SkyID
/
opencv_webcam
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
329 Commits 1 Branch 5 Tags 3.8 MiB
Python 55.4%
Jupyter Notebook 42.4%
Dockerfile 1.4%
Shell 0.8%
Go to file
13339479676 31e4b55637 v05 update 2022-01-29 19:13:43 +08:00
tutorial jupyter update 2022-01-26 21:13:33 +08:00
utils v05 plot update 03 2022-01-29 16:54:59 +08:00
v_change readme history version update 02 2022-01-29 09:53:01 +08:00
.dockerignore dockerfile update 2022-01-24 16:22:55 +08:00
.gitignore v05 plot update 03 2022-01-29 16:54:59 +08:00
CodeCheck.md v05 plot update 2022-01-28 22:21:19 +08:00
Dockerfile dockerfile update vim fix 2022-01-17 14:01:13 +08:00
LICENSE Initial commit 2021-12-29 02:05:40 +00:00
README.en.md readme update 2022-01-29 17:27:34 +08:00
README.md readme update 03 2022-01-29 19:00:31 +08:00
__init__.py init update 2022-01-06 11:38:51 +08:00
fonts.sh v05 update 2022-01-28 12:39:38 +08:00
opencv_webcam.py v05 update 2022-01-29 19:08:29 +08:00
requirements.txt requirements update 2022-01-27 09:43:13 +08:00
setup.sh setup bash update 2022-01-26 20:44:44 +08:00
v05.md v05 update 2022-01-29 19:13:43 +08:00

README.en.md

中文简体|English

Simple Icons

Webcam program based on OpenCV, suitable for real-time video frame acquisition, computer vision data collection, etc.

It has the characteristics of convenient installation, simple operation and cross-platform.

code check PyPi Releases Version Docker Jupyter License

🚀Update Trend

💡Project Structure

.
├── opencv_webcam							# 项目名称
│   ├── utils								# 工具包
│   │   ├── args_yaml.py					# 指令管理
│   │   ├── compress.py						# 压缩管理
│   │   ├── frame_opt.py					# 帧保存管理
│   │   ├── hotkey.py						# 热键管理
│   │   ├── fonts_opt.py					# 字体管理
│   │   ├── plot.py							# 作图管理
│   │   ├── __init__.py						# 工具包初始化
│   │   ├── log.py							# 日志管理
│   │   ├── ows_path.py						# 保存路径管理
│   │   └── time_format.py					# 时间格式化
│   ├── v_change							# 版本历史
│   │   ├── v01_change.md					# v0.1版本变更
│   │   ├── v02_change.md					# v0.2版本变更
│   │   ├── v03_change.md					# v0.3版本变更
│   │   └── README.md						# 版本历史说明
│   ├── tutorial							# ows教程
│   │   ├── ows_pypi.md						# ows pypi版教程
│   │   ├── ows_docker.md					# ows docker版教程
│   │   └── ows_jupyter.md					# ows Jupyter版教程
│   ├── CodeCheck.md						# 代码检查
│   ├── Dockerfile							# docker构建文件
│   ├── __init__.py							# 项目初始化
│   ├── LICENSE								# 项目许可
│   ├── opencv_webcam.py					# 脚本主运行文件
│   ├── README.md							# 项目说明
│   ├── README.en.md						# 项目说明（英文版）
│   ├── setup.sh							# 环境安装脚本
│   ├── fonts.sh							# 字体下载脚本
│   └── requirements.txt					# 脚本依赖包

🔥Installation Tutorial

✅ Method 1: Linux Shell Installation (Development Edition)

  • Step 1: Clone the project
git clone https://gitee.com/CV_Lab/opencv_webcam.git # clone project
  • Step 2: Create a virtual environment
# Create a conda virtual environment, taking python 3.8 as an example
conda create -n ows python==3.8 # The virtual environment name is ows
conda activate ows # Activate the virtual environment
  • Step 3: Install the script
pip install -r ./requirements.txt -U # Install OpenCV Webcam Script
  • Steps 2 and 3 can also be performed via setup.sh
bash ./setup.sh

