A tool for selecting optimal range (Including dilation and erotion) for HSV
Make sure you have python installed on your system. Instal required dependency by running pip install -r requirements.txt in your terminal or install manually PyQt5 and Opencv-Python
If you're using virtualenv don't forget to source into your venv before proceeding
After configuring your environment, run python3 main.py or if you're on Mac, you can run make run as a shortcut
Open a picture by clicking Open button
Adjust the Hue of both Upper range and Lower range before proceeding to adjust Saturation and Value (As adjusting Hue have the biggest impact)
You can use picture in ./example for training, try to adjust the Upper and Lower range so only the ball is visible
You can also adjust dilation and erotion which usually used along with HSV in opencv computer vision project
docker-compose up- Build docker image
docker build -t myapp .- Run using:
docker run --rm -it -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -u qtuser -v $(pwd):/app -w /app myappI made this project for workshops that I did for Technology Artisan (An organization that I am a part of in college) and therefor you can also find the project there (Technology Artisan Intro to Computer Vision repo under hsv_tool). This fork also have additional feature (Hough transform, line detection etc) which added by my senior (@RicoFerdian) which I wouldn't include here since I want this repo to just focus as ranging tool
Also, as I stated above I made this tool just to introduce my friends (Including myself) to computer vision in a workshop, but this tool proved useful in a lot of ways, especially a project that I did in wheeled soccer robot (Beroda Gandiwa). If anyone looking for a helper tool, but too lazy to create one of their own, you can use this tool, and pull request is also welcome