Removed dense_crf (for real)

Former-commit-id: eb54ef62c6c893ab9e93d4a8095b75044c2d33a7

.gitignore

@@ -5,3 +5,4 @@ checkpoints/
 *.pth
 *.jpg
 SUBMISSION*
+venv/

requirements.txt

@@ -1,6 +1,6 @@
 matplotlib
-pydensecrf
 numpy
 Pillow
 torch
 torchvision
+tensorboard

utils/crf.py

@@ -1,26 +0,0 @@
-import numpy as np
-import pydensecrf.densecrf as dcrf
-
-
-def dense_crf(img, output_probs):
-    h = output_probs.shape[0]
-    w = output_probs.shape[1]
-
-    output_probs = np.expand_dims(output_probs, 0)
-    output_probs = np.append(1 - output_probs, output_probs, axis=0)
-
-    d = dcrf.DenseCRF2D(w, h, 2)
-    U = -np.log(output_probs)
-    U = U.reshape((2, -1))
-    U = np.ascontiguousarray(U)
-    img = np.ascontiguousarray(img)
-
-    d.setUnaryEnergy(U)
-
-    d.addPairwiseGaussian(sxy=20, compat=3)
-    d.addPairwiseBilateral(sxy=30, srgb=20, rgbim=img, compat=10)
-
-    Q = d.inference(5)
-    Q = np.argmax(np.array(Q), axis=0).reshape((h, w))
-
-    return Q