69 Components & Libraries
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GalSim is open-source software for simulating images of astronomical objects (stars, galaxies) in a variety of ways. The bulk of the calculations are carried out in C++, and the user interface is in…
LERC is an open-source image or raster format which supports rapid encoding and decoding for any pixel type (not just RGB or Byte). Users set the maximum compression error per pixel while encoding, s…
This program lets you download tons of images from Bing. Please do not download or use any image that violates its copyright terms. or
Also, if you have any issue with terminal support, you may report or check information about it in the discussion linked above. Initialize with a file path: Initialize with a URL: Initialize with a P…
Deep Reinforcement Learning (DRL) agents applied to medical images tensorpack-medical requires: New contributors of any experience level are very welcomed You can clone the latest version of the sour…
To be able to use this library, you need to enable Google Custom Search API, generate API key credentials and set a project: After setting up your Google developers account and project you should hav…
Additionally, it also provides multiple methods for computing land surface emissivity. It is targeted towards supporting research and science workflows in many fields including climate science, earth…
This is an implementation of python script to detect a copy-move manipulation attack on digital image based on Overlapping Blocks. This script is implemented with a modification of two algoritms publ…
This repo provides a working interactive code to use SIFT algorithm for image similarity. I have also presented some of the results. Check them out and let me know if you need something more. Anyone …
A tool that can convert your rgb images to nordtheme palette. We build also a little API hosted on Heroku to give to anyone the change to test it out by theirself. You can find the documentation on t…
This Python package implements blend modes for images. The Blend Modes package is optimized for speed. It takes advantage of vectorization through Numpy. Further speedup can be achieved when implemen…
The important fingerprint minutiae features are the ridge endpoints (a.k.a. Terminations) and Ridge Bifurcations. The feature set for the image consists of the location of Terminations and Bifurcatio…
Best effort anonymization for medical images in Python. These are basic Python based tools for working with medical images and text, specifically for de-identification. The cleaning method used here …
A simple python package for saving images from Bing and Google without using API keys. This package utilizes web browsers to help scrape images found on web searches. This should only be used for edu…
In this project, we extract features namely blood vessels microaneurysms and exudates for the purpose of analysing fundus images to detect signs of retinal tissue damage. The main idea is to use Imag…
In the first phase the elasticsearch backend is checked against the current filesystem state, cleaning up database entries of files that no longer exist. This will speed up queries made later on. Alt…
Install requirements from Terminal: Go grab a cup of coffee while waiting... oh wait, it's already done!
This repository is for simple implementation of 'Bicubic-interpolation for images' (Python3).
If you found this module helpful to your project, please site this repository: Prerequisites: For developing, use: Some notes: Running tests: Note that I have added codes to benchmark every step of t…
We support just a single command: You can specify your image as: You can specify your size as: First, pull our pre-built docker image: Then you can use it like so: You can use this script instead: MI…
In day to day Life, we encounter the poor images clicked from our Camera due to poor focus, a motion of objects in the frame or handshaking motion while capturing the Images. As a smart person(myself…
Rejoice OpenCV users, a lightweight neuroimaging .nii to .png converter that actually works. Now supports both Python3 and Matlab 2017b! For those without Python, Pip or the modules, simply open Term…
To simply return the harmonized data, one can use the following:
Main purpose of this library is to provide helpful functions for processing document images like bank forms, applications, etc. and extract regions where character boxes or tick/check boxes are prese…
This repository contains a non-official implementation of the “Handheld Multi-Frame Super-Resolution algorithm” paper by Wronski et al. (used in the Google Pixel 3 camera), which performs simultaneou…
Identification of plants through plant leaves on the basis of their shape, color and texture features using digital image processing techniques. The following steps were followed for pre-processing t…
Docker images with OpenCV and Python bindings Config build options To build locally
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