A general python framework for visual object tracking and video object segmentation, based on PyTorch. Official implementation of the RTS (ECCV 2022), ToMP (CVPR 2022), KeepTrack (ICCV 2021), LWL (ECCV 2020), KYS (ECCV 2020), PrDiMP (CVPR 2020), DiMP (ICCV 2019), and ATOM (CVPR 2019) trackers, including complete training code and trained models.
Features
- All common tracking and video object segmentation datasets
- Scripts to analyse tracker performance and obtain standard performance scores
- General building blocks, including deep networks, optimization, feature extraction and utilities for correlation filter tracking
- All common training datasets for visual object tracking and segmentation
- Functions for data sampling, processing etc.
- Network modules for visual tracking.
Project Samples
Categories
Object Detection ModelsLicense
GNU General Public License version 3.0 (GPLv3)Follow PyTracking
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of PyTracking!