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raiots 2023-05-30 22:10:33 +08:00
parent 91b2eb58f9
commit f80c02e923
2 changed files with 30 additions and 24 deletions
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18
ocr.py
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@ -3,7 +3,8 @@ import pytesseract
import numpy as np
from pytesseract import Output
img_source = cv2.imread('images/coffee.jpg')
# img_source = cv2.VideoCapture(0)
img_source = cv2.imread('./coffee-ocr.jpg')
def get_grayscale(image):
@ -23,13 +24,16 @@ def canny(image):
return cv2.Canny(image, 100, 200)
gray = get_grayscale(img_source)
thresh = thresholding(gray)
opening = opening(gray)
canny = canny(gray)
def test_performance():
gray = get_grayscale(img_source)
thresh = thresholding(gray)
opening = opening(gray)
canny = canny(gray)
for img in [img_source, gray, thresh, opening, canny]:
for img in [img_source, gray, thresh, opening, canny]:
d = pytesseract.image_to_data(img, output_type=Output.DICT)
print(d.keys())
n_boxes = len(d['text'])
# back to RGB
@ -46,3 +50,5 @@ for img in [img_source, gray, thresh, opening, canny]:
cv2.imshow('img', img)
cv2.waitKey(0)
print(pytesseract.image_to_data(img_source, output_type=Output.DICT)['text'])