Created
September 9, 2017 18:24
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Affine warp to straighen moose
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from skimage.transform import PiecewiseAffineTransform, warp | |
from skimage.io import imread, imshow, imsave | |
import numpy as np | |
if __name__=="__main__": | |
img = imread("IMG_3785.JPG") | |
pw = PiecewiseAffineTransform() | |
if 0: #IMG_3784.JPG | |
src = np.array([(150, 234), (114, 4955), (3185, 4932), (3208, 276)]) | |
x1 = 0.5*(src[0,0]+src[1,0]) | |
x2 = 0.5*(src[2,0]+src[3,0]) | |
y1 = 0.5*(src[3,1]+src[0,1]) | |
y2 = 0.5*(src[1,1]+src[2,1]) | |
dst = np.array([(x1, y1), (x1, y2), (x2, y2), (x2, y1)]) | |
if 1: #IMG_3784.JPG | |
src = np.array([(154, 248), (193, 4961), (3256, 4961), (3284, 248)]) | |
x1 = 0.5*(src[0,0]+src[1,0]) | |
x2 = 0.5*(src[2,0]+src[3,0]) | |
y1 = 0.5*(src[3,1]+src[0,1]) | |
y2 = 0.5*(src[1,1]+src[2,1]) | |
dst = np.array([(x1, y1), (x1, y2), (x2, y2), (x2, y1)]) | |
pw.estimate(dst, src) | |
out = warp(img, pw, output_shape=img.shape) | |
imsave("out.jpg", out) | |
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