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.

fourcell/notes/affine_poc.py

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+import cv2
+import numpy as np
+
+#outer template
+outer = cv2.imread("graph.jpeg")
+#inner image
+inner = cv2.imread("emoji.jpeg")
+
+rows, cols, ch = outer.shape
+ir, ic, ich = inner.shape
+
+print(f'{cols}x{rows}')
+print(f'{ic}x{ir}')
+
+# destination ponts on outer image
+pts1 = np.float32([[15, 15], [200, 30], [50, 140]])
+
+# corresponding points on inner image
+pts2 = np.float32([[0, 0], [ic, 0], [0, ir]])
+
+# transform inner to points on outer
+M = cv2.getAffineTransform(pts2, pts1)
+
+# apply
+dst = cv2.warpAffine(inner, M, (cols, rows), borderMode=cv2.BORDER_TRANSPARENT)
+
+final = outer.copy()
+final[0:rows, 0:cols] = dst
+cv2.imwrite("affine_poc.png", final)