GitLab

support FILTER_EMPTY_BOXES_FOR_TRAIN and DISABLE_NLZ_FLAG_ON_POINTS for WOD by default, eval with sample_interval=1

update create_groundtruth_database of WOD to generate global npy file for sharedmemory based GT_database

Improve WOD performance with two LiDAR returns, speed up WOD data pre-processing with multiprocesssing.Pool

Add support for spconv 2.0

bugfixed: weights transformation between spconv 1.x and spconv 2.x, should consider both native/implicit spconv 2.x

- as per the spconv documentation, the order of channels in weights is now changed
- we need to get all the affected weights, using the util function in spconv_utils
- we need to check the version with the version checker in __init__.py
- we need to transpose last two dimensions of existing weights, from older models
- to avoid duplication a single _load_state_dict method is added

Passing dist_train instead of dist as the to_cpu paremeter to the loading functions.

* Update __init__.py

missing kornia. before image_to_tensor

* Update README.md

add Voxel R-CNN to changelog

* Update README.md

Add Voxel R-CNN as the officially released code

missing kornia. before image_to_tensor