This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.

Optical Simulation software

Converts Optical Flow files to images and optionally compiles them to a video. Flow viewer GUI is also available. Check out mockup right from Github Pages:

DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.

Best Illusion of The Year 2019 - First Place Winner

Differentiable optical models as parameterised neural networks in Jax using Zodiax

ESP32 Webradio with access to DLNA media servers

pdfOCR is an iText 7 add-on to recognize and extract text in scanned documents and images. It can also convert them into fully ISO-compliant PDF or PDF/A-3u files that are accessible, searchable, and suitable for archiving

Using ImageMagick to correct perspective distortion in images then measure on the image

pdfOCR is an iText 7 add-on to recognize and extract text in scanned documents and images. It can also convert them into fully ISO-compliant PDF or PDF/A-3u files that are accessible, searchable, and suitable for archiving

Passive optical distributed motion capture system

Arduino library for R30X series optical fingerprint scanners.

A python module for mode calculations in cylindrical and planar fibers.

The 1st VHR SAR-Optical benckmark dataset for detecting earthquake damaged buildings.

A Netbox plugin designed to fully integrate optical network modeling and testing.

Omnidirectional Virtual Visual Acuity (OVVA) is a new user-centric VR clarity metric. OVVA measures and compares the virtual visual acuity of the central, focal area of a VR HMD and environments and their degradation in the noncentral areas.

(Non-official) Python simulation of the paper "All-optical machine learning using diffractive deep neural networks"