Create a affineTransform proof of concept script that takes one image, finds points within it and to scale and distort an image to and then places it there.
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import cv2
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import numpy as np
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#outer template
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outer = cv2.imread("graph.jpeg")
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#inner image
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inner = cv2.imread("emoji.jpeg")
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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([[15, 15], [200, 30], [50, 140]])
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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_poc.png", final)
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