git clone https://github.com/HuangJunJie2017/BEVDet.gitcdBEVDet pip install -v -e. step 3. Prepare nuScenes dataset as introduced innuscenes_det.mdand create the pkl for BEVDet by running: python tools/create_data_bevdet.py step 4. For Occupancy Prediction task, download (only) the '...
mkdir -p bev_ws/src cd bev_ws/src git clone https://github.com/linClubs/BEVDet-ROS-TensorRT.git cd .. catkin_make source devel/setup.bash 3 Run generate engine Generate the onnx TensorRT engine reference to bevdet-tensorrt-cpp engine path as follows. # engine path BEVDet-ROS-TensorR...
BevDet_TensorRT. Contribute to chaomath/BevDet_TensorRT development by creating an account on GitHub.
.github [Enhancement] Use docker to accelerate CI (#971) Sep 29, 2021 configs Initial Commit for BEVDet and BEVDet4D Jun 1, 2022 data [Doc] Add SUN RGB-D doc (#770) Jul 30, 2021 demo fixed visuliaztion typos (#920) Sep 7, 2021 docker [Fix] Update mmdet & mmseg versions in ...
1. install mmdeploy from https://github.com/HuangJunJie2017/mmdeploy 2. convert to TensorRT python tools/convert_bevdet_to_TRT.py $config $checkpoint $work_dir --fuse-conv-bn --fp16 --int8 3. test inference speed python tools/analysis_tools/benchmark_trt.py $config $engine Acknowledgeme...
GitHub - HuangJunJie2017/BEVDet: Code base of the BEVDet series .github.com/HuangJunJie2017/BEVDet BEVDet算法是智驾方案供应商鉴智提出的,鉴智是一个很优秀的供应商,有合作过。鉴智目前聚焦在地平线J6系列芯片智驾方案,提供覆盖多个场景的纯视觉解决方案,成本上低于4千,比卓驭5千的方案还便宜。智驾...
60 + Unreliable: false 61 + Value: true 62 + alpha: 1 63 + color: 25; 255; 0 64 + coloring: Label 65 + line width: 0.10000000149011612 66 + only edge: true 67 + show coords: true 68 + - Alpha: 1 69 + Autocompute Intensity Bounds: true 70 + Autocompute Val...
Note: please sign theapplicationto obtain the codeof RCBEVDet. Introduction We present RCBEVDet, a radar-camera fusion 3D object detection method in the bird's eye view (BEV). Specifically, we first design RadarBEVNet for radar BEV feature extraction. RadarBEVNet consists of a dual-stream ...
Official code base of the BEVDet series . Contribute to zhanghm1995/BEVDet development by creating an account on GitHub.
1. install mmdeploy from https://github.com/HuangJunJie2017/mmdeploy 2. convert to TensorRT python tools/convert_bevdet_to_TRT.py $config $checkpoint $work_dir --fuse-conv-bn --fp16 --int8 3. test inference speed python tools/analysis_tools/benchmark_trt.py $config $engine Acknowledgeme...