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face-id-with-medical-masks

Face ID recognition with medical masks

falsr

Fast, Accurate and Lightweight Super-Resolution models

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

fewshotwithoutforgetting

ffa-net

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

firenet-lightweight-network-for-fire-detection

fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

garbage-classification-data

生活垃圾分类数据

garbage_classify

最严垃圾分类政策自7月1日颁布，如何进行垃圾分类已经成为居民生活的灵魂拷问。但是，没关系！AI在垃圾分类的应用可以成为居民的得力助手。本次垃圾分类挑战杯，目的在于构建基于深度学习技术的图像分类模型，实现垃圾图片类别的精准识别，大赛参考深圳垃圾分类标准，按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。

gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

gesture-digit-recognition

Gesture digit recognition, 手势数字识别，pytorch和tensorflow实现

gnnpapers

Must-read papers on graph neural networks (GNN)

hainuthesis

hainuthesis-bachelor

handyfigure

HandyFigure provides the sources file (ususally PPT files) for paper figures

hbpn

Image super-resolution using Hierarchical Back Projection Network (HBPN) to achieve good SR performance with low distortion.

hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

hioshop-admin

海风小店,开源商城,微信小程序商城管理后台,后台管理,VUE

hnas-sr

HNAS: Hierarchical Neural Architecture Search for Single Image Super-Resolution

huawei-garbage

2019 Huawei Cloud garbage Classification Competition online score 2th place

human_counter

基于yolo3的人数统计程序

ignn

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution"

image-alignment-and-panoramas

Stitching different perspective images into a single smooth panorama using Laplacian Blending.

image-processing-algorithm

paper implement

image-processing-datasets

image-processing-datasets

image-processing-paper-record

记录图像增强, 恢复, 去噪, deblur等low level vision任务相关论文

imageaugmentation

使用 Numpy 实现图片的翻转，平移，添加噪声

imageutils

计算机视觉课程项目 —— 基于 OpenCV、PyQt 的图片处理工具

imdn

Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019)

insightface

Face Analysis Project on MXNet

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版