2411 Repositories
Python image-recognition Libraries
Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
Pytorch Implementation of Deep Orthogonal Fusion of Local and Global Features (DOLG) This is the unofficial PyTorch Implementation of "DOLG: Single-St
Push Container Image To Docker Registry In Python
push-container-image-to-docker-registry 概要 push-container-image-to-docker-registry は、エッジコンピューティング環境において、特定のエッジ端末上の Private Docker Registry に特定のコンテナイメー
Remove Background from Image With Python
Install Library pypi $ pip3 install xremovebg
A Jupyter notebook to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.
A Jupyter notebook to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.
Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, IGARSS, 2021.
Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, IGARSS, 2021. Bobo Xi, Jiaojiao Li, Yunsong Li and Qian Du. Code f
Optimize/Compress images using python
Image Optimization Using Python steps to run the script run the command to install the required libraries pip install -r requirements.txt create a dir
Official PyTorch implementation of N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras (ICCV 2021)
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras Official PyTorch implementation of N-ImageNet: Towards Robust, Fine-Gra
PocketSphinx is a lightweight speech recognition engine, specifically tuned for handheld and mobile devices, though it works equally well on the desktop
PocketSphinx 5prealpha This is PocketSphinx, one of Carnegie Mellon University's open source large vocabulary, speaker-independent continuous speech r
Spatial color quantization in Rust
rscolorq Rust port of Derrick Coetzee's scolorq, based on the 1998 paper "On spatial quantization of color images" by Jan Puzicha, Markus Held, Jens K
Medical image analysis framework merging ANTsPy and deep learning
ANTsPyNet A collection of deep learning architectures and applications ported to the python language and tools for basic medical image processing. Bas
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
Unsupervised Image Generation with Infinite Generative Adversarial Networks
Unsupervised Image Generation with Infinite Generative Adversarial Networks Here is the implementation of MICGANs using DCGAN architecture on MNIST da
Official PyTorch Implementation of Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition, ICCV 2021
Official PyTorch Implementation of Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition, ICCV 2021
Finger is a function symbol recognition engine for binary programs
Finger is a function symbol recognition engine for binary programs
object recognition with machine learning on Respberry pi
Respberrypi_object-recognition object recognition with machine learning on Respberry pi line.py 建立一支與樹梅派連線的 linebot 使用此 linebot 遠端控制樹梅派拍照 config.ini l
HCaptcha solver using requests and an image recognition package!
HCaptcha solver using requests and an image recognition package! Report Bug · Request Feature Features Image recognition Requests base
A collection of papers about Transformer in the field of medical image analysis.
A collection of papers about Transformer in the field of medical image analysis.
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution
unfoldedVBA Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution This repository contains the Pytorch implementation of the unrolled
Semi-supervised Transfer Learning for Image Rain Removal. In CVPR 2019.
Semi-supervised Transfer Learning for Image Rain Removal This package contains the Python implementation of "Semi-supervised Transfer Learning for Ima
Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)
Feedback Network for Image Super-Resolution [arXiv] [CVF] [Poster] Update: Our proposed Gated Multiple Feedback Network (GMFN) will appear in BMVC2019
Progressive Image Deraining Networks: A Better and Simpler Baseline
Progressive Image Deraining Networks: A Better and Simpler Baseline [arxiv] [pdf] [supp] Introduction This paper provides a better and simpler baselin
Image Super-Resolution by Neural Texture Transfer
SRNTT: Image Super-Resolution by Neural Texture Transfer Tensorflow implementation of the paper Image Super-Resolution by Neural Texture Transfer acce
PyTorch code for our paper "Gated Multiple Feedback Network for Image Super-Resolution" (BMVC2019)
Gated Multiple Feedback Network for Image Super-Resolution This repository contains the PyTorch implementation for the proposed GMFN [arXiv]. The fram
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
About PyTorch 1.2.0 Now the master branch supports PyTorch 1.2.0 by default. Due to the serious version problem (especially torch.utils.data.dataloade
Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)
IGNN Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" [paper] [supp] Prepare datasets 1 Download training dataset
Python implementation of "Single Image Haze Removal Using Dark Channel Prior"
##Dependencies pillow(~2.6.0) Numpy(~1.9.0) If the scripts throw AttributeError: __float__, make sure your pillow has jpeg support e.g. try: $ sudo ap
Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)
DID-MDN Density-aware Single Image De-raining using a Multi-stream Dense Network He Zhang, Vishal M. Patel [Paper Link] (CVPR'18) We present a novel d
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19) Tianyu Wang*, Xin Yang*, Ke Xu, Shaozhe Chen, Qiang Zhang, Ry
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
Second-order Attention Network for Single Image Super-resolution (CVPR-2019) "Second-order Attention Network for Single Image Super-resolution" is pub
Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)
Residual Dense Network for Image Super-Resolution This repository is for RDN introduced in the following paper Yulun Zhang, Yapeng Tian, Yu Kong, Bine
Multi-Scale Progressive Fusion Network for Single Image Deraining
Multi-Scale Progressive Fusion Network for Single Image Deraining (MSPFN) This is an implementation of the MSPFN model proposed in the paper (Multi-Sc
Single Image Deraining Using Bilateral Recurrent Network (TIP 2020)
Single Image Deraining Using Bilateral Recurrent Network Introduction Single image deraining has received considerable progress based on deep convolut
Pytorch implementation for DFN: Distributed Feedback Network for Single-Image Deraining.
