Trying out the CV_Chess project from https://classes.engineering.wustl.edu/ese205/core/index.php?title=CV_Chess Fork of it at:
git clone https://github.com/WolfgangFahl/ESE205-CVChess/ ./installOpenCV ./install
./test ============================= test session starts ============================== platform linux -- Python 3.7.3, pytest-5.2.1, py-1.8.0, pluggy-0.13.0 rootdir: /home/wf/source/python/ESE205-CVChess collected 2 items test_camera.py . [ 50%] test_webcam.py . [100%] ============================== 2 passed in 3.87s ===============================
# see https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_gui/py_video_display/py_video_display.html import numpy as np import cv2 cap = cv2.VideoCapture(0) while(True): # Capture frame-by-frame ret, frame = cap.read() # Our operations on the frame come here #gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # Display the resulting frame cv2.imshow('Camera',frame) if cv2.waitKey(1) & 0xFF == ord('q'): break # When everything done, release the capture cap.release() cv2.destroyAllWindows()
start the above code - stop by pressing 'q'
The project was an effort of some 200 hours See also https://classes.engineering.wustl.edu/ese205/core/index.php?title=CV_Chess_Logs
Click classes to view source code
- The board detection algorithm does not make sure that squares are really squares.
- The algorithm has a strict flow which you must follow