1 update samples

alodataset/base_dataset.py

@@ -12,14 +12,16 @@
 import aloscene
 
 DATASETS_DOWNLOAD_PATHS = {
-    "coco": "https://storage.googleapis.com/visualbehavior-sample/coco_sample.pkl",
-    "waymo": "https://storage.googleapis.com/visualbehavior-sample/waymo_sample.pkl",
-    "mot17": "https://storage.googleapis.com/visualbehavior-sample/mot17_sample.pkl",
-    "chairsSDHom": "https://storage.googleapis.com/visualbehavior-sample/chairsSDHom_sample.pkl",
-    "crowdhuman": "https://storage.googleapis.com/visualbehavior-sample/crowdhuman_sample.pkl",
-    "flyingChairs2": "https://storage.googleapis.com/visualbehavior-sample/flyingChairs2_sample.pkl",
-    "flyingThings": "https://storage.googleapis.com/visualbehavior-sample/flyingThings_sample.pkl",
-    "Sintel": "https://storage.googleapis.com/visualbehavior-sample/Sintel_sample.pkl",
+    "coco": "https://storage.googleapis.com/visualbehavior-sample/coco.pkl",
+    "waymo": "https://storage.googleapis.com/visualbehavior-sample/waymo.pkl",
+    "mot17": "https://storage.googleapis.com/visualbehavior-sample/mot17.pkl",
+    "chairsSDHom": "https://storage.googleapis.com/visualbehavior-sample/chairsSDHom.pkl",
+    "crowdhuman": "https://storage.googleapis.com/visualbehavior-sample/crowdhuman.pkl",
+    "FlyingChairs2": "https://storage.googleapis.com/visualbehavior-sample/FlyingChairs2.pkl",
+    "FlyingThings3DSubset": "https://storage.googleapis.com/visualbehavior-sample/FlyingThings3DSubset.pkl",
+    "SintelDisparity": "https://storage.googleapis.com/visualbehavior-sample/SintelDisparity.pkl",
+    "SintelFlow": "https://storage.googleapis.com/visualbehavior-sample/SintelFlow.pkl",
+    "SintelMulti": "https://storage.googleapis.com/visualbehavior-sample/SintelMulti.pkl",
 }
 
 

alodataset/chairssdhom_dataset.py

@@ -59,6 +59,8 @@ def getitem(self, idx):
         """
         Return frames corresponding to a sequence
         """
+        if self.sample:
+            return BaseDataset.__getitem__(self, idx)
         sequence_data = self.items[idx]
         return self.get_frames(sequence_data)
 

alodataset/crowd_human_dataset.py

@@ -93,6 +93,9 @@ def load_gt(self, dict_input):
         return bboxes, classes
 
     def getitem(self, idx):
+        if self.sample:
+            return BaseDataset.__getitem__(self, idx)
+
         record = self.items[idx]
 
         image_id = record["ID"]
@@ -256,7 +259,6 @@ def main():
     crowd_human_dataset = CrowdHumanDataset(sample=True)
 
     crowd_human_dataset.prepare()
-
     for i, frames in enumerate(crowd_human_dataset.train_loader(batch_size=2, sampler=None, num_workers=0)):
         frames = Frame.batch_list(frames)
         frames.get_view().render(figsize=(20, 10))

alodataset/flying_chairs2_dataset.py

@@ -22,6 +22,8 @@ class FlyingChairs2Dataset(BaseDataset, SplitMixin):
 
     def __init__(self, **kwargs):
         super(FlyingChairs2Dataset, self).__init__(name="FlyingChairs2", **kwargs)
+        if self.sample:
+            return
         self.dir_path = self._dir_path()
         self.items = self._get_sequences()
 
@@ -73,6 +75,8 @@ def getitem(self, idx):
         idx : int
             index of the sequence
         """
+        if self.sample:
+            return BaseDataset.__getitem__(self, idx)
         sequence_data = self.items[idx]
         return self._get_frames(sequence_data)
 

alodataset/flyingthings3D_subset_dataset.py

@@ -359,6 +359,8 @@ def get_frames(self, sequence_data):
         return frames
 
     def getitem(self, idx):
+        if self.sample:
+            return BaseDataset.__getitem__(self, idx)
         sequence_data = self.items[idx]
         return self.get_frames(sequence_data)
 

alodataset/merge_dataset.py

@@ -72,8 +72,8 @@ def train_loader(self, batch_size=1, num_workers=2, sampler=torch.utils.data.Ran
 if __name__ == "__main__":
     from alodataset import ChairsSDHomDataset, FlyingThings3DSubsetDataset, Split
 
