2119 Repositories
Python image-visualization Libraries
CLIP2Video: Mastering Video-Text Retrieval via Image CLIP
CLIP2Video: Mastering Video-Text Retrieval via Image CLIP The implementation of paper CLIP2Video: Mastering Video-Text Retrieval via Image CLIP. CLIP2
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js
Pyconvert is a python script that you can use to convert image files to another image format! (eg. PNG to ICO)
Pyconvert is a python script that you can use to convert image files to another image format! (eg. PNG to ICO)
2021:"Bridging Global Context Interactions for High-Fidelity Image Completion"
TFill arXiv | Project This repository implements the training, testing and editing tools for "Bridging Global Context Interactions for High-Fidelity I
Collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets
The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and related datasets. Additionally, it also collects many useful tutorials and tools in these related domains.
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Monitor deep learning model training and hardware usage from mobile. 🔥 Features Monitor running experiments from mobile phone (or laptop) Monitor har
Official repository of "DeepMIH: Deep Invertible Network for Multiple Image Hiding", TPAMI 2022.
DeepMIH: Deep Invertible Network for Multiple Image Hiding (TPAMI 2022) This repo is the official code for DeepMIH: Deep Invertible Network for Multip
A visualization of how much Manchester United fans enjoyed each game from the first half of the 21/22 Premier League season.
Man-Utd-Fan-Satisfaction-Levels-First-19-games A visualization of how much Manchester United fans enjoyed each game from the first half of the 21/22 P
This is a Image aid classification software based on python TK library development
This is a Image aid classification software based on python TK library development.
Visualization Website by using Dash and Heroku
Visualization Website by using Dash and Heroku You can visit the website https://payroll-expense-analysis.herokuapp.com/ In this project, I am interes
100 Days of Code The Complete Python Pro Bootcamp for 2022
100-Day-With-Python 100 Days of Code - The Complete Python Pro Bootcamp for 2022. In this course, I spend with python language over 100 days, and I up
Unconventional ways to save an Image
Unexpected Image Saves Unconventional ways to save an image 😄 Have you ever been bored by the same old .png, .jpg, .jpeg, .gif and all other image ex
Python data processing, analysis, visualization, and data operations
Python This is a Python data processing, analysis, visualization and data operations of the source code warehouse, book ISBN: 9787115527592 Descriptio
A basic neural network for image segmentation.
Unet_erythema_detection A basic neural network for image segmentation. 前期准备 1.在logs文件夹中下载h5权重文件,百度网盘链接在logs文件夹中 2.将所有原图 放置在“/dataset_1/JPEGImages/”文件夹
Mercury: easily convert Python notebook to web app and share with others
Mercury Share your Python notebooks with others Easily convert your Python notebooks into interactive web apps by adding parameters in YAML. Simply ad
A simple code to convert image format and channel as well as resizing and renaming multiple images.
Rename-Resize-and-convert-multiple-images A simple code to convert image format and channel as well as resizing and renaming multiple images. This cod
Assginment for UofT CSC420: Intro to Image Understanding
Run the code Open edge_detection.ipynb in google colab. Upload image1.jpg,image2.jpg and my_image.jpg to '/content/drive/My Drive'. chooose 'Run all'
This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm and CNN.
Vietnamese sign lagnuage recognition using MHI and CNN This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm
(3DV 2021 Oral) Filtering by Cluster Consistency for Large-Scale Multi-Image Matching
Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching (3DV 2021 Oral Presentation) Filtering by Cluster Consistency (FCC) is a very
Source codes for Improved Few-Shot Visual Classification (CVPR 2020), Enhancing Few-Shot Image Classification with Unlabelled Examples
Source codes for Improved Few-Shot Visual Classification (CVPR 2020), Enhancing Few-Shot Image Classification with Unlabelled Examples (WACV 2022) and Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning (TPAMI 2022 - in submission)
Sorting-Algorithms - All information about sorting algorithm you need and you can visualize the code tracer
Sorting-Algorithms - All information about sorting algorithm you need and you can visualize the code tracer
An awesome Data Science repository to learn and apply for real world problems.
AWESOME DATA SCIENCE An open source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start s
This project consists of data analysis and data visualization (done using python)of all IPL seasons from 2008 to 2019 and answering the most asked questions about the IPL.
