Search Results for "image analysis algorithm" - Page 9
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Showing 655 open source projects for "image analysis algorithm"
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Anime4kSharp
Anime4K implemented in C#
...Each phase takes a input image and renders it to a output image. This makes it easy to port the algorithm (back) to GLSL fragment shaders. As bloc97 described in his pseudo-preprint, the Anime4K algorithm is actually quite simple. -
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face-api.js
JavaScript API for face detection and face recognition in the browser
...High-level chained methods let developers combine detection and analysis tasks in a compact workflow. Browser applications can draw boxes, labels, landmarks, and results on overlay canvases. Node.js support is available through image and canvas polyfills, with native TensorFlow bindings recommended for faster processing. -
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QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
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TauFactor
MatLab App for calculating the tortuosity factor of microstructure
Please contact the author at sjc08@ic.ac.uk for any questions or if you wish to cite this application in a academic study. Journal paper available here: http://www.sciencedirect.com/science/article/pii/S2352711016300280 TauFactor is a MatLab application for efficiently calculating the tortuosity factor, as well as volume fractions, surface areas and triple phase boundary densities, from image based microstructural data. The tortuosity factor quantifies the apparent decrease in... -
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jieba
Stuttering Chinese word segmentation
"Jaba" Chinese word segmentation, do the best Python Chinese word segmentation component. Four word segmentation modes are supported. Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable... -
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LaTeX Reference Card Creator
A Makefile based build system for creating LaTeX reference cards
LaTeX Reference Card Creator is a Makefile based build system for creating reference cards. LaTeX Reference Card Creator compiles content into PDF, DjVu, TEX DVI, HTML and PostScript output formats. A three column reference card will be created. Features include batch image format conversions, spell checking, broken link checking, automatic backups and .zip and .tar.gz distribution building. LaTeX Reference Card Creator provides many LaTeX examples which can be used to make a reference card. -
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Zopfli
Zopfli Compression Algorithm is a compression library
Zopfli is a compression library and command-line tool that produces exceptionally small DEFLATE, zlib, and gzip streams by spending more CPU time to search for better encodings. It keeps strict compatibility with the ubiquitous DEFLATE format, so outputs can be decompressed by any standard tool or browser. The encoder performs exhaustive block splitting and greedy but thorough match searching to shave extra bytes off assets, which is ideal for web content and firmware where size matters more... -
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NiftyNet
An open-source convolutional neural networks platform for research
An open-source convolutional neural networks platform for medical image analysis and image-guided therapy. NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can get started with established pre-trained networks using built-in tools. ... -
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AwesomeBump
Open Source graphic tool and alternative to Insane Bump
AwesomeBump is a free and open source graphic app written using Qt library. It was made as an alternative to known gimp plugin Insane Bump or the commercial tool Crazy Bump. It is designed to generate normal, height, specular or ambient occlusion, metallic, roughness and other textures from a single image. Most of the image processing is done on GPU so the program runs very fast and all the parameters can be changed in real time. -
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Fav-up
Look up IP addresses using favicon hashes via Shodan
...To support larger investigations, the tool can iterate over lists of URLs, domains, or favicon files in bulk. Results can be printed to the console or exported into structured formats such as CSV or JSON for further analysis and reporting. -
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DSeg software
A MATLAB program to segment filamentous bacteria and hyphae structures
The analysis of microscopy image has been the basis to our current understanding of the cellular growth and morphogenesis. The quantitative evaluation of morphological changes in the biological processes is therefore important to characterize cell structures. Here we present an image analysis tool DSeg to overcome the difficulties in finding complicated elongated cell shapes by using time-lapse data and cell morphological constraints. -
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AUXPI
A new generation of image beds that integrates multiple APIs
Support drag and drop to sort and switch the menu on the home page. Image links are distributed asynchronously by weight. There are several visual charts on the home page for easy analysis. If you are a blank vps, you can directly use a one-click script to install, the installation tutorial. Please note that the photo identification has been turned on at present, and the level is high. If you try the program, please try to upload the landscape picture, otherwise, it may not be able to upload. ... -
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Objective Function Analysis
An alternative to neural nets for machine learning.
