Search Results for "image algorithm" - Page 2
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Showing 148 open source projects for "image algorithm"
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miRDeep*
MiRDeep*
Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction. -
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QPoisson
Implement Poisson blending algorithm in a simple photo editor with Qt
QPoisson is not only an image editor for implementing conventional image transformations such as mirroring, rotation, inversion, grayscale, etc., but also a carrier for implementing Poisson fusion algorithms. It seamlessly stitches segments from one image into another, larger image. -
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APIRL
Library and command line tools for Tomographic Image Reconstruction
APIRL (AR-PET Image Reconstruction Library) is a library with command line tools for tomographic image reconstruction in emission tomography. It was developed to provide an image reconstruction algorithm for the AR-PET (Argentine Positron Emission Tomography), a low cost PET scanner. The implemented algorithms are based on the well known iterative algorithms MLEM and OSEM. In addition, provides an image reconstruction algorithm for a tomographic gamma scanner for non-destructive assay... -
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Crypt Tool
A simple password manager for Windows based on OpenSSL
A simple password manager for Windows based on OpenSSL (included). Allow encryption, decryption of messages, passwords, files and images with AES 256 CBC algorithm. Integrated FTP(S) client. Console based commands, random password generator. Stand alone application need no installer, runable from USB sticks. Working with Windows 7-11 (OpenSSL 1.1.1s 32 Bit) Read Wiki for more details. -
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iElectrodes
intracranial electrodes localization toolbox
iElectrodes is a free and open-source Matlab® toolbox to obtain intracranial electrode coordinates from MRI and CT images. Precise and reliable localization can be achieved fast and in a semiautomatic way with minimal user intervention. The toolbox works with ECoG (subdural grids and strips) and SEEG (depth) electrodes. The new GridFit algorithm can precisely localize high-density electrodes (up to 3mm). Brain parcellations (atlas) and surfaces can be imported to aid 2D and 3D visualization... -
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unwarp
Increase image resolution by eliminating atmospheric distortion
... images are then averaged into a single output, with automatic outlier elimination for cleaner results. Unwarp is equally effective for telephoto image series of terrestrial objects affected by heat shimmer or atmospheric distortion. Unwarp supports common image formats and provides an intuitive interface for both beginners and advanced users. The project is currently in early development, with active work on improving algorithm performance and expanding feature sets. -
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photoStacker
Aligns and stacks astronomical images using point-set registration.
PhotoStacker aligns and stacks astronomical night sky images using Coherent Point Drift (CPD) for precise star alignment. This project leverages external tools like SExtractor for source extraction and OpenCV ORB for feature detection and matching. It includes custom binaries for detection, registration, and transformation, ensuring accurate image alignment. The workflow script automates the process, making it easy to stack images for enhanced astronomical photography. The project is ideal... -
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FractalImageCompression
Java Fractal Image Compression based on Delaunay triangulation
Implementation of the algorithm of the paper: "Fractal image compression based on Delaunay triangulation and vector quantization" It is a Fractal compression algorithm, based on relationships between regions of the image (in this case triangles), rather than in explicitly the pixel values themselves. Video demo: https://frojasg1.com:8443/resource_counter/resourceCounter?operation=countAndForward&url=https%3A%2F%2Ffrojasg1.com%2Fdemos%2Faplicaciones%2FfractalCompressor... -
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LittleFancyTool
supports RS232/485/Modbus, sockets, text enc/dec (multi-alg) and so on
This small tool, built with WinForm and Ant Design UI, supports RS232, RS485, and Modbus serial communication debugging, socket communication capabilities, multi-algorithm text encryption/decryption, image/text Base64 conversion, and asynchronous multi-threaded file encryption/decryption. -
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Batch Auto Upscale Images xBRZ
Auto Upscale All Images Using xBRZ 234x
This tool allows you to easily upscale all your PNG, JPG and GIF images en masse, such as pixel art or AI-generated art, using the open source, amazing, best-in-class, hyperfast non-AI xBRZ algorithm. Unlike the original xBRZ preview program which could only do one image at a time, the new .bat script allows you to mass upscale ALL your images in bulk without needing to fumble with unintuitive commandline nonsense! Perfect for the layperson artist. This is NOT a creative AI upscale type... -
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pwwAutoVision
Non-standard automated vision software
The only software that integrates vision and motion, as well as interfaces and reports, is developed with zero code and comes with online debugging. Link：https://pan.baidu.com/s/1vsTptn_pvtbK2sDhWVCZJg code：1234 -
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gendasm
Generic Code-Seeking Diassembler with Fuzzy-Function Analyzer
GenDasm is a Generic Code-Seeking Diassembler engine. It allows you to enter known starting vectors for a given code image for the micro. It will disassemble the code and follow through branches to assist in the separation of code and data. Its included Fuzzy Function Analyzer companion uses a DNA Sequence Alignment Algorithm to locate similar code in multiple binaries to facilitate reverse-engineering and/or code recovery. The original purpose of the Fuzzy Function Analyzer was to assist... -
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imgp
Multi-core image resizer and rotator. Go crunch 'em!
