552 Repositories
Python jpg-images Libraries
Pytorch implementation of NEGEV method. Paper: "Negative Evidence Matters in Interpretable Histology Image Classification".
Pytorch 1.10.0 code for: Negative Evidence Matters in Interpretable Histology Image Classification (https://arxiv. org/abs/xxxx.xxxxx) Citation: @arti
Source code for the plant extraction workflow introduced in the paper “Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision”
Plant extraction workflow Source code for the plant extraction workflow introduced in the paper "Agricultural Plant Cataloging and Establishment of a
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
🎁 3,000,000+ Unsplash images made available for research and machine learning
The Unsplash Dataset The Unsplash Dataset is made up of over 250,000+ contributing global photographers and data sourced from hundreds of millions of
Scramb.py is a region based JPEG Image Scrambler and Descrambler written in Python
Scramb.py Scramb.py is a region based JPEG Image Scrambler and Descrambler written in Python. Main features Scramb.py can scramble images regions. So
Algorithms for outlier, adversarial and drift detection
Alibi Detect is an open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline d
Graphical Password Authentication System.
Graphical Password Authentication System. This is used to increase the protection/security of a website. Our system is divided into further 4 layers of protection. Each layer is totally different and diverse than the others. This not only increases protection, but also makes sure that no non-human can log in to your account using different activities such as Brute Force Algorithm and so on.
python 93% acc. CNN Dogs Vs Cats ( Pytorch )
English | 简体中文(测试中...敬请期待) Cnn-Classification-Dog-Vs-Cat 猫狗辨别 (pytorch版本) CNN Resnet18 的猫狗分类器,基于ResNet及其变体网路系列,对于一般的图像识别任务表现优异,模型精准度高达93%(小型样本)。 项目制作于
Pixel-level Crack Detection From Images Of Levee Systems : A Comparative Study
PIXEL-LEVEL CRACK DETECTION FROM IMAGES OF LEVEE SYSTEMS : A COMPARATIVE STUDY G
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
bottom-up-attention This code implements a bottom-up attention model, based on multi-gpu training of Faster R-CNN with ResNet-101, using object and at
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
#NeuralTalk Warning: Deprecated. Hi there, this code is now quite old and inefficient, and now deprecated. I am leaving it on Github for educational p
👷 Build images with images
👷 Build images with images. About Tiler is a tool to create an image using all kinds of other smaller images (tiles). It is different from other mosa
Bunch of different tools which helps visualizing and annotating images for semantic/instance segmentation tasks
Data Framework for Semantic/Instance Segmentation Bunch of different tools which helps visualizing, transforming and annotating images for semantic/in
Downloads yiffer.xyz comics as images
yiffer-dl Downloads comics as images from yiffer.xyz.
Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite
mqtt-camera-streamer Summary: Publish frames from a connected camera or MJPEG/RTSP stream to an MQTT topic, and view the feed in a browser on another
Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.
Streamlit - Drawable Canvas Streamlit component which provides a sketching canvas using Fabric.js. Features Draw freely, lines, circles, boxes and pol
Histology images query (unsupervised)
110-1-NTU-DBME5028-Histology-images-query Final Project: Histology images query (unsupervised) Kaggle: https://www.kaggle.com/c/histology-images-query
Tool made for the FWA Yearbook Team to resize multiple images quickly.
ImageResize Tool Tool made for the FWA Yearbook Team to resize multiple images quickly. Make sure to check this repo for future updates How to Use The
Code, pre-trained models and saliency results for the paper "Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images".
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB This repository is the official implementation of the paper. Our results comming soon in
FaceAnon - Anonymize people in images and videos using yolov5-crowdhuman
Face Anonymizer Blur faces from image and video files in /input/ folder. Require
NFT-Image-Generator - Utility to generate a large collection of unique images
NFT-Image-Generator Utility for creating a generative art collection from suppli
Deploy/View images to database sqlite with fastapi
Deploy/View images to database sqlite with fastapi cd realistic Dependencies dat
PyTorch Implementation of ECCV 2020 Spotlight TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images
TuiGAN-PyTorch Official PyTorch Implementation of "TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images" (ECCV 2020 Spotligh
A unified framework to jointly model images, text, and human attention traces.
