Use username
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PLATFORM: Mac
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PYTHON: Python 3.10.8
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OPENCV: 4.7.0
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affine_poc.py works
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affine_poc2.py does not work
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> background appears black
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> happens with multiple jpegs
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PLATFORM: Linux
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PYTHON: Python 3.10.6
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OPENCV: 4.5.4
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Produces the same images
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import cv2
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import numpy as np
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import os
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username = os.getlogin()
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#outer template
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outer = cv2.imread("../../../../Desktop/running/shot1-scans/image-2-normal.png")
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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("../../../../Desktop/frame.jpg")
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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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@ -27,4 +29,5 @@ dst = cv2.warpAffine(inner, M, (cols, rows), borderMode=cv2.BORDER_TRANSPARENT)
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final = outer.copy()
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final[0:rows, 0:cols] = dst
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cv2.imwrite("affine_poc2.png", final)
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import cv2
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import numpy as np
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import os
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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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final = outer.copy()
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final[0:rows, 0:cols] = dst
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cv2.imwrite("affine_poc2-dst.png", dst)
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