one more fix

dronescapes_reader/dronescapes_representations.py

@@ -16,7 +16,7 @@ class DepthRepresentation(NpzRepresentation):
 
     @overrides
     def plot_fn(self, x: tr.Tensor) -> np.ndarray:
-        x = x.numpy()
+        x = x.detach().cpu().numpy()
         x = np.clip(x, self.min_depth, self.max_depth)
         x = np.nan_to_num((x - x.min()) / (x.max() - x.min()), 0)
         y = hot(x.squeeze())[..., 0:3]
@@ -27,7 +27,7 @@ class OpticalFlowRepresentation(NpzRepresentation):
     """OpticalFlowRepresentation. Implements depth task-specific stuff, like using flow_vis."""
     @overrides
     def plot_fn(self, x: tr.Tensor) -> np.ndarray:
-        return flow_vis.flow_to_color(x.squeeze().nan_to_num(0).numpy())
+        return flow_vis.flow_to_color(x.squeeze().nan_to_num(0).detach().cpu().numpy())
 
 class SemanticRepresentation(NpzRepresentation):
     """SemanticRepresentation. Implements depth task-specific stuff, like using flow_vis."""
@@ -46,7 +46,7 @@ class SemanticRepresentation(NpzRepresentation):
 
     @overrides
     def plot_fn(self, x: tr.Tensor) -> np.ndarray:
-        x = x.squeeze().nan_to_num(0).numpy()
+        x = x.squeeze().nan_to_num(0).detach().cpu().numpy()
         new_images = np.zeros((*x.shape, 3), dtype=np.uint8)
         for i in range(self.n_classes):
             new_images[x == i] = self.color_map[i]

dronescapes_reader/multitask_dataset.py

@@ -28,7 +28,7 @@ class NpzRepresentation:
 
     def save_to_disk(self, data: tr.Tensor, path: Path):
         """stores this item to the disk which can then be loaded via `load_from_disk`"""
-        np.save(path, data.cpu().numpy(), allow_pickle=False)
+        np.save(path, data.cpu().detach().numpy(), allow_pickle=False)
 
     def plot_fn(self, x: tr.Tensor) -> np.ndarray:
         """very basic implementation of converting this representation to a viewable image. You should overwrite this"""
@@ -37,7 +37,7 @@ class NpzRepresentation:
         assert len(x.shape) == 3, x.shape # guaranteed to be (H, W, C) at this point
         if x.shape[-1] != 3: x = x[..., 0:1]
         if x.shape[-1] == 1: x = x.repeat(1, 1, 3)
-        x = x.nan_to_num(0).cpu().numpy() # guaranteed to be (H, W, 3) at this point hopefully
+        x = x.nan_to_num(0).cpu().detach().numpy() # guaranteed to be (H, W, 3) at this point hopefully
         _min, _max = x.min((0, 1), keepdims=True), x.max((0, 1), keepdims=True)
         if x.dtype != np.uint8: x = np.nan_to_num((x - _min) / (_max - _min) * 255, 0).astype(np.uint8)
         return x
@@ -119,7 +119,7 @@ class MultiTaskDataset(Dataset):
         for task_name in self.task_names:
             t = self.task_types[task_name]
             try:
-                t = t(task_name)
+                t = t(task_name) # hack for not isinstance(self.task_types, NpzRepresentation) but callable
             except Exception:
                 pass
             self._tasks.append(t)