shouxieai / bevfusion_02hero
☆13Updated last year
Alternatives and similar repositories for bevfusion_02hero:
Users that are interested in bevfusion_02hero are comparing it to the libraries listed below
- ICLR2024: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.☆70Updated 5 months ago
- ☆24Updated last year
- A plugin to make view transformer from perspective view to bird-eye-view, it is used in bevdet☆21Updated last year
- 本Fork代码仓库作为本人记录学习BEVFusion的学习笔记使用,会逐步理解代码并添加大量中文注释。 本仓库代码已参照《bevfusion单显卡训练/测试》做了单GPU训练和测试的修改。 并在本人主机上做过了测试。☆84Updated last year
- A fork of the BEVDet series .☆20Updated last year
- ☆64Updated 3 months ago
- 3d object detection model smoke c++ inference code☆34Updated 2 years ago
- BEVDet online real-time inference using CUDA, TensorRT, ROS1 & C++.☆98Updated 9 months ago
- PointPillars TensorRT version pretrained on MMDetection3d with WaymoOpenDataset☆18Updated 2 years ago
- ☆27Updated 2 years ago
- 搜藏的希望的代码片段☆13Updated last year
- tensorrt sahi yolo 目标检测☆15Updated this week
- FastPillars: A Deployment-friendly Pillar-based 3D Detector☆143Updated last month
- BEVFusion-ROS-TensorRT-CPP real time inference including ros1 & ros2.☆163Updated last month
- The first tensorrt implementation for point-based 3d detector, i.e., 3DSSD,SASA,IA-SSD.☆58Updated last year
- nuscenes2kitti☆23Updated last year
- MV2DFusion☆37Updated 4 months ago
- CenterPoint model trained with MMDetection3d on custom dataset, and deployed with TensorRT☆33Updated last year
- nuscenes2bag☆24Updated last month
- Monocular Lane Detection Based on Deep Learning: A Survey☆60Updated 2 months ago
- ☆48Updated 5 months ago
- data converter for custom dataset using MM3D☆10Updated last year
- ☆37Updated 11 months ago
- mmdetection3d 代码重点注解笔记☆52Updated 8 months ago
- DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets(CVPR2023),vaymo vehicle 3D Object Detection(top2), waymo cyclist 3D Object Detec…☆74Updated last year
- Llama3 Streaming Chat Sample☆22Updated 9 months ago
- ☆29Updated last year
- TensorRT deploy and PTQ/QAT tools development for FastBEV, total time only need 6.9ms!!!