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opencv_webcam
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readme english update 02

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@ -130,28 +130,28 @@ webcam_opencv(is_autoSaveFrame=True, is_compress=True) # compressed frame
#### 🔑 Easy Tutorial
- 第一步：下载镜像
- Step 1: Download the mirror
```shell
sudo docker pull zengdockerdocker/opencv-webcam-script:v0.4 # 镜像拉取
sudo docker pull zengdockerdocker/opencv-webcam-script:v0.4 # Mirror pull
```
- 第二步：创建容器
- Step 2: Create the container
```shell
xhost +local:root # 允许root用户访问正在运行的X服务器（重要）
sudo docker run --name=ows --ipc=host -it -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=unix$DISPLAY --device=/dev/video0:/dev/video0 zengdockerdocker/opencv-webcam-script:v0.4 # 创建名称为ows的容器
xhost +local:root # Allow root user access to running X server (important)
sudo docker run --name=ows --ipc=host -it -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=unix$DISPLAY --device=/dev/video0:/dev/video0 zengdockerdocker/opencv-webcam-script:v0.4 # Create a container named ows
```
- 第三步：运行程序
- Step 3: Run the program
```shell
python3 opencv_webcam.py # 运行脚本程序
python3 opencv_webcam.py -isasf # 自动保存帧
python3 opencv_webcam.py # run script
python3 opencv_webcam.py -isasf # Auto save frames
# 获取docker帧数据到本机
sudo docker cp 容器名称:容器目录 本机宿主目录
sudo docker cp ows:/usr/src/app/WebcamFrame /home/用户名 # 举例
# Get docker frame data to this machine
sudo docker cp Container name: container directory local host directory
sudo docker cp ows:/usr/src/app/WebcamFrame /home/username # Example
```
### ✅ Method 4: Jupyter installation (Jupyter version)
@ -160,22 +160,22 @@ sudo docker cp ows:/usr/src/app/WebcamFrame /home/用户名 # 举例
#### 🔑 Easy Tutorial
- 第一步：安装
- Step 1: Installation
```shell
# 首先手动创建虚拟环境
# conda create -n ows python==3.8 # 虚拟环境名称为ows
# conda activate ows # 激活虚拟环境
!git clone https://gitee.com/CV_Lab/opencv_webcam.git # 克隆
# First create a virtual environment manually
# conda create -n ows python==3.8 # The virtual environment name is ows
# conda activate ows # Activate the virtual environment
!git clone https://gitee.com/CV_Lab/opencv_webcam.git # clone
%cd opencv_webcam
%pip install -qr requirements.txt -U # 安装
%pip install -qr requirements.txt -U # install
```
- 第二步：运行
- Step 2: Run
```shell
!python opencv_webcam.py # 默认按q键退出
!python opencv_webcam.py -isasf # 视频帧自动保存
!python opencv_webcam.py # Press the q key to exit by default
!python opencv_webcam.py -isasf # Automatically save video frames
```
**Note: Jupyter version of ows program can run unit instructions through `Ctrl+Enter`**
@ -184,16 +184,16 @@ sudo docker cp ows:/usr/src/app/WebcamFrame /home/用户名 # 举例
<h2 align="center">⚡Usage</h2>
#### 💡 常规调用
#### 💡 regular call
```shell
# 默认按q键退出
# Press the q key to exit by default
python opencv_webcam.py
```
#### 💡 设备选择
#### 💡 Device Selection
```shell
# 多摄像头切换示例，默认为0
@ -206,7 +206,7 @@ python opencv_webcam.py -dev rtsp://username:password@xxx.xxx.xxx
#### 💡 设置退出键
#### 💡 set escape key
```shell
# 默认按q键退出
@ -216,7 +216,7 @@ python opencv_webcam.py -q k # 设置k键退出
#### 💡 自动保存帧
#### 💡 Auto save frames
```shell
python opencv_webcam.py -isasf
@ -224,7 +224,7 @@ python opencv_webcam.py -isasf
#### 💡 每隔n帧保存一次帧
#### 💡 Save frames every n frames
```shell
# 每隔10帧保存一次帧
@ -233,7 +233,7 @@ python opencv_webcam.py -isasf -fns 10
#### 💡 手动保存帧
#### 💡 Save frames manually
```shell
# 默认按a键捕获一帧
@ -242,7 +242,7 @@ python opencv_webcam.py -ishsf
#### 💡 自定义捕获键
#### 💡 custom capture key
```shell
# 设置z键为捕获键，默认为a键
@ -251,7 +251,7 @@ python opencv_webcam.py -ishsf -fck z
#### 💡 重塑帧尺寸（自定义宽高）
#### 💡 Reshape frame size (custom width and height)
```shell
# 重塑宽度300 高度200
@ -261,7 +261,7 @@ python opencv_webcam.py -ishsf -isrf -rf 300 200 # 手动版
#### 💡 重塑帧尺寸（自定义宽高缩放比）
#### 💡 Reshape frame size (custom aspect scaling)
```shell
# 宽高缩放比为0.5
@ -271,7 +271,7 @@ python opencv_webcam.py -ishsf -isrf -rrf 0.5 # 手动版
#### 💡 自定义保存路径
#### 💡 Custom save path
```shell
# 设置保存路径，默认保存路径为./WebcamFrame
@ -280,7 +280,7 @@ python opencv_webcam.py -fsd custom_dir -isasf # 以自动版为例
#### 💡 自定义帧目录名称
#### 💡 custom frame directory name
```shell
# 设置帧目录名称，默认保存路径为frames
@ -290,7 +290,7 @@ python opencv_webcam.py -fdn frames_custom -isasf # 以自动版为例
#### 💡 自定义帧名前缀
#### 💡 Custom frame name prefix
```shell
# 设置帧图片的前缀名称
@ -299,7 +299,7 @@ python opencv_webcam.py -isasf -fnp webcam
#### 💡 设置帧保存格式
#### 💡 Set the frame save format
```shell
# 设置JPG质量为100，默认为95
@ -310,7 +310,7 @@ python opencv_webcam.py -isasf -fss png -jq 5
#### 💡 设置暂停键
#### 💡 set pause button
```shell
# 设置w键为暂停键，默认为p键
@ -319,7 +319,7 @@ python opencv_webcam.py -p w # 按任意键继续
#### 💡 设置保存帧数
#### 💡 Set the number of frames to save
```shell
# 设置保存100帧
@ -328,7 +328,7 @@ python opencv_webcam.py -isasf -afn 100
#### 💡 日志设置
#### 💡 log settings
```shell
# 日志文件默认保存在项目根目录，ows.log
@ -341,7 +341,7 @@ python opencv_webcam.py -lm w # 设置为覆盖模式
#### 💡 视频帧压缩
#### 💡 video frame compression
```shell
# 常规压缩，默认ows.zip（以自动版为例）
@ -357,7 +357,7 @@ python opencv_webcam.py -isasf -isc -cs tar -cm w:gz # tar压缩
#### 💡 指令查询
#### 💡 Instruction query
```shell
# 查询脚本参数