Embedl's build embedl/bevformer-base of the original model fundamentalvision/BEVFormer
- fundamentalvision/BEVFormer
- FP16
- AGX Orin
- Labels
- Image
- Detection
- Build
- Baseline
- Precision
- FP16
- Runtime
- TensorRT 8.5.1.7 with BEVFormer_tensorrt plugins
- Cameras
- 6 views, 1600×928 each
- BEV grid
- 200×200
BEVFormer-base (R101-DCN backbone) detects 3D objects in the ten nuScenes classes from six surround-view cameras.
BEVFormer is by Zhiqi Li et al. (arXiv:2203.17270), Apache-2.0, at fundamentalvision/BEVFormer; the TensorRT export and plugins are from DerryHub/BEVFormer_tensorrt, Apache-2.0.
Methodology
- Latency: trtexec GPU compute time of the TensorRT 8.5.1.7 FP16 engine on the Jetson AGX Orin, batch 1, one nuScenes sample (six cameras); mean, p99 and throughput from the same run.
- Accuracy: NDS and mAP on the 6,019-sample nuScenes validation set, evaluated in PyTorch FP16 on an NVIDIA L4 with BEVFormer_tensorrt’s bevformer_base_trt_p config, not on the device engine. The BEVFormer model zoo’s numbers are shown beside it.
- Build: exported to ONNX with DerryHub/BEVFormer_tensorrt and compiled on the device with trtexec --fp16 and its plugin library, which the runtime image carries. No Embedl optimization.
Files
Variants
Every build of BEVFormer-base on AGX Orin.