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2images_relative

This code is based on the collinearity equations of Photogrammetry and it's a solution to the problem of relative orientation of two images. Each measured point in both images corresponds to 4 equations, (x,y) in the left image and (x,y)' in the right image. Besides the 5 parameters of the relative orientation, each point introduces 3 more unknown variables (X,Y,Z).

3dunetcnn

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

abcddataset

adrepository-anomaly-detection-datasets

ADRepository: Real-world anomaly detection datasets

air-quality-analysis

Jupyter notebooks and Python code for analyzing air quality (fine particle, PM2.5)

airbus-ship-detection-web

Flask and python website for a kaggle competition

airplane-detection-for-satellites

Airplanes are detected on images taken from satellite

arosics

AROSICS - Automated and Robust Open-Source Image Co-Registration Software

augmentor

Image augmentation library in Python for machine learning.

aussc

Alternately Updated Convolutional Spectral-Spatial Network for Hyperspectral Image Classification(AUSSC)

autogcp

This is written on python based on arcpy module, acrpy library is a propitiatory library, developed by ERSI.

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

change-detection-in-multitemporal-satellite-images

Build a machine learning model to detect change in Multi-temporal Satellite Images 🌍

change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

change-detection-using-siamese-neural-network-

This repository is about how to make model for change detection using a familiar method like siamese neural network

changeformer

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

coconut-tree-detection

coconut-tree detection model inference using web ui, using flask

concrete-crack-segmentation

A Deep Residual U-Net like architecture for Crack segmentation in concrete structures.

convert-yolo-to-pascalvoc

A python script to convert COCO into Pascal VOC 2012 format

coronet

CoroNet is a Covid-19 detection and diagnosis tool. It scans chest x-rays and clasifies it into normal, pneumonia or covid classes

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

covid-19

Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images

covid-20

COVID-19 model in Keras

covid-net

COVID-Net Open Source Initiative

covid19

Covid-19 and Pneumonia detection from X-ray Images from the paper: https://doi.org/10.1016/j.imu.2020.100360

covid19_pocus_ultrasound

Open source ultrasound (POCUS) data collection initiative for COVID-19.

covidnet-ct

COVID-Net Open Source Initiative - Models for COVID-19 Detection from Chest CT

cs585-project

Deep Learning Project - Kaggle Airbus Ship Detection Challenge

cv-instagram-filters

Python remake of the Gotham instagram filter