Comments (1)
Similar to DSVT, what we designed is a deployable multi-modal backbone, so we only provide the deployment code for the backbone. Relying on this deployment code to deploy all the modules should not be a difficult task.
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Related Issues (20)
- Why shift the patch coordinates in '_lidar2image_preprocess'? HOT 4
- 关于复现时在test集上指标低 HOT 5
- TRT inference HOT 3
- deploy model HOT 1
- Application of the model with images and radar HOT 1
- deploy
- TRT HOT 3
- Hi Haiyang, HOT 5
- How do you test the speed of UniTR? HOT 2
- how to calculate the nearest neighbor between pseudo 3d grid points and image token? HOT 3
- Perceptual areas that do not overlap exactly HOT 13
- python setup.py develop make error HOT 2
- Request permission for checkpoint unitr_pretrain. HOT 19
- [ONNX,TRT]Deployment HOT 11
- I meet a cache-related bug HOT 10
- Intuitions on sparse_space and voxel_size in FUSE_BACKBONE HOT 7
- whether tried Camera only sensor by any chance? HOT 5
- Camera Only for bev segmentation HOT 3
- How to Visualize Inference Results HOT 2
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