🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Command-line program to download videos from YouTube.com and other video sites

The world's simplest facial recognition api for Python and the command line

2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

State-of-the-art 2D and 3D Face Analysis Project

Face recognition using Tensorflow

Gluon CV Toolkit

⛹️ 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

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

SOTA Re-identification Methods and Toolbox

An MXNet implementation of Mask R-CNN

Open source person re-identification library in python

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

Relation Networks for Object Detection

Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)

Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实现

A multi-camera vehicle detection, tracking and re-identification system

Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

Annotations of key point location and vehicle orientation for VeRi-776 dataset. ICCV'17 paper: Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identificat…

Neural Style and MSG-Net

vehicle re-identification baseline for veri and vehicleID dataset

PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.

This is a baseline framework for vehicle re-id on the VeRi dataset, implementated by PyTorch.

Code of the VFL part proposed in the paper: Variational Representation Learning for Vehicle Re-Identification (IEEE ICIP)

Vehicle ReID

cv-from-scratch : Modules for implementing computer vision/image analysis techniques from scratch

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST