1934 Repositories
Python large-image Libraries
Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.
Unfolded Deep Kernel Estimation for Blind Image Super-resolution Hongyi Zheng, Hongwei Yong, Lei Zhang, "Unfolded Deep Kernel Estimation for Blind Ima
This is an official implementation of the CVPR2022 paper "Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots".
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots Blind2Unblind Citing Blind2Unblind @inproceedings{wang2022blind2unblind, tit
Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"
On-the-Fly Adaptation Official Pytorch Code base for On-the-Fly Test-time Adaptation for Medical Image Segmentation Paper Introduction One major probl
Exploring the Dual-task Correlation for Pose Guided Person Image Generation
Dual-task Pose Transformer Network The source code for our paper "Exploring Dual-task Correlation for Pose Guided Person Image Generation“ (CVPR2022)
Image Lowpoly based on Centroid Voronoi Diagram via python-opencv and taichi
CVTLowpoly: Image Lowpoly via Centroid Voronoi Diagram Image Sharp Feature Extraction using Guide Filter's Local Linear Theory via opencv-python. The
IPscan - This Script is Framework To automate IP process large scope For Bug Hunting
IPscan This Script is Framework To automate IP process large scope For Bug Hunti
TwitterBot-ImageCollector - Twitter bot that collects images from likes saves the image
TwitterBot-ImageCollector Bot de Twitter que recolecta imagenes a partir de los
Digitalizing-Prescription-Image - PIRDS - Prescription Image Recognition and Digitalizing System is a OCR make with Tensorflow
Digitalizing-Prescription-Image PIRDS - Prescription Image Recognition and Digit
Official code release for: EditGAN: High-Precision Semantic Image Editing
Official code release for: EditGAN: High-Precision Semantic Image Editing
Image generation API.
Image Generator API This is an api im working on Currently its just a test project Im trying to make custom readme images with your discord account pr
Transfer style api - An API to use with Tranfer Style App, where you can use two image and transfer the style
Transfer Style API It's an API to use with Tranfer Style App, where you can use
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers Authors: Jaemin Cho, Abhay Zala, and Mohit Bansal (
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Official repository of OFA. Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Code for our WACV 2022 paper "Hyper-Convolution Networks for Biomedical Image Segmentation"
Hyper-Convolution Networks for Biomedical Image Segmentation Code for our WACV 2022 paper "Hyper-Convolution Networks for Biomedical Image Segmentatio
Using Opencv ,based on Augmental Reality(AR) and will show the feature matching of image and then by finding its matching
Using Opencv ,this project is based on Augmental Reality(AR) and will show the feature matching of image and then by finding its matching ,it will just mask that image . This project ,if used in cctv then it will detect black listed people if mentioned properly with their images.
Image2scan - a python program that can be applied on an image in order to get a scan of it back
image2scan Purpose image2scan is a python program that can be applied on an image in order to get a scan of it back. For this purpose, it searches for
Different steganography methods with examples and my own small image database
literally-the-most-useless-project [Different steganography methods with examples and my own small image database] This project currently contains thr
Image-to-image regression with uncertainty quantification in PyTorch
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
Large-Scale Unsupervised Object Discovery
Large-Scale Unsupervised Object Discovery Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce [PDF] We propose a novel ranking-based
Reading list for research topics in Masked Image Modeling
awesome-MIM Reading list for research topics in Masked Image Modeling(MIM). We list the most popular methods for MIM, if I missed something, please su
A framework for GPU based high-performance medical image processing and visualization
FAST is an open-source cross-platform framework with the main goal of making it easier to do high-performance processing and visualization of medical images on heterogeneous systems utilizing both multi-core CPUs and GPUs. To achieve this, FAST use modern C++, OpenCL and OpenGL.
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers Authors: Jaemin Cho, Abhay Zala, and Mohit Bansal (
An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify.
An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify. The ETL process flows from AWS's S3 into staging tables in AWS Redshift.
A python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.
A python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.
Official repository for GCR rerank, a GCN-based reranking method for both image and video re-ID
Official repository for GCR rerank, a GCN-based reranking method for both image and video re-ID
End-to-end image captioning with EfficientNet-b3 + LSTM with Attention
Image captioning End-to-end image captioning with EfficientNet-b3 + LSTM with Attention Model is seq2seq model. In the encoder pretrained EfficientNet
This project uses ViT to perform image classification tasks on DATA set CIFAR10.
