Embedl's build nvidia/sparse4d of the original model nvidia/sparse4d_rn50
Sparse4D
- nvidia/tao/sparse4d_rn50:trainable_v2.2
- FP8
- AGX Thor
- Labels
- Image
- Detection
- Build
- Embedl-optimized
- Precision
- FP8 + FP16
- Runtime
- TensorRT 10.13.3.9 with Embedl optimizations
- Cameras
- 13 views, 540×960 each
- Output
- 3D boxes with track IDs
Sparse4D (NVIDIA TAO, ResNet-50) detects and tracks people and vehicles in 3D across 13 warehouse cameras at once.