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metadata
library_name: mapdet3d
license: apache-2.0
pipeline_tag: object-detection
tags:
- arxiv:2608.12179
- model_hub_mixin
- object-detection
- pytorch_model_hub_mixin
This model has been pushed to the Hub using the PytorchModelHubMixin integration:
Usage:
import torch
from mapdet3d.model.mapdet3d import MapDet3D
from mapdet3d.op.mapdet3d.head import RoI2Det
device = "cuda" if torch.cuda.is_available() else "cpu"
# TF32
torch.backends.cuda.matmul.allow_tf32 = True
torch.backends.cudnn.allow_tf32 = True
torch.set_float32_matmul_precision("highest")
# Init model
model = MapDet3D.from_pretrained("RoyYang0714/Map-Det3D").to(device)
# (Optional) Enable tracking
model.track_whole_scene = True
model.roi2det = RoI2Det(nms=True, score_threshold=0.25, iou_threshold=0.5)
# Inference
model.eval()
with torch.no_grad():
with torch.autocast("cuda", enabled=True, dtype=torch.bfloat16):
predictions: MapDet3DOut = model(
images=[image],
intrinsics=[intrinsics],
extrinsics=[extrinsics],
frame_ids=[frame_id],
)