Python Video-image-extractor Resources

Automatic_Background_Remover A Web API for automatic background removal using Deep Learning. App is made using Flask and deployed on Heroku. 👉 https:

SQLite Image Handler Simple to use image handler for python sqlite3. Functions Function Name Parameters Returns init databasePath : str tableName : st

NeRFlow [ICCV'21] Neural Radiance Flow for 4D View Synthesis and Video Processing Datasets The pouring dataset used for experiments can be download he

Copy Paste positive polyp using poisson image blending for medical image segmentation According poisson image blending I've completely used it for bio

Location-aware Single Image Reflection Removal The shown images are provided by the datasets from IBCLN, ERRNet, SIR2 and the Internet images. The cod

ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet) (

Focal Frequency Loss - Official PyTorch Implementation This repository provides the official PyTorch implementation for the following paper: Focal Fre

Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform This repository is the implementation of "Variable-Rate Deep Image C

StarEnhancer StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement (ICCV 2021 Oral) Abstract: Image enhancement is a subjective process w

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte Computer Vision Lab

Omniscient Video Super-Resolution This is the official code of OVSR (Omniscient Video Super-Resolution, ICCV 2021). This work is based on PFNL. Datase

crfill Usage | Web App | | Paper | Supplementary Material | More results | code for paper ``CR-Fill: Generative Image Inpainting with Auxiliary Contex

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

Image Completion Transformer (ICT) Project Page | Paper (ArXiv) | Pre-trained Models | Supplemental Material This repository is the official pytorch i

Annotated 4K Videos paper | project website | code | demo video 4K videos with annotated object masks in our ICCV2021 paper: Internal Video Inpainting

Documentation The documentation is available on populse_mia's website here Installation From PyPI, for users By cloning the package, for developers Fr

Cutout tools for astronomical images Astrocut provides tools for making cutouts from sets of astronomical images with shared footprints. It is under a

Pure Python implementation of the GIMP image formats (.xcf projects as well as brushes, patterns, etc)

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.

impy is All You Need in Image Analysis impy is an all-in-one image analysis library, equipped with parallel processing, GPU support, GUI based tools a

Kimimaro: Skeletonize Densely Labeled Images # Produce SWC files from volumetric images. kimimaro forge labels.npy --progress # writes to ./kimimaro_o

Vignette Vignette is a Python library to create and manage thumbnails following the FreeDesktop standard. Thumbnails are stored in a shared directory

The ScreenTeX project By: Seanpm2001 / ScreenTeX, Et; Al. Top README.md Read this article in a different language 🌐 List of languages Sorted by: A-Z

An Image Captioning codebase This is a codebase for image captioning research. It supports: Self critical training from Self-critical Sequence Trainin

img2texture Command line utility for converting images to seamless tiles. The resulting tiles can be used as textures in games, compositing and 3D mod

A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis This is the pytorch implementation for our MICCAI 2021 paper. A Mul

MODEL SUMMARY 모델의 구조는 크게 6단계로 나뉩니다. STEP 0: Input Image Predict 할 이미지를 모델에 입력합니다. STEP 1: Make Black and White Image STEP 1 은 입력받은 이미지의 글자를 흑색으로, 배경을

EFENet EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation Code is a bit messy now. I woud clean up soon. For training the EF

Self-Attention Context Network for Hyperspectral Image Classification PyTorch implementation of our method for adversarial attacks and defenses in hyp

Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video. You can chose the cha

Diverse Image Inpainting with Bidirectional and Autoregressive Transformers Installation pip install -r requirements.txt Dataset Preparation Given the

Vision Transformer Pytorch reimplementation of Google's repository for the ViT model that was released with the paper An Image is Worth 16x16 Words: T

Automatic Image Background Subtraction This repo contains set of scripts for automatic one-shot image background subtraction task using the following

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 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

Install Library pypi $ pip3 install xremovebg

EXE4J Configuration Extractor This script helps reverse engineering Portable Executable files created with EXE4J by extracting their configuration dat

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. Bobo Xi, Jiaojiao Li, Yunsong Li and Qian Du. Code f

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

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

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.

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

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.

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 This package contains the Python implementation of "Semi-supervised Transfer Learning for Ima

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 [arxiv] [pdf] [supp] Introduction This paper provides a better and simpler baselin

SRNTT: Image Super-Resolution by Neural Texture Transfer Tensorflow implementation of the paper Image Super-Resolution by Neural Texture Transfer acce

Gated Multiple Feedback Network for Image Super-Resolution This repository contains the PyTorch implementation for the proposed GMFN [arXiv]. The fram

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

IGNN Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" [paper] [supp] Prepare datasets 1 Download training dataset

##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

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) 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" is pub

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 (MSPFN) This is an implementation of the MSPFN model proposed in the paper (Multi-Sc

Single Image Deraining Using Bilateral Recurrent Network Introduction Single image deraining has received considerable progress based on deep convolut

EDVR has been merged into BasicSR. This GitHub repo is a mirror of BasicSR. Recommend to use BasicSR, and open issues, pull requests, etc in BasicSR.

