Python Digital-image-process-Basic-algorithm Resources

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

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 This work was sparked by my personal research on simple segmentation methods based on deep learning. It is

Learning to propose objects This implements the learning and inference/proposal algorithm described in "Learning to Propose Objects, Krähenbühl and Ko

A collection of semantic image segmentation models implemented in TensorFlow. Contains data-loaders for the generic and medical benchmark datasets.

Segmentation Training Pipeline This package is a part of Musket ML framework. Reasons to use Segmentation Pipeline Segmentation Pipeline was developed

Won-Dong Jang and Chang-Su Kim, Interactive Image Segmentation via Backpropagating Refinement Scheme, CVPR 2019

Example-CNN-Project This is a simple project showing how to implement deep neural networks using CNN algorithm. The dataset is taken from this link: h

This repository contains the code for the python introduction lab. The purpose is to have a fairly simple python assignment that introduces the basic

Single Image Super-Resolution (SISR) with SRResNet, EDSR and SRGAN Introduction Image super-resolution (SR) is the process of recovering high-resoluti

Disaster Classificiation using CNNs bunnysaini/Disaster-Classificiation Goal To prepare an image processing model to classify the type of disaster bas

Trace all method entries and exits, the exit also prints the return value, if it is of basic type. The apk must have set the android:debuggable="true" flag.

DTCN This is the implementation of our paper "Sequential Prediction of Social Me

basic-html-scraper Code from YT Video This video includes a complete how to of w

The project's goal is to show a real world application of image segmentation using k means algorithm

Image to Embedding projection in vector space. Implementation in keras and tensorflow of batch all triplet loss for one-shot/few-shot learning.

MasterDuelTranslate(Use Ygo Card DataBase,belong win32 window shot & image match)

Data visualisation Hey, You can learn Basic to advanced level Data visualisation techniques from this Repository. Data visualization is the graphic re

pixel-planet Semi-hash-based Image Generator Utilizable for NFTs Generation Process Input is salted and hashed Colors (background, planet, stars) are

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 Image to Embedding projection in vector space. Implementation in keras and tensorflow for custom data. B

BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python. Some of the algorithms included are mor

Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm

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 This is an open solution to the Airbus Ship Detection Challenge. Our goals We are building entirely open solution to t

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

VampiresVsWerewolves Our Implementation of a MiniMax algorithm with alpha beta pruning in the context of an in-class competition. Our Algorithm finish

A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches

Minecraft - Online Players Overlay Generator Contents About Quick Start Download Pre-Built Binary Run from Source Configuration Command-Line Options F

A Blender addon to quickly view images from image nodes in Blender's image viewer.

Building Shazam from scratch In this repository we tried to implement a simplified copy of the Shazam application able to tell you the name of a song

Django channels basic chat

Image-Captioning-on-google-cloud-platform-based-on-iot - Image Captioning on google cloud platform based on iot

Deep-Learning-Project This Deep Learning Model Predicts that from which disease you are suffering. This Project Covers the Topics of Deep Learning Int

The aim of the mini project is predict whether or not a passenger survived based on attributes such as their age, sex, passenger class, where they embarked and more.

huna-translator The Huna Language Translates basic English sentences into the Huna language (hoo-NAH). The Huna constructed language was developed in

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

Compact Bidirectional Transformer for Image Captioning Requirements Python 3.8 Pytorch 1.6 lmdb h5py tensorboardX Prepare Data Please use git clone --

DPT Official Pytorch implementation of the paper "Detail-Preserving Transformer for Light Field Image Super-Resolution" accepted by AAAI 2022 . Update

Overview This repository hosts the official PyTorch implementation of the paper: "HairCLIP: Design Your Hair by Text and Reference Image". Our single

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 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. 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 (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

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

Wordle Solver A program that solves a Wordle using a simple algorithm. To see it

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)" Unofficial PyTorch Implementation of Progressi

Finetune the base 64 px GLIDE-text2im model from OpenAI on your own image-text dataset

goneDev-browser "basic browser based on PyQt5" This application is primarily built on macOS with more adaptibility for MacOS than Windows. v1.0 will s

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.

