2197 Repositories
Python OpenCV-ToothPaint3-Advanced-Digital-Image-Editor Libraries
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
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
Annotate datasets with a semi-trained or fully trained YOLOv5 model
YOLOv5 Auto Annotator Annotate datasets with a semi-trained or fully trained YOLOv5 model Prerequisites Ubuntu =20.04 Python =3.7 System dependencie
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
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A deep learning framework for historical document image analysis
DIVA-DAF Description A deep learning framework for historical document image analysis.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
LabelImg is a graphical image annotation tool.
LabelImgPlus LabelImg is a graphical image annotation tool. This project is not updated with new functions now. More functions are supported with Labe
Labelme is a graphical image annotation tool, It is written in Python and uses Qt for its graphical interface
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Melanoma Skin Cancer Detection using Convolutional Neural Networks and Transfer Learning🕵🏻♂️
This is a Kaggle competition in which we have to identify if the given lesion image is malignant or not for Melanoma which is a type of skin cancer.
This pyhton script converts a pdf to Image then using tesseract as OCR engine converts Image to Text
Script_Convertir_PDF_IMG_TXT Este script de pyhton convierte un pdf en Imagen luego utilizando tesseract como motor OCR convierte la Imagen a Texto. p
Reverse-ikea-image-search - A simple image of ikea search using jina.ai
IKEA Reverse Image Search This is a demo project to fetch ikea product images(IK
Advanced Keylogger in Python
Advanced Keylogger in Python Important Disclaimer: The author will not be held r
Object classification with basic computer vision techniques
naive-image-classification Object classification with basic computer vision techniques. Final assignment for the computer vision course I took at univ
Computer vision applications project (Flask and OpenCV)
Computer Vision Applications Project This project is at it's initial phase. This is all about the implementation of different computer vision techniqu
Command line tool to automate transforming the effects of one color profile to another, possibly more standard one.
Finished rendering the frames of that animation, and now the colors look washed out and ugly? This terminal program will solve exactly that.
Bib-parser - Convenient script to parse .bib files with the ACM Digital Library like metadata
Bib Parser Convenient script to parse .bib files with the ACM Digital Library li
EdiBERT is a generative model based on a bi-directional transformer, suited for image manipulation
EdiBERT, a generative model for image editing EdiBERT is a generative model based on a bi-directional transformer, suited for image manipulation. The
This repository contains the database and code used in the paper Embedding Arithmetic for Text-driven Image Transformation
This repository contains the database and code used in the paper Embedding Arithmetic for Text-driven Image Transformation (Guillaume Couairon, Holger
Privacy-Preserving Portrait Matting [ACM MM-21]
Privacy-Preserving Portrait Matting [ACM MM-21] This is the official repository of the paper Privacy-Preserving Portrait Matting. Jizhizi Li∗, Sihan M
Generate pixel-style avatars with python.
face2pixel Generate pixel-style avatars with python. Run: Clone the project: git clone https://github.com/theodorecooper/face2pixel install requiremen
Eye-Blink-Counter - Python based Computer Vision project which counts how many time a person blinks
Eye Blink Counter OpenCV and Mediapipe No Blink Blink
Automatic generation of crypto-arts based on image layers
NFT Generator Автоматическая генерация крипто-артов на основе слоев изображения. Установка pip3 install -r requirements.txt rm -rf result/* Как это ра
Vit-ImageClassification - Pytorch ViT for Image classification on the CIFAR10 dataset
Vit-ImageClassification Introduction This project uses ViT to perform image clas
Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications
Labelbox Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications. Use this github repository to help you s
CVAT is free, online, interactive video and image annotation tool for computer vision
Computer Vision Annotation Tool (CVAT) CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our
Image Segmentation Evaluation
Image Segmentation Evaluation Martin Keršner, [email protected] Evaluation metrics for image segmentation inspired by paper Fully Convolutional Netw
Bot by image recognition simulating (random) human clicks
bbbot22 bot por reconhecimento de imagem simulando cliques humanos (aleatórios) inb4: sim, esse é basicamente o mesmo bot de 2021 porque a Globo não t
CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs
CLIP [Blog] [Paper] [Model Card] [Colab] CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pair
Awesome Transformers in Medical Imaging
This repo supplements our Survey on Transformers in Medical Imaging Fahad Shamshad, Salman Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat,
Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation
Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation The reference code of Improving Factual Completeness and C
This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"
ICCV Workshop 2021 VTGAN This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification [NeurIPS 2021] Abstract Multiple instance learn
Mixed Transformer UNet for Medical Image Segmentation
MT-UNet Update 2022/01/05 By another round of training based on previous weights, our model also achieved a better performance on ACDC (91.61% DSC). W
For medical image segmentation
LeViT_UNet For medical image segmentation Our model is based on LeViT (https://github.com/facebookresearch/LeViT). You'd better gitclone its codes. Th
This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Requirements Pytorch=1.6.0, 1.9.0 (=1.
