Search Results for "image algorithm" - Page 3

Showing 159 open source projects for "image algorithm"

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  • 1
    qiji-font

    qiji-font

    Typeface from Ming Dynasty woodblock printed books

    ...Download high-resolution PDFs and split pages into images. Manually lay a grid on top of each page to generate bounding boxes for characters (potentially 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.
    Downloads: 1 This Week
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  • 2
    Upscale

    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.
    Downloads: 0 This Week
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  • 3
    Pokerbot: Pokerstars Partypoker GGPoker

    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.
    Downloads: 5 This Week
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  • 4
    BerryNet

    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...
    Downloads: 1 This Week
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  • 5

    Gimp Forensics

    Image Forensics with Gimp

    The main goal of this project is to implement image forensics analysis algorithm within Gimp scripts and plugins. Those plugins can be used for practical and educational purpose. Theoretical knowledge about the algorithm is presented in this project wiki whenever possible. The Plugins has been develop in Gimp version 2.10.12
    Downloads: 0 This Week
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  • 6
    CNN Explainer

    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 learnable weights and biases. ...
    Downloads: 0 This Week
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  • 7
    DeepCluster

    DeepCluster

    Deep Clustering for Unsupervised Learning of Visual Features

    DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups.
    Downloads: 0 This Week
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  • 8
    Computer Vision Pretrained Models

    Computer Vision Pretrained Models

    A collection of computer vision pre-trained models

    ...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 was built on ImageNet data to identify images in those pictures. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone. ...
    Downloads: 0 This Week
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  • 9
    Consistent Depth

    Consistent Depth

    We estimate dense, flicker-free, geometrically consistent depth

    Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. ...
    Downloads: 0 This Week
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  • 10
    Primitive Pictures

    Primitive Pictures

    Reproducing images with geometric primitives

    Primitive Pictures is an image processing command-line tool written in Go that reproduces images using geometric primitives (triangles, rectangles, ellipses, polygons, etc.). The core algorithm is iterative and “hill-climbing”: given a target image, it repeatedly finds the best single shape to add that will reduce the error between the current approximation and the target image, then draws that shape.
    Downloads: 0 This Week
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  • 11
    SwiftOCR