Vision-Transformer-Multiprocess-DistributedDataParallel-Apex Introduction This project uses ViT to perform image classification tasks on DATA set CIFA
NeuroGen: activation optimized image synthesis for discovery neuroscience
NeuroGen: activation optimized image synthesis for discovery neuroscience NeuroGen is a framework for synthesizing images that control brain activatio
Large-scale Knowledge Graph Construction with Prompting
Large-scale Knowledge Graph Construction with Prompting across tasks (predictive and generative), and modalities (language, image, vision + language, etc.)
Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation
Multi-atlas segmentation (MAS) is a promising framework for medical image segmentation. Generally, MAS methods register multiple atlases, i.e., medical images with corresponding labels, to a target image;
SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis
SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis Pretrained Models In this work, we created synthetic tissue
Generate waves art for an image
waves-art Generate waves art for an image. Requirements: OpenCV Numpy Example Usage python waves_art.py --image_path tests/test1.jpg --patch_size 15 T
Pytorch implementation of MaskGIT: Masked Generative Image Transformer
Pytorch implementation of MaskGIT: Masked Generative Image Transformer
Simple Python package to convert an image into a quantized image using a customizable palette
Simple Python package to convert an image into a quantized image using a customizable palette. Resulting image can be displayed by ePaper displays such as Waveshare displays.
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation By Qing Xu, Wenting Duan and Na He Requirements pytorch==1.1
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models Benchmark and Efficient Evaluation
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models Benchmark and Efficient Evaluation This reposi
FewBit — a library for memory efficient training of large neural networks
FewBit FewBit — a library for memory efficient training of large neural networks. Its efficiency originates from storage optimizations applied to back
Image Data Augmentation in Keras
Image data augmentation is a technique that can be used to artificially expand the size of a training dataset by creating modified versions of images in the dataset.
Official code for paper "ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection"
Official code for paper "ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection". LRPDenseNet.py
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition Paper: MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition accepted fo
Kartothek - a Python library to manage large amounts of tabular data in a blob store
Kartothek - a Python library to manage (create, read, update, delete) large amounts of tabular data in a blob store
A transformer which can randomly augment VOC format dataset (both image and bbox) online.
VocAug It is difficult to find a script which can augment VOC-format dataset, especially the bbox. Or find a script needs complex requirements so it i
To create a deep learning model which can explain the content of an image in the form of speech through caption generation with attention mechanism on Flickr8K dataset.
To create a deep learning model which can explain the content of an image in the form of speech through caption generation with attention mechanism on Flickr8K dataset.
CT Based COVID 19 Diagnose by Image Processing and Deep Learning
This project proposed the deep learning and image processing method to undertake the diagnosis on 2D CT image and 3D CT volume.
Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information.
Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information.
CRF-RNN for Semantic Image Segmentation - PyTorch version
This repository contains the official PyTorch implementation of the "CRF-RNN" semantic image segmentation method, published in the ICCV 2015
CCP dataset from Clothing Co-Parsing by Joint Image Segmentation and Labeling
Clothing Co-Parsing (CCP) Dataset Clothing Co-Parsing (CCP) dataset is a new clothing database including elaborately annotated clothing items. 2, 098
A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.
StyleGAN3 CLIP-based guidance StyleGAN3 + CLIP StyleGAN3 + inversion + CLIP This repo is a collection of Jupyter notebooks made to easily play with St
Weather Image Recognition - Python weather application using series of data
Weather Image Recognition - Python weather application using series of data
Image Segmentation and Object Detection in Pytorch
Image Segmentation and Object Detection in Pytorch Pytorch-Segmentation-Detection is a library for image segmentation and object detection with report
Javascript image annotation tool based on image segmentation.
JS Segment Annotator Javascript image annotation tool based on image segmentation. Label image regions with mouse. Written in vanilla Javascript, with
RuCLIP tiny (Russian Contrastive Language–Image Pretraining) is a neural network trained to work with different pairs (images, texts).
RuCLIPtiny Zero-shot image classification model for Russian language RuCLIP tiny (Russian Contrastive Language–Image Pretraining) is a neural network
YOLTv5 rapidly detects objects in arbitrarily large aerial or satellite images that far exceed the ~600×600 pixel size typically ingested by deep learning object detection frameworks
YOLTv5 rapidly detects objects in arbitrarily large aerial or satellite images that far exceed the ~600×600 pixel size typically ingested by deep learning object detection frameworks.