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Introduction This repository contains the modified caffe library and network architectures for our paper "Automated Melanoma Recognition in Dermoscopy
Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification
Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification
TF Image Segmentation: Image Segmentation framework
TF Image Segmentation: Image Segmentation framework The aim of the TF Image Segmentation framework is to provide/provide a simplified way for: Convert
Seg-Torch for Image Segmentation with Torch
Seg-Torch for Image Segmentation with Torch This work was sparked by my personal research on simple segmentation methods based on deep learning. It is
A collection of semantic image segmentation models implemented in TensorFlow
A collection of semantic image segmentation models implemented in TensorFlow. Contains data-loaders for the generic and medical benchmark datasets.
Segmentation Training Pipeline
Segmentation Training Pipeline This package is a part of Musket ML framework. Reasons to use Segmentation Pipeline Segmentation Pipeline was developed
Interactive Image Segmentation via Backpropagating Refinement Scheme
Won-Dong Jang and Chang-Su Kim, Interactive Image Segmentation via Backpropagating Refinement Scheme, CVPR 2019
Single Image Super-Resolution (SISR) with SRResNet, EDSR and SRGAN
Single Image Super-Resolution (SISR) with SRResNet, EDSR and SRGAN Introduction Image super-resolution (SR) is the process of recovering high-resoluti
To prepare an image processing model to classify the type of disaster based on the image dataset
Disaster Classificiation using CNNs bunnysaini/Disaster-Classificiation Goal To prepare an image processing model to classify the type of disaster bas
Human Detection - Pedestrian Detection using OpenCV Python
Pedestrian Detection using OpenCV Python Follow us on Instagram for Machine Lear
The project's goal is to show a real world application of image segmentation using k means algorithm
The project's goal is to show a real world application of image segmentation using k means algorithm
Keras Image Embeddings using Contrastive Loss
Image to Embedding projection in vector space. Implementation in keras and tensorflow of batch all triplet loss for one-shot/few-shot learning.
MasterDuel Image Recognition Translation Command Line Tool
MasterDuelTranslate(Use Ygo Card DataBase,belong win32 window shot & image match)
Learn Basic to advanced level Data visualisation techniques from this Repository
Data visualisation Hey, You can learn Basic to advanced level Data visualisation techniques from this Repository. Data visualization is the graphic re
Face and other object detection using OpenCV and ML Yolo
Object-and-Face-Detection-Using-Yolo- Opencv and YOLO object and face detection is implemented. You only look once (YOLO) is a state-of-the-art, real-
Semi-hash-based Image Generator
pixel-planet Semi-hash-based Image Generator Utilizable for NFTs Generation Process Input is salted and hashed Colors (background, planet, stars) are
Microllect - Fully automated btc wallet hack,using advanced protocols
Microllect - Fully automated btc wallet hack,using advanced protocols
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images Histological Image Segmentation This
Keras Image Embeddings using Contrastive Loss
Keras-Image-Embeddings-using-Contrastive-Loss Image to Embedding projection in vector space. Implementation in keras and tensorflow for custom data. B
TGS Salt Identification Challenge
TGS Salt Identification Challenge This is an open solution to the TGS Salt Identification Challenge. Note Unfortunately, we can no longer provide supp
Airbus Ship Detection Challenge
Airbus Ship Detection Challenge This is an open solution to the Airbus Ship Detection Challenge. Our goals We are building entirely open solution to t
Cereal box identification in store shelves using computer vision and a single train image per model.
Product Recognition on Store Shelves Description You can read the task description here. Report You can read and download our report here. Step A - Mu
In this project, we'll be making our own screen recorder in Python using some libraries.
Screen Recorder in Python Project Description: In this project, we'll be making our own screen recorder in Python using some libraries. Requirements:
Image Classification - A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches
A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches
Minecraft - Online Players Overlay Generator
Minecraft - Online Players Overlay Generator Contents About Quick Start Download Pre-Built Binary Run from Source Configuration Command-Line Options F
Node editor view image node
A Blender addon to quickly view images from image nodes in Blender's image viewer.
