Open Source Python Image Processing Software - Page 2
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Python Image Processing Software
View 4877 business solutionsBrowse free open source Python Image Processing Software and projects below. Use the toggles on the left to filter open source Python Image Processing Software by OS, license, language, programming language, and project status.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Exposure
Learning infinite-resolution image processing with GAN and RL
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model. ACM Transactions on Graphics (presented at SIGGRAPH 2018) Exposure is originally designed for RAW photos, which assumes 12+ bit color depth and linear "RGB" color space (or whatever we get after demosaicing). jpg and png images typically have only 8-bit color depth (except 16-bit pngs) and the lack of information (dynamic range/activation resolution) may lead to suboptimal results such as posterization. Moreover, jpg and most pngs assume an sRGB color space, which contains a roughly 1/2.2 Gamma correction, making the data distribution different from training images (which are linear). Exposure is just a prototype (proof-of-concept) of our latest research, and there are definitely a lot of engineering efforts required to make it suitable for a real product. -
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Gimp Gradient Extrapolate
fill a selection according to neighboring gradient area
Gimp Gradient Extrapolate is a plugin for Gimp 2.8. It fills gaps or removes objects, both of which are surrounded by a gradient like smooth image structure (e.g. sky). Refer to the wiki to see how to use it. Note, since this plug-in is written in python and involves optimization problems and non-filter operations, this script's runtime can be rather long, depending on the size of your image selection. Consider donating to this project: https://sourceforge.net/projects/gimp-g-e/donate -
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Imaging Instruments Lite
Image processing App for Windows Desktop
Imaging Instruments lite is a comprehensive image processing application developed following the Model-View-Controller (MVC) design pattern, utilizing Python, Tkinter, and OpenCV. It provides users with image manipulation capabilities, leveraging multi-threading with OpenMP and GPU acceleration using CUDA-C. Fueled by yerba mate and a passion for coding. Created by Agustin Tortolero. website: https://agustintortolero.pythonanywhere.com/ Source code: https://github.com/agustinTortolero/Imaging-Instruments-lite -
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Lightningbeam
IDE for creating interactive Flash and HTML5 content
Lightningbeam is a free, open-source alternative to Adobe Flash. It is written in Python, and uses PyGUI for a GUI, swfc for compiling, and Cairo for image processing. It has the ability to export to HTML5 as well as .swf, allowing for viewing on non-Flash-compatible devices (such as the iPhone or the Kindle), and can pack all resources into a single HTML file for portability. Lightningbeam supports ActionScript, allowing for interactive content creation. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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MIPPY
Modular Image Processing in Python
MIPPY is a minimalistic DICOM image browser with built-in image processing modules. Its modular design means it can be extended with any number of user-created modules for image processing and analysis. -
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MIVF - Medical Imaging and Visualization Factory, is a framework for medical applications. It supplies a platform, in which image processing and 3D visualization algorithms can be employed as reusable components (functional modules or plugins).
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MMDeploy
OpenMMLab Model Deployment Framework
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN frameworks. Please read getting_started for the basic usage of MMDeploy. -
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XMIPP is an image processing suite for 3D-reconstruction of biological specimens from transmission electron microscopy data. NOTE that stable releases (including binaries) are longer stored at Sourceforge, but are available at http://xmipp.cnb.csic.es
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Written in Python and the Numeric package. It supports the examples of the book: Dougherty and Lotufo, Hands-on Morphological Image Proc., SPIE, 2003, ISSN=0-8194-4720-X. This toolbox has been continued at www.adessowiki.org under name ia870.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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NEtCAT NanoSurface Analyzer
NanoSurface Analyzertool is designed for the STM image analysis
NanoSurface Analyzer tool is designed for the analysis and measurement of surface data at the nanoscale. This application is developed to support researchers working with surface data by providing tools for reading, processing, and analyzing data. -
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Pink is an image processing library developed at ESIEE Engineering for research and teaching purposes. It contains implementations of over 200 algorithms for image segmentation and filtering.
