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27 lines
659 B
Python
27 lines
659 B
Python
import numpy as np
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import pydensecrf.densecrf as dcrf
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def dense_crf(img, output_probs):
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h = output_probs.shape[0]
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w = output_probs.shape[1]
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output_probs = np.expand_dims(output_probs, 0)
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output_probs = np.append(1 - output_probs, output_probs, axis=0)
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d = dcrf.DenseCRF2D(w, h, 2)
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U = -np.log(output_probs)
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U = U.reshape((2, -1))
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U = np.ascontiguousarray(U)
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img = np.ascontiguousarray(img)
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d.setUnaryEnergy(U)
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d.addPairwiseGaussian(sxy=20, compat=3)
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d.addPairwiseBilateral(sxy=30, srgb=20, rgbim=img, compat=10)
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Q = d.inference(5)
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Q = np.argmax(np.array(Q), axis=0).reshape((h, w))
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return Q
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