GitLab

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

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

* Added CaDDN detector and support for image, depth map, and 2D GT box
dataloading

* Moved image flip augmentation to augmentor_utils

* Updated default get item list to include points

* Moved utils functions into transform_utils

* Combined FFE + F2V into ImageVFE, renamed FFE to FFN, moved depth downsample into data_processor

* Updated README with updated CaDDN weights

* Updated comments for image vfe

In data_processor.py sample_points, when num_points < far_idx_choice, a negative value is passed into np.random.choice, which cause a ValueError.
In fact the variable `near_idxs_choice` return by the deleted line is never used.

* bugfixed: add num_points_in_gt to the waymo_infos for evaluation

* add clarification for Waymo evaluation

* add kitti_utils.py for evaluating with KITTI metrics

* Make TensorBoard more concise

* Export only metrics using 40 recalll positions