brew install opencv3 --with-python3 --without-python- note: change the name of the file in /usr/local/opt/opencv3/lib/python3.6/site-packages to cv2.so
pip install tensorflow
Run server.py with:
export FLASK_APP=server.py
python -m flask run.
Visit localhost:5000/bd
Initial picture sent to the service
The result of canny edge detection on the previous image having already undergone
a 3x3 gaussian filter
Hough circle transform applied to the previous canny edge detection
results. The circles found are drawn on the first image for reference.
Then by applying a mask above the coordinates of the circles
and imposing original image on top of the mask, the individual balls
can be extracted for classification.
