openCV with python
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This document provides instructions for installing OpenCV with Python on Windows and macOS systems. It also summarizes 9 example programs that demonstrate various computer vision techniques using OpenCV, such as reading and displaying images, opening video files and webcams, edge detection, line detection, color-based object tracking, contour classification, corner feature matching, and face recognition. The examples and more information are available at a provided GitHub URL. Reference materials for learning OpenCV with Python are also listed.
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- 6. Ex2: open videos • Put the video (test.mp4) and cv_ex2.py in the same folder •
- 8. Ex3: using webCam • Very similar to video open, just change the argument to be 0 •
- 9. Ex4: edges detection • Adopt “canny” method to achieve edges detection •
- 11. Ex5: lines detection • Lines detection using Hough Transform line equation using (r, thita) •
- 13. Ex6: object tracking using color filtering • using color as features : quick and dirty • Detecting something in blue
- 14. • Ex6: object tracking using color filtering
- 15. Ex7: contours classification • blue objects detextion shapes recognition • Rectangle shown in green • multiple-sides-polygon (like circles) shown in red
- 17. Lightening condition invariant? • Color looks different with lightening issue.
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- 22. • Ex8: object tracking using corners’ features
- 23. Ex9: Face recognition/tracking • Download the training model (haarcascade_frontalface_default.xml') and put it in the same folder with the code cv_ex9.py. •
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