From b88a529c7b0fcb03175699b4ae401baf2a61c2ec Mon Sep 17 00:00:00 2001
From: JDhyeok <jdhyeok97@gmail.com>
Date: Sat, 23 Jul 2022 14:57:31 +0900
Subject: [PATCH 1/2] =?UTF-8?q?Docs:=20slowfast=20=EB=B2=88=EC=97=AD=20?=
 =?UTF-8?q?=EB=B0=8F=20PR=20=ED=85=8C=EC=8A=A4=ED=8A=B8?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 facebookresearch_pytorchvideo_slowfast.md | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/facebookresearch_pytorchvideo_slowfast.md b/facebookresearch_pytorchvideo_slowfast.md
index 1f9de94..acd592b 100644
--- a/facebookresearch_pytorchvideo_slowfast.md
+++ b/facebookresearch_pytorchvideo_slowfast.md
@@ -20,7 +20,7 @@ demo-model-link: https://huggingface.co/spaces/pytorch/SlowFast
 
 #### Imports
 
-Load the model: 
+모델 불러오기: 
 
 ```python
 import torch
@@ -28,7 +28,7 @@ import torch
 model = torch.hub.load('facebookresearch/pytorchvideo', 'slowfast_r50', pretrained=True)
 ```
 
-Import remaining functions:
+모듈 불러오기:
 
 ```python
 from typing import Dict
@@ -48,9 +48,10 @@ from pytorchvideo.transforms import (
 ) 
 ```
 
-#### Setup
+#### 설정
 
-Set the model to eval mode and move to desired device.
+<!-- Set the model to eval mode and move to desired device. -->
+모델을 평가 모드로 설정하고 원하는 장치에 할당합니다.
 
 ```python 
 # Set to GPU or CPU
@@ -59,7 +60,8 @@ model = model.eval()
 model = model.to(device)
 ```
 
-Download the id to label mapping for the Kinetics 400 dataset on which the torch hub models were trained. This will be used to get the category label names from the predicted class ids.
+<!-- Download the id to label mapping for the Kinetics 400 dataset on which the torch hub models were trained. This will be used to get the category label names from the predicted class ids. -->
+토치 허브 모델 학습에 사용된 Kinetics 400 데이터셋 ID를 다운로드 합니다. ID는 라벨 매핑에 사용되며, 이는 예측 클래스 ID로부터 카테고리 라벨 이름을 가져오는데 사용됩니다.
 
 ```python
 json_url = "https://dl.fbaipublicfiles.com/pyslowfast/dataset/class_names/kinetics_classnames.json"

From 349a92fef2bdaf2b5bfa9a87515a404dfcea479f Mon Sep 17 00:00:00 2001
From: JDhyeok <jdhyeok97@gmail.com>
Date: Fri, 29 Jul 2022 17:46:41 +0900
Subject: [PATCH 2/2] =?UTF-8?q?Docs:=20=EB=B2=88=EC=97=AD=20=EA=B3=A0?=
 =?UTF-8?q?=EB=8F=84=ED=99=94?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 facebookresearch_pytorchvideo_slowfast.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/facebookresearch_pytorchvideo_slowfast.md b/facebookresearch_pytorchvideo_slowfast.md
index acd592b..fee71df 100644
--- a/facebookresearch_pytorchvideo_slowfast.md
+++ b/facebookresearch_pytorchvideo_slowfast.md
@@ -61,7 +61,7 @@ model = model.to(device)
 ```
 
 <!-- Download the id to label mapping for the Kinetics 400 dataset on which the torch hub models were trained. This will be used to get the category label names from the predicted class ids. -->
-토치 허브 모델 학습에 사용된 Kinetics 400 데이터셋 ID를 다운로드 합니다. ID는 라벨 매핑에 사용되며, 이는 예측 클래스 ID로부터 카테고리 라벨 이름을 가져오는데 사용됩니다.
+토치 허브 모델 학습에 사용된 Kinetics 400 데이터셋에 레이블 매핑(label mapping)을 진행하기 위해 ID를 다운로드 합니다. 이는 예측 클래스 ID로부터 카테고리 레이블 이름을 가져오는데 사용됩니다.
 
 ```python
 json_url = "https://dl.fbaipublicfiles.com/pyslowfast/dataset/class_names/kinetics_classnames.json"