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46 lines
1.4 KiB
46 lines
1.4 KiB
import cv2
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import numpy as np
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# NOT WORCK !!!!
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def find_contours_of_cards(image):
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blurred = cv2.GaussianBlur(image, (3, 3), 0)
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T, thresh_img = cv2.threshold(blurred, 215, 255,
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cv2.THRESH_BINARY)
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(cnts, _) = cv2.findContours(thresh_img,
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cv2.RETR_EXTERNAL,
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cv2.CHAIN_APPROX_SIMPLE)
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return cnts
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def find_coordinates_of_cards(cnts, image):
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cards_coordinates = {}
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for i in range(0, len(cnts)):
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x, y, w, h = cv2.boundingRect(cnts[i])
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if w > 20 and h > 30:
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img_crop = image[y - 15:y + h + 15,
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x - 15:x + w + 15]
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cards_name = find_features(img_crop)
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cards_coordinates[cards_name] = (x - 15,
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y - 15, x + w + 15, y + h + 15)
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return cards_coordinates
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cam = cv2.VideoCapture(0)
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while True:
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_, frame = cam.read()
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img = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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img = cv2.GaussianBlur(img, (3, 3), 0)
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# Все больше 215 станет 255, все что меньше 0
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T, thresh_img = cv2.threshold(img, 215, 255, cv2.THRESH_BINARY)
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cv2.imshow("Image", img)
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cv2.imshow("Image with opening", thresh_img)
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#cv2.imshow("Image with closing", res)
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k = cv2.waitKey(2)
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if k == 27:
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cv2.destroyAllWindows()
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break |