Simple_Physics_Engine An ongoing process to make a physics engine using python. I am using this goal as a way to learn python in and out. I am trying

DEGEN TRACKER Read first This is my first Python open source project and it is very likely full of bad practices and security issues. You should not u

PythonPID_Tuner_SOPDT Step 1: Takes a Process Reaction Curve in csv format - assumes data at 100ms interval (column names CV and PV) Step 2: Makes a r

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

Good news! Our new work exhibits state-of-the-art performances on DocUNet benchmark dataset: DocScanner: Robust Document Image Rectification with Prog

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.

Attendance_System An image processing project uses Viola-jones technique to detect faces and then use LPB algorithm for recognition. Face Detection Us

Grover Knights Welcome to my Knights project! Project Description: I explore an implementation of a quantum oracle for knights on a chessboard.

Algo_Visualizer This project is an Algorithm Visualizer where a user can visualize common algorithms like "Bubble Sort", "Merge Sort", "Quick Sort", "

napari-math This package provides a GUI interfrace for simple mathematical operations on image, point and surface layers. addition subtraction multipl

Lets Learn Python 🐍 Learn python from basic programs. learn python from scratch. 1.Online python compiler: https://www.onlinegdb.com/online_python_co

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

What is PngBin? The name PngBin comes from an image format file extension PNG (Portable Network Graphics) and the word Binary. An image produced by Pn

Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN [Paper] [Project Website] [Output resutls] Official Pytorch i

Pytorch Implementation of Augmenting Convolutional networks with attention-based aggregation This is the unofficial PyTorch Implementation of "Augment

Auxiliator Auxiliator is telegram bot for basic web-application analysis What for? Sometimes there is no access to your main PC, where you can scan we

Find Line Detection (Image Processing) Identifying lanes of the road is very common task that human driver performs. It's important to keep the vehicl

Cross-modal Retrieval using Transformer Encoder Reasoning Networks This project reimplements the idea from "Transformer Reasoning Network for Image-Te

This repository contains the implementation for the paper: No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consiste

Image-Fusion-Transformer Platform Python 3.7 Pytorch =1.0 Training Dataset MS-COCO 2014 (T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ram

CLIP2Video: Mastering Video-Text Retrieval via Image CLIP The implementation of paper CLIP2Video: Mastering Video-Text Retrieval via Image CLIP. CLIP2

LA-MCTS The code is based of paper Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search. Component LA-MCTS has thr

Scraping-test-matches-data This is a Web scraping project using BeautifulSoup and Python to scrape basic information of all the Test matches played ti

python-basics A place where the most basic, basic of python coding exists As you can see, there are four folders and the best order to read is: appeti

Pyconvert is a python script that you can use to convert image files to another image format! (eg. PNG to ICO)

TFill arXiv | Project This repository implements the training, testing and editing tools for "Bridging Global Context Interactions for High-Fidelity I

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.

DeepMIH: Deep Invertible Network for Multiple Image Hiding (TPAMI 2022) This repo is the official code for DeepMIH: Deep Invertible Network for Multip

This is a Image aid classification software based on python TK library development.

Node-level Graph Regression with Deep Gaussian Process Models Prerequests our implementation is mainly based on tensorflow 1.x and gpflow 1.x: python

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

pythonPhysics Basic Python physics library. Must have pygame installed. How to: Sketon program is included. for p in env.particles: pygame.draw.circle

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

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

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'

Vietnamese sign lagnuage recognition using MHI and CNN This is a model to classify Vietnamese sign language using Motion history image (MHI) algorithm

Fully Adaptive Bayesian Algorithm for Data Analysis FABADA FABADA is a novel non-parametric noise reduction technique which arise from the point of vi

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 (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

Extrapolating from a Single Image to a Thousand Classes using Distillation by Yuki M. Asano* and Aaqib Saeed* (*Equal Contribution) Extrapolating from

A simple Flask site that allows users to create, update, and delete posts in a database, as well as perform basic NLP tasks on the posts.

FusionNet_Pytorch FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics Requirements Pytorch 0.1.11 Pyt

Fully Connected DenseNets for Semantic Segmentation Fully Connected DenseNet for Image Segmentation implementation of the paper The One Hundred Layers

Matchmaker Algorithmic Multi-Instrumental MIDI Continuation Implementation Taming large-scale MIDI datasets with algorithms This is a WIP so please ch

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

Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Introduction This repository contains the PyTorch implem