Models and examples built with TensorFlow

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

real time face swap and one-click video deepfake with only a single image

提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

OpenMMLab Detection Toolbox and Benchmark

deep learning for image processing including classification and object-detection etc.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Fast and Accurate ML in 3 Lines of Code

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

OpenMMLab Computer Vision Foundation

PyTorch ,ONNX and TensorRT implementation of YOLOv4

「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。

记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

PyTorch implementation of YOLOv4

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

Simple samples for TensorRT programming

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

PyTorch Implementation for Deep Metric Learning Pipelines

Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent…

PyTorch Implementation for SoftTriple Loss

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository

[ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching

Official PyTorch implementation of Learning Intra-Batch Connections for Deep Metric Learning (ICML 2021) published at International Conference on Machine Learning