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PyExe:YT thumbnail downloader (b) [ISA]
PyExe: YouTube thumbnail downloader (type-b) [I.S.A]
PyExe: YouTube thumbnail downloader (type-b) [Improved.Simplified.Alternative] Download YouTube video thumbnails. Compatible only for windows OS. -
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Surface Defect Detection Dataset Papers
Constantly summarizing open source dataset and critical papers
At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery manufacturing, semiconductors and electronics, chemical, pharmaceutical, aerospace, light industry and other industries. Traditional surface defect detection methods based on machine vision often use conventional image processing algorithms or artificially designed features plus classifiers. Generally speaking, imaging schemes are usually designed by using the different properties of the inspected surface or defects. A reasonable imaging scheme helps to obtain images with uniform illumination and clearly reflect the surface defects of the object. In recent years, many defect detection methods based on deep learning have also been widely used in various industrial scenarios. -
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Training Image Operators from Samples
Tools to train Image Operators automatically from a set of samples.
TRIOS - Training Image Operators from Samples is a set of tools to bring Image Processing closer to scientists in general. It is capable of estimating an operator between two images using only pairs of samples that contain an input image and the desired output. The operator is saved to a file and can be applied to any image. -
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UIMP(Unified Image Manipulation Program) is an OS independent Image Processing system, which provides over 1000 algorithms and supports web online, console and GUI program.
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VIPS is an image processing suite designed for extremely large images and colorimetry. It consists of a powerful re-usable library and a graphical user interface. http://www.vips.ecs.soton.ac.uk
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allink
Software for data analysis, image processing, simulations, solver.
Collection of utilities based on two basics classes: Matematica and VarData. Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing... VarData) manipulate a structure of points connected by links. Addraw) openGL engine. ElPoly) analyze mechanical properties of polymer and membrane like structures. Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE. Avvis) perform all the operation of Matematica on different sets of data visualized on a Qt graphical interface. DrImage) image manipulation on the Matematica filters. The program is intended to use as less as possible external libs (optional: openGL, gsl, fftw, cgal, png, tiff, boost, MPI, Qt...). -
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Composight is a cross-platform toolkit for 3D-image processing in the domain of composite materials science. It is written in C++ and provides small, problem-specific applications for viewing, filtering and segmentation of volumetric data such as micro-CT scans. The main objective is not to provide yet another complex application for volume data visualization and medical image processing. Instead, Composight is a collection of small and simple apps that have already been successfully used to solve various problems in materials science.
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Fulguro is an optimized 2D library for image processing with Mathematical Morphology and Linear processing
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info. -
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GLEWpy aims to bring advanced OpenGL extensions to Python. This allows the Python OpenGL developer to use features such as fragment/vertex shaders and image processing on the GPU. It serves as a compliment to PyOpenGL and toolkits such as GLUT and SDL.
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golib
C++ collection mostly for image processing
libGo is a C++ class library containing all kinds of things that proved useful to me. Included are: - Linear algebra, using LAPACK and CBLAS - V4L(1) image grabber - Multithreading - Image containers (up to 3D) - Some simple optimisation code - Python embedding helper - Matlab interface - .. and other things, have a look at the HTML documentation! golib grew over many years, things I had use for have been added now and then. Some parts are better taken care of than others. If you find anything spectacularly wrong or badly documented, and need assistance, please drop me a line. -
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openSkyMatch
Matches OpenScience Observatories images with astronomical catalogs
openSkyMatch is a collection of Linux shell and Python scripts designed for the OpenScience Observatories program. It automates the identification and matching of detected celestial objects in locally captured FITS images with entries in large-scale sky catalogs, notably Pan-STARRS1 DR2 (II/389/ps1_dr2). The toolkit supports data preprocessing, coordinate correlation, and catalog-based validation of astronomical detections. All tools are open-source and optimized for reproducibility and transparency in citizen science astronomy. -
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