✅ Method 2: pip quick installation (PyPi version)

🔥 opencv-webcam-script PyPi version detailed tutorial

🔑 Easy Tutorial

  • Step 1: Create an ows virtual environment, see Method 1
  • Step 2: Execute the pip command
pip install opencv-webcam-script==0.4.0
  • Step 3: Write a python program
from opencv_webcam.opencv_webcam import webcam_opencv
# Example of a few functions
webcam_opencv() # regular call
webcam_opencv(is_autoSaveFrame=True) # Auto save frames
webcam_opencv(is_autoSaveFrame=True, is_compress=True) # compressed frame

✅ Method 3: docker image installation (docker version)

🔥 opencv-webcam-script docker version detailed tutorial

🔑 Easy Tutorial

  • Step 1: Download the mirror
sudo docker pull zengdockerdocker/opencv-webcam-script:v0.4 # Mirror pull
  • Step 2: Create the container
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
  • Step 3: Run the program
python3 opencv_webcam.py # run script
python3 opencv_webcam.py -isasf # Auto save frames

# 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)

🔥 opencv-webcam-script Jupyter version detailed tutorial

🔑 Easy Tutorial

  • Step 1: Installation
# 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 # install
  • Step 2: Run
!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

⚡Usage

💡 regular call

# Press the q key to exit by default
python opencv_webcam.py

💡 Device Selection

# 多摄像头切换示例，默认为0
python opencv_webcam.py -dev 0
python opencv_webcam.py -dev 1
python opencv_webcam.py -dev 2
# RTSP
python opencv_webcam.py -dev rtsp://username:password@xxx.xxx.xxx

💡 set escape key

# 默认按q键退出
python opencv_webcam.py -q z # 设置z键退出
python opencv_webcam.py -q k # 设置k键退出

💡 Auto save frames

python opencv_webcam.py -isasf

💡 Save frames every n frames

# 每隔10帧保存一次帧
python opencv_webcam.py -isasf -fns 10

💡 Save frames manually

# 默认按a键捕获一帧
python opencv_webcam.py -ishsf

💡 custom capture key

# 设置z键为捕获键，默认为a键
python opencv_webcam.py -ishsf -fck z

💡 Reshape frame size (custom width and height)

# 重塑宽度300 高度200
python opencv_webcam.py -isasf -isrf -rf 300 200 # 自动版
python opencv_webcam.py -ishsf -isrf -rf 300 200 # 手动版

💡 Reshape frame size (custom aspect scaling)

# 宽高缩放比为0.5
python opencv_webcam.py -isasf -isrf -rrf 0.5 # 自动版
python opencv_webcam.py -ishsf -isrf -rrf 0.5 # 手动版

💡 Custom save path

# 设置保存路径，默认保存路径为./WebcamFrame
python opencv_webcam.py -fsd custom_dir -isasf # 以自动版为例

💡 custom frame directory name

# 设置帧目录名称，默认保存路径为frames
python opencv_webcam.py -fdn frames_custom -isasf # 以自动版为例

💡 Custom frame name prefix

# 设置帧图片的前缀名称
python opencv_webcam.py -isasf -fnp webcam

💡 Set the frame save format

# 设置JPG质量为100，默认为95
python opencv_webcam.py -isasf -fss jpg -jq 100
# 设置PNG质量为5，默认为3
python opencv_webcam.py -isasf -fss png -jq 5

💡 set pause button

# 设置w键为暂停键，默认为p键
python opencv_webcam.py -p w # 按任意键继续

💡 Set the number of frames to save

# 设置保存100帧
python opencv_webcam.py -isasf -afn 100

💡 log settings

# 日志文件默认保存在项目根目录，ows.log
python opencv_webcam.py
# 设置日志文件名称及类型，类型包括.log、.txt、.data
python opencv_webcam.py -ln ows02.txt
# 设置日志保存方式，，默认为追加模式
python opencv_webcam.py -lm w # 设置为覆盖模式

