[Fix]Fix dev-1.x branch ci (#1813)

* add deploy.yaml

* fix ut

* fix update data script description

tests/test_datasets/test_kitti_dataset.py

@@ -28,7 +28,7 @@ def _generate_kitti_dataset_config():
                 gt_instances_3d = InstanceData()
                 gt_instances_3d.labels_3d = info['gt_labels_3d']
                 data_sample.gt_instances_3d = gt_instances_3d
-                info['data_sample'] = data_sample
+                info['data_samples'] = data_sample
                 return info
 
     pipeline = [
@@ -82,9 +82,9 @@ def test_getitem():
     assert torch.allclose(ann_info['gt_bboxes_3d'].tensor.sum(),
                           torch.tensor(7.2650))
     assert 'centers_2d' in ann_info
-    assert ann_info['centers_2d'].dtype == np.float64
+    assert ann_info['centers_2d'].dtype == np.float32
     assert 'depths' in ann_info
-    assert ann_info['depths'].dtype == np.float64
+    assert ann_info['depths'].dtype == np.float32
 
     car_kitti_dataset = KittiDataset(
         data_root,

tests/test_datasets/test_lyft_dataset.py

@@ -21,12 +21,12 @@ def _generate_nus_dataset_config():
         class Identity(BaseTransform):
 
             def transform(self, info):
-                packed_input = dict(data_sample=Det3DDataSample())
+                packed_input = dict(data_samples=Det3DDataSample())
                 if 'ann_info' in info:
-                    packed_input['data_sample'].gt_instances_3d = InstanceData(
-                    )
                     packed_input[
-                        'data_sample'].gt_instances_3d.labels_3d = info[
+                        'data_samples'].gt_instances_3d = InstanceData()
+                    packed_input[
+                        'data_samples'].gt_instances_3d.labels_3d = info[
                             'ann_info']['gt_labels_3d']
                 return packed_input
 

tests/test_datasets/test_nuscenes_dataset.py

@@ -21,12 +21,12 @@ def _generate_nus_dataset_config():
         class Identity(BaseTransform):
 
             def transform(self, info):
-                packed_input = dict(data_sample=Det3DDataSample())
+                packed_input = dict(data_samples=Det3DDataSample())
                 if 'ann_info' in info:
-                    packed_input['data_sample'].gt_instances_3d = InstanceData(
-                    )
                     packed_input[
-                        'data_sample'].gt_instances_3d.labels_3d = info[
+                        'data_samples'].gt_instances_3d = InstanceData()
+                    packed_input[
+                        'data_samples'].gt_instances_3d.labels_3d = info[
                             'ann_info']['gt_labels_3d']
                 return packed_input
 

tests/test_models/test_dense_heads/test_freeanchors.py

@@ -17,8 +17,8 @@ class TestFreeAnchor(unittest.TestCase):
         DefaultScope.get_instance('test_freeanchor', scope_name='mmdet3d')
         _setup_seed(0)
         freeanchor_cfg = _get_detector_cfg(
-            'free_anchor/hv_pointpillars_fpn_sbn-all_free-'
-            'anchor_4x8_2x_nus-3d.py')
+            'free_anchor/pointpillars_hv_regnet-1.6gf_fpn_head-free-anchor'
+            '_sbn-all_8xb4-2x_nus-3d.py')
         model = MODELS.build(freeanchor_cfg)
         num_gt_instance = 3
         packed_inputs = _create_detector_inputs(

tools/dataset_converters/update_infos_to_v2.py

@@ -3,6 +3,7 @@
 
 Example:
     python tools/dataset_converters/update_infos_to_v2.py
+        --dataset kitti
         --pkl ./data/kitti/kitti_infos_train.pkl
         --out-dir ./kitti_v2/
 """