erfanakk

boxmot

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

Yolov7-tracker

Yolo X, v7, v8 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in your own projects.

Construction-Hazard-Detection

Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

AS-One

Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.

norfair

Lightweight Python library for adding real-time multi-object tracking to any detector.

Computer-Vision-Resources

Created by Mehmet Zahid Genç

stitching

A Python package for fast and robust Image Stitching

ITSP-Project

Offside Detection in Football using Computer Vision algorithm

Data-Analysis

Data Science Using Python

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

football-crunching

Analysis and datasets about football (soccer)

tracklab

A modular end-to-end tracking framework for research and development

football_analytics

📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

sports

computer vision and sports

SportsLabKit

A python package for turning sports video into csv files

HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

resumeio-to-pdf

Download your resume from resume.io as PDF

SegNet_PyTorch

PyTorch implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

SegLossOdyssey

A collection of loss functions for medical image segmentation

telegram-bot-shop

🖥 This telegram bot that sets up store. It has admin panel, database and many other interesting things

Telegram-Bot-Shop

AutoShop in Telegram. There is a cool admin panel where you can configure everything.

Transfer-Learning-U-Net-Deep-Learning-for-Lung-Ultrasound-Segmentation

Deep-KAN

This repository contains a better implementation of Kolmogorov-Arnold networks

pykan

Kolmogorov Arnold Networks

tutorials

CatBoost tutorials repository

TrackNet

Unofficial PyTorch implementation of TrackNet

TennisCourtDetector

Deep learning network for detecting tennis court

human

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition