1309399's starred repositories
ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
GazeTracking
👀 Eye Tracking library easily implementable to your projects
AI-basketball-analysis
:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
vehicle-license-plate-recognition
:fire: :fire::fire:基于Python的车牌检测和识别系统:
football_analysis
This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and perspective transformation to analyze player movements in football videos
ncnn-android-yolov8
Real time yolov8 Android demo by ncnn
roboflow-100-benchmark
Code for replicating Roboflow 100 benchmark results and programmatically downloading benchmark datasets
FashionAI-KeyPointsDetectionOfApparel
FashionAI Key Points Detection using CPN model in Pytorch
Path-Planning
路径规划算法,A*,A-star启发搜索,Hybrid-A*,混合A*算法,Dijkstra迪杰斯特拉算法,GBFS贪婪最佳优先搜索算法,DFS深度优先搜索,BFS广度优先搜索算法等,车辆路径规划算法,小黑子路径规划
FashionAI_KeyPoint_Detection_Challenge_Keras
Code for TianChi 2018 FashionAI Cloth KeyPoint Detection Challenge
Intelligent-Elderly-Care
基于计算机视觉的智慧养老系统通过(模拟)多组摄像头实时拍摄到的画面,用计算机视觉技术实时分析老人的情感、是否有人摔倒、是否有人闯入禁止区域、老人是否有和义工互动、分析是否有陌生人出现并追踪陌生人。一旦上述事件发生,该事件会立即插入到数据库中。这些事件数据被实时地更新在报表中,管理人员因此可以迅速做出反应,从而可以提高管理人员的服务水平和管理能力。本系统分为2部分,分别是 Web 用户界面和基于计算机视觉的摄像头(群组)。本仓库提供了计算机视觉部分的任务及实现。
ncnn_android_yolov8
QT+NCNN 小米手机运行YOLOv8s
ncnn-examples
Learning ncnn with some examples
ncnn-android-yolov5
cv_research项目-移动端NCNN部署,项目支持YOLOv5s等模型,摄像头实时捕获视频流进行检测,也可以上传图片或者视频进行检测!
safety-helmet-detection-in-real-time-video
A warning video system of whether the people in the video wear helmet, extending YOLO.
PyQt5_YoLoV5_DeepSort
This is a PyQt5 GUI program, which is based on YoloV5 and DeepSort to track person, and give a warning when someone comes to the "dangerous area".
DeadEye-Auto-Aiming-System
基于Yolo的辅助瞄准系统,高度模块化编写,也可以用于光学控制、监控物体追踪等领域,持续更新中,仅供交流学习使用。An auto-aiming system, or aim bot, which is mainly based on Yolo. Can be easily used in different areas such as optical control, monitoring object tracking. I will keep fixing bugs and adding new features.
Pothole-Detection-Pothole-Detection-using-python-and-deep-learning
Pothole Detection || Pothole Detection using python and deep learning
pothole_detection_yolov8
Pothole Detection using Ultralytics YOLOv8.
ebikedetection
本项目用于识别电梯监控视角内的电动车以及自行车。基于电梯内视角数据集对yolo预训练模型进行微调。提供了基于检测的方法与基于跟踪的方法。基于检测的方法会对检测到有目标实例的每一帧返回标注图像, 基于跟踪的方法则在此基础上进行了去重。
Fall-Detection
This repo contains code for the fall detection youtube tutorial
yolov8-fire-car-and-smoke-detection
Deep Learning-Based Fire Vehicle Detection and Real-Time Warning System 基於深度學習的火災車輛偵測及即時預警系統
Pothole_detection_YOLOv5
it's a road pothole detection webapp using YOLOv5
Poker-board-tracker
Using YOLO and roboflow to track poker cards
Ploker-Card-Detection
In this i have created a object detection model by using YOLO from ultralytics to detect the poker cards