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What I did

• Downloaded the opencv repo and setup the digit recognition sample (digits.py and digits_video.py)
• Modify digits.py to modify line 44 (this prevents "ValueError: too many values to unpack" error)

contours, heirs = cv.findContours( bin.copy(), cv.RETR_CCOMP, cv.CHAIN_APPROX_SIMPLE)

with

_, contours, heirs = cv.findContours( bin.copy(), cv.RETR_CCOMP, cv.CHAIN_APPROX_SIMPLE)

• Run digits.py and then run digits_video.py

Results

digits_video.py has no trouble isolating and deskewing the hand written digits but the prediction allows resolves to 0 (seen in blue above each green square). The only modification I've made to the code is the one line mentioned above in digits.py .

System I'm testing this on OSX Sierra 10.12.6 with python3 and opencv 3.4.3

What I did

• Downloaded the opencv repo and setup the digit recognition sample (digits.py and digits_video.py)
• Modify digits.py to modify line 44 (this prevents "ValueError: too many values to unpack" error)

contours, heirs = cv.findContours( bin.copy(), cv.RETR_CCOMP, cv.CHAIN_APPROX_SIMPLE)

with

_, contours, heirs = cv.findContours( bin.copy(), cv.RETR_CCOMP, cv.CHAIN_APPROX_SIMPLE)

• Run digits.py and then run digits_video.py

Results

digits_video.py has no trouble isolating and deskewing the hand written digits but the prediction allows resolves to 0 (seen in blue above each green square). The only modification I've made to the code is the one line mentioned above in digits.py .

System I'm testing this on OSX Sierra 10.12.6 with python3 and opencv 3.4.3