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Chris Maunder
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Working on setuptools issues with CodeProject.AI SDK
1 parent c6af53d commit e67c49b

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+175
-159
lines changed

‎devops/scripts/utils.sh‎

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@@ -1338,12 +1338,12 @@ function setupPython () {
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writeLine 'done' $color_success
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#hack
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if [ "$os" = "linux" ]; then
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#if [ "$os" = "linux" ]; then
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write 'Installing updated setuptools in venv...' $color_primary
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"$venvPythonCmdPath" -m pip install -U setuptools >/dev/null 2>/dev/null &
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spin $!
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writeLine "done" $color_success
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fi
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#fi
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return 0
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}

‎modules/ObjectDetectionYOLOv5-6.2/modulesettings.macos.arm64.json‎

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"Modules": {
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"ObjectDetectionYOLOv5-6.2": {
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"LaunchSettings": {
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"Runtime": "python3.9"
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},
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"EnvironmentVariables": {
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// fallback to cpu if an operation missing
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"PYTORCH_ENABLE_MPS_FALLBACK": "1"

‎modules/ObjectDetectionYOLOv5-6.2/requirements.jetson.txt‎

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#! Python3.6
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# Requirements for Nvidia Jetson (Jetson is linux,Arm64, and has CUDA installed)
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Pandas # Installing Pandas, a data analysis / data manipulation tool
5-
CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
6-
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
7-
Pillow # Installing Pillow, a Python Image Library
8-
SciPy # Installing SciPy, a library for mathematics, science, and engineering
9-
PyYAML # Installing PyYAML, a library for reading configuration files
4+
Pandas # Installing Pandas, a data analysis / data manipulation tool
5+
CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
6+
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
7+
Pillow # Installing Pillow, a Python Image Library
8+
SciPy # Installing SciPy, a library for mathematics, science, and engineering
9+
PyYAML # Installing PyYAML, a library for reading configuration files
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# Specific versions that match the models we're using. This requires <= Python 3.9. Any
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# version higher can use Python 3.10
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# Torch==1.10.2 # Installing Torch, for Tensor computation and Deep neural networks
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# TorchVision==0.11.3 # Installing TorchVision, for Computer Vision based AI
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# Torch==1.10.2 # Installing Torch, for Tensor computation and Deep neural networks
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# TorchVision==0.11.3 # Installing TorchVision, for Computer Vision based AI
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# ..except we need to be even more specific:
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# https://discuss.pytorch.org/t/failed-to-load-image-python-extension-could-not-find-module/140278/15
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# torch==1.10.0
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# torchvision==0.10.0
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# torch==1.10.0 # Installing Torch, for Tensor computation and Deep neural networks
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# torchvision==0.10.0 # Installing TorchVision, for Computer Vision based AI
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# the Ultralytics Yolov5 package
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yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
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yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
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# We won't install Torch here at all. It will be done via wheel install in the setup script
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TorchVision # Installing TorchVision, for Computer Vision based AI
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TorchVision # Installing TorchVision, for Computer Vision based AI
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# We need this, but we don't need this.
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Seaborn # Installing Seaborn, a data visualization library based on matplotlib
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Seaborn # Installing Seaborn, a data visualization library based on matplotlib
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# setuptools # Installing setuptools for managing Python packages
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CodeProject-AI-SDK # Installing the CodeProject.AI SDK
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# last line empty.

‎modules/ObjectDetectionYOLOv5-6.2/requirements.linux.arm64.txt‎

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@@ -21,6 +21,7 @@ yolov5==6.2.3 # Installing Ultralytics YoloV5 package for obje
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# We need this, but we don't need this.
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Seaborn # Installing Seaborn, a data visualization library based on matplotlib
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# setuptools # Installing setuptools for managing Python packages
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CodeProject-AI-SDK # Installing the CodeProject.AI SDK
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# last line empty.

‎modules/ObjectDetectionYOLOv5-6.2/requirements.linux.cuda.txt‎

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# General CUDA requirements for Linux (fallback if other CUDA-specific files aren't eligible)
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Pandas # Installing Pandas, a data analysis / data manipulation tool
6-
CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
7-
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
8-
Pillow<10.0.0 # Installing Pillow, a Python Image Library
9-
SciPy # Installing SciPy, a library for mathematics, science, and engineering
10-
PyYAML # Installing PyYAML, a library for reading configuration files
5+
Pandas # Installing Pandas, a data analysis / data manipulation tool
6+
CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
7+
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
8+
Pillow<10.0.0 # Installing Pillow, a Python Image Library
9+
SciPy # Installing SciPy, a library for mathematics, science, and engineering
10+
PyYAML # Installing PyYAML, a library for reading configuration files
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## For CUDA 11.7 (NOT torch 2.0+)
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--find-links https://download.pytorch.org/whl/torch_stable.html
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torch==1.13.0+cu117 # Installing PyTorch, an open source machine learning framework
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torch==1.13.0+cu117 # Installing PyTorch, an open source machine learning framework
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--find-links https://download.pytorch.org/whl/torch_stable.html
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torchvision==0.14.0+cu117 # Installing TorchVision, for working with computer vision models
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torchvision==0.14.0+cu117 # Installing TorchVision, for working with computer vision models
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yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
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yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
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# We need this, but we don't need this.
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Seaborn # Installing Seaborn, a data visualization library based on matplotlib
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Seaborn # Installing Seaborn, a data visualization library based on matplotlib
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# setuptools # Installing setuptools for managing Python packages
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CodeProject-AI-SDK # Installing the CodeProject.AI SDK
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# last line empty..

