Pinned Repositories
AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
CGraph
【A simple C++ DAG framework】 一个简单好用的、无任何三方依赖的、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
CThreadPool
【A simple used C++ threadpool】一个简单好用，性能优异的跨平台的C++线程池。欢迎 star & fork
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
FastDeploy
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
Image-processing-algorithm
paper implement
LBP_SVM
tbb_for_Images_Processing
使用tbb加速的一些图像处理的基础算法
Zhouzg0226's Repositories
Zhouzg0226/tbb_for_Images_Processing
使用tbb加速的一些图像处理的基础算法
Zhouzg0226/LBP_SVM
Zhouzg0226/Image-processing-algorithm
paper implement
Zhouzg0226/CGraph
【A simple C++ DAG framework】 一个简单好用的、无任何三方依赖的、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
Zhouzg0226/AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Zhouzg0226/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
Zhouzg0226/CThreadPool
【A simple used C++ threadpool】一个简单好用，性能优异的跨平台的C++线程池。欢迎 star & fork
Zhouzg0226/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Zhouzg0226/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Zhouzg0226/FastDeploy
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
Zhouzg0226/fish_vision
This project contains a ROS system for a robotic fish. The focus of current development is computer vision for obstacle avoidance.
Zhouzg0226/learning-cuda-trt
A large number of cuda/tensorrt cases . 大量案例来学习cuda/tensorrt
Zhouzg0226/libpinyin
Library to deal with pinyin.
Zhouzg0226/lite.ai
Lite.AI 🚀🚀🌟 is a user-friendly C++ lib for awesome🔥🔥🔥 AI models based on onnxruntime, ncnn or mnn. YOLOX🔥, YoloV5🔥, YoloV4🔥, DeepLabV3🔥, ArcFace🔥, CosFace🔥, Colorization🔥, SSD🔥, etc.
Zhouzg0226/mmdeploy
OpenMMLab Model Deployment Framework
Zhouzg0226/mmdetection
OpenMMLab Detection Toolbox and Benchmark
Zhouzg0226/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Zhouzg0226/pytorchOCR
基于pytorch的ocr算法库，包括 psenet, pan, dbnet, sast , crnn
Zhouzg0226/spdlog
Fast C++ logging library.
Zhouzg0226/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
Zhouzg0226/utils_native
General-purpose C++ classes and functions | 通用的C++功能函数和类
Zhouzg0226/yolact-opencv-dnn-cpp-python
使用opencv部署yolact实例分割，包含C++和Python两种版本的程序
Zhouzg0226/yolo-tensorrt
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
Zhouzg0226/YOLO-World
Real-Time Open-Vocabulary Object Detection
Zhouzg0226/yolo3-pytorch
这是一个yolo3-pytorch的源码，可以用于训练自己的模型。
Zhouzg0226/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Zhouzg0226/yolov5_rotation
Zhouzg0226/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Zhouzg0226/YOLOv8
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Zhouzg0226/yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information