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feat: tesseract 单字母识别

This commit is contained in:
raiots 2023-06-02 21:01:11 +08:00
parent 723d5dcb74
commit bf4cd8d028
1 changed files with 14 additions and 2 deletions
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16
ocr.py
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@ -4,7 +4,7 @@ import numpy as np
from pytesseract import Output
# img_source = cv2.VideoCapture(0)
img_source = cv2.imread('./coffee-ocr.jpg')
img_source = cv2.imread('./img.png')
def get_grayscale(image):
@ -51,4 +51,16 @@ def test_performance():
cv2.imshow('img', img)
cv2.waitKey(0)
print(pytesseract.image_to_data(img_source, output_type=Output.DICT)['text'])
# print(pytesseract.image_to_data(img_source, output_type=Output.DICT)['text'])
def identy_char(img_path):
source_img = cv2.imread(img_path)
d = pytesseract.image_to_data(source_img, output_type=Output.DICT, config='--psm 10')
for text in d['text']:
# print(text)
if len(text) == 1 and text.isalpha():
print(text)
if __name__ == "__main__":
identy_char('./img.png')