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fundamentalvision/BEVFormer

Embedl's build embedl/bevformer-base of the original model fundamentalvision/BEVFormer

fp16
BEVFormer-base architecture graph
BEVFormer-base architecture graph
  • 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.

Files

Artifacts

What ships in the model bundle.

File Kind Size sha256
TensorRT engine

engine/bevformer_base_trt_p_cp_trtexec.engine

 Engine 145.7 MiB caf0a8c2e53e
trtexec build log

logs/trtexec_build.log

 Log 12.3 MiB 7406f6ecb99a
HTTP server for the engine (serve.sh --port 8000)

engine/serve.sh

 script 2 KiB c59eaebcab93
Model settings

bevformer.json

 Config 392 B 074ae51a4b3c
Latency (trtexec)

benchmark/metrics.json

 Results 4 KiB 55d770c357f8
Accuracy (PyTorch, on the host)

benchmark/accuracy.json

 Results 269 B 22f86bfbd7eb
nuScenes sample (engine inputs, .npz)

inference/nuscenes_sample.npz

 sample 141.0 MiB 2eee86c41ff9
Detections for the sample

inference/detections.json

 Results 102 KiB b48a67c18336
BEVFormer_tensorrt licence

LICENSE-BEVFormer_tensorrt

 license 11 KiB c71d239df917