connect-caption-and-trace This repository contains the reference code for our paper Connecting What to Say With Where to Look by Modeling Human Attent
PyTorch code for: Learning to Generate Grounded Visual Captions without Localization Supervision
Learning to Generate Grounded Visual Captions without Localization Supervision This is the PyTorch implementation of our paper: Learning to Generate G
Meshed-Memory Transformer for Image Captioning. CVPR 2020
M²: Meshed-Memory Transformer This repository contains the reference code for the paper Meshed-Memory Transformer for Image Captioning (CVPR 2020). Pl
GoodNews Everyone! Context driven entity aware captioning for news images
This is the code for a CVPR 2019 paper, called GoodNews Everyone! Context driven entity aware captioning for news images. Enjoy! Model preview: Huge T
RetinaNet-PyTorch - A RetinaNet Pytorch Implementation on remote sensing images and has the similar mAP result with RetinaNet in MMdetection
🚀 RetinaNet Horizontal Detector Based PyTorch This is a horizontal detector Ret
Picot - A discord bot made to fetch images from Pexels and unsplash API and provide raw images directly in channels
Picot A discord bot made to fetch images from Pexels and unsplash API and provid
Deep-Learning-Image-Captioning - Implementing convolutional and recurrent neural networks in Keras to generate sentence descriptions of images
Deep Learning - Image Captioning with Convolutional and Recurrent Neural Nets ========================================================================
Doods2 - API for detecting objects in images and video streams using Tensorflow
DOODS2 - Return of DOODS Dedicated Open Object Detection Service - Yes, it's a b
Ascify-Art - An easy to use, GUI based and user-friendly colored ASCII art generator from images!
Ascify-Art This is a python based colored ASCII art generator for free! How to Install? You can download and use the python version if you want, modul
Poolbooru gelscraper - a simple python script for scraping images off gelbooru pools.
poolbooru_gelscraper a simple python script for scraping images off gelbooru pools. modules required:requests_html, and os by default saves files with
Imutils - A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
imutils A series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, and displ
Imagededup - 😎 Finding duplicate images made easy
imagededup is a python package that simplifies the task of finding exact and near duplicates in an image collection.
Me cleaner - Tool for partial deblobbing of Intel ME/TXE firmware images
me_cleaner me_cleaner is a Python script able to modify an Intel ME firmware image with the final purpose of reducing its ability to interact with the
BRNet - code for Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function
BRNet code for "Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss func
🐾 Semantic segmentation of paws from cute pet images (PyTorch)
🐾 paw-segmentation 🐾 Semantic segmentation of paws from cute pet images 🐾 Semantic segmentation of paws from cute pet images (PyTorch) 🐾 Paw Segme
Code for "Retrieving Black-box Optimal Images from External Databases" (WSDM 2022)
Retrieving Black-box Optimal Images from External Databases (WSDM 2022) We propose how a user retreives an optimal image from external databases of we
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model Baris Gecer 1, Binod Bhattarai 1
Get-web-images - A python code that get images from any site
image retrieval This is a python code to retrieve an image from the internet, a
An example which streams RGB-D images over spout.
Spout RGB-D Example An example which streams RGB-D images over spout with visiongraph. Due to the spout dependency this currently only works on Window
This is a student data management application developed in Python and TKinter. It utilizes the TKinter pillow library to include images to buttons. I've separated TKinter elements into their own individual classes. The user can change the smilely face color for each button individually or by entire row.
Smiley Face Cube Display Table of Contents Project Description Getting Started Prerequisites Installation & Deployment Additional Documentation Projec
Animoo - Python scraper made with BeautifulSoup4 that scrapes images from /c/.
Animoo - Python scraper made with BeautifulSoup4 that scrapes images from /c/. Features Scrapes 10 pages Scrapes each thread Downloads all the images
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Learning to Classify Images without Labels This repo contains the Pytorch implementation of our paper: SCAN: Learning to Classify Images without Label
Generates images with semantic content from distribution A in the style of distribution B
A2B Generates images with semantic content from distribution A in the style of d
code of paper „Unknown Object Segmentation from Stereo Images“, IROS 2021
Unknown Object Segmentation from Stereo Images Unknown Object Segmentation from Stereo Images Maximilian Durner*, Wout Boerdijk*, Martin Sundermeyer,
Learning hierarchical attention for weakly-supervised chest X-ray abnormality localization and diagnosis
Hierarchical Attention Mining (HAM) for weakly-supervised abnormality localization This is the official PyTorch implementation for the HAM method. Pap
An easy to use GUI based video to image sequence converter (and vice versa).