💡 video frame compression

# 常规压缩，默认ows.zip（以自动版为例）
python opencv_webcam.py -isasf -isc
# 自定义压缩文件名称
python opencv_webcam.py -isasf -isc -cn ows02
# 自动命名压缩文件
python opencv_webcam.py -isasf -isc -isacn
# 自定义压缩模式，默认为写覆盖
python opencv_webcam.py -isasf -isc -cm a # 追加模式(a模式仅限zip) 注：该指令仅限v0.4
python opencv_webcam.py -isasf -isc -cs tar -cm w:gz # tar压缩

💡 Instruction query

# 查询脚本参数
python opencv_webcam.py --help
指令查询结果 
usage: opencv_webcam.py [-h] [--device DEVICE] [--quit QUIT] [--is_autoSaveFrame] [--is_handSaveFrame] [--is_resizeFrame] [--frame_saveDir FRAME_SAVEDIR] [--frame_dirName FRAME_DIRNAME]
                        [--frame_nSave FRAME_NSAVE] [--frame_capKey FRAME_CAPKEY] [--resize_frame RESIZE_FRAME [RESIZE_FRAME ...]] [--resizeRatio_frame RESIZERATIO_FRAME]
                        [--frame_namePrefix FRAME_NAMEPREFIX] [--frame_saveStyle FRAME_SAVESTYLE] [--jpg_quality JPG_QUALITY] [--png_quality PNG_QUALITY] [--pause PAUSE]
                        [--auto_frameNum AUTO_FRAMENUM] [--logName LOGNAME] [--logMode LOGMODE] [--is_compress] [--compressStyle COMPRESSSTYLE] [--is_autoCompressName]
                        [--compressName COMPRESSNAME] [--compressMode COMPRESSMODE]

OpenCV Webcam Script v0.4

optional arguments:
  -h, --help            show this help message and exit
  --device DEVICE, -dev DEVICE
                        device index for webcam, 0 or rtsp
  --quit QUIT, -q QUIT  quit key for webcam
  --is_autoSaveFrame, -isasf
                        is auto save frame
  --is_handSaveFrame, -ishsf
                        is hand save frame
  --is_resizeFrame, -isrf
                        is resize frame
  --frame_saveDir FRAME_SAVEDIR, -fsd FRAME_SAVEDIR
                        save frame dir
  --frame_dirName FRAME_DIRNAME, -fdn FRAME_DIRNAME
                        save frame dir name
  --frame_nSave FRAME_NSAVE, -fns FRAME_NSAVE
                        n frames save a frame (auto save frame)
  --frame_capKey FRAME_CAPKEY, -fck FRAME_CAPKEY
                        frame capture key (hand save frame)
  --resize_frame RESIZE_FRAME [RESIZE_FRAME ...], -rf RESIZE_FRAME [RESIZE_FRAME ...]
                        resize frame save
  --resizeRatio_frame RESIZERATIO_FRAME, -rrf RESIZERATIO_FRAME
                        resize ratio frame save
  --frame_namePrefix FRAME_NAMEPREFIX, -fnp FRAME_NAMEPREFIX
                        frame name prefix
  --frame_saveStyle FRAME_SAVESTYLE, -fss FRAME_SAVESTYLE
                        frame save style
  --jpg_quality JPG_QUALITY, -jq JPG_QUALITY
                        frame save jpg quality (0-100) default 95
  --png_quality PNG_QUALITY, -pq PNG_QUALITY
                        frame save jpg quality (0-9) default 3
  --pause PAUSE, -p PAUSE
                        webcam pause
  --auto_frameNum AUTO_FRAMENUM, -afn AUTO_FRAMENUM
                        auto save number of frames
  --logName LOGNAME, -ln LOGNAME
                        log save name
  --logMode LOGMODE, -lm LOGMODE
                        log write mode
  --is_compress, -isc   is compress file
  --compressStyle COMPRESSSTYLE, -cs COMPRESSSTYLE
                        compress style
  --is_autoCompressName, -isacn
                        is auto compress name
  --compressName COMPRESSNAME, -cn COMPRESSNAME
                        compress save name
  --compressMode COMPRESSMODE, -cm COMPRESSMODE
                        compress save mode, tar w:gz