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Hello! Thank you for sharing PaddlePaddleOCR, I am trying to read a text from a CCTV surveillance video footage. However, I encounter some characters that are black and background is black, resulting in a poor performance of the OCR model. The Image format is in PNG.
The results by the model are: 02+60023-We1-1249:05
I have tried some pre-processing methods such as changing of grayscale and median blurring and the results slightly improve.
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
median = cv2.medianBlur(gray, 7)
The results by the model are: 09-20023Wed-1249:05
are there any suggestions to improve on the results?
The text was updated successfully, but these errors were encountered:
Hello! Thank you for sharing PaddlePaddleOCR, I am trying to read a text from a CCTV surveillance video footage. However, I encounter some characters that are black and background is black, resulting in a poor performance of the OCR model. The Image format is in PNG.
The results by the model are: 02+60023-We1-1249:05
I have tried some pre-processing methods such as changing of grayscale and median blurring and the results slightly improve.
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
median = cv2.medianBlur(gray, 7)
The results by the model are: 09-20023Wed-1249:05
are there any suggestions to improve on the results?
The text was updated successfully, but these errors were encountered: