2418 Repositories
Python image-dataset-augmentation Libraries
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation By Vladimir Iglovikov and Alexey Shvets Introduction TernausNet is
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras. Implementation of various Deep Image Segmentation mo
Generic U-Net Tensorflow implementation for image segmentation
Tensorflow Unet Warning This project is discontinued in favour of a Tensorflow 2 compatible reimplementation of this project found under https://githu
U-Net: Convolutional Networks for Biomedical Image Segmentation
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras This tutorial shows how to use Keras library to build deep ne
Modification of convolutional neural net "UNET" for image segmentation in Keras framework
ZF_UNET_224 Pretrained Model Modification of convolutional neural net "UNET" for image segmentation in Keras framework Requirements Python 3.*, Keras
unet for image segmentation
Implementation of deep learning framework -- Unet, using Keras The architecture was inspired by U-Net: Convolutional Networks for Biomedical Image Seg
Official Python implementation of the 'Sparse deconvolution'-v0.3.0
Sparse deconvolution Python v0.3.0 Official Python implementation of the 'Sparse deconvolution', and the CPU (NumPy) and GPU (CuPy) calculation backen
Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells.
Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells. The project retrains itself after every prediction, making it more robust and generalized over time.
CNN Based Meta-Learning for Noisy Image Classification and Template Matching
CNN Based Meta-Learning for Noisy Image Classification and Template Matching Introduction This master thesis used a few-shot meta learning approach to
Recommendation System to recommend top books from the dataset
recommendersystem Recommendation System to recommend top books from the dataset Introduction The recom.py is the main program code. The dataset is als
Python dataset creator to construct datasets composed of OpenFace extracted features and Shimmer3 GSR+ Sensor datas
Python dataset creator to construct datasets composed of OpenFace extracted features and Shimmer3 GSR+ Sensor datas
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021)
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi Code
FS-Mol: A Few-Shot Learning Dataset of Molecules
FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation benchmark which aims to drive few-shot learning research in the domain of molecules and graph-structured data.
A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.
A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
TTSR Official PyTorch implementation of the paper Learning Texture Transformer Network for Image Super-Resolution accepted in CVPR 2020. Contents Intr
Screenhook is a script that captures an image of a web page and send it to a discord webhook.
screenshot from the web for discord webhooks screenhook is a script that captures an image of a web page and send it to a discord webhook.
Half Instance Normalization Network for Image Restoration
HINet Half Instance Normalization Network for Image Restoration, based on https://github.com/megvii-model/HINet. Dependencies NumPy PyTorch, preferabl
Docker image for epicseven gvg qq chatbot based on Xunbot
XUN_Langskip XUN 是一个基于 NoneBot 和 酷Q 的功能型QQ机器人,目前提供了音乐点播、音乐推荐、天气查询、RSSHub订阅、使用帮助、识图、识番、搜番、上车、磁力搜索、地震速报、计算、日语词典、翻译、自我检查,权限等级功能,由于是为了完成自己在群里的承诺,一时兴起才做的,所
Bulk convert image types with Python
Bulk Image Converter 🔥 Helper script to convert a folder's worth of images from one filetype to another, and optionally delete originals Use Setup /
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel This repository is the official PyTorch implementation of BSRDM w
A PyTorch Image-Classification With AlexNet And ResNet50.
PyTorch 图像分类 依赖库的下载与安装 在终端中执行 pip install -r -requirements.txt 完成项目依赖库的安装 使用方式 数据集的准备 STL10 数据集 下载:STL-10 Dataset 存储位置:将下载后的数据集中 train_X.bin,train_y.b
Hide secret data within a digital image using good ol' terminal
pystego Hide secret data within a digital image using good ol' terminal Installation The recommended way for installing this package is using, python
Weakly Supervised 3D Object Detection from Point Cloud with Only Image Level Annotation
SCCKTIM Weakly Supervised 3D Object Detection from Point Cloud with Only Image-Level Annotation Our code will be available soon. The class knowledge t
ProsePainter combines direct digital painting with real-time guided machine-learning based image optimization.
ProsePainter Create images by painting with words. ProsePainter combines direct digital painting with real-time guided machine-learning based image op
Aydin is a user-friendly, feature-rich, and fast image denoising tool
Aydin is a user-friendly, feature-rich, and fast image denoising tool that provides a number of self-supervised, auto-tuned, and unsupervised image denoising algorithms.
Code and models for "Pano3D: A Holistic Benchmark and a Solid Baseline for 360 Depth Estimation", OmniCV Workshop @ CVPR21.
Pano3D A Holistic Benchmark and a Solid Baseline for 360o Depth Estimation Pano3D is a new benchmark for depth estimation from spherical panoramas. We
This project uses Template Matching technique for object detecting by detection of template image over base image.
Object Detection Project Using OpenCV This project uses Template Matching technique for object detecting by detection the template image over base ima
This repo. is an implementation of ACFFNet, which is accepted for in Image and Vision Computing.
Attention-Guided-Contextual-Feature-Fusion-Network-for-Salient-Object-Detection This repo. is an implementation of ACFFNet, which is accepted for in I
MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python
Digital Image Processing Python MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python TO-DO: Refactor scripts, curren
Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation
Flexible-CLmser: Regularized Feedback Connections for Biomedical Image Segmentation The skip connections in U-Net pass features from the levels of enc
Facial Image Inpainting with Semantic Control
Facial Image Inpainting with Semantic Control In this repo, we provide a model for the controllable facial image inpainting task. This model enables u
HyperBlend is a new type of hyperspectral image simulator based on Blender.
HyperBlend version 0.1.0 This is the HyperBlend leaf spectra simulator developed in Spectral Laboratory of University of Jyväskylä. You can use and mo
Alphabetical Letter Recognition
BayeesNetworks-Image-Classification Alphabetical Letter Recognition In these demo we are using "Bayees Networks" Our database is composed by Learning
Alphabetical Letter Recognition
DecisionTrees-Image-Classification Alphabetical Letter Recognition In these demo we are using "Decision Trees" Our database is composed by Learning Im
This is an example of how to automate Ridit Analysis for a dataset with large amount of questions and many item attributes
This is an example of how to automate Ridit Analysis for a dataset with large amount of questions and many item attributes
Python module providing a framework to trace individual edges in an image using Gaussian process regression.
Edge Tracing using Gaussian Process Regression Repository storing python module which implements a framework to trace individual edges in an image usi
Image Segmentation using U-Net, U-Net with skip connections and M-Net architectures
Brain-Image-Segmentation Segmentation of brain tissues in MRI image has a number of applications in diagnosis, surgical planning, and treatment of bra
code for paper -- "Seamless Satellite-image Synthesis"
Seamless Satellite-image Synthesis by Jialin Zhu and Tom Kelly. Project site. The code of our models borrows heavily from the BicycleGAN repository an
Machine-in-the-Loop Rewriting for Creative Image Captioning
Machine-in-the-Loop Rewriting for Creative Image Captioning Data Annotated sources of data used in the paper: Data Source URL Mohammed et al. Link Gor
Multi-Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset
PADISI USC Dataset This repository analyzes the PADISI-Finger dataset introduced in Multi-Modal Fingerprint Presentation Attack Detection: Evaluation
My implementation of Image Inpainting - A deep learning Inpainting model
Image Inpainting What is Image Inpainting Image inpainting is a restorative process that allows for the fixing or removal of unwanted parts within ima
Unofficial PyTorch implementation of the Adaptive Convolution architecture for image style transfer
AdaConv Unofficial PyTorch implementation of the Adaptive Convolution architecture for image style transfer from "Adaptive Convolutions for Structure-
Panel Competition Image Generator
Panel Competition Image Generator This project was build by a member of the NFH community and is open for everyone who wants to try it. Relevant links
TensorFlow 2 implementation of the Yahoo Open-NSFW model
TensorFlow 2 implementation of the Yahoo Open-NSFW model
A terminal utility to sort image files based on their characteristics.
About A terminal utility to sort image files based on their characteristics. Motivation This program was developed after I've realized that I had too
Underwater image enhancement
LANet Our work proposes an adaptive learning attention network (LANet) to solve the problem of color casts and low illumination in underwater images.
A person does not exist image bot
A person does not exist image bot
A not exist person image generator python module
A not exist person image generator python module
Simple tools for the Horse Reality webgame
Realtools (Web Tools for Horse Reality) These tools were made on request from a close friend of mine who plays this game. A live instance can be found
Introduction to image processing, most used and popular functions of OpenCV
👀 OpenCV 101 Introduction to image processing, most used and popular functions of OpenCV go here.