Image Smoothing and Blurring Using OpenCV
Image-Smoothing-and-Blurring-Using-OpenCV This repository contains codes for performing image smoothing and blurring using OpenCV. There are different
Thresholding-and-masking-using-OpenCV - Image Thresholding is used for image segmentation
Image Thresholding is used for image segmentation. From a grayscale image, thresholding can be used to create binary images. In thresholding we pick a threshold T.
Opencontactbook - Bulk-manage large numbers of vCard contacts with built-in geolocation
Open Contact Book Open Contact Book is a buiness-oriented, cross-platform, Pytho
Simple Python script that lets you upload image/video to imgur
Pymgur 🐍 Simple Python script that lets you upload image/video to imgur! Usage 🔨 Git Clone this repository install the requirements (pip install -r
This project proposes a camera vision based cursor control system, using hand moment captured from a webcam through a landmarks of hand by using Mideapipe module
This project proposes a camera vision based cursor control system, using hand moment captured from a webcam through a landmarks of hand by using Mideapipe module
Real-CUGAN - Real Cascade U-Nets for Anime Image Super Resolution
Real Cascade U-Nets for Anime Image Super Resolution 中文 | English 🔥 Real-CUGAN
Discord-Image-Logger - Discord Image Logger With Python
Discord-Image-Logger A exploit I found in discord. Working as of now. Explanatio
Hashpic - Hashpic creates an image from a MD5 or SHA512 hash
Hashpic Hashpic creates an image from the MD5 hash of your input. Since v0.2.0 i
The 7th edition of NTIRE: New Trends in Image Restoration and Enhancement workshop will be held on June 2022 in conjunction with CVPR 2022.
NTIRE 2022 - Image Inpainting Challenge Important dates 2022.02.01: Release of train data (input and output images) and validation data (only input) 2
Create a random fluent image based on multiple colors.
FluentGenerator Create a random fluent image based on multiple colors. Navigation Example Install Update Usage In Python console FluentGenerator Fluen
GTK and Python based, simple multiple image editor tool
System Monitoring Center GTK3 and Python3 based, simple multiple image editor tool. Note: Development of this application is not completed yet. The ap
An python script to convert images to upscaled versions made out of one-colour emojis.
ABOUT This is an python script to convert png, jpg and gif(output isnt animated :( ) images to scaled versions made out of one-colour emojis. Please n
Download Web-10K data by querying Bing Image Search
gpv2-web10k This repository contains the script to download images from the Web-10K dataset. The script takes in a list of queries, queries Bing Image
Learning Super-Features for Image Retrieval
Learning Super-Features for Image Retrieval This repository contains the code for running our FIRe model presented in our ICLR'22 paper: @inproceeding
traiNNer is an open source image and video restoration (super-resolution, denoising, deblurring and others) and image to image translation toolbox based on PyTorch.
traiNNer traiNNer is an open source image and video restoration (super-resolution, denoising, deblurring and others) and image to image translation to
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Generate meme GIFs in which an image you choose can be viewed by the user only after they wait a whole hour.
Generate meme GIFs in which an image you choose can be viewed by the user only after they wait a whole hour.
This repository contains the re-implementation of our paper deSpeckNet: Generalizing Deep Learning Based SAR Image Despeckling
deSpeckNet-TF-GEE This repository contains the re-implementation of our paper deSpeckNet: Generalizing Deep Learning Based SAR Image Despeckling publi
A modification of Daniel Russell's notebook merged with Katherine Crowson's hq-skip-net changes
Edits made to this repo by Katherine Crowson I have added several features to this repository for use in creating higher quality generative art (featu
This repository attempts to replicate the SqueezeNet architecture and implement the same on an image classification task.
SqueezeNet-Implementation This repository attempts to replicate the SqueezeNet architecture using TensorFlow discussed in the research paper: "Squeeze
Image processing is one of the most common term in computer vision
Image processing is one of the most common term in computer vision. Computer vision is the process by which computers can understand images and videos, and how they are stored, manipulated, and retrieve details from them. OpenCV is an open source computer vision image processing library for machine learning, deep leaning and AI application which plays a major role in real-time operation which is very important in today’s systems.
Split large XML files into smaller ones for easy upload
Split large XML files into smaller ones for easy upload. Works for WordPress Posts Import and other XML files.