DFN：Distributed Feedback Network for Single-Image Deraining Abstract Recently, deep convolutional neural networks have achieved great success for sing

pycls pycls is an image classification codebase, written in PyTorch. It was originally developed for the On Network Design Spaces for Visual Recogniti

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

Image Colorization API Machine Learning Model used- https://github.com/richzhang/colorization/tree/caffe Paper - https://arxiv.org/abs/1603.08511 Step

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

DeCLIP Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm. Our paper is available in arxiv Updates ** Ou

Komposition The video editor built for screencasters Tutorial Video | Introduction | Installation Documentation See the documentation and user guide.

Thumbnail Generator 🎬 What is This This is a Python application that can be used to generate video thumbnail for mp4 and mkv file types. Installation

Video Scene Cut Detection and Analysis Tool Latest Release: v0.5.6.1 (October 11, 2021) Main Webpage: py.scenedetect.com Documentation: manual.scenede

Text2Video Text2Video's purpose is to help people create videos quickly and easily by simply typing out the video’s script and a description of images

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

yt-dlp is a youtube-dl fork based on the now inactive youtube-dlc. The main focus of this project is adding new features and patches while also keepin

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

FFenmass CLI Utility to encode and recursively recreate directories with ffmpeg. Report Bug · Request Feature Table of Contents Getting Started Prereq

Av1an A cross-platform framework to streamline encoding Easy, Fast, Efficient and Feature Rich An easy way to start using AV1 / HEVC / H264 / VP9 / VP

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

This work has now been superseded by: https://github.com/sniklaus/revisiting-sepconv sepconv-slomo This is a reference implementation of Video Frame I

Python Simple Mass Video Clipper (PSMVC) PSMVC é um gerador de cortes via terminal construído em python. Uso Basta abrir o arquivo start.py Dependenci

RIFE - Real Time Video Interpolation arXiv | YouTube | Colab | Tutorial | Demo Table of Contents Introduction Collection Usage Evaluation Training and

AutoSub About Motivation Installation Docker How-to example How it works TO-DO Contributing References About AutoSub is a CLI application to generate

Youtube-Video-Downloader Youtube Video Downloader Using Python Gui Appliction with progress Bar Module Used Pytube Tkinter Pil Urllib Bytes Io LICENSE

TikTokDL (Bot) Telegram RoBot to Download Tiktok video/audio. Features: 👉 Download TikTok Video without Watermark 👉 Download TikTok Video with Water

Voice Chat Streamer This bot can stream audio or video files and urls in telegram voice chats :) 🎯 Follow me and star this repo for more telegram bot

Video Object Segmentation(VOS) From Zero to Hero! Goal 1:train a two layers cnn model for vos. Finish! see model.py FFNet for more diteal.(2021.9.30)

𝐏𝐝𝐢𝐬𝐤 𝐂𝐨𝐧𝐯𝐞𝐫𝐭𝐞𝐫 𝐁𝐨𝐭 Make short link by using 𝐏𝐝𝐢𝐬𝐤 API key Installation 𝐓𝐡𝐞 𝐄𝐚𝐬𝐲 𝐖𝐚𝐲 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞

Youtube Downloader This Python and Tkinter based GUI allows users to directly download the Best Resolution Videos and Audios from Youtube. Pa-fy Insta

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

revisiting-sepconv This is a reference implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation [1] using PyTorch. Given two f

PyPhotoshop Python implementation of image filters Use Python to adjust brightness and contrast, add blur, and detect edges! Follow along tutorial: ht

the best video downloader for terminals (currently only compatible with Linux and Windows)

TkVideoplayer - This is a simple library to play video files in tkinter.

BraVe This is a JAX implementation of Broaden Your Views for Self-Supervised Video Learning, or BraVe for short. The model provided in this package wa

PyTransKit Python Transport Based Signal Processing Toolkit Website and documentation: https://pytranskit.readthedocs.io/ Installation The library cou

This is a repository for the paper of "Well-classified Examples are Underestimated in Classification with Deep Neural Networks" The implementation and

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

Benchmarking the robustness of Spatial-Temporal Models This repositery contains the code for the paper Benchmarking the Robustness of Spatial-Temporal