‎modules/ObjectDetectionYOLOv5-6.2/requirements.linux.cuda11.txt‎

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# CUDA requirements for Linux with CUDA 11.7+ installed
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5-
Pandas # Installing Pandas, a data analysis / data manipulation tool
6-
CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
7-
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
8-
Pillow<10.0.0 # Installing Pillow, a Python Image Library
9-
SciPy # Installing SciPy, a library for mathematics, science, and engineering
10-
PyYAML # Installing PyYAML, a library for reading configuration files
5+
Pandas # Installing Pandas, a data analysis / data manipulation tool
6+
CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
7+
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
8+
Pillow<10.0.0 # Installing Pillow, a Python Image Library
9+
SciPy # Installing SciPy, a library for mathematics, science, and engineering
10+
PyYAML # Installing PyYAML, a library for reading configuration files
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## For CUDA 11.7 (NOT torch 2.0+)
1313
--find-links https://download.pytorch.org/whl/torch_stable.html
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torch==1.13.0+cu117 # Installing PyTorch, an open source machine learning framework
14+
torch==1.13.0+cu117 # Installing PyTorch, an open source machine learning framework
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--find-links https://download.pytorch.org/whl/torch_stable.html
16-
torchvision==0.14.0+cu117 # Installing TorchVision, for working with computer vision models
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torchvision==0.14.0+cu117 # Installing TorchVision, for working with computer vision models
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yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
18+
yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
1919

2020
# We need this, but we don't need this.
21-
Seaborn # Installing Seaborn, a data visualization library based on matplotlib
21+
Seaborn # Installing Seaborn, a data visualization library based on matplotlib
2222

23+
# setuptools # Installing setuptools for managing Python packages
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CodeProject-AI-SDK # Installing the CodeProject.AI SDK
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# last line empty..

‎modules/ObjectDetectionYOLOv5-6.2/requirements.linux.cuda11_5.txt‎

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# CUDA requirements for Linux with CUDA 11.5 installed (default for WSL)
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Pandas # Installing Pandas, a data analysis / data manipulation tool
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CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
7-
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
8-
Pillow<10.0.0 # Installing Pillow, a Python Image Library
9-
SciPy # Installing SciPy, a library for mathematics, science, and engineering
10-
PyYAML # Installing PyYAML, a library for reading configuration files
5+
Pandas # Installing Pandas, a data analysis / data manipulation tool
6+
CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
7+
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
8+
Pillow<10.0.0 # Installing Pillow, a Python Image Library
9+
SciPy # Installing SciPy, a library for mathematics, science, and engineering
10+
PyYAML # Installing PyYAML, a library for reading configuration files
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## For CUDA 11.3 (will work in CUDA 11.5)
1313
--find-links https://download.pytorch.org/whl/torch_stable.html
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torch==1.12.1+cu113 # Installing PyTorch, an open source machine learning framework
14+
torch==1.12.1+cu113 # Installing PyTorch, an open source machine learning framework
1515
--find-links https://download.pytorch.org/whl/torch_stable.html
16-
torchvision==0.13.1+cu113 # Installing TorchVision, for working with computer vision models
16+
torchvision==0.13.1+cu113 # Installing TorchVision, for working with computer vision models
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18-
yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
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yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
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2020
# We need this, but we don't need this.
21-
Seaborn # Installing Seaborn, a data visualization library based on matplotlib
21+
Seaborn # Installing Seaborn, a data visualization library based on matplotlib
2222

23+
# setuptools # Installing setuptools for managing Python packages
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CodeProject-AI-SDK # Installing the CodeProject.AI SDK
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# last line empty..