Image Captioning on google cloud platform based on iot
Image-Captioning-on-google-cloud-platform-based-on-iot - Image Captioning on google cloud platform based on iot
Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python
yolov5-opencv-cpp-python Example of performing inference with ultralytics YOLO V
GNES enables large-scale index and semantic search for text-to-text, image-to-image, video-to-video and any-to-any content form
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
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 --
Detail-Preserving Transformer for Light Field Image Super-Resolution
DPT Official Pytorch implementation of the paper "Detail-Preserving Transformer for Light Field Image Super-Resolution" accepted by AAAI 2022 . Update
HairCLIP: Design Your Hair by Text and Reference Image
Overview This repository hosts the official PyTorch implementation of the paper: "HairCLIP: Design Your Hair by Text and Reference Image". Our single
(ICONIP 2020) MobileHand: Real-time 3D Hand Shape and Pose Estimation from Color Image
MobileHand: Real-time 3D Hand Shape and Pose Estimation from Color Image This repo contains the source code for MobileHand, real-time estimation of 3D
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
PyTorch Image Classification Following papers are implemented using PyTorch. ResNet (1512.03385) ResNet-preact (1603.05027) WRN (1605.07146) DenseNet
Haze Removal can remove slight to extreme cases of haze affecting an image
Haze Removal can remove slight to extreme cases of haze affecting an image. Its most typical use is for landscape photography where the haze causes low contrast and low saturation, but it can also be used to improve images taken during rainy and foggy conditions.
T‘rex Park is a Youzan sponsored project. Offering Chinese NLP and image models pretrained from E-commerce datasets
T‘rex Park is a Youzan sponsored project. Offering Chinese NLP and image models pretrained from E-commerce datasets (product titles, images, comments, etc.).
Separation of Mainlobes and Sidelobes in the Ultrasound Image Based on the Spatial Covariance (MIST) and Aperture-Domain Spectrum of Received Signals
Separation of Mainlobes and Sidelobes in the Ultrasound Image Based on the Spatial Covariance (MIST) and Aperture-Domain Spectrum of Received Signals
Yuque2md - Offline download the markdown file and image from yuque
yuque2md 按照语雀知识库里的目录,导出语雀知识库中所有的markdown文档,并离线图片到本地 使用 安装 Python3.x clone 项目 下载依
Virtualdragdrop - Virtual Drag and Drop Using OpenCV and Arduino
Virtualdragdrop - Virtual Drag and Drop Using OpenCV and Arduino
PianoVisuals - Create background videos synced with piano music using opencv
Steps Record piano video Use Neural Network to do body segmentation (video matti
A novel dual model approach for categorization of unbalanced skin lesion image classes (Presented technical paper 📃)
A novel dual model approach for categorization of unbalanced skin lesion image classes (Presented technical paper 📃)
🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"
PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)" Unofficial PyTorch Implementation of Progressi
Finetune the base 64 px GLIDE-text2im model from OpenAI on your own image-text dataset
Finetune the base 64 px GLIDE-text2im model from OpenAI on your own image-text dataset
This is a python project which detects color of an image when you double click on it.
This is a python project which detects color of an image when you double click on it. You have to press ESC button to close the pop-up Image window. There are mainly two library CV2 and Pandas that are used in this project.
Editor for Bioware's Original Neverwinter Nights Game
neveredit This is an import of an old sourceforge project. Neveredit is an editor for Bioware's Neverwinter Nights game. It also includes all the low
The aim of the game, as in the original one, is to find a specific image from a group of different images of a person's face
GUESS WHO Main Links: [Github] [App] Related Links: [CLIP] [Celeba] The aim of the game, as in the original one, is to find a specific image from a gr
The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.
Good news! Our new work exhibits state-of-the-art performances on DocUNet benchmark dataset: DocScanner: Robust Document Image Rectification with Prog
Python Computer Vision from Scratch
This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
An image processing project uses Viola-jones technique to detect faces and then use SIFT algorithm for recognition.
Attendance_System An image processing project uses Viola-jones technique to detect faces and then use LPB algorithm for recognition. Face Detection Us
A CNN model to detect hand gestures.
Software Used python - programming language used, tested on v3.8 miniconda - for managing virtual environment Libraries Used opencv - pip install open
Simple mathematical operations on image, point and surface layers.
napari-math This package provides a GUI interfrace for simple mathematical operations on image, point and surface layers. addition subtraction multipl
This repo is for segmentation of T2 hyp regions in gliomas.
T2-Hyp-Segmentor This repo is for segmentation of T2 hyp regions in gliomas. By downloading the model from here you can use it to segment your T2w ima