05823f216d | ||
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tutorial | ||
utils | ||
v_change | ||
.dockerignore | ||
.gitignore | ||
CodeCheck.md | ||
Dockerfile | ||
LICENSE | ||
README.en.md | ||
README.md | ||
__init__.py | ||
fonts.sh | ||
opencv_webcam.py | ||
requirements.txt | ||
setup.sh | ||
v05.md |
README.en.md
中文简体|English
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.
🚀Update Trend
2022-01-24
⚡ opencv-webcam-script v0.4 release officially launched2022-01-24
⚡ opencv-webcam-script v0.4 docker version officially launched2022-01-24
⚡ opencv-webcam-script v0.4.0 PyPi versionofficially launched2022-01-24
⚡ opencv-webcam-script v0.4 Jupyter versionofficially launched- ⚡ opencv-webcam-script v0.3
- ⚡ opencv-webcam-script v0.2
- ⚡ opencv-webcam-script v0.1
💡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
# Multi-camera switching example, the default is 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
# By default press the q key to exit
python opencv_webcam.py -q z # set z key to exit
python opencv_webcam.py -q k # set k key to exit
💡 Auto save frames
python opencv_webcam.py -isasf
💡 Save frames every n frames
# save a frame every 10 frames
python opencv_webcam.py -isasf -fns 10
💡 Save frames manually
# By default press a key to capture a frame
python opencv_webcam.py -ishsf
💡 custom capture key
# Set the z key as the capture key, the default is the a key
python opencv_webcam.py -ishsf -fck z
💡 Reshape frame size (custom width and height)
# reshape width 300 height 200
python opencv_webcam.py -isasf -isrf -rf 300 200 # Automatic version
python opencv_webcam.py -ishsf -isrf -rf 300 200 # Manual version
💡 Reshape frame size (custom aspect scaling)
# The aspect ratio is 0.5
python opencv_webcam.py -isasf -isrf -rrf 0.5 # Automatic version
python opencv_webcam.py -ishsf -isrf -rrf 0.5 # Manual version
💡 Custom save path
# Set the save path, the default save path is ./WebcamFrame
python opencv_webcam.py -fsd custom_dir -isasf # Take the automatic version as an example
💡 custom frame directory name
# Set the frame directory name, the default save path is frames
python opencv_webcam.py -fdn frames_custom -isasf # Take the automatic version as an example
💡 Custom frame name prefix
# Set the prefix name of the frame image
python opencv_webcam.py -isasf -fnp webcam
💡 Set the frame save format
# Set JPG quality to 100, default to 95
python opencv_webcam.py -isasf -fss jpg -jq 100
# Set PNG quality to 5, default is 3
python opencv_webcam.py -isasf -fss png -jq 5
💡 set pause button
# Set the w key as the pause key, the default is the p key
python opencv_webcam.py -p w # Press any key to continue
💡 Set the number of frames to save
# Set to save 100 frames
python opencv_webcam.py -isasf -afn 100
💡 log settings
# The log file is saved in the project root directory by default, ows.log
python opencv_webcam.py
# Set the log file name and type, including .log, .txt, .data
python opencv_webcam.py -ln ows02.txt
# Set the log saving method, the default is append mode
python opencv_webcam.py -lm w # set to overlay mode
💡 video frame compression
# Regular compression, default ows.zip (take the automatic version as an example)
python opencv_webcam.py -isasf -isc
# Customize the compressed file name
python opencv_webcam.py -isasf -isc -cn ows02
# Automatically name archives
python opencv_webcam.py -isasf -isc -isacn
# Custom compression mode, default is write overwrite
python opencv_webcam.py -isasf -isc -cm a # Append mode (a mode is only for zip) Note: This command is only available in v0.4
python opencv_webcam.py -isasf -isc -cs tar -cm w:gz # tar compression
💡 Instruction query
# query script parameters
python opencv_webcam.py --help
Command query result
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