Python Dynamic-images Resources

Dynamic Head: Unifying Object Detection Heads with Attentions dyhead_video.mp4 This is the official implementation of CVPR 2021 paper "Dynamic Head: U

Plux plux is the dynamic code loading framework used in LocalStack. Overview The

Desktop utility to download images/videos/music/text from various websites, and more

Gen Programming Language WARNING!! THIS LANGUAGE IS IN DEVELOPMENT. ANYTHING CAN CHANGE AT ANY MOMENT. Gen is a dynamic, interpreted, procedural progr

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

Denoising images with Fourier Ring Correlation loss The python code accompanies the working manuscript Image quality measurements and denoising using

MAg Paper Abstract File structure Dataset prepare Data description How to use MAg? Why not try the MAg_lib! Trained models Experiment and results Some

Awesome Deep Learning Table of Contents Books Courses Videos and Lectures Papers Tutorials Researchers Websites Datasets Conferences Frameworks Tools

CECED-Canny-Edge-Contrast-Enhanced-Detection A simple code to perform canny edge contrast detection on images. A simple code to process images using c

This figure is gotten from this link https://link.springer.com/chapter/10.1007/978-3-030-01449-0_24 LBP-Local-Binary-Pattern A simple code for process

UAV Solar-Sensor Angle Calculation Table of Contents About The Project Built With Getting Started Prerequisites Installation Datasets Contributing Lic

GLNet for Memory-Efficient Segmentation of Ultra-High Resolution Images Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-

Pneumonia Detection from X-Rays Project Overview In this project, you will apply the skills that you have acquired in this 2D medical imaging course t

🦈 Blahaj Bot Blahaj is a discord bot that shares random images of himself on discord. ⚙️ Developer's Guide To use the bot, follow along the steps Hea

Pixel Objectness The following repository contains pretrained model for pixel objectness. Please visit our project page for the paper and visual resul

Deep Learning for Human Part Discovery in Images - Chainer implementation NOTE: This is not official implementation. Original paper is Deep Learning f

A small script I made that takes any standard Decklist of magic the gathering cards and pulls all card images from scryfall at once!

Transfer Learning for MRI Images Classification This repository introduces a short project made during my stay at Neuromatch Summer School 2021. This

🐳 RAUDI: Regularly and Automatically Updated Docker Images RAUDI (Regularly and Automatically Updated Docker Images) automatically generates and keep

NFT collection generator Generates layered images, whole collections. Provides additional functionality. Repository includes three scripts generate.py

Generate daily updated visualizations of GitHub user and repository statistics from the GitHub API using GitHub Actions for any combination of private and public repositories, whether owned or contributed to - no server required.

A simple program to recolour simple png icon-like pictures with just one colour + transparent or white background. Resulting images all have transparent background and a new colour.

dffm The goal of dffm is to provide functionality to apply the methods developed in the paper “Dynamic Factor Model for Functional Time Series: Identi

Pytorch 1.10.0 code for: Negative Evidence Matters in Interpretable Histology Image Classification (https://arxiv. org/abs/xxxx.xxxxx) Citation: @arti

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)

The Unsplash Dataset The Unsplash Dataset is made up of over 250,000+ contributing global photographers and data sourced from hundreds of millions of

Python library for the analysis of dynamic measurements The goal of this library is to provide a starting point for users in metrology and related are

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

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

Welcome to the dtw-python package Comprehensive implementation of Dynamic Time Warping algorithms. DTW is a family of algorithms which compute the loc

similaritymeasures Quantify the difference between two arbitrary curves Curves in this case are: discretized by inidviudal data points ordered from a

PyDSE Toolset for Dynamic System Estimation for time series inspired by DSE. It is in a beta state and only includes ARMA models right now. Documentat

Spatio-Temporal Dynamic Inference Network for Group Activity Recognition The source codes for ICCV2021 Paper: Spatio-Temporal Dynamic Inference Networ

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.

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 G

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 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. About Tiler is a tool to create an image using all kinds of other smaller images (tiles). It is different from other mosa

Data Framework for Semantic/Instance Segmentation Bunch of different tools which helps visualizing, transforming and annotating images for semantic/in

yiffer-dl Downloads comics as images from yiffer.xyz.