Objective Function Analysis models knowledge as a multi-dimensional probability density function (MD-PDF) of the perceptions and responses (which are themselves perceptions) of an entity and an objective function (OF). The learning algorithm is the action of choosing a response, given the perceptions, which maximizes the objective function. The MD-PDF is initially seeded by a uniform random number generator. -
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IQM
Scientific Image and Signal Analysis in Java
IQM has moved to GitHub -
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spark-ml-source-analysis
Spark ml algorithm principle analysis and specific source code
spark-ml-source-analysis is a technical repository that analyzes the internal implementation of machine learning algorithms within Apache Spark’s MLlib library. The project aims to help developers and data scientists understand how distributed machine learning algorithms are implemented and optimized inside the Spark ecosystem. Instead of providing a runnable software system, the repository focuses on explaining algorithm principles and examining the underlying source code used in Spark’s machine learning package. ... -
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Polacode
Polaroid for your code
Use polacode.target, polacode.shadow, polacode.transparentBackground and polacode.backgroundColor to control image appearance. You have spent countless hours finding the perfect JavaScript grammar, matching it with a sleek-looking VS Code theme, trying out all the best programming fonts. You take three days porting over your theme before starting to use VS Code. You shell out $200 for italic cursive html attributes. The code has to look right. -
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Batch PIE
A batch pipelined image editor
Current filter functionality: - Simple editing options: Image cropping, resizing, rotation, Color brightness curve alignment - Histobram processing: Convolution, statistics (e. g. f_max or median analysis) - Image segmentation: The actual segmentation process as well as group weight calculation for further filtering (both functions rely on self defined custom dynamic mathematical functions) - Dynamic mathematical functions for custom and automated image filtering: General mathematical operations, using image or matrix as f(x, y), export f(x, y) as image or matrix, mapping variables on other ones and of course boolean operation for case sensitivity - A flexible variables model of dynamic mathematical function that sets no restriction on particular variables count - Sub project support for an organized total process targeting to save time using previously created editing routines instead of redoing steps each time -
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Active Learning
Framework and examples for active learning with machine learning model
Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. The main... -
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easy12306
Automatic recognition of 12306 verification code
Automatic recognition of 12306 verification code using machine learning algorithm. Identify never-before-seen pictures. -
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MORPHEUS for Fiji
A tool for unbiased and reproducible cell morphometry in Fiji/ImageJ2
...Specifically, MORPHEUS works with sampling distributions to learn—in an unsupervised manner and by a non-parametric approach—how to recognize the cells suitable for subsequent analysis. Afterwards, the algorithm performs the evaluation of the most relevant cell-shape descriptors over the full set of detected cells. Optionally, also the extraction of nucleus features and a double-scale analysis of orientation can be performed. The whole algorithm is implemented as a one-click procedure, thus minimizing the user intervention and the ensuing biases and errors of human origin. ... -
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LaueTools
open source python packages for X-ray MicroLaue Diffraction analysis
LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools -
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Deep Learning for Medical Applications
Deep Learning Papers on Medical Image Analysis
Deep-Learning-for-Medical-Applications is a repository that compiles deep learning methods, code implementations, and examples applied to medical imaging and healthcare data. The project addresses domain-specific challenges like segmentation, classification, detection, and multimodal data (e.g. MRI, CT, X-ray) using state-of-the-art architectures (e.g. U-Net, ResNet, GAN variants) tailored to medical constraints (small datasets, annotation costs, class imbalance). It includes Jupyter... -
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awesome-ci
Awesome Continuous Integration
awesome-ci is a suite of command-line tools aimed at enhancing Continuous Integration (CI) workflows. It focuses on static code analysis, syntax checking, and file validation to maintain code quality across projects. -
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SIVIC is an open-source, standards-based software framework and application suite for processing and visualization of DICOM MR Spectroscopy data. Through the use of DICOM, SIVIC aims to facilitate the application of MRS in medical imaging studies.
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Calyp
Calyp is an open-source raw video player for image/video analysis
Calyp is an open-source raw video player developed using the C++ Qt libraries. This is the new version of the playuver. New name new features coming. For Ubuntu and Debian based distributions use our Personal Package Archive (PPA): ppa:pixlra/ppa