A collection of differentiable SVD methods and also the official implementation of the ICCV21 paper "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
Differentiable SVD Introduction This repository contains: The official Pytorch implementation of ICCV21 paper Why Approximate Matrix Square Root Outpe
Dataset VSD4K includes 6 popular categories: game, sport, dance, vlog, interview and city.
CaFM-pytorch ICCV ACCEPT Introduction of dataset VSD4K Our dataset VSD4K includes 6 popular categories: game, sport, dance, vlog, interview and city.
A map update dataset and benchmark
MUNO21 MUNO21 is a dataset and benchmark for machine learning methods that automatically update and maintain digital street map datasets. Previous dat
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
English | 简体中文 PaddleGAN PaddleGAN provides developers with high-performance implementation of classic and SOTA Generative Adversarial Networks, and s
Datasets and source code for our paper Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach
Introduction Datasets and source code for our paper Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach Datasets: WebFG-496
[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
Social-NCE + CrowdNav Website | Paper | Video | Social NCE + Trajectron | Social NCE + STGCNN This is an official implementation for Social NCE: Contr
The official PyTorch code implementation of "Human Trajectory Prediction via Counterfactual Analysis" in ICCV 2021.
Human Trajectory Prediction via Counterfactual Analysis (CausalHTP) The official PyTorch code implementation of "Human Trajectory Prediction via Count
Code and models for "Rethinking Deep Image Prior for Denoising" (ICCV 2021)
DIP-denosing This is a code repo for Rethinking Deep Image Prior for Denoising (ICCV 2021). Addressing the relationship between Deep image prior and e
Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"
Dataset and Code for RealVSR Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme Xi Yang, Wangmeng Xiang,
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving Chenxu Luo, Xiaodong Yang, Alan Yuille Exploring Simple 3D Multi-Object Tracking for
Dataset and Code for the paper "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021), and "Depth-only Object Tracking" (BMVC2021)
DeT and DOT Code and datasets for "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021) "Depth-only Object Tracking" (BMVC2021) @InProceedings
Code for Recurrent Mask Refinement for Few-Shot Medical Image Segmentation (ICCV 2021).
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation Steps Install any missing packages using pip or conda Preprocess each dataset using
Code for the ICCV2021 paper "Personalized Image Semantic Segmentation"
PSS: Personalized Image Semantic Segmentation Paper PSS: Personalized Image Semantic Segmentation Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming
Parametric Contrastive Learning (ICCV2021)
Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or
Codes for the ICCV'21 paper "FREE: Feature Refinement for Generalized Zero-Shot Learning"
FREE This repository contains the reference code for the paper "FREE: Feature Refinement for Generalized Zero-Shot Learning". [arXiv][Paper] 1. Prepar
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction [arXiv] [Project Page] @inproceedings{ huang2021fapn, title={{FaPN}: Feature-alig
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition How Fast Compare to Other Zero-Shot NAS Proxies on CIFAR-10/100 Pre-trained Model
MicroNet: Improving Image Recognition with Extremely Low FLOPs (ICCV 2021)
MicroNet: Improving Image Recognition with Extremely Low FLOPs (ICCV 2021) A pytorch implementation of MicroNet. If you use this code in your research
Introduction to Databases Coursework 2 (SQL) - dataset generator
Introduction to Databases Coursework 2 (SQL) - dataset generator This is python script generates a text file with insert queries for the schema.sql fi
Sample data for the napari image viewer.
