image-retrieval

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Torchreid: Deep learning person re-identification in PyTorch.

⛹ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

SOTA Re-identification Methods and Toolbox

Visual localization made easy with hloc

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance

📝Awesome and classical image retrieval papers

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

👫 Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) 👫

Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥

🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code

Open source library for content based image retrieval / visual information retrieval.

Deep Metric Learning

A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.

Simple image search engine

🏞 A content-based image retrieval (CBIR) system

🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

Various hashing methods for image retrieval and serves as the baselines

A powerful baseline for image classification, face recognition and image retrieval with Pytorch