add dynamic earth net

datasets/utae_dynamicen.py

@@ -140,20 +140,11 @@ def __len__(self):
         return len(self.files)
 
     def __getitem__(self, index):
-        # padding = (np.array(self.mean)).tolist()
         (images, dates), label = self.load_data(index)
-        #base_size = label.shape[1]
 
         images = torch.from_numpy(images).permute(3, 0, 1, 2)#.transpose(0, 1)
-        images = TF.resize(images, size=512)
-        #images = images[0]
-        #print(images.shape)
-        label = torch.from_numpy(np.array(label, dtype=np.int32)).long().unsqueeze(0).unsqueeze(0)
-        #print(label.shape)
-        label = TF.resize(label, size=512, interpolation=transforms.InterpolationMode.NEAREST)
-        label = label.squeeze(0).squeeze(0)
-        #print(label.shape)
-        #images = images.transpose(0, 1)
+        label = torch.from_numpy(np.array(label, dtype=np.int32)).long()
+
         output = {
             'image': {
                 'optical': images,