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

* add deploy.yaml * fix ut * fix update data script description
open-mmlab · Sep 16, 2022 · aef0bfd · aef0bfd
1 parent 14ccfc4
commit aef0bfd
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Showing 6 changed files with 14 additions and 13 deletions.
diff --git a/configs/3dssd/3dssd_4xb4_kitti-3d-car.py.py → configs/3dssd/3dssd_4xb4_kitti-3d-car.py b/configs/3dssd/3dssd_4xb4_kitti-3d-car.py.py → configs/3dssd/3dssd_4xb4_kitti-3d-car.py
diff --git a/tests/test_datasets/test_kitti_dataset.py b/tests/test_datasets/test_kitti_dataset.py
@@ -28,7 +28,7 @@ def transform(self, info):
  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,

diff --git a/tests/test_datasets/test_lyft_dataset.py b/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
 

diff --git a/tests/test_datasets/test_nuscenes_dataset.py b/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
 

diff --git a/tests/test_models/test_dense_heads/test_freeanchors.py b/tests/test_models/test_dense_heads/test_freeanchors.py
@@ -17,8 +17,8 @@ def test_freeanchor(self):
  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(

diff --git a/tools/dataset_converters/update_infos_to_v2.py b/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/
 """