Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Inference module for RangeNet++ (milioto2019iros, chen2019iros)

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

A fast and memory-efficient libarary for sparse transformer with varying token numbers (e.g., 3D point cloud).

Official implementation of HuBo-VLM.

[IJCV 2024] P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer

Official PyTorch implementation of FocalFormer3D [ICCV 2023]

Add bisenetv2. My implementation of BiSeNet

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

OpenMMLab Detection Toolbox and Benchmark