Gavin666Github's repositories

reid-mgn

Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification

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Human-Falling-Detect-Tracks

AlphaPose + ST-GCN + SORT.

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A-Light-and-Fast-Face-Detector-for-Edge-Devices

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

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AlphAction

Spatio-Temporal Action Localization System

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BiSeNet

Add bisenetv2. My implementation of BiSeNet

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darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

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DeepLearningDeployment

Examples and tools for deep learning deployment

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EGNet

EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)

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insightface

Face Analysis Project on MXNet

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mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

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mmdetection

Open MMLab Detection Toolbox and Benchmark

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mmrotate

OpenMMLab Rotated Object Detection Toolbox and Benchmark

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MotionPathsExtraction

Approach to extract motion paths (trajectories) of vehicles and pedestrians from videos (Multiple object detection & tracking)

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MultiCarDetection

基于YOLOV3、卡尔曼滤波、匈牙利算法、虚拟线圈的车流量检测项目

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OCR_DataSet

收集并整理有关OCR的数据集并统一标注格式,以便实验需要

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PolarMask

code coming soon (preparing)

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PytorchOCR

基于Pytorch的OCR工具库,支持常用的文字检测和识别算法

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pytracking

Visual tracking library based on PyTorch.

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ReID-Survey

Deep Learning for Person Re-identification: A Survey and Outlook

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RotationDetection

This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.

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segmentation_models

Segmentation models with pretrained backbones. Keras.

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Smart_Construction

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!!!😆🚀

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Spider_baidu_image

爬取百度图片 爬虫

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TensorExpand

集成包

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WorkControl

变电站作业管控平台。包括人脸识别考勤,移动目标跟踪,越线检测,安全措施检测,姿态识别等功能。

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YoloAll

YoloAll is a collection of yolo all versions. you you use YoloAll to test yolov3/yolov5/yolox/yolo_fastest

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YOLOP

You Only Look Once for Panopitic Driving Perception.(https://arxiv.org/abs/2108.11250)

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yolov3-1

YOLOv3 in PyTorch > ONNX > CoreML > iOS

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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