napari-demo-data Sample data for the napari image viewer. This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugi
Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
PyTorch implementation of the paper Dynamic Data Augmentation with Gating Networks
Dynamic Data Augmentation with Gating Networks This is an official PyTorch implementation of the paper Dynamic Data Augmentation with Gating Networks
Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)
Barbershop: GAN-based Image Compositing using Segmentation Masks Barbershop: GAN-based Image Compositing using Segmentation Masks Peihao Zhu, Rameen A
Official implementation of the paper 'High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network' in CVPR 2021
LPTN Paper | Supplementary Material | Poster High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network Ji
Image marine sea litter prediction Shiny
MARLITE Shiny app for floating marine litter detection in aerial images. This directory contains the instructions and software needed to install the S
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image Synthesis CVPR 2021 (Oral) Taming Transformers for High-Resolution Image Synthesis Patrick Esser*, Robin
Image Processing - Make noise images clean
影像處理-影像降躁化(去躁化) (Image Processing - Make Noise Images Clean) 得力於電腦效能的大幅提升以及GPU的平行運算架構,讓我們能夠更快速且有效地訓練AI,並將AI技術應用於不同領域。本篇將帶給大家的是 「將深度學習應用於影像處理中的影像降躁化 」,
Demo of using Auto Encoder for Image Denoising
Demo of using Auto Encoder for Image Denoising
A small Python Library to process Game Boy Camera images
GameBEye GameBEye is a Python Library to process Game Boy Camera images. Source code 📁 : https://github.com/mtouzot/GameBEye Issues 🆘 : https://gith
Python App To Encrypt Data (image, text, all data)
Python App To Encrypt Data (image, text, all data)
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis, including human motion imitation, appearance transfer, and novel view synthesis. Currently the paper is under review of IEEE TPAMI. It is an extension of our previous ICCV project impersonator, and it has a more powerful ability in generalization and produces higher-resolution results (512 x 512, 1024 x 1024) than the previous ICCV version.
General tricks that may help you find bad, or noisy, labels in your dataset
doubtlab A lab for bad labels. Warning still in progress. This repository contains general tricks that may help you find bad, or noisy, labels in your
An image base contains 490 images for learning (400 cars and 90 boats), and another 21 images for testingAn image base contains 490 images for learning (400 cars and 90 boats), and another 21 images for testing
SVM Données Une base d’images contient 490 images pour l’apprentissage (400 voitures et 90 bateaux), et encore 21 images pour fait des tests. Prétrait
psgresizer - a PySimpleGUI application that will resize your images and BASE64 encode them.
psgresizer A PySimpleGUI Application Resize your images quickly and easily with this GUI application. Resizes and encodes to Base64 so that the result
:P Some basic stuff I'm gonna use for my upcoming Agile Software Development and Devops
reverse-image-search-py bash script.sh img_name.jpg Requirements pip install requests pip install pyshorteners Dry run [kunal@Gordonfreeman]$ bash sc
A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.
meddlr Getting Started Meddlr is a config-driven ML framework built to simplify medical image reconstruction and analysis problems. Installation To av
MAUS: A Dataset for Mental Workload Assessment Using Wearable Sensor - Baseline system
MAUS: A Dataset for Mental Workload Assessment Using Wearable Sensor - Baseline system Getting started To start working on this assignment, you should
Automated image registration. Registrationimation was too much of a mouthful.
alignimation Automated image registration. Registrationimation was too much of a mouthful. This repo contains the code used for my blog post Alignimat
Simple Python image processing & automatization project for a simple web based game
What is this? Simple Python image processing & automatization project for a simple web based game Made using only Github Copilot (except the color and
An advanced 2D image manipulation with features such as edge detection and image segmentation built using OpenCV
OpenCV-ToothPaint3-Advanced-Digital-Image-Editor This application named ‘Tooth Paint’ version TP_2020.3 (64-bit) or version 3 was developed within a w
This is a python script to navigate and extract the FSD50K dataset
FSD50K navigator This is a script I use to navigate the sound dataset from FSK50K.
DICexport is a GUI (PyQt5) to export digital image correlation videos
DIC Video Exporter DICexport is a GUI (PyQt5) to export digital image correlation videos. It offers the flexibility to choose a selected range of a vi
clesperanto is a graphical user interface for GPU-accelerated image processing.
clesperanto is a graphical user interface for a multi-platform multi-language framework for GPU-accelerated image processing. It is based on napari and the pyclesperanto-prototype.
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region. This repository provides the codebase and dataset for our work WORD: Revisiting Or
3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A - Continual Learning Classification Challenge
Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay 3rd Place Solution for ICCV 2021 Workshop SS
A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.
TimeMatch Official source code of TimeMatch: Unsupervised Cross-region Adaptation by Temporal Shift Estimation by Joachim Nyborg, Charlotte Pelletier,
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
ADGCL : Adversarial Graph Augmentation to Improve Graph Contrastive Learning Introduction This repo contains the Pytorch [1] implementation of Adversa
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval - ICCV2021
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval Pytorch implementation of SPQ Accepted to ICCV 2021 - paper Young Kyun Jang
This application explain how we can easily integrate Deepface framework with Python Django application
deepface_suite This application explain how we can easily integrate Deepface framework with Python Django application install redis cache install requ
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
The Hypersim Dataset For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real i