DFN:Distributed Feedback Network for Single-Image Deraining Abstract Recently, deep convolutional neural networks have achieved great success for sing
Codebase for Image Classification Research, written in PyTorch.
pycls pycls is an image classification codebase, written in PyTorch. It was originally developed for the On Network Design Spaces for Visual Recogniti
A PyTorch implementation of PointRend: Image Segmentation as Rendering
PointRend A PyTorch implementation of PointRend: Image Segmentation as Rendering [arxiv] [Official Implementation: Detectron2] This repo for Only Sema
Unet network with mean teacher for altrasound image segmentation
Unet network with mean teacher for altrasound image segmentation
An API which would colorize a black and white image
Image Colorization API Machine Learning Model used- https://github.com/richzhang/colorization/tree/caffe Paper - https://arxiv.org/abs/1603.08511 Step
A simple tool for searching images inside a local folder with text/image input using CLIP
clip-search (WIP) A simple tool for searching images inside a local folder with text/image input using CLIP 10 results for "a blonde woman" in a folde
Face Library is an open source package for accurate and real-time face detection and recognition
Face Library Face Library is an open source package for accurate and real-time face detection and recognition. The package is built over OpenCV and us
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
DeCLIP Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm. Our paper is available in arxiv Updates ** Ou
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
OpenFace 2.2.0: a facial behavior analysis toolkit Over the past few years, there has been an increased interest in automatic facial behavior analysis
Python and OpenCV-based scene cut/transition detection program & library.
Video Scene Cut Detection and Analysis Tool Latest Release: v0.5.6.1 (October 11, 2021) Main Webpage: py.scenedetect.com Documentation: manual.scenede
This is a tool for making a every day video if you take a picture of you everyday
Face-Everyday-Maker-Studio Description This project is a tool for making a everyday video, which is timelapse video or slides video, of images but for
Collection of Docker images for ML/DL and video processing projects
Collection of Docker images for ML/DL and video processing projects. Overview of images Three types of images differ by tag postfix: base: Python with
A python program which converts images and video into excel spreadsheets.
image2excel A program which converts images and video into Excel spreadsheets. Usage examples can be found in examples Videos can take a long time to
Face Mask Detection on Image and Video using tensorflow and keras
Face-Mask-Detection Face Mask Detection on Image and Video using tensorflow and keras Train Neural Network on face-mask dataset using tensorflow and k
Python implementation of image filters (such as brightness, contrast, saturation, etc.)
PyPhotoshop Python implementation of image filters Use Python to adjust brightness and contrast, add blur, and detect edges! Follow along tutorial: ht
Python Library for Signal/Image Data Analysis with Transport Methods
PyTransKit Python Transport Based Signal Processing Toolkit Website and documentation: https://pytranskit.readthedocs.io/ Installation The library cou
UniSpeech - Large Scale Self-Supervised Learning for Speech
UniSpeech The family of UniSpeech: UniSpeech (ICML 2021): Unified Pre-training for Self-Supervised Learning and Supervised Learning for ASR UniSpeech-
Code for the preprint "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
This is a repository for the paper of "Well-classified Examples are Underestimated in Classification with Deep Neural Networks" The implementation and
Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment"
DSN-IQA Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment" Requirements Python =3.8.0 Pytorch =1.7.1 Usage wit
Breaking the Dilemma of Medical Image-to-image Translation
Breaking the Dilemma of Medical Image-to-image Translation Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that dominate the field
Ground truth data for the Optical Character Recognition of Historical Classical Commentaries.