IPL-data-analysis This project consists of data analysis and data visualization of all IPL seasons from 2008 to 2019 and answering the most asked ques
Repo for the paper Extrapolating from a Single Image to a Thousand Classes using Distillation
Extrapolating from a Single Image to a Thousand Classes using Distillation by Yuki M. Asano* and Aaqib Saeed* (*Equal Contribution) Extrapolating from
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
FusionNet_Pytorch FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics Requirements Pytorch 0.1.11 Pyt
Fully Connected DenseNet for Image Segmentation
Fully Connected DenseNets for Semantic Segmentation Fully Connected DenseNet for Image Segmentation implementation of the paper The One Hundred Layers
Credit EDA Case Study Using Python
This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc
A machine learning project which can detect and predict the skin disease through image recognition.
ML-Project-2021 A machine learning project which can detect and predict the skin disease through image recognition. The dataset used for this is the H
ISBI 2022: Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image.
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Introduction This repository contains the PyTorch implem
ObjectDrawer-ToolBox: a graphical image annotation tool to generate ground plane masks for a 3D object reconstruction system
ObjectDrawer-ToolBox is a graphical image annotation tool to generate ground plane masks for a 3D object reconstruction system, Object Drawer.
Opencv-image-filters - A camera to capture videos in real time by placing filters using Python with the help of the Tkinter and OpenCV libraries
Opencv-image-filters - A camera to capture videos in real time by placing filters using Python with the help of the Tkinter and OpenCV libraries
A python package to perform same transformation to coco-annotation as performed on the image.
coco-transform-util A python package to perform same transformation to coco-annotation as performed on the image. Installation Way 1 $ git clone https
The undersampled DWI image using Slice-Interleaved Diffusion Encoding (SIDE) method can be reconstructed by the UNet network.
UNet-SIDE The undersampled DWI image using Slice-Interleaved Diffusion Encoding (SIDE) method can be reconstructed by the UNet network. For Super Reso
Weakly-supervised semantic image segmentation with CNNs using point supervision
Code for our ECCV paper What's the Point: Semantic Segmentation with Point Supervision. Summary This library is a custom build of Caffe for semantic i
Generic Foreground Segmentation in Images
Pixel Objectness The following repository contains pretrained model for pixel objectness. Please visit our project page for the paper and visual resul
Image Encryption/Decryption based on Rubik Cube 's principle and AES
Image Encryption/Decryption based on Rubik Cube 's principle and AES Our final project for Theory of Crytography class. Our Image Encryption/Decryptio
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
The repository is my code for various types of data visualization cases based on the Matplotlib library.
ScienceGallery The repository is my code for various types of data visualization cases based on the Matplotlib library. It summarizes the code and cas
Image Recognition Model Generator
Takes a user-inputted query and generates a machine learning image recognition model that determines if an inputted image is or isn't their query
Colour detection is necessary to recognize objects, it is also used as a tool in various image editing and drawing apps.
Colour Detection On Image Colour detection is the process of detecting the name of any color. Simple isn’t it? Well, for humans this is an extremely e
Cl datasets - PyTorch image dataloaders and utility functions to load datasets for supervised continual learning
Continual learning datasets Introduction This repository contains PyTorch image
Image-generation-baseline - MUGE Text To Image Generation Baseline
MUGE Text To Image Generation Baseline Requirements and Installation More detail
ELSED: Enhanced Line SEgment Drawing
ELSED: Enhanced Line SEgment Drawing This repository contains the source code of ELSED: Enhanced Line SEgment Drawing the fastest line segment detecto
NeROIC: Neural Object Capture and Rendering from Online Image Collections
NeROIC: Neural Object Capture and Rendering from Online Image Collections This repository is for the source code for the paper NeROIC: Neural Object C
Official implementation for “Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior”
HEP Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior Implementation Python3 PyTorch=1.0 NVIDIA GPU+CUDA Training process The
Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP.
Hire-Wave-MLP.pytorch Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP Resul
Vector Quantized Diffusion Model for Text-to-Image Synthesis
Vector Quantized Diffusion Model for Text-to-Image Synthesis Due to company policy, I have to set microsoft/VQ-Diffusion to private for now, so I prov
A menu for pygame. Simple, and easy to use
pygame-menu Source repo on GitHub, and run it on Repl.it Introduction Pygame-menu is a python-pygame library for creating menus and GUIs. It supports
Unofficial Tensorflow Implementation of ConvNeXt from A ConvNet for the 2020s
Tensorflow Implementation of "A ConvNet for the 2020s" This is the unofficial Tensorflow Implementation of ConvNeXt from "A ConvNet for the 2020s" pap
NFT collection generator. Generates layered images
NFT collection generator Generates layered images, whole collections. Provides additional functionality. Repository includes three scripts generate.py
Hand Gesture Volume Control is AIML based project which uses image processing to control the volume of your Computer.