Python tool that takes the OCR.space JSON output as input and draws a text overlay on top of the image.
OCR.space OCR Result Checker = Draw OCR overlay on top of image Python tool that takes the OCR.space JSON output as input, and draws an overlay on to
DocEnTr: An end-to-end document image enhancement transformer
DocEnTR Description Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer. This model is implemented on to
An introduction to satellite image analysis using Python + OpenCV and JavaScript + Google Earth Engine
A Gentle Introduction to Satellite Image Processing Welcome to this introductory course on Satellite Image Analysis! Satellite imagery has become a pr
RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures. Unlike other versions of the model we use BERT for text encoder and SWIN transformer for image encoder.
ruCLIP-SB RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and re
Computer Vision Paper Reviews with Key Summary of paper, End to End Code Practice and Jupyter Notebook converted papers
Computer-Vision-Paper-Reviews Computer Vision Paper Reviews with Key Summary along Papers & Codes. Jonathan Choi 2021 The repository provides 100+ Pap
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
Evolution Gym A large-scale benchmark for co-optimizing the design and control of soft robots. As seen in Evolution Gym: A Large-Scale Benchmark for E
Search stock images (e.g. via Unsplash) and save them to your Wagtail image library.
Wagtail Stock Images Search stock images (e.g. via Unsplash) and save them to your Wagtail image library. Requirements Python 3 Django = 2 Wagtail =
Retrieval.pytorch - The code we used in [2020 DIGIX]
Retrieval.pytorch - The code we used in [2020 DIGIX]
2 telegram-bots: for image recognition and for text generation
💻 📱 Telegram_Bots 🔎 & 📖 2 telegram-bots: for image recognition and for text generation. About Image recognition bot: User sends a photo and bot de
This repository contains code to run experiments in the paper "Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers."
Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers This repository contains code to run experiments in the paper "Signal Stre
Very large and sparse networks appear often in the wild and present unique algorithmic opportunities and challenges for the practitioner
Sparse network learning with snlpy Very large and sparse networks appear often in the wild and present unique algorithmic opportunities and challenges
WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution
WPPNets: Unsupervised CNN Training with Wasserstein Patch Priors for Image Superresolution This code belongs to the paper [1] available at https://arx
A deep learning framework for historical document image analysis
DIVA-DAF Description A deep learning framework for historical document image analysis. How to run Install dependencies # clone project git clone https
SegTransVAE: Hybrid CNN - Transformer with Regularization for medical image segmentation
SegTransVAE: Hybrid CNN - Transformer with Regularization for medical image segmentation This repo is the official implementation for SegTransVAE. Seg
PyTorch implementation for the paper Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime
Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime Created by Prarthana Bhattacharyya. Disclaimer: This is n
Adaptive Dropblock Enhanced GenerativeAdversarial Networks for Hyperspectral Image Classification
This repo holds the codes of our paper: Adaptive Dropblock Enhanced GenerativeAdversarial Networks for Hyperspectral Image Classification, which is ac
Transformer based SAR image despeckling
Transformer based SAR image despeckling Using the code: The code is stable while using Python 3.6.13, CUDA =10.1 Clone this repository: git clone htt
The open-source and free to use Python package miseval was developed to establish a standardized medical image segmentation evaluation procedure
miseval: a metric library for Medical Image Segmentation EVALuation The open-source and free to use Python package miseval was developed to establish
Python code for the paper How to scale hyperparameters for quickshift image segmentation
How to scale hyperparameters for quickshift image segmentation Python code for the paper How to scale hyperparameters for quickshift image segmentatio
Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer.
DocEnTR Description Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer. This model is implemented on to
Pytorch Implementation of Auto-Compressing Subset Pruning for Semantic Image Segmentation
Pytorch Implementation of Auto-Compressing Subset Pruning for Semantic Image Segmentation Introduction ACoSP is an online pruning algorithm that compr
PyTorch implementation of our paper How robust are discriminatively trained zero-shot learning models?
How robust are discriminatively trained zero-shot learning models? This repository contains the PyTorch implementation of our paper How robust are dis
Image super-resolution (SR) is a fast-moving field with novel architectures attracting the spotlight
Revisiting RCAN: Improved Training for Image Super-Resolution Introduction Image super-resolution (SR) is a fast-moving field with novel architectures
Novel and high-performance medical image classification pipelines are heavily utilizing ensemble learning strategies
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks Novel and high-performance medical ima