【A common used C++ DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流

Qt&Vtk 学习实例,移植了大部分官方的实例代码到Qt中。自己写了一个4视图的小程序，停更

A pytorch quantization backend for optimum

nndeploy是一款模型端到端部署框架。以多端推理以及基于有向无环图模型部署为基础，致力为用户提供跨平台、简单易用、高性能的模型部署体验。

GroupMixAttention and GroupMixFormer

[CVPR 2024] Deformable Convolution v4

PyTorch code and models for the DINOv2 self-supervised learning method, own data set and own adapted training.

[CVPR 2023] An academic alternative to Tesla's occupancy network for autonomous driving.

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

[ICCV 2023] OccNet: Scene as Occupancy

Help converting LabelMe Annotation Tool JSON format to YOLO text file format. If you've already marked your segmentation dataset by LabelMe, it's easy to use this tool to help converting to YOLO fo…

How to create custom COCO data set for instance segmentation

[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎

[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

基于TensorRT的C++高性能推理库，Yolov10, YoloPv2，Yolov5/7/X/8，RT-DETR，单目标跟踪OSTrack、LightTrack。

OpenMMLab Model Compression Toolbox and Benchmark.

Curated list of project-based tutorials

🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)

A generative and self-guided robotic agent that endlessly propose and master new skills.

Data generation for Contact-GraspNet training

Parallel programming tutorials

Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home

[CoRL 2022] Generative Category-Level Shape and Pose Estimation with Semantic Primitives

Efficient 6-DoF Grasp Generation in Cluttered Scenes

PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.

(MICCAI23) This is the official code repository for "EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation".

Code for Boundary Difference Over Union Loss For Medical Image Segmentation