48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
import cv2
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import pytesseract
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import numpy as np
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from pytesseract import Output
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img_source = cv2.imread('images/coffee.jpg')
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def get_grayscale(image):
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return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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def thresholding(image):
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return cv2.threshold(image, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
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def opening(image):
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kernel = np.ones((5, 5), np.uint8)
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return cv2.morphologyEx(image, cv2.MORPH_OPEN, kernel)
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def canny(image):
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return cv2.Canny(image, 100, 200)
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gray = get_grayscale(img_source)
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thresh = thresholding(gray)
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opening = opening(gray)
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canny = canny(gray)
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for img in [img_source, gray, thresh, opening, canny]:
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d = pytesseract.image_to_data(img, output_type=Output.DICT)
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n_boxes = len(d['text'])
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# back to RGB
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if len(img.shape) == 2:
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img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB)
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for i in range(n_boxes):
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if int(d['conf'][i]) > 60:
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(text, x, y, w, h) = (d['text'][i], d['left'][i], d['top'][i], d['width'][i], d['height'][i])
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# don't show empty text
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if text and text.strip() != "":
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img = cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
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img = cv2.putText(img, text, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 1.2, (0, 255, 0), 3)
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cv2.imshow('img', img)
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cv2.waitKey(0) |