44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
import cv2
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import numpy as np
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import os
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def combine_images (bg, fg, mask) :
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fk = cv2.bitwise_or(fg, fg, mask=mask)
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mask = cv2.bitwise_not(mask)
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bk = cv2.bitwise_or(bg, bg, mask=mask)
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return cv2.bitwise_or(fk, bk)
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username = os.getlogin()
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#outer template
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outer = cv2.imread(f"/home/{username}/Desktop/running/shot1-scans/image-2-normal.png")
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#inner image
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inner = cv2.imread(f"/home/{username}/Desktop/frame.jpg")
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rows, cols, ch = outer.shape
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ir, ic, ich = inner.shape
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print(f'{cols}x{rows}')
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print(f'{ic}x{ir}')
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# destination ponts on outer image
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pts1 = np.float32([[1445, 11429], [1445, 6832], [5009, 11429]])
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# corresponding points on inner image
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pts2 = np.float32([[0, 0], [ic, 0], [0, ir]])
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# transform inner to points on outer
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M = cv2.getAffineTransform(pts2, pts1)
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# apply
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dst = cv2.warpAffine(inner, M, (cols, rows), borderMode=cv2.BORDER_TRANSPARENT)
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lower = np.array([0,0,0])
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upper= np.array([0,0,0])
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# Create a mask. Threshold the HSV image to get only yellow colors
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mask = cv2.inRange(dst, lower, upper)
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mask = cv2.bitwise_not(mask)
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final = combine_images(outer, dst, mask)
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cv2.imwrite("affine_poc3.png", final) |