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pytorch-yolov7-deepsort

an implentation of yolov7-deepsort based on pytorch

qml_with_yolov7

用YOLOV7+ByteTrack的方法识别视频/视频流，用QML绘制GUI，并带有统计信息。

realtime_human_counting_flask_yolov5

This is a project to count human in realtime with webcam or uploading video file using yolov5 and flask

sahi-detectron

SAHIDET2: SAHI Kullanarak Yüksek Doğruluklu Nesne Tespit Uygulaması Yap!

sahi-yolox-onnx-sample

SAHI(Slicing Aided Hyper Inference)をYOLOX(ONNX)で動かしたサンプル

salient-extract

Salient feature extractor based on yoloV8

segment-anything-video

MetaSeg: Packaged version of the Segment Anything repository

silu_to_relu_onnx

The python script to convert ONNX models SiLU activation layers in YOLOv5 or YOLOv8 to ReLU or LeakyReLU.

smart_construction

Base on YOLOv5 Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗

smartagriculture

基于Vue+ElementUI+Flask+Mysql/Sqlite+Yolov5(Pytorch)技术栈实现的智慧农场系统

smartiv_yolov5

基于yolov5的高速公路及城市道路车辆视觉检测(CIAC)

streamlit-yolo

Display predicted Video, Images and webcam using YOLO models (YOLOv7 & YOLOv8) with Streamlit

streamlit_yolov7

Web application with Streamlit with YoloV7

tensorrt-alpha

TensorRT-Alpha implements CUDA accelerated deployment of more than 30 models, including but not limited to yolov8, yolov7, yolov6, yolov5, yolov4, yolov3, yolox, yolor based on subsequent Vision-Tranformer related deep learning models

tensorrt-centernet

tensorrt5 , centernet , centerface, deform conv, int8

tensorrt-fastsam

TensorRT-FastSAM(https://github.com/CASIA-IVA-Lab/FastSAM)

tensorrt-for-yolo-series

tensorrt for yolo series (YOLOv8, YOLOv7, YOLOv6....), nms plugin support

tensorrt_inference_demo

A repo that uses TensorRT to deploy wll-trained models.Support RTDETR,YOLO-NAS,YOLOV5,YOLOV6,YOLOV7,YOLOV8,YOLOX.

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

tireddetector

疲劳检测

torch-pruning

[CVPR-2023] Towards Any Structural Pruning; LLMs / Diffusion / Transformers / YOLOv8 / CNNs

torchyolo

PyTorch implementation of YOLOv5, YOLOv6, YOLOv7, YOLOv8, Sort, StrongSort, OcSort, ByteTrack, Norfair

tph-yolov5

traffic-sign-recognition-pyqt5-yolov5-gui

这是一个基于YOLOv5🚀的道路标志识别系统😊，使用了MySQL数据库💽，PyQt5进行界面设计🎨，PyTorch深度学习框架和TensorRT进行加速⚡，同时包含了CSS样式🌈。系统由五个主要模块组成：系统登录模块🔑负责用户登陆；初始化参数模块📋提供YOLOv5模型的初始化参数设置；标志识别模块🔍是系统的核心，负责对道路标志进行识别并将结果导入数据库；数据库模块💾包含基本数据库操作和数据分析两个子模块；图像处理模块🖼️负责单个图像的处理和数据增强。整个系统支持多种数据输入和模型切换，提供了包括mossic和mixup在内的图像增强方法📈。

training_bbd100k_dataset_with_yolov5_and_yolov8

Convert A XML_VOC annotations of the BDD100k dataset to YOLO format and training a custom dataset for vehicles with YOLOv5, YOLOv8

turning_movement_counter_yolov7_strongsort_osnet

Intersection turning movement counter with object tracking

umi-ocr

OCR图片转文字识别软件，完全离线。截屏/批量导入图片，支持多国语言、合并段落、竖排文字。可排除水印区域，提取干净的文本。基于 PaddleOCR 。

vehicle-tracking

Vehicle tracking yolov5 + deepsort

vehicle_detection_and_counting_system

Building a small demo system to detect and count vehicle using Streamlit framework

vehicledetectcounting-pyqt5_gui-yolov8