Vdo & Img Conversion Tools This is a quick conversion tool made with python that can save you a lot of time. With this tool you can extract image sequ
Test for generating stylized circuit traces from images
I test of an image processing idea to take an image and make neat circuit board art automatically. Inspired by this twitter post by @JackRhysider
An add to make adding screenshots and copied images to the scene easy
Blender Clipboard to Scene It doesn't work with version 2.93 and higher (I tested it on 2.91 and 2.83) There is an issue with importing the Pillow mod
Web Scraping images using Selenium and Python
Web Scraping images using Selenium and Python A propos de ce document This is a markdown document about Web scraping images and videos using Selenium
OCR powered screen-capture tool to capture information instead of images
NormCap OCR powered screen-capture tool to capture information instead of images. Links: Repo | PyPi | Releases | Changelog | FAQs Content: Quickstart
Find thumbnails and original images from URL or HTML file.
Haul Find thumbnails and original images from URL or HTML file. Demo Hauler on Heroku Installation on Ubuntu $ sudo apt-get install build-essential py
Python package to add text to images, textures and different backgrounds
nider Python package for text images generation and watermarking Free software: MIT license Documentation: https://nider.readthedocs.io. nider is an a
Pysauce is a Discord bot which utilizes the SauceNAO API to locate the source of images.
Pysauce Pysauce is a Discord bot which utilizes the SauceNAO API to locate the source of images. Use Pysauce has one public instance always running, i
An executor that performs standard pre-processing and normalization on images.
An executor that performs standard pre-processing and normalization on images.
A CLI tool for using GLIDE to generate images from text.
Text-Glided-Diffusion Installation First clone this repository: git clone https://github.com/afiaka87/text-glided-diffusion.git cd text-glided-diffusi
A PyTorch implementation of "TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?"
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? Source: Improving Vision Transformer Efficiency and Accuracy by Learning to Tokenize
Rest API Written In Python To Classify NSFW Images.
Rest API Written In Python To Classify NSFW Images.
A unified tokenization tool for Images, Chinese and English.
ICE Tokenizer Token id [0, 20000) are image tokens. Token id [20000, 20100) are common tokens, mainly punctuations. E.g., icetk[20000] == 'unk', ice
Super Resolution for images using deep learning.
Neural Enhance Example #1 — Old Station: view comparison in 24-bit HD, original photo CC-BY-SA @siv-athens. As seen on TV! What if you could increase
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
CurriculumNet Introduction This repo contains related code and models from the ECCV 2018 CurriculumNet paper. CurriculumNet is a new training strategy
A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention-based U-net Discriminators The authors are hidden for the purpose of double blind
Tensorflow 2.x implementation of Panoramic BlitzNet for object detection and semantic segmentation on indoor panoramic images.
Deep neural network for object detection and semantic segmentation on indoor panoramic images. The implementation is based on the papers:
Dumps the payload.bin image found in Android update images.
payload dumper Dumps the payload.bin image found in Android update images. Has significant performance gains over other tools due to using multiproces
Create time-series datacubes for supervised machine learning with ICEYE SAR images.
ICEcube is a Python library intended to help organize SAR images and annotations for supervised machine learning applications. The library generates m
Record radiologists' eye gaze when they are labeling images.
Record radiologists' eye gaze when they are labeling images. Read for installation, usage, and deep learning examples. Why use MicEye Versatile As a l
Python script to preprocess images of all Pokémon to finetune ruDALL-E
ai-generated-pokemon-rudalle Python script to preprocess images of all Pokémon (the "official artwork" of each Pokémon via PokéAPI) into a format such
A Telegram bot to extracting text from images. All languages supported.
OCR Bot A Telegram bot to extracting text from images. All languages supported. Deploy to Heroku Local Deploying Clone the repo git clone https://gith
TensorFlow implementation of "TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?"
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? Source: Improving Vision Transformer Efficiency and Accuracy by Learning to Tokenize
Le dataset des images du projet d'IA de 2021
face-mask-dataset-ilc-2021 Le dataset des images du projet d'IA de 2021, Indiquez vos id git dans la issue pour les droits TL;DR: Choisir 200 images J
A study project using the AA-RMVSNet to reconstruct buildings from multiple images
3d-building-reconstruction This is part of a study project using the AA-RMVSNet to reconstruct buildings from multiple images. Introduction It is exci
Django models and endpoints for working with large images -- tile serving
Django Large Image Models and endpoints for working with large images in Django -- specifically geared towards geospatial tile serving. DISCLAIMER: th
Turning images into '9-pan' palettes using KMeans clustering from sklearn.
