└── bevdetv2-nuscenes_infos_val.pkl (new) ``` step 5. CKPTS Preparation (1) Download flashocc-r50-256x704.pth[https://drive.google.com/file/d/1k9BzXB2nRyvXhqf7GQx3XNSej6Oq6I-B/view] to Path_to_FlashOcc/FlashOcc/ckpts/, then run: ```shell script bash tools/dist_test.sh...
ann_file='nuscenes_infos_train.pkl', ann_file='nuscenes_infos_val.pkl', pipeline=train_pipeline, metainfo=metainfo, modality=input_modality, @@ -272,12 +310,23 @@ def __date(): visualizer = dict(type='Det3DLocalVisualizer', vis_backends=vis_backends, name='visualizer') lr = 0.0002...
├── nuscenes_infos_train.pkl ├── nuscenes_infos_val.pkl ├── ... ├── nuscenes_infos_train.10.pkl ├── nuscenes_infos_train.10-unlabeled.pkl └── ... ``` ### SemanticKITTI 0 comments on commit 28daff6 Please sign in to comment. Footer ...
*.pkl filter=lfs diff=lfs merge=lfs -text *.pt filter=lfs diff=lfs merge=lfs -text *.pth filter=lfs diff=lfs merge=lfs -text *.rar filter=lfs diff=lfs merge=lfs -text *.safetensors filter=lfs diff=lfs merge=lfs -text saved_model/**/* filter=lfs diff=lfs merge=lfs -text *....
"Dataset expected to be pkl (open-orca) or json (cnn-dailymail)") @@ -169,7 +167,7 @@ def main(): print("Targets: ", targets) for k, _ in targets.items(): assert targets[k] * relaxing_factor <= achieved_scores[k] assert targets[k] <= achieved_scores[k] if __name__ ...
├── scannet_oneformer3d_infos_val.pkl ├── scannet_oneformer3d_infos_test.pkl ``` 5 changes: 5 additions & 0 deletions 5 data/scannet200-mv/README.md Original file line numberDiff line numberDiff line change @@ -1,5 +1,10 @@ ## Prepare ScanNet200-MV Dataset **Step1:** ...
dump_infos.append(dump) mmengine.dump(results, osp.join(full_dir, folder_name + '.json')) mmengine.dump(dump_infos, osp.join(full_dir, folder_name + '.json')) def main(): args = parse_args() # load test results outputs = mmengine.load(args.result) cfg = mmengine.Config.from...
info_path='../nuscenes_mini/nuscenes_dbinfos_train.pkl', rate=1.0, prepare=dict( filter_by_difficulty=[-1], filter_by_min_points=dict( car=5, truck=5, bus=5, trailer=5, construction_vehicle=5, traffic_cone=5, barrier=5, motorcycle=5, bicycle=5, pedestrian=5)), classes=[ 'car'...
├── scannet_oneformer3d_infos_val.pkl ``` ### Part2: 2D data We follow the procedure in [Online3D](https://github.com/xuxw98/Online3D/tree/main/data/scannet-sv). You can refer to **step 1** to either download the processed 2D data directly or generate 2D data from the raw...
create_groundtruth_database(dataset_name, root_path, info_prefix, f'{out_dir}/{info_prefix}_infos_trainval.pkl', f'{out_dir}/{info_prefix}_infos_train.pkl', with_bbox=True) 0 comments on commit 167dc78 Please sign in to comment. Footer...