Fix some numpy issues

Author: qinliuliuqin

maskprop/Med-STCN/dataset/med_dataset.py

@@ -181,7 +181,7 @@ def __getitem__(self, idx):
             sec_masks = np.zeros_like(tar_masks)
             selector = torch.FloatTensor([1, 0])
 
-        cls_gt = np.zeros((3, 384, 384), dtype=np.int)
+        cls_gt = np.zeros((3, 384, 384), dtype=int)
         cls_gt[tar_masks[:,0] > 0.5] = 1
         cls_gt[sec_masks[:,0] > 0.5] = 2
 

maskprop/MiVOS/fbrs/inference/predictors/brs_functors.py

@@ -72,7 +72,7 @@ def __call__(self, x):
         self._last_mask = current_mask
 
         loss.backward()
-        f_grad = opt_params.grad.cpu().numpy().ravel().astype(np.float)
+        f_grad = opt_params.grad.cpu().numpy().ravel().astype(np.float64)
 
         return [f_val, f_grad]