CrossHair An analysis tool for Python that blurs the line between testing and type systems. THE LATEST NEWS: Check out the new crosshair cover command

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

📈 Automated Time Series Forecasting Background: This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to gene

Streamlit - Drawable Canvas Streamlit component which provides a sketching canvas using Fabric.js. Features Draw freely, lines, circles, boxes and pol

110-1-NTU-DBME5028-Histology-images-query Final Project: Histology images query (unsupervised) Kaggle: https://www.kaggle.com/c/histology-images-query

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

torchsummaryDynamic Improved tool of torchsummaryX. torchsummaryDynamic support real FLOPs calculation of dynamic network or user-custom PyTorch ops.

Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB This repository is the official implementation of the paper. Our results comming soon in

Face Anonymizer Blur faces from image and video files in /input/ folder. Require

NFT-Image-Generator Utility for creating a generative art collection from suppli

Deploy/View images to database sqlite with fastapi cd realistic Dependencies dat

TuiGAN-PyTorch Official PyTorch Implementation of "TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images" (ECCV 2020 Spotligh

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

Learning to Generate Grounded Visual Captions without Localization Supervision This is the PyTorch implementation of our paper: Learning to Generate G

M²: Meshed-Memory Transformer This repository contains the reference code for the paper Meshed-Memory Transformer for Image Captioning (CVPR 2020). Pl

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 Horizontal Detector Based PyTorch This is a horizontal detector Ret

Picot A discord bot made to fetch images from Pexels and unsplash API and provid

Deep Learning - Image Captioning with Convolutional and Recurrent Neural Nets ========================================================================

DOODS2 - Return of DOODS Dedicated Open Object Detection Service - Yes, it's a b

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. modules required:requests_html, and os by default saves files with

seq2seq with TensorFlow Collection of unfinished tutorials. May be good for educational purposes. 1 - simple sequence-to-sequence model with dynamic u

imutils A series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization, and displ

imagededup is a python package that simplifies the task of finding exact and near duplicates in an image collection.

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

CapsNet-Tensorflow A Tensorflow implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules Notes: The current version

Overview This repository implements some common path planning algorithms used in robotics, including Search-based algorithms and Sampling-based algori

BRNet code for "Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss func

🐾 paw-segmentation 🐾 Semantic segmentation of paws from cute pet images 🐾 Semantic segmentation of paws from cute pet images (PyTorch) 🐾 Paw Segme

Retrieving Black-box Optimal Images from External Databases (WSDM 2022) We propose how a user retreives an optimal image from external databases of we

Training Script for Reuse-VOS This code implementation of CVPR 2021 paper : Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Vi

Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model Baris Gecer 1, Binod Bhattarai 1

image retrieval This is a python code to retrieve an image from the internet, a

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

Pretraining on Dynamic Graph Neural Networks Our article is PT-DGNN and the code is modified based on GPT-GNN Requirements python 3.6 Ubuntu 18.04.5 L

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/. Features Scrapes 10 pages Scrapes each thread Downloads all the images

Py_PSNODE General neural ODE and DAE modules for power system dynamic modeling. The PyTorch-based ODE solver is developed based on torchdiffeq. Sample

Learning to Classify Images without Labels This repo contains the Pytorch implementation of our paper: SCAN: Learning to Classify Images without Label

AdaFocusV2 This repo contains the official code and pre-trained models for AdaFo

A2B Generates images with semantic content from distribution A in the style of d

Unknown Object Segmentation from Stereo Images Unknown Object Segmentation from Stereo Images Maximilian Durner*, Wout Boerdijk*, Martin Sundermeyer,

Hierarchical Attention Mining (HAM) for weakly-supervised abnormality localization This is the official PyTorch implementation for the HAM method. Pap

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

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

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 A propos de ce document This is a markdown document about Web scraping images and videos using Selenium

NormCap OCR powered screen-capture tool to capture information instead of images. Links: Repo | PyPi | Releases | Changelog | FAQs Content: Quickstart

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

nider Python package for text images generation and watermarking Free software: MIT license Documentation: https://nider.readthedocs.io. nider is an a

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.

Flexible constructor to create dynamic list of heterogeneous properties for some kind of entity. This set of helpers useful to create properties like contacts or attributes for describe car/computer/etc.

Text-Glided-Diffusion Installation First clone this repository: git clone https://github.com/afiaka87/text-glided-diffusion.git cd text-glided-diffusi

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.

ICE Tokenizer Token id [0, 20000) are image tokens. Token id [20000, 20100) are common tokens, mainly punctuations. E.g., icetk[20000] == 'unk', ice