OCR Ground Truth for Historical Commentaries The dataset OCR ground truth for historical commentaries (GT4HistComment) was created from the public dom
This is an official pytorch implementation of Fast Fourier Convolution.
Fast Fourier Convolution (FFC) for Image Classification This is the official code of Fast Fourier Convolution for image classification on ImageNet. Ma
Breaking the Dilemma of Medical Image-to-image Translation
Breaking the Dilemma of Medical Image-to-image Translation Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that dominate the field
question‘s area recognition using image processing and regular expression
======================================== Paper-Question-recognition ======================================== question‘s area recognition using image p
Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment"
DSN-IQA Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment" Requirements Python =3.8.0 Pytorch =1.7.1 Usage wit
Leon is an open-source personal assistant who can live on your server.
Leon Your open-source personal assistant. Website :: Documentation :: Roadmap :: Contributing :: Story 👋 Introduction Leon is an open-source personal
Python SDK for working with Voicegain Speech-to-Text
Voicegain Speech-to-Text Python SDK Python SDK for the Voicegain Speech-to-Text API. This API allows for large vocabulary speech-to-text transcription
African language Speech Recognition - Speech-to-Text
Swahili-Speech-To-Text Table of Contents Swahili-Speech-To-Text Overview Scenario Approach Project Structure data: models: notebooks: scripts tests: l
Web service for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation based on OpenFace 2.0
OpenGaze: Web Service for OpenFace Facial Behaviour Analysis Toolkit Overview OpenFace is a fantastic tool intended for computer vision and machine le
GeneralOCR is open source Optical Character Recognition based on PyTorch.
Introduction GeneralOCR is open source Optical Character Recognition based on PyTorch. It makes a fidelity and useful tool to implement SOTA models on
Repo for EchoVPR: Echo State Networks for Visual Place Recognition
EchoVPR Repo for EchoVPR: Echo State Networks for Visual Place Recognition Currently under development Dirs: data: pre-collected hidden representation
👐OpenHands : Making Sign Language Recognition Accessible (WiP 🚧👷♂️🏗)
👐 OpenHands: Sign Language Recognition Library Making Sign Language Recognition Accessible Check the documentation on how to use the library: ReadThe
Repository sharing code and the model for the paper "Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes"
Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes Setup virtualenv -p python3 venv source venv/bin/activate pip instal
A brand new hub for Scene Graph Generation methods based on MMdetection (2021). The pipeline of from detection, scene graph generation to downstream tasks (e.g., image cpationing) is supported. Pytorch version implementation of HetH (ECCV 2020) and TopicSG (ICCV 2021) is included.
MMSceneGraph Introduction MMSceneneGraph is an open source code hub for scene graph generation as well as supporting downstream tasks based on the sce
SlideGraph+: Whole Slide Image Level Graphs to Predict HER2 Status in Breast Cancer
SlideGraph+: Whole Slide Image Level Graphs to Predict HER2 Status in Breast Cancer A novel graph neural network (GNN) based model (termed SlideGraph+
[ICCV 2021 Oral] Deep Evidential Action Recognition
DEAR (Deep Evidential Action Recognition) Project | Paper & Supp Wentao Bao, Qi Yu, Yu Kong International Conference on Computer Vision (ICCV Oral), 2
This is a simple bot that can be used to upload images to a third-party cloud (image hosting). Currently, only the imgbb.com website supports the bot. I Will do future updates
TGImageHosting This is a simple bot that can be used to upload images to a third party cloud (image hosting). Currently, only the imgbb.com website su
GAN-generated image detection based on CNNs
GAN-image-detection This repository contains a GAN-generated image detector developed to distinguish real images from synthetic ones. The detector is
🎶😤 Generate an image indicating what you are listening to 😳
I'm Listening to This (song that I've sent you an image about detailing its metadata in a nifty way) Few lines describing your project. 📝 Table of Co
Open-Set Recognition: A Good Closed-Set Classifier is All You Need
Open-Set Recognition: A Good Closed-Set Classifier is All You Need Code for our paper: "Open-Set Recognition: A Good Closed-Set Classifier is All You
基于openpose和图像分类的手语识别项目
手语识别 0、使用到的模型 (1). openpose,作者:CMU-Perceptual-Computing-Lab https://github.com/CMU-Perceptual-Computing-Lab/openpose (2). 图像分类classification,作者:Bubbl
Generates a random prnt.sc link and display image.
Generates a random prnt.sc link and display image.
It is a image ocr tool using the Tesseract-OCR engine with the pytesseract package and has a GUI.
