Hongyuan-Liu

Hongyuan-Liu's Stars

• DefTruth/lite.ai.toolkit

  🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN, TNN, NCNN and TensorRT.

  Language:C++3.6k680

• szad670401/HyperLPR

  基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

  Language:C++5.7k2k

• cqu20160901/yolov8pose_rknn_Cplusplus

  yolov8pose 瑞芯微 rknn 板端 C++部署。

  Language:C296

• niceNASA/CenterNetPointerReader

  基于CenterNet实现的轮廓式仪表盘识别系统

  Language:JavaScript21

• btx0424/OmniDrones

  Language:Python13424

• blakeblackshear/frigate

  NVR with realtime local object detection for IP cameras

  Language:Python17.6k1.6k

• alexw914/RK_VideoPipe

  Language:C++599

• cqu20160901/yoloworld-rknn-Cplusplus

  Language:C61

• laugh12321/TensorRT-YOLO

  🚀 你的YOLO部署神器。TensorRT Plugin、CUDA Kernel、CUDA Graphs三管齐下，享受闪电般的推理速度。| Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds.

  Language:C++44356

• kaylorchen/rk3588-yolo-demo

  The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second.

  Language:C++15523

• sophgo/sophon-stream

  Language:C++6510

• NVIDIA-AI-IOT/nanoowl

  A project that optimizes OWL-ViT for real-time inference with NVIDIA TensorRT.

  Language:Python22542

• flet-dev/flet

  Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

  Language:Python10.7k415

• sherlockchou86/VideoPipe

  跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : ) 。**VideoPipe下一版本正在开发中，在保证跨平台、易上手的前提下，预计性能直逼deepstream等各硬件平台官方框架**。

  Language:C++1.3k193

• wenyi5608/GroundingDINO

  Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python204

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.1k637

• longzw1997/Open-GroundingDino

  This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

  Language:Python36254

• yblir/GroundingDINO

  Language:Python1

• hpc203/GroundingDINO-onnxrun

  使用onnxruntime部署GroundingDINO开放世界目标检测，包含C++和Python两个版本的程序

  Language:Python324

• JasonSloan/learning-notebook

  深度学习, especially CV

  Language:C++295

• tsingmicro-toolchain/OnnxSlim

  A Toolkit to Help Optimize Large Onnx Model

  Language:Python1339

• leafqycc/rknn-cpp-Multithreading

  A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。

  Language:C41180

• torchpipe/torchpipe

  Serving Inside Pytorch

  Language:C++14012

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python36.3k4.5k

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++64.1k9.2k

• wenda-LLM/wenda

  闻达：一个LLM调用平台。目标为针对特定环境的高效内容生成，同时考虑个人和中小企业的计算资源局限性，以及知识安全和私密性问题

  Language:JavaScript6.2k809

• BabitMF/bmf

  Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.

  Language:C++75263

• kivenyangming/OpencvSocket

  这是一个使用opencv读取视频并使用socket进行传输视频画面的脚本文件，相较于调用ffmpeg传输节约了90%的数据量

  Language:C++112

• sesmfs/onnx_quant_tool

  An onnx-based quantitation tool.

  Language:Python6810

• 1461521844lijin/trt_yolo_video_pipeline

  TensorRT+YOLO系列的 多路 多卡 多实例 并行视频分析处理案例

  Language:C++21241