Zmoonzxz

Zmoonzxz's Stars

• bubbliiiing/yolox-pytorch

  这是一个yolox-pytorch的源码，可以用于训练自己的模型。

  Language:Python890185

• Megvii-BaseDetection/YOLOX

  YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  Language:Python9.5k2.2k

• deepcam-cn/yolov5-face

  YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)

  Language:Python2.1k503

• l-sf/Linfer

  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。

  Language:C++16021

• MaxRondelli/HRNet-with-Custom-Dataset

  Language:Cuda2

• THU-MIG/yolov10

  YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

  Language:Python10k999

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python9k1.4k

• zengwb-lx/yolov5-deepsort-pedestrian-counting

  yolov5 + deepsort实现了行人计数功能， 统计摄像头内出现过的总人数，以及对穿越自定义黄线行人计数效果如下

  Language:Jupyter Notebook14952

• xialuxi/yolov5_face_landmark

  基于yolov5的人脸检测，带关键点检测

  Language:Python23853

• gengyanlei/reflective-clothes-detect-yolov5

  reflective-clothes-detect-dataset、helemet detection yolov5、工作服(反光衣)检测数据集、安全帽检测、施工人员穿戴检测

  Language:Jupyter Notebook462101

• HuKai97/yolov5-5.x-annotations

  一个基于yolov5-5.0的中文注释版本！

  Language:Python647133

• Gumpest/YOLOv5-Multibackbone-Compression

  YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.

  Language:Python998202

• dyh/unbox_yolov5_deepsort_counting

  yolov5 deepsort 行人 车辆 跟踪 检测 计数

  Language:Python952243

• Sharpiless/Yolov5-deepsort-inference

  Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中

  Language:Python1.2k280

• 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:Cuda4.3k914

• lironui/ABCNet

  The semantic segmentation of remote sensing images

  Language:Python343

• VSainteuf/pastis-benchmark

  Language:Jupyter Notebook20138

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.5k1.9k

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML113k15.5k

• danfenghong/ISPRS_S2FL

  Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model, ISPRS JP&RS, 2021.

  Language:MATLAB10711

• Genie-Kim/PintheMemory

  Pin the Memory (CVPR 2022): Official Project Webpage

  Language:Python403

• hpc203/yolov5-dnn-cpp-python

  用opencv的dnn模块做yolov5目标检测，包含C++和Python两个版本的程序

  Language:Python515124

• enpeizhao/CVprojects

  computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）

  Language:Jupyter Notebook2.2k676

• shouxieai/tensorRT_Pro

  C++ library based on tensorrt integration

  Language:C++2.6k549

• YuzhouPeng/unet-tensorrt

  this is a tensorrt version unet, inspired by tensorrtx

  Language:C++3611

• wang-xinyu/tensorrtx

  Implementation of popular deep learning networks with TensorRT network definition API

  Language:C++7k1.8k

• AnkurDeria/MFT

  Pytorch implementation of Multimodal Fusion Transformer for Remote Sensing Image Classification.

  Language:Jupyter Notebook18620

• nshaud/DeepNetsForEO

  Deep networks for Earth Observation

  Language:Jupyter Notebook477169

• sithu31296/semantic-segmentation

  SOTA Semantic Segmentation Models in PyTorch

  Language:Python860154

• microsoft/CSWin-Transformer

  CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022

  Language:Python54877