Object detection
Models of this kind. A tt-inference-server model's kind is its model type. A tt-model bundle's kind is the task tag on its card. A bundle with no tag was placed here by an inference from its name and manifest, and its card says so.
Community models are tt-model bundles published by their owners and are not in tt-inference-server's release spec. Tenstorrent has not reviewed them. Serve at your own risk.
bevformer-small-weights
BEVFormer-small, a 59.5M-parameter camera-only 3D detector (ResNet-101 with deformable convolutions in stages 3 and 4 and a one-level FPN, a 3-layer spatiotemporal BEV encoder over a 150x150 bird's-eye view that attends to the previous…
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
bevfusion
BEVFusion-L, the lidar-only model of the weights repo (bevfusionlidar.onnx, 8.3M parameters): hard voxelization (0.17 x 0.17 x 0.2 m voxels on a 1440 x 1440 x 41 grid) with a mean voxel encoder, a 21-layer sparse 3D convolution encoder to…
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
camera_streampetr
StreamPETR, an 82M-parameter camera-only 3D detector with a temporal object memory: a VoVNet-99-eSE + CPFPN image backbone on five cameras at 480x640, the PETR 3D position embedding (computed once per calibration) and a 6-layer transformer…
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
image_projection_based_fusion
PointPainting, a camera-LiDAR 3D object detector: the 2-D detections (ROIs) of up to 8 rectified cameras are projected onto the LiDAR points as 3 additive class bits, then a PointPillars pillar encoder (PFN 12-16-32), a SECOND backbone, a…
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
lidar_centerpoint
CenterPoint, the LiDAR 3D object detector Autoware runs by default, and its CenterPoint-tiny variant: a PointPillars pillar encoder (PFN 9-16-32), a SECOND backbone, a SECONDFPN neck and a single-task CenterPoint head, on a 480x480 head…
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
lidar_transfusion
TransFusion-L (t4xx190m), the LiDAR-only TransFusion detector of Autoware's opt-in lidartransfusion node: a PointPillars pillar encoder (11 decorated features, PFN 32-64) on a 768x768 pillar grid, a SECOND backbone, a SECONDFPN neck and a…
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
LocateAnything-3B
Published as 1 tt-model bundle by changh95.
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
ptv3
Point Transformer V3, a 34.0M-parameter LiDAR network: 0.12 m voxels serialized along two Morton curves, a 5-stage encoder (sparse-conv positional encoding, attention over patches of 512 voxels, grid pooling; about 0.36 TFLOPs on a…
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
rf-detr-base
Published as 1 tt-model bundle by changh95.
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
tensorrt_bevdet
BEVDet-R50-4DLongterm-Depth, a 76M-parameter camera-only 3D detector with temporal fusion: a ResNet-50 + FPN image encoder with a camera-aware depth network (118 depth bins) on six cameras at 256x704, a BEVPool v2 lift-splat into a 128 x…
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
tensorrt_yolox
YOLOX-s+ seg16, a 15.5M-parameter single-stage camera detector (ELAN CSPDarknet backbone, PAFPN neck, anchor-free decoupled head on strides 8, 16 and 32) with a 16-class semantic-segmentation decoder, run on a 960x960 letterboxed input…
- Runs on
- p150
- Status
- Not in the release spec
- tt launch
- None
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