+) diff --git a/scripts/measure/on_device_capture.py b/scripts/measure/on_device_capture.py index ca4e4d50..9ddedabc 100644 --- a/scripts/measure/on_device_capture.py +++ b/scripts/measure/on_device_capture.py @@ -301,6 +301,67 @@ def capture(config): print("Image saved to : {}".format(fn)) +def auto_expose_locally(config): + + max_iter = 10 + target_max = 4095 if config.nbits_out > 8 else 255 + max_saturation_ratio = 0.001 + exp = config.exp + + i = 0 + while i < max_iter: + print(f"\n[Auto Exposure] Attempt {i+1} | exp = {exp:.6f}s") + + # Clone config and update exposure + config_local = copy.deepcopy(config) + config_local.exp = exp + + # Call capture + capture(config_local) + + # Build image path + fn = config.fn + ".png" + + # Load image + img = cv2.imread(fn, cv2.IMREAD_UNCHANGED) + if img is None: + print(f"❌ Failed to load image from {fn}") + break + + # Evaluate brightness + max_val = np.max(img) + sat_ratio = np.sum(img == target_max) / img.size + print(f" Max pixel: {max_val} | Saturated: {sat_ratio*100:.4f}%") + + # Stop if image is well exposed + if max_val >= target_max * 0.99 and sat_ratio <= max_saturation_ratio: + print(f"✅ Good exposure found at exp = {exp:.6f}s") + break + + # Adjust exposure + if max_val >= target_max: + exp *= 0.7 if sat_ratio > max_saturation_ratio else 0.95 + elif max_val >= target_max * 0.93: + exp *= 1.05 + else: + exp *= 1.4 + + # Clamp to hardware limits + min_exp = sensor_dict[config.sensor][SensorParam.MIN_EXPOSURE] + max_exp = sensor_dict[config.sensor][SensorParam.MAX_EXPOSURE] + exp = min(max(exp, min_exp), max_exp) + + i += 1 + + print(f"Final exposure used: {exp:.6f}s") + + +@hydra.main(version_base=None, config_path="../../configs", config_name="capture") +def main(config): + if config.auto_exp: + auto_expose_locally(config) + else: + capture(config) if __name__ == "__main__": main() From 319dc57eddb288a252a1c11dfc6bab00c5ed6b20 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Sun, 6 Jul 2025 15:38:31 +0200 Subject: [PATCH 52/54] changes --- scripts/measure/on_device_capture.py | 61 ---------------------------- 1 file changed, 61 deletions(-) diff --git a/scripts/measure/on_device_capture.py b/scripts/measure/on_device_capture.py index 9ddedabc..ca4e4d50 100644 --- a/scripts/measure/on_device_capture.py +++ b/scripts/measure/on_device_capture.py @@ -301,67 +301,6 @@ def capture(config): print("Image saved to : {}".format(fn)) -def auto_expose_locally(config): - - max_iter = 10 - target_max = 4095 if config.nbits_out > 8 else 255 - max_saturation_ratio = 0.001 - exp = config.exp - - i = 0 - while i < max_iter: - print(f"\n[Auto Exposure] Attempt {i+1} | exp = {exp:.6f}s") - - # Clone config and update exposure - config_local = copy.deepcopy(config) - config_local.exp = exp - - # Call capture - capture(config_local) - - # Build image path - fn = config.fn + ".png" - - # Load image - img = cv2.imread(fn, cv2.IMREAD_UNCHANGED) - if img is None: - print(f"❌ Failed to load image from {fn}") - break - - # Evaluate brightness - max_val = np.max(img) - sat_ratio = np.sum(img == target_max) / img.size - print(f" Max pixel: {max_val} | Saturated: {sat_ratio*100:.4f}%") - - # Stop if image is well exposed - if max_val >= target_max * 0.99 and sat_ratio <= max_saturation_ratio: - print(f"✅ Good exposure found at exp = {exp:.6f}s") - break - - # Adjust exposure - if max_val >= target_max: - exp *= 0.7 if sat_ratio > max_saturation_ratio else 0.95 - elif max_val >= target_max * 0.93: - exp *= 1.05 - else: - exp *= 1.4 - - # Clamp to hardware limits - min_exp = sensor_dict[config.sensor][SensorParam.MIN_EXPOSURE] - max_exp = sensor_dict[config.sensor][SensorParam.MAX_EXPOSURE] - exp = min(max(exp, min_exp), max_exp) - - i += 1 - - print(f"Final exposure used: {exp:.6f}s") - - -@hydra.main(version_base=None, config_path="../../configs", config_name="capture") -def main(config): - if config.auto_exp: - auto_expose_locally(config) - else: - capture(config) if __name__ == "__main__": main() From 5db3a7b93a7d03d2ef952bcbfbb3eee15f056a8f Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Sun, 6 Jul 2025 15:46:11 +0200 Subject: [PATCH 53/54] ok --- scripts/measure/on_device_capture.py | 141 +++++++++++++++++++++++++++ 1 file changed, 141 insertions(+) diff --git a/scripts/measure/on_device_capture.py b/scripts/measure/on_device_capture.py index ca4e4d50..039c2a51 100644 --- a/scripts/measure/on_device_capture.py +++ b/scripts/measure/on_device_capture.py @@ -301,6 +301,147 @@ def capture(config): print("Image saved to : {}".format(fn)) +def auto_expose_psf_locally(config): + import copy + import numpy as np + + max_iter = 10 + exp = config.exp + tested_exposures = [] + + min_exp = sensor_dict[config.sensor][SensorParam.MIN_EXPOSURE] + max_exp = sensor_dict[config.sensor][SensorParam.MAX_EXPOSURE] + + i = 0 + while i < max_iter: + print(f"\\n[Auto Exposure] Attempt {i+1} | exp = {exp:.6f}s") + tested_exposures.append(exp) + + # Clone config and update exposure + config_local = copy.deepcopy(config) + config_local.exp = exp + + # Capture image + capture(config_local) + fn = config.fn + ".png" + img = load_image(fn, verbose=False, bayer=config.bayer, + blue_gain=None, red_gain=None, nbits_out=config.nbits_out) + + if img is None: + print(f" Failed to load image from {fn}") + break + + # Histogram analysis + max_val = img.max() + hist, _ = np.histogram(img, bins=range(4097)) + val_4095 = hist[4095] + val_3000_4000 = next((hist[v] for v in range(3000, 4000) if hist[v] > 0), 0) + + print(f" Max: {max_val} | hist[4095]: {val_4095} | first non-zero hist[3000–4000]: {val_3000_4000}") + + # --- Stopping condition --- + if max_val == 4095 and val_4095 <= 3 * val_3000_4000: + print(f" Good exposure at exp = {exp:.6f}s") + break + + # --- Stop if at min exposure and still saturated --- + if exp <= min_exp and max_val == 4095: + print(f" Reached minimum exposure ({exp:.6f}s) and still saturated. Stopping.") + break + + # --- Fine-tuning adjustment --- + if max_val == 4095 and val_4095 <= 20: + print("Fine-tuning: small saturation, slightly reducing exposure") + exp *= 0.95 + # --- General adjustment --- + elif max_val < 4095: + exp *= 1.4 + else: + exp *= 0.8 + + # Clamp to sensor limits + exp = min(max(exp, min_exp), max_exp) + + i += 1 + + print(f"Final exposure used: {exp:.6f}s") + +def auto_expose_image_locally(config): + import copy + import numpy as np + + max_iter = 10 + exp = config.exp + tested_exposures = [] + + min_exp = sensor_dict[config.sensor][SensorParam.MIN_EXPOSURE] + max_exp = sensor_dict[config.sensor][SensorParam.MAX_EXPOSURE] + + i = 0 + while i < max_iter: + print(f"\n[Auto Exposure - Image] Attempt {i+1} | exp = {exp:.6f}s") + tested_exposures.append(exp) + + config_local = copy.deepcopy(config) + config_local.exp = exp + + capture(config_local) + fn = config.fn + ".png" + img = load_image(fn, verbose=False, bayer=config.bayer, + blue_gain=None, red_gain=None, nbits_out=config.nbits_out) + + if img is None: + print(f" Failed to load image from {fn}") + break + + max_val = img.max() + hist, _ = np.histogram(img, bins=range(4097)) + print(f" Max: {max_val} | hist[4095]: {hist[4095]}") + + # Condition 1: max between 3900–4080 + if 3900 <= max_val <= 4080: + print(f" Accepted exposure at exp = {exp:.6f}s (max in range)") + break + + # Condition 2: max == 4095 and contrast is good + if max_val == 4095: + for v in range(1000, 2001): + if hist[v] > 0 and hist[4095] <= 3 * hist[v]: + print(f" Accepted: hist[4095] = {hist[4095]} <= 3 × hist[{v}] = {hist[v]}") + break + else: + # condition not satisfied → decrease exposure + print(" Max = 4095 but low contrast → decreasing exposure") + exp *= 0.85 + exp = max(exp, min_exp) + i += 1 + continue + break + + # 🔼 Increase if too dark + if max_val < 3900: + print(" Too dark → increasing exposure") + exp *= 1.4 + else: + print(" Too bright → decreasing exposure") + exp *= 0.8 + + # Clamp to bounds + exp = min(max(exp, min_exp), max_exp) + i += 1 + + print(f"[Auto Exposure - Image] Final exposure used: {exp:.6f}s") + + + +@hydra.main(version_base=None, config_path="../../configs", config_name="capture") +def main(config): + if getattr(config, "auto_exp_psf", False): + auto_expose_psf_locally(config) + elif getattr(config, "auto_exp_img", False): + auto_expose_image_locally(config) + else: + capture(config) if __name__ == "__main__": main() From 87bf99c349e68b402c51cd176153e146548bfd24 Mon Sep 17 00:00:00 2001 From: mimanerhn <116755181+mimanerhn@users.noreply.github.com> Date: Sun, 6 Jul 2025 20:09:23 +0200 Subject: [PATCH 54/54] Auto RGB --- scripts/measure/analyze_image.py | 78 +++++++++++++++++++++++++++++++- 1 file changed, 77 insertions(+), 1 deletion(-) diff --git a/scripts/measure/analyze_image.py b/scripts/measure/analyze_image.py index fa5e92ac..9d3eaaf5 100644 --- a/scripts/measure/analyze_image.py +++ b/scripts/measure/analyze_image.py @@ -122,8 +122,15 @@ type=str, help="File path for background image, e.g. for screen.", ) +@click.option( + "--gain_search", + type=int, + default=0, + help="Number of auto-gain iterations to run (0 = disable).", +) + def analyze_image( - fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, save, save_auto, nbits, down, back + fp, gamma, width, bayer, lens, lensless, bg, rg, plot_width, save, save_auto, nbits, down, back, gain_search ): assert fp is not None, "Must pass file path." @@ -134,6 +141,13 @@ def analyze_image( else: fig_gray, ax_gray = plt.subplots(ncols=2, nrows=1, num="Grayscale", figsize=(15, 5)) + + if bayer and gain_search > 0 : + return auto_gain_locally( + fp, gamma, width, bayer, lens, lensless, + plot_width, save, save_auto, nbits, down, back, + rg, bg, gain_search + ) # load PSF/image if lensless: img = load_psf( @@ -236,6 +250,68 @@ def analyze_image( else: plt.show() +def fit_gains_by_quantiles(img, nbits=12): + """ + Fit RG/BG so that R and B match G over a dense set of mid-tail percentiles, + with a triangular weighting that emphasizes the shoulder (around 80%). + """ + # 10 percentiles from 0.65 to 0.95 + ps = np.linspace(0.65, 0.95, 10) + perc = (100 * ps).tolist() + + # compute percentiles for each channel + qs = {c: np.percentile(img[...,c], perc) for c in (0,1,2)} + qR, qG, qB = qs[0], qs[1], qs[2] + + # build triangular weights (peak at index 5, i.e. ~80%) + w = np.arange(1, 11) + w = np.minimum(w, w[::-1]).astype(float) # [1,2,3,4,5,5,4,3,2,1] + + wB = w.copy() + wB[-2:] *= 0.5 + + # least-squares with weights: gR = (w·qG·qR)/(w·qR·qR) + numR = np.dot(w * qG, qR) + denR = np.dot(w * qR, qR) + 1e-12 + numB = np.dot(w * qG, qB) + denB = np.dot(w * qB, qB) + 1e-12 + + gR = np.clip(numR/denR, 0.5, 2.5) + gB = np.clip( (numB/denB) * 0.8, 0.5, 2.5 ) + + # clamp to sensible bounds + return gR, gB + +def auto_gain_locally(fp, gamma, width, bayer, lens, lensless, + plot_width, save, save_auto, _nbits, down, back, + rg, bg, gain_search): + """ + One‐shot quantile‐fitting auto‐gain: + • Loads image once with unity gains (or supplied). + • Computes gR,gB by fitting 3 quantiles. + • Invokes final analysis with these gains. + """ + img0 = load_image( + fp, verbose=False, bayer=True, + red_gain=rg or 1.0, blue_gain=bg or 1.0, + nbits_out=12, return_float=False, + downsample=down, back=back + ) + + # fit via many quantiles + gR, gB = fit_gains_by_quantiles(img0) + + click.echo(f"[AutoGain] fitted gains → rg={gR:.3f}, bg={gB:.3f}") + + # final one-shot + analyze_image.callback( + fp=fp, gamma=gamma, width=width, + bayer=bayer, lens=lens, lensless=lensless, + bg=gB, rg=gR, plot_width=plot_width, + save=save, save_auto=save_auto, + nbits=12, down=down, back=back, + gain_search=0 + ) if __name__ == "__main__": analyze_image()

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