lxbhahaha

lxbhahaha's Stars

• NVIDIA/TensorRT

  NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

  Language:C++10.7k1573.8k2.1k

• wang-xinyu/tensorrtx

  Implementation of popular deep learning networks with TensorRT network definition API

  Language:C++7k1041.3k1.8k

• shiftkey/desktop

  Fork of GitHub Desktop to support various Linux distributions

  Language:TypeScript6.8k127724519

• NVIDIA-AI-IOT/torch2trt

  An easy to use PyTorch to TensorRT converter

  Language:Python4.6k73724676

• leoxiaobin/deep-high-resolution-net.pytorch

  The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

  Language:Cuda4.3k76291910

• open-mmlab/mmaction2

  OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

  Language:Python4.3k431.4k1.2k

• jinwchoi/awesome-action-recognition

  A curated list of action recognition and related area resources

  3.8k2079725

• open-mmlab/mmskeleton

  A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

  Language:Python2.9k704511k

• winscp/winscp

  WinSCP is a popular free SFTP and FTP client for Windows, a powerful file manager that will improve your productivity. It supports also Amazon S3, FTPS, SCP and WebDAV protocols, as well as copying between two local directories. Power users can automate WinSCP using .NET assembly.

  Language:C2.7k710322

• shouxieai/tensorRT_Pro

  C++ library based on tensorrt integration

  Language:C++2.6k34215549

• 1265578519/ShanaEncoder

  ShanaEncoder，最强的视频压制软件，支持CPU和GPU同时工作，速度快，清晰度高，B站指定压制工具

  1.8k3517153

• NVIDIA/trt-samples-for-hackathon-cn

  Simple samples for TensorRT programming

  Language:Python1.5k2092341

• HRNet/HigherHRNet-Human-Pose-Estimation

  This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)

  Language:Python1.3k46117271

• diwi/PixelFlow

  A Processing/Java library for high performance GPU-Computing (GLSL). Fluid Simulation + SoftBody Dynamics + Optical Flow + Rendering + Image Processing + Particle Systems + Physics +...

  Language:Java1.2k8139132

• jilleJr/Newtonsoft.Json-for-Unity

  Newtonsoft.Json (Json.NET) 10.0.3, 11.0.2, 12.0.3, & 13.0.1 for Unity IL2CPP builds, available via Unity Package Manager

  Language:C#1k1871109

• kennymckormick/pyskl

  A toolbox for skeleton-based action recognition.

  Language:Python96313219182

• Vegetebird/MHFormer

  [CVPR 2022] MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

  Language:Python528106985

• kenziyuliu/MS-G3D

  [CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

  Language:Python428155597

• Pose-Group/DCPose

  This is an official implementation of our CVPR 2021 paper "Deep Dual Consecutive Network for Human Pose Estimation" (https://openaccess.thecvf.com/content/CVPR2021/papers/Liu_Deep_Dual_Consecutive_Network_for_Human_Pose_Estimation_CVPR_2021_paper.pdf)

  Language:Python379104961

• clatterrr/FluidSimulationTutorialsUnity

  Language:Python3718069

• Jeff-sjtu/CrowdPose

  CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark, CVPR 2019, Oral

  Language:Python30992338

• liruilong940607/OCHumanApi

  API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

  Language:Python25781243

• Embracing/GFPose

  Official implementation for the CVPR2023 paper: "GFPose: Learning 3D Human Pose Prior with Gradient Fields"

  Language:Python123796

• Go1c/UnityWater

  Unity下实现卡通水面、交互水面、屏幕后处理无限大水面效果

  Language:C#52406

• kennethwdk/CID

  Code for "Contextual Instance Decoupling for Robust Multi-Person Pose Estimation", CVPR 2022 Oral

  Language:Python5011111

• fmthoker/skeleton-contrast

  Language:Python423115

• cherubicXN/logocap

  Offical code of LOGO-CAP (CVPR' 22). https://arxiv.org/abs/2109.03622

  Language:Python33457

• BoyanJIANG/H4D

  This is the official PyTorch implementation of the CVPR'2022 paper "H4D: Human 4D Modeling by Learning Neural Compositional Representation".

  Language:Python31313

• VAherggoooooo/NS_demo

  Language:C#81

• HYPER-THEORY/MMMocap

  Multi-view multi-person motion capture.

  Language:C++2