-    chairs = ChairsSDHomDataset(split=Split.VAL)
-    flying = FlyingThings3DSubsetDataset(split=Split.VAL, sequence_size=2, transform_fn=lambda f: f["left"])
+    chairs = ChairsSDHomDataset(sample=True)
+    flying = FlyingThings3DSubsetDataset(sample=True, transform_fn=lambda f: f["left"])
 
     multi = MergeDataset([chairs, flying])
 

alodataset/mot17.py

@@ -163,6 +163,9 @@ def _add_line(self, sequence: str, line: str, config: configparser.ConfigParser)
         )
 
     def getitem(self, idx):
+        if self.sample:
+            return BaseDataset.__getitem__(self, idx)
+
         seq = list(self.items[idx]["seq"])
         sequence_name = self.items[idx]["mot_sequence"]
 
@@ -219,10 +222,7 @@ def getitem(self, idx):
 
 def main():
     """Main"""
-    mot_dataset = Mot17(
-        split=Split.TRAIN, validation_sequences=["MOT17-05"], detections_set=["FRCNN"], sequence_size=2, random_step=30
-    )
-
+    mot_dataset = Mot17(sample=True)
     for frames in mot_dataset.stream_loader():
         frames.names
         frames.get_view(

alodataset/sintel_base_dataset.py

@@ -65,6 +65,9 @@ def __init__(self, cameras=None, labels=None, passes=None, sintel_sequences=None
         self.labels = labels if labels is not None else self.LABELS
         self.passes = passes if passes is not None else self.PASSES
         self.sintel_sequences = sintel_sequences if sintel_sequences is not None else self.SINTEL_SEQUENCES
+        if self.sample:
+            return
+
         self._assert_inputs()
 
         self.items = self._get_sequences()
@@ -154,5 +157,7 @@ def _get_frames(self, sequence_data):
         return frames
 
     def getitem(self, idx):
+        if self.sample:
+            return BaseDataset.__getitem__(self, idx)
         sequence_data = self.items[idx]
         return self._get_frames(sequence_data)

alodataset/sintel_disparity_dataset.py

@@ -105,8 +105,8 @@ def _get_camera_frames(self, sequence_data, camera):
 
 
 if __name__ == "__main__":
-    dataset = SintelDisparityDataset(sequence_size=2)
+    dataset = SintelDisparityDataset(sample=True)
     # show some frames at various indices
-    for idx in [1, 15, 64]:
+    for idx in [1, 2, 5]:
         frames = dataset.getitem(idx)["left"]
         frames.get_view().render()

alodataset/sintel_flow_dataset.py

@@ -95,8 +95,8 @@ def _get_camera_frames(self, sequence_data, camera):
 
 
 if __name__ == "__main__":
-    dataset = SintelFlowDataset(sequence_size=2)
+    dataset = SintelFlowDataset(sample=True)
     # show some frames at various indices
-    for idx in [1, 15, 64]:
+    for idx in [1, 2, 5]:
         frames = dataset.getitem(idx)["left"]
         frames.get_view().render()

alodataset/sintel_multi_dataset.py

@@ -117,9 +117,9 @@ def set_dataset_dir(self, dataset_dir: str):
 
 
 if __name__ == "__main__":
-    dataset = SintelMultiDataset(sequence_size=2)
+    dataset = SintelMultiDataset(sample=True)
     # show some frames at various indices
-    for idx in [1, 15, 64]:
+    for idx in [1, 2, 5]:
         frames = dataset.getitem(idx)
         frames["left"].get_view().render()
         frames["right"].get_view().render()

alodataset/waymo_dataset.py

@@ -503,7 +503,6 @@ def main():
     """Main"""
     waymo_dataset = WaymoDataset(sample=True)
     waymo_dataset.prepare()
-    print(waymo_dataset.dataset_dir)
 
     for frames in waymo_dataset.train_loader(batch_size=2):
         frames = Frame.batch_list([frame["front"] for frame in frames])

unittest/test_train.py

@@ -58,11 +58,11 @@ def test_deformable_detr(mock_args):
 
 
 @mock.patch("argparse.ArgumentParser.parse_args", return_value=argparse.Namespace(**raft_args))
-def _test_raft(mock_args):
+def test_raft(mock_args):
     raft_train_on_chairs()
 
 
 if __name__ == "__main__":
     test_deformable_detr()
     test_detr()
-    # test_raft()
+    test_raft()