imgp is a command line image resizer and rotator for JPEG and PNG images. If you have tons of images you want to resize adaptively to a screen resolution or rotate by an angle using a single command, imgp is the utility for you. It can save a lot on storage too. Powered by multiprocessing, an intelligent adaptive algorithm, recursive operations, shell completion scripts, EXIF preservation (and more), imgp is a very flexible utility with well-documented easy to use options. imgp intends... -
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GFPGAN
GFPGAN aims at developing Practical Algorithms
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration. Colab Demo for GFPGAN; (Another Colab Demo for the original paper model) Online demo: Huggingface (return only the cropped face) Online demo: Replicate.ai (may need to sign in, return the whole image). Online demo: Baseten.co (backed by GPU, returns the whole image). We provide a clean version of GFPGAN, which can run without CUDA extensions. So that it can run in Windows or on CPU mode. GFPGAN aims at developing... -
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dupeGuru
Find duplicate files
dupeGuru is a cross-platform GUI application written in Python (with Qt/Cocoa UI) that quickly detects duplicate files on your computer using flexible scanning modes—including filename fuzzy matching, content comparison, and specialized Music/Picture modes. On some linux systems pyrcc5 is not put on the path when installing python3-pyqt5, this will cause some issues with the resource files (and icons). These systems should have a respective pyqt5-dev-tools package, which should also be... -
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Crunch
Insane(ly slow but wicked good) PNG image optimization
Crunch is an image compression tool for lossy PNG image file optimization. Using a combination of selective bit depth, color palette reduction and color type, as well as zopfli DEFLATE compression algorithm encoding that employs the pngquant and zopflipng PNG optimization tools, Crunch is effectively able to optimize and compress images with minimal decrease in image quality. While it may produce file size gains larger than those produced by lossless approaches, the impact on image quality... -
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Crunch PNG
Insane(ly slow but wicked good) PNG image optimization
Crunch is a tool for lossy PNG image file optimization. It combines selective bit depth, color type, and color palette reduction with zopfli DEFLATE compression algorithm encoding using the pngquant and zopflipng PNG optimization tools. This approach leads to a significant file size gain relative to lossless approaches at the expense of a relatively modest decrease in image quality. Continuous benchmark testing is available in our GitHub Actions CI. Please see the benchmarks directory... -
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smartcrop.js
Content aware image cropping
Image cropping is a common task in many web applications. Usually just cutting out the center of the image works out ok. It's often a compromise and sometimes it fails miserably. Smartcrop.js is the result of my experiments with content aware image cropping. It uses fairly simple image processing and a few rules to attempt to create better crops of images. This library is still in it's infancy but the early results look promising. So true to the open source mantra of release early, release... -
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qiji-font
Typeface from Ming Dynasty woodblock printed books
... replaceable by an automatic corner-detection algorithm). Generate a low-poly mask for each character on the grid, and save the thumbnails (using OpenCV). First, red channel is subtracted from the grayscale, in order to clean the annotations printed in red ink. Next, the image is thresholded and fed into the contour-tracing algorithm. A metric is then used to discard shapes that are unlikely to be part of the character in interest. -
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Upscale
This program is upscaling any image by a factor 2 using an algorithm
This program is upscaling any image by a factor 2 using an algorithm of cubic interpolation. You may need to install the following libraries to run the program, tqdm, itertools, and OpenCV. -
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gml4gtk
small console GML or graphviz DOT graph viewer
directed graph layout program for GML (Graph-Markup-Language) graph or partial graphviz DOT graph -
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BerryNet
Deep learning gateway on Raspberry Pi and other edge devices
This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events... -
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Pokerbot: Pokerstars Partypoker GGPoker
Self playing pokerbot for partypoker, pokerstars and GGPoker
Please visit the wiki page for documentation how to run the bot http://www.github.com/dickreuter/Poker/ This pokerbot plays automatically on Partypoker, Pokerstars and GGPoker. It works with image recognition, montecarlo simulation and a basic genetic algorithm. The mouse is moved automatically and the bot can play for hours. All open source and you are welcome to contribute. New tables can easily be mapped with a new user interface. -
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CNN Explainer
Learning Convolutional Neural Networks with Interactive Visualization
In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own... -
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Computer Vision Pretrained Models
A collection of computer vision pre-trained models
A pre-trained model is a model created by someone else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, we can use the model trained on other problem as a starting point. A pre-trained model may not be 100% accurate in your application. For example, if you want to build a self-learning car. You can spend years building a decent image recognition algorithm from scratch or you can take the inception model (a pre-trained model) from Google which...