Hand Gesture Volume Control Modules There are basically three modules Handtracking Program Handtracking Module Volume Control Program Handtracking Pro
Create pinned requirements.txt inside a Docker image using pip-tools
Pin your Python dependencies! pin-requirements.py is a script that lets you pin your Python dependencies inside a Docker container. Pinning your depen
Semi-Automated Data Processing
Perform semi automated exploratory data analysis, feature engineering and feature selection on provided dataset by visualizing every possibilities on each step and assisting the user to make a meaningful decision to achieve a low-bias and low-variance model.
Advanced raster and geometry manipulations
buzzard In a nutshell, the buzzard library provides powerful abstractions to manipulate together images and geometries that come from different kind o
Image-retrieval-baseline - MUGE Multimodal Retrieval Baseline
MUGE Multimodal Retrieval Baseline This repo is implemented based on the open_cl
Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle.
2019-indian-election-eda Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle. This project is a part of the Cou
👾 Python project to help you convert any image into a pixel art.
👾 Pixel Art Generator Python project to help you convert any image into a pixel art. ⚙️ Developer's Guide Things you need to get started with this co
Anaglyph 3D Converter - A python script that adds a 3D anaglyph style effect to an image using the Pillow image processing package.
Anaglyph 3D Converter - A python script that adds a 3D anaglyph style effect to an image using the Pillow image processing package.
Supervised 3D Pre-training on Large-scale 2D Natural Image Datasets for 3D Medical Image Analysis
Introduction This is an implementation of our paper Supervised 3D Pre-training on Large-scale 2D Natural Image Datasets for 3D Medical Image Analysis.
Compact Bidirectional Transformer for Image Captioning
Compact Bidirectional Transformer for Image Captioning Requirements Python 3.8 Pytorch 1.6 lmdb h5py tensorboardX Prepare Data Please use git clone --
prior-based-losses-for-medical-image-segmentation
Repository for papers: Benchmark: Effect of Prior-based Losses on Segmentation Performance: A Benchmark Midl: A Surprisingly Effective Perimeter-based
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
we propose EfficientDerain for high-efficiency single-image deraining
EfficientDerain we propose EfficientDerain for high-efficiency single-image deraining Requirements python 3.6 pytorch 1.6.0 opencv-python 4.4.0.44 sci
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
Detecting Twenty-thousand Classes using Image-level Supervision Detic: A Detector with image classes that can use image-level labels to easily train d
Active Transport Analytics Model: A new strategic transport modelling and data visualization framework
{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”
Active Transport Analytics Model (ATAM) is a new strategic transport modelling and data visualization framework for Active Transport as well as emerging micro-mobility modes
{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”) is a new strategic transport modelling and data visualization framew
Validate arbitrary image uploads from incoming data urls while preserving file integrity but removing EXIF and unwanted artifacts and RCE exploit potential
Validate arbitrary base64-encoded image uploads as incoming data urls while preserving image integrity but removing EXIF and unwanted artifacts and mitigating RCE-exploit potential.
D-Analyst : High Performance Visualization Tool
D-Analyst : High Performance Visualization Tool D-Analyst is a high performance data visualization built with python and based on OpenGL. It allows to
In this project, we will be blurring the background in a live video feed
In this project, we will be blurring the background in a live video feed. This can be further integrated into online meetings, streamings etc.
A vanilla 3D face modeling on pose-invariant and multi-lightning image data
3D-Face-Modeling A vanilla 3D face modeling on pose-invariant and multi-lightning image data Table of Contents Background Install Usage Contributing B
deep learning for image processing including classification and object-detection etc.
深度学习在图像处理中的应用教程 前言 本教程是对本人研究生期间的研究内容进行整理总结,总结的同时也希望能够帮助更多的小伙伴。后期如果有学习到新的知识也会与大家一起分享。 本教程会以视频的方式进行分享,教学流程如下: 1)介绍网络的结构与创新点 2)使用Pytorch进行网络的搭建与训练 3)使用Te
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Intro Real-time object detection and classification. Paper: version 1, version 2. Read more about YOLO (in darknet) and download weight files here. In
🙄 Difficult algorithm, Simple code.
🎉TensorFlow2.0-Examples🎉! "Talk is cheap, show me the code." ----- Linus Torvalds Created by YunYang1994 This tutorial was designed for easily divin
FURY - A software library for scientific visualization in Python
Free Unified Rendering in Python A software library for scientific visualization in Python. General Information • Key Features • Installation • How to
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
Visualization of hidden layer activations of small multilayer perceptrons (MLPs)
MLP Hidden Layer Activation Visualization To gain some intuition about the internal representation of simple multi-layer perceptrons (MLPs) I trained
PyTorch implementaton of our CVPR 2021 paper "Bridging the Visual Gap: Wide-Range Image Blending"
Bridging the Visual Gap: Wide-Range Image Blending PyTorch implementaton of our CVPR 2021 paper "Bridging the Visual Gap: Wide-Range Image Blending".
