dataset.py: cleanup

dataset.py

@@ -267,26 +267,14 @@ class CTDDataset(Dataset):
     def __getitem__(self, index):
         # find path
         left_path = self.imgs[index]
-        prefix = left_path[: left_path.rfind("_")]
-        # right_path = prefix + "_right.jpg"
         left_disp_path = left_path.replace('im', 'disp')
-        # right_disp_path = prefix + "_right.disp.png"
 
         # read img, disp
-        # left_img = cv2.imread(left_path, cv2.IMREAD_COLOR)
-        # right_img = cv2.imread(right_path, cv2.IMREAD_COLOR)
-        # left_img = np.load(left_path).transpose(1,2,0)
         left_img = np.load(left_path)
-        # left_img = cv2.cvtColor(left_img, cv2.COLOR_GRAY2RGB)
-        # FIXME DO WE NEED THIS? OTHERWISE IT's PRETTY DARK
-        left_img = cv2.normalize(left_img, None, 0, 255, cv2.NORM_MINMAX, cv2.CV_8U)
-        # left_img = cv2.merge([left_img, left_img, left_img]).reshape((3, 480, 640))
         left_img = cv2.merge([left_img, left_img, left_img]).reshape((480, 640, 3))
 
         right_img = self.pattern
-        # right_img = cv2.merge([right_img, right_img, right_img]).reshape((3, 480, 640))
         left_disp = self.get_disp(left_disp_path)
-        # right_disp = self.get_disp(right_disp_path)
 
         if False: # self.rng.binomial(1, 0.5):
             left_img, right_img = np.fliplr(right_img), np.fliplr(left_img)
@@ -308,12 +296,7 @@ class CTDDataset(Dataset):
                 left_img, right_img, left_disp
             )
 
-        # left_img = left_img.transpose(2, 0, 1).astype("uint8")
+        right_img = right_img.transpose((2, 0, 1)).astype("uint8")
-        # left_img = left_img.transpose(2, 0, 1).astype("float32")
-        # left_img = left_img.astype("float32")
-        right_img = right_img.transpose(2, 0, 1).astype("uint8")
-        # right_img = right_img.astype("float32")
-        # print('post_augment', left_img)
 
         return {
             "left": left_img,