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Updated with the correct argument (--pred-score-thr) in the multi-modal demo docs #2908

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Updated with the correct argument (--pred-score-thr) in the multi-modal demo docs #2908

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fe25f7a
Merge pull request #2867 from open-mmlab/dev-1.x
ZwwWayne Jan 8, 2024
b7802df
updated the argument name from score-thr to pred-score-thr in the docs
Barath19 Feb 21, 2024
a6b7dcd
evaluation of mini dataset
Barath19 Jun 15, 2024
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4 changes: 2 additions & 2 deletions docs/en/user_guides/inference.md
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Expand Up @@ -61,7 +61,7 @@ python demo/mono_det_demo.py demo/data/nuscenes/n015-2018-07-24-11-22-45+0800__C
To test a 3D detector on multi-modality data (typically point cloud and image), simply run:

```shell
python demo/multi_modality_demo.py ${PCD_FILE} ${IMAGE_FILE} ${ANNOTATION_FILE} ${CONFIG_FILE} ${CHECKPOINT_FILE} [--device ${GPU_ID}] [--score-thr ${SCORE_THR}] [--out-dir ${OUT_DIR}] [--show]
python demo/multi_modality_demo.py ${PCD_FILE} ${IMAGE_FILE} ${ANNOTATION_FILE} ${CONFIG_FILE} ${CHECKPOINT_FILE} [--device ${GPU_ID}] [--pred-score-thr ${SCORE_THR}] [--out-dir ${OUT_DIR}] [--show]
```

where the `ANNOTATION_FILE` should provide the 3D to 2D projection matrix. The visualization results including a point cloud, an image, predicted 3D bounding boxes and their projection on the image will be saved in `${OUT_DIR}/PCD_NAME`.
Expand All @@ -75,7 +75,7 @@ python demo/multi_modality_demo.py demo/data/kitti/000008.bin demo/data/kitti/00
Example on SUN RGB-D data using [ImVoteNet model](https://download.openmmlab.com/mmdetection3d/v1.0.0_models/imvotenet/imvotenet_stage2_16x8_sunrgbd-3d-10class/imvotenet_stage2_16x8_sunrgbd-3d-10class_20210819_192851-1bcd1b97.pth):

```shell
python demo/multi_modality_demo.py demo/data/sunrgbd/000017.bin demo/data/sunrgbd/000017.jpg demo/data/sunrgbd/sunrgbd_000017_infos.pkl configs/imvotenet/imvotenet_stage2_8xb16_sunrgbd-3d.py ${CHECKPOINT_FILE} --cam-type CAM0 --show --score-thr 0.6
python demo/multi_modality_demo.py demo/data/sunrgbd/000017.bin demo/data/sunrgbd/000017.jpg demo/data/sunrgbd/sunrgbd_000017_infos.pkl configs/imvotenet/imvotenet_stage2_8xb16_sunrgbd-3d.py ${CHECKPOINT_FILE} --cam-type CAM0 --show --pred-score-thr 0.6
```

Example on NuScenes data using [BEVFusion model](https://drive.google.com/file/d/1QkvbYDk4G2d6SZoeJqish13qSyXA4lp3/view?usp=share_link):
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1 change: 1 addition & 0 deletions mmdet3d/evaluation/metrics/nuscenes_metric.py
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Expand Up @@ -160,6 +160,7 @@ def compute_metrics(self, results: List[dict]) -> Dict[str, float]:

classes = self.dataset_meta['classes']
self.version = self.dataset_meta['version']
self.version = 'v1.0-mini'
# load annotations
self.data_infos = load(
self.ann_file, backend_args=self.backend_args)['data_list']
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