Search Results for "directshow image processing" - Page 6
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Showing 169 open source projects for "directshow image processing"
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ARK AR Sticker Generator
ARK is an AR Sticker Generator
In Augmented Reality Development we often need high quality markers for image targets compatible with accurate detection. ARK is an AR sticker generator made using various image processing libraries & scientific tools. It creates a colorful sticker similar to a QR code with each sticker being completely unique from other. It also allows to add an image overlay for branding or other stuff. Generated stickers can be found in Output folder. -
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mzitu
Python crawler that downloads image galleries and analyzes titles
mzitu is a Python-based web crawling project designed to automatically download and organize image galleries from a specific photography site. It demonstrates how to build a scraper that navigates gallery pages, retrieves image links, and saves the images locally in a structured directory layout. It focuses on automating the collection of large sets of images by programmatically parsing page content and iterating through gallery entries. mzitu also includes a simple analysis script that processes downloaded folder names to generate statistics and visualizations. ... -
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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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FastPhotoStyle
Style transfer, deep learning, feature transform
...It is computationally efficient due to its closed-form solution, allowing fast processing compared to iterative optimization-based methods. The framework is particularly useful in applications such as photo editing, film post-processing, and dataset augmentation where realism is critical. By preserving structural details and avoiding distortions, it produces results that are visually consistent with natural images. -
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...SciPy is package of tools for science and engineering for Python. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.
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Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4. -
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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.
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FFmpeg Docker image
Docker build for FFmpeg on Ubuntu / Alpine / Centos / Scratch
FFmpeg Docker image is a collection of Docker images that provide prebuilt FFmpeg environments for media processing, encoding, and streaming tasks. The project compiles FFmpeg from source and packages it with various configurations and dependencies, enabling users to run FFmpeg without installing it directly on their systems. It supports multiple base operating systems such as Ubuntu, Alpine, and CentOS, offering flexibility depending on deployment needs. -
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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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Neural Enhance
Super Resolution for images using deep learning
...Users can also train custom networks with perceptual and adversarial approaches for specialized datasets. The command-line tool supports batch processing, CPU or NVIDIA GPU execution, and Docker-based deployment for easier setup. -
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PyCNN
Image Processing with Cellular Neural Networks in Python
Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. -
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NeuralTalk2
Efficient Image Captioning code in Torch, runs on GPU
NeuralTalk2 is a Torch-based image-captioning system that generates natural-language descriptions for images with neural networks. It improves on the original NeuralTalk implementation through batching, GPU acceleration, and a more efficient training pipeline. The model combines convolutional neural network image features with a recurrent neural network language model. It supports fine-tuning the underlying CNN instead of relying only on fixed visual features. Training and evaluation tools... -
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MangaPark-DL
A Python script to download mangas from MangaPark
MangaPark-DL is a Python command-line script designed to download manga chapters from MangaPark and convert them into PDF files for convenient offline reading. The tool allows users to specify individual chapters or ranges, automating the retrieval of images and their conversion into a single document format. It is particularly useful for mobile users who prefer reading manga in PDF form rather than browsing online chapter pages. The script includes options for resizing images to reduce file... -
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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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BioImageXD - free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources.
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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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scipion-xmipp
Image processing framework to integrate EM software packages.
...Additionally, all steps are tracked and can be reproduced later on. Xmipp is a well-known package in the EM image processing. It is integrated into Scipion and contains the algorithms in the core libraries and command line programs. -
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xmipp
Image processing suite for Electron Microscopy
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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Importer library to import assets from different common 3D file formats such as Collada, Blend, Obj, X, 3DS, LWO, MD5, MD2, MD3, MDL, MS3D and a lot of other formats. The data is stored in an own in-memory data-format, which can be easily processed. www.open3mod.com/ is a 3D model viewer and exporter based on Assimp that is also Open Source.
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OpenCMISS-Zinc
A Library for Interactive Modelling and Visualisation
...Models are represented in Zinc as mathematical fields defined over domains, including finite elements with support for high-order basis functions, complex parameter mappings and time variation, and image-based fields. Further fields can be defined by mathematical expressions and algorithms on existing fields, including image processing filters. Zinc model data structures are dynamic, supporting interactive applications which programmatically create, destroy and modify parts of models. -
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"aura" tool is a desktop (X root window) background setter, making heavy accent on image processing and clever scaling (liquid rescale, solid margins cropping, labelling) capabilities.
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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. ... -
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GTKRawGallery is a workflow oriented photo retouching software for camera raw image development. It is also a versatile photo manager for popular image formats.
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crosscenter
Program to compute cross center
Assisted program to compute the center of a cross in an image. It is based in python and opencv. Main target is massive data processing. Developed for my Ph.D. -
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Fulguro is an optimized 2D library for image processing with Mathematical Morphology and Linear processing
