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znIi4}+rOs97>&ooQG_+k+Pd!V4_;AIw}e!0W0nN_K0yX__uWqby6}B=(j<;$kbWe(9`~B2f{-IU=DvX|4?p7Ln%Qaiq_h$2Ce=V+xVOijL8`n(o={#jMkR89ROeF z`g__}XoWRuRt05MF`qBM`k?jj?;(&lC^qgtctE~b;&2_we336Pu~*dud#yA{+1uM= zF`sjAc*yC=3A=lHT-o3EgN627-QM2D8IP~J-gy>OG)3Wa Image.Image: result_image.paste(foreground, (0, 0), foreground) return result_image + + +@register_image_task("indah") +def indah_task(input_image: Image.Image) -> Image.Image: + """ + You've upset Indah + """ + + # Load the foreground overlay (ensure it has an alpha channel) + foreground = Image.open("admin_bot/resources/indah_sad.png").convert("RGBA") + + # Perspective Transform, transform based on moving the four corners + input_corners = [ # input rectangular image corners + (0, 0), + (input_image.width, 0), + (input_image.width, input_image.height), + (0, input_image.height), + ] + output_corners = [ # four corners of the screen in foreground image + (67, 446), + (406, 290), + (513, 557), + (195, 736), + ] + + coeffs = find_coeffs(output_corners, input_corners) # calculate transformation + + transformed_image = input_image.transform( + foreground.size, Image.PERSPECTIVE, coeffs, Image.BICUBIC + ) # apply transformation + + # Create a new blank RGBA image with the same size as the foreground + result_image = Image.new("RGBA", foreground.size, (0, 0, 0, 0)) # Fully transparent + result_image.paste(transformed_image, (0, 0)) + result_image.paste(foreground, (0, 0), foreground) + + return result_image + + +def find_coeffs(pa, pb): # source: stack overflow + matrix = [] + for p1, p2 in zip(pa, pb): + matrix.append([p1[0], p1[1], 1, 0, 0, 0, -p2[0] * p1[0], -p2[0] * p1[1]]) + matrix.append([0, 0, 0, p1[0], p1[1], 1, -p2[1] * p1[0], -p2[1] * p1[1]]) + + A = numpy.matrix(matrix, dtype=float) + B = numpy.array(pb).reshape(8) + + res = numpy.dot(numpy.linalg.inv(A.T * A) * A.T, B) + return numpy.array(res).reshape(8)

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