‎modules/ObjectDetectionYOLOv5-6.2/requirements.linux.cuda12.txt‎

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# CUDA requirements for Linux with CUDA 12 installed
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Pandas # Installing Pandas, a data analysis / data manipulation tool
6-
CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
7-
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
8-
Pillow<10.0.0 # Installing Pillow, a Python Image Library
9-
SciPy # Installing SciPy, a library for mathematics, science, and engineering
10-
PyYAML # Installing PyYAML, a library for reading configuration files
5+
Pandas # Installing Pandas, a data analysis / data manipulation tool
6+
CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
7+
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
8+
Pillow<10.0.0 # Installing Pillow, a Python Image Library
9+
SciPy # Installing SciPy, a library for mathematics, science, and engineering
10+
PyYAML # Installing PyYAML, a library for reading configuration files
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## For CUDA 12.1 (nightly)
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# --pre
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# --index-url https://download.pytorch.org/whl/nightly/cu121
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# torch # Installing PyTorch, an open source machine learning framework
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# torch # Installing PyTorch, an open source machine learning framework
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# --pre
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# --index-url https://download.pytorch.org/whl/nightly/cu121
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# torchvision # Installing TorchVision, for working with computer vision models
18+
# torchvision # Installing TorchVision, for working with computer vision models
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2020
## For CUDA 11.7 (will work in CUDA 12)
2121
--extra-index-url https://download.pytorch.org/whl/cu117
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torch==1.13.1+cu117 # Installing PyTorch, an open source machine learning framework
22+
torch==1.13.1+cu117 # Installing PyTorch, an open source machine learning framework
2323
--extra-index-url https://download.pytorch.org/whl/cu117
24-
torchvision==0.14.1+cu117 # Installing TorchVision, for working with computer vision models
24+
torchvision==0.14.1+cu117 # Installing TorchVision, for working with computer vision models
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yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
26+
yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
2727

2828
# We need this, but we don't need this.
29-
Seaborn # Installing Seaborn, a data visualization library based on matplotlib
29+
Seaborn # Installing Seaborn, a data visualization library based on matplotlib
3030

31+
# setuptools # Installing setuptools for managing Python packages
3132
CodeProject-AI-SDK # Installing the CodeProject.AI SDK
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# last line empty..

‎modules/ObjectDetectionYOLOv5-6.2/requirements.linux.rocm.txt‎

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#! Python3.7
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Pandas # Installing Pandas, a data analysis / data manipulation tool
4-
CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
5-
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
6-
Pillow<10.0.0 # Installing Pillow, a Python Image Library
7-
SciPy # Installing SciPy, a library for mathematics, science, and engineering
8-
PyYAML # Installing PyYAML, a library for reading configuration files
3+
Pandas # Installing Pandas, a data analysis / data manipulation tool
4+
CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models
5+
OpenCV-Python # Installing OpenCV, the Open source Computer Vision library
6+
Pillow<10.0.0 # Installing Pillow, a Python Image Library
7+
SciPy # Installing SciPy, a library for mathematics, science, and engineering
8+
PyYAML # Installing PyYAML, a library for reading configuration files
99

1010
--extra-index-url https://download.pytorch.org/whl/rocm5.2
11-
torch==1.13.1+rocm5.2 # Installing PyTorch, an open source machine learning framework
11+
torch==1.13.1+rocm5.2 # Installing PyTorch, an open source machine learning framework
1212
--extra-index-url https://download.pytorch.org/whl/rocm5.2
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torchvision==0.14.1+rocm5.2 # Installing TorchVision, for working with computer vision models
13+
torchvision==0.14.1+rocm5.2 # Installing TorchVision, for working with computer vision models
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yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
15+
yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
1616

1717
# We need this, but we don't need this.
18-
Seaborn # Installing Seaborn, a data visualization library based on matplotlib
18+
Seaborn # Installing Seaborn, a data visualization library based on matplotlib
1919

20+
# setuptools # Installing setuptools for managing Python packages
2021
CodeProject-AI-SDK # Installing the CodeProject.AI SDK
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# last line empty..

‎modules/ObjectDetectionYOLOv5-6.2/requirements.linux.txt‎

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# torch-directml # Installing the PyTorch DirectML plugin
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--extra-index-url https://download.pytorch.org/whl/cpu
14-
Torch # Installing Torch, for Tensor computation and Deep neural networks
14+
Torch # Installing Torch, for Tensor computation and Deep neural networks
1515
--extra-index-url https://download.pytorch.org/whl/cpu
16-
TorchVision # Installing TorchVision, for Computer Vision based AI
16+
TorchVision # Installing TorchVision, for Computer Vision based AI
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# We'll lock down to Torch 1.X, CPU-only to play it safe
1919
#--extra-index-url https://download.pytorch.org/whl/cpu
20-
#torch==1.13.1+cpu # Installing Torch, for Tensor computation and Deep neural networks
20+
#torch==1.13.1+cpu `# Installing Torch, for Tensor computation and Deep neural networks
2121
#--extra-index-url https://download.pytorch.org/whl/cpu
22-
#torchvision==0.14.1+cpu # Installing TorchVision, for Computer Vision based AI
22+
#torchvision==0.14.1+cpu `# Installing TorchVision, for Computer Vision based AI
2323

2424
yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images
2525

2626
# We need this, but we don't need this.
2727
Seaborn # Installing Seaborn, a data visualization library based on matplotlib
2828

29+
# setuptools # Installing setuptools for managing Python packages
2930
CodeProject-AI-SDK # Installing the CodeProject.AI SDK
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# last line empty.

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