img2palette Turning images into '9-pan' palettes using KMeans clustering from sklearn. Requirements We require: Pillow, for opening and processing ima
Implement object segmentation on images using HOG algorithm proposed in CVPR 2005
HOG Algorithm Implementation Description HOG (Histograms of Oriented Gradients) Algorithm is an algorithm aiming to realize object segmentation (edge
Container images for portable development environments
Docker Dev Spin up a container to develop from anywhere! To run, just: docker run -ti aghost7/nodejs-dev:boron tmux new Alternatively, if on Linux: p
🚢 Docker images and utilities to power your Python APIs and help you ship faster. With support for Uvicorn, Gunicorn, Starlette, and FastAPI.
🚢 inboard 🐳 Docker images and utilities to power your Python APIs and help you ship faster. Description This repository provides Docker images and a
Training deep models using anime, illustration images.
animeface deep models for anime images. Datasets anime-face-dataset Anime faces collected from Getchu.com. Based on Mckinsey666's dataset. 63.6K image
Algorithm to texture 3D reconstructions from multi-view stereo images
MVS-Texturing Welcome to our project that textures 3D reconstructions from images. This project focuses on 3D reconstructions generated using structur
A terminal application for managing images and artifacts in Azure Container Registry.
acr-browser acr-browser is a terminal-based user interface for managing container images and artifacts in Azure Container Registry. 🚀 This project ow
Automatically remove the mosaics in images and videos, or add mosaics to them.
Automatically remove the mosaics in images and videos, or add mosaics to them.
This repository includes code of my study about Asynchronous in Frequency domain of GAN images.
Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images Binh M. Le & Simon S. Woo, "Exploring the Asynchronous of the Frequ
Water marker for images.
watermarker linux users: To fix this error,please add truetype font path File "watermark.py", line 58, in module font = ImageFont.truetype("Dro
Download YouTube videos/music and images in MP4, JPG with this tool.
ABOUT THE TOOL Download YouTube videos, music and images in MP4, JPG with this tool, with an easy to understand interface. This tool works with both,
A tensorflow/keras implementation of StyleGAN to generate images of new Pokemon.
PokeGAN A tensorflow/keras implementation of StyleGAN to generate images of new Pokemon. Dataset The model has been trained on dataset that includes 8
A python package that extends Google Earth Engine.
A python package that extends Google Earth Engine GitHub: https://github.com/davemlz/eemont Documentation: https://eemont.readthedocs.io/ PyPI: https:
A web application using [FastAPI + streamlit + Docker] Neural Style Transfer (NST) refers to a class of software algorithms that manipulate digital images
Neural Style Transfer Web App - [FastAPI + streamlit + Docker] NST - application based on the Perceptual Losses for Real-Time Style Transfer and Super
Joint learning of images and text via maximization of mutual information
mutual_info_img_txt Joint learning of images and text via maximization of mutual information. This repository incorporates the algorithms presented in
Python modules to work with large multiresolution images.
Large Image Python modules to work with large, multiresolution images. Large Image is developed and maintained by the Data & Analytics group at Kitwar
Change your discord avatar every x h/d based on a list of images
Discord-Avatar-Autochange Introduction A simple script that automatically keeps changing your discord avatar after a given amount of time based on the
Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images
Learning Lightweight Low-Light Enhancement Network using Pseudo Well-Exposed Images This repository contains the implementation of the following paper
A Home Assistant custom component for Lobe. Lobe is an AI tool that can classify images.
Lobe This is a Home Assistant custom component for Lobe. Lobe is an AI tool that can classify images. This component lets you easily use an exported m
Benchmarks for Object Detection in Aerial Images
Benchmarks for Object Detection in Aerial Images
Centroid-UNet is deep neural network model to detect centroids from satellite images.
Centroid UNet - Locating Object Centroids in Aerial/Serial Images Introduction Centroid-UNet is deep neural network model to detect centroids from Aer
gACSON software for visualization, processing and analysis of three-dimensional electron microscopy images
gACSON gACSON software is to visualize, segment, and analyze the morphology of neurons in three-dimensional electron microscopy images. If you use any
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images In this paper, we present an effective Dynamic Enhancement Anchor
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Men
CleanX is an open source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological images.
cleanX CleanX is an open source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological
A Vision Transformer approach that uses concatenated query and reference images to learn the relationship between query and reference images directly.
A Vision Transformer approach that uses concatenated query and reference images to learn the relationship between query and reference images directly.