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Update doc - VoxelSetAbstraction.interpolate_from_bev_features #3052

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Update doc - VoxelSetAbstraction.interpolate_from_bev_features #3052

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8ec2861
Update doc - VoxelSetAbstraction.interpolate_from_bev_features
ashutoshsingh0223 Nov 8, 2024
f905eab
Update test.yml - mmcv version
ashutoshsingh0223 Nov 8, 2024
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4 changes: 2 additions & 2 deletions .circleci/test.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -65,7 +65,7 @@ jobs:
command: |
pip install git+ssh://[email protected]/open-mmlab/mmengine.git@main
pip install -U openmim
mim install 'mmcv >= 2.0.0rc4'
mim install 'mmcv>=2.0.0rc4,<2.2.0'
pip install git+ssh://[email protected]/open-mmlab/[email protected]
pip install -r requirements/tests.txt
- run:
Expand Down Expand Up @@ -118,7 +118,7 @@ jobs:
command: |
docker exec mmdet3d pip install -e /mmengine
docker exec mmdet3d pip install -U openmim
docker exec mmdet3d mim install 'mmcv >= 2.0.0rc4'
docker exec mmdet3d mim install 'mmcv>=2.0.0rc4,<2.2.0'
docker exec mmdet3d pip install -e /mmdetection
docker exec mmdet3d pip install -r requirements/tests.txt
- run:
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4 changes: 2 additions & 2 deletions mmdet3d/models/middle_encoders/voxel_set_abstraction.py
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Expand Up @@ -136,15 +136,15 @@ def interpolate_from_bev_features(self, keypoints: torch.Tensor,

Args:
keypoints (torch.Tensor): Sampled key points with shape
(N1 + N2 + ..., NDim).
(B, N, NDim).
bev_features (torch.Tensor): Bev feature map from the first
stage with shape (B, C, H, W).
batch_size (int): Input batch size.
bev_scale_factor (int): Bev feature map scale factor.

Returns:
torch.Tensor: Key points features gather from bev feature
map with shape (N1 + N2 + ..., C)
map with shape (B, N, C)
"""
x_idxs = (keypoints[..., 0] -
self.point_cloud_range[0]) / self.voxel_size[0]
Expand Down