Code for Overinterpretation paper Overinterpretation reveals image classification model pathologies
Overinterpretation This repository contains the code for the paper: Overinterpretation reveals image classification model pathologies Authors: Brandon
This is a super simple visualization toolbox (script) for transformer attention visualization ✌
Trans_attention_vis This is a super simple visualization toolbox (script) for transformer attention visualization ✌ 1. How to prepare your attention m
Augmentation for Single-Image-Super-Resolution
SRAugmentation Augmentation for Single-Image-Super-Resolution Implimentation CutBlur Cutout CutMix Cutup CutMixup Blend RGBPermutation Identity OneOf
Image based Human Fall Detection
Here I integrated the YOLOv5 object detection algorithm with my own created dataset which consists of human activity images to achieve low cost, high accuracy, and real-time computing requirements
A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection algorithms
AnnotateChange Welcome to the repository of the "AnnotateChange" application. This application was created to collect annotations of time series data
Medical appointments No-Show classifier
Medical Appointments No-shows Why do 20% of patients miss their scheduled appointments? A person makes a doctor appointment, receives all the instruct
Apply a perspective transformation to a raster image inside Inkscape (no need to use an external software such as GIMP or Krita).
Raster Perspective Apply a perspective transformation to bitmap image using the selected path as envelope, without the need to use an external softwar
Full-Stack application that visualizes amusement park safety.
Amusement Park Ride Safety Analysis Project Proposal We have chosen to look into amusement park data to explore ride safety relationships visually, in
A simple wrapper to analyse and visualise reinforcement learning agents' behaviour in the environment.
Visrl Visrl (pronounced "visceral") is a simple wrapper to analyse and visualise reinforcement learning agents' behaviour in the environment. Reinforc
A python visualization of the A* path finding algorithm
A python visualization of the A* path finding algorithm. It allows you to pick your start, end location and make obstacles and then view the process of finding the shortest path. You can also choose to include or exclude diagonal movement.
General Assembly's 2015 Data Science course in Washington, DC
DAT8 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (8/18/15 - 10/29/15). Instructor: Kevin Markham (
Setup and customize deep learning environment in seconds.
Deepo is a series of Docker images that allows you to quickly set up your deep learning research environment supports almost all commonly used deep le
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
U-GAT-IT — Official TensorFlow Implementation (ICLR 2020) : Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization fo
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition PDF Abstract Explainable artificial intelligence has been gaining attention
Learnable Boundary Guided Adversarial Training (ICCV2021)
Learnable Boundary Guided Adversarial Training This repository contains the implementation code for the ICCV2021 paper: Learnable Boundary Guided Adve
Customer Service Requests Analysis is one of the practical life problems that an analyst may face. This Project is one such take. The project is a beginner to intermediate level project. This repository has a Source Code, README file, Dataset, Image and License file.
Customer Service Requests Analysis Project 1 DESCRIPTION Background of Problem Statement : NYC 311's mission is to provide the public with quick and e
This Artificial Intelligence program can take a black and white/grayscale image and generate a realistic or plausible colorized version of the same picture.
Colorizer The point of this project is to write a program capable of taking a black and white / grayscale image, and generating a realistic or plausib
This project hosts the code for implementing the ISAL algorithm for object detection and image classification
Influence Selection for Active Learning (ISAL) This project hosts the code for implementing the ISAL algorithm for object detection and image classifi
Code for the paper "Reinforced Active Learning for Image Segmentation"
Reinforced Active Learning for Image Segmentation (RALIS) Code for the paper Reinforced Active Learning for Image Segmentation Dependencies python 3.6
Paper Title: Heterogeneous Knowledge Distillation for Simultaneous Infrared-Visible Image Fusion and Super-Resolution
HKDnet Paper Title: "Heterogeneous Knowledge Distillation for Simultaneous Infrared-Visible Image Fusion and Super-Resolution" Email: 18186470991@163.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
MNE-Python MNE-Python software is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, E
PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)
PyExplainer PyExplainer is a local rule-based model-agnostic technique for generating explanations (i.e., why a commit is predicted as defective) of J
PyMove is a Python library to simplify queries and visualization of trajectories and other spatial-temporal data
Use PyMove and go much further Information Package Status License Python Version Platforms Build Status PyPi version PyPi Downloads Conda version Cond