OCR-Tool It is a image ocr tool made in Python using the Tesseract-OCR engine with the pytesseract package and has a GUI. This is my second ever pytho
FAST-RIR: FAST NEURAL DIFFUSE ROOM IMPULSE RESPONSE GENERATOR
This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
TorchOk - The toolkit for fast Deep Learning experiments in Computer Vision
TorchOk - The toolkit for fast Deep Learning experiments in Computer Vision
Simple image captioning model - CLIP prefix captioning.
Simple image captioning model - CLIP prefix captioning.
[ICCV'2021] Image Inpainting via Conditional Texture and Structure Dual Generation
[ICCV'2021] Image Inpainting via Conditional Texture and Structure Dual Generation
PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)
PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)
Simple PoC script that allows you to exploit telegram's "send with timer" feature by saving any media sent with this functionality.
Simple PoC script that allows you to exploit telegram's "send with timer" feature by saving any media sent with this functionality.
A 10000+ hours dataset for Chinese speech recognition
WenetSpeech Official website | Paper A 10000+ Hours Multi-domain Chinese Corpus for Speech Recognition Download Please visit the official website, rea
Shallow Convolutional Neural Networks for Human Activity Recognition using Wearable Sensors
-IEEE-TIM-2021-1-Shallow-CNN-for-HAR [IEEE TIM 2021-1] Shallow Convolutional Neural Networks for Human Activity Recognition using Wearable Sensors All
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition [ArXiv] [Project Page] This repository is the official implementation of AdaMML:
Neural network for recognizing the gender of people in photos
Neural Network For Gender Recognition How to test it? Install requirements.txt file using pip install -r requirements.txt command Run nn.py using pyth
A (very dirty) experiment to remove layers from a Docker image.
Surgically remove layers from a Docker image (with a chainsaw)
Image Detector and Convertor App created using python's Pillow, OpenCV, cvlib, numpy and streamlit packages.
Image Detector and Convertor App created using python's Pillow, OpenCV, cvlib, numpy and streamlit packages.
This tool allows the user to convert a 16 by 16 image into a list with numbers representing an object/character.
Room Formatter This tool allows the user to convert a 16 by 16 image into a list with numbers representing an object/character. There is cur
Nanosensor Image Processor (NanoImgPro), a python-based image analysis tool for dopamine nanosensors
NanoImgPro Nanosensor Image Processor (NanoImgPro), a python-based image analysis tool for dopamine nanosensors NanoImgPro.py contains the main class
Instance-level Image Retrieval using Reranking Transformers
Instance-level Image Retrieval using Reranking Transformers Fuwen Tan, Jiangbo Yuan, Vicente Ordonez, ICCV 2021. Abstract Instance-level image retriev
Mesh Graphormer is a new transformer-based method for human pose and mesh reconsruction from an input image
MeshGraphormer ✨ ✨ This is our research code of Mesh Graphormer. Mesh Graphormer is a new transformer-based method for human pose and mesh reconsructi
TRREASURE_IMAGE is python lib by which you can hide anything in a .jpg image with Command-Line Interface[cli] feature
TRREASURE_IMAGE TRREASURE_IMAGE is a python third-party library with Command-Line Interface[cli] feature. Table of Contents General Info Python librar
Code for 'Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning', ICCV 2021
CMIC-Retrieval Code for Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning. ICCV 2021. Introduction In this wo
Automatically resolve RidderMaster based on TensorFlow & OpenCV
AutoRiddleMaster Automatically resolve RidderMaster based on TensorFlow & OpenCV 基于 TensorFlow 和 OpenCV 实现的全自动化解御迷士小马谜题 Demo How to use Deploy the ser
Change your Windows background with this program safely & easily!
Background_Changer Table of Contents: About the Program Features Requirements Preview Credits Reach Me See Also About the Program: You can change your
Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"
GRAF This repository contains official code for the paper GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. You can find detailed usage i
PyTorch implementation of paper "IBRNet: Learning Multi-View Image-Based Rendering", CVPR 2021.
IBRNet: Learning Multi-View Image-Based Rendering PyTorch implementation of paper "IBRNet: Learning Multi-View Image-Based Rendering", CVPR 2021. IBRN
Blue noise image stippling in Processing (requires GPU)
Blue noise image stippling in Processing (requires GPU)
Python Image Morpher (PIM) is a program that can take two images and blend them to whatever extent or precision that you like
Python Image Morpher (PIM) is a program that can take two images and blend them to whatever extent or precision that you like! It is designed to emulate some of Python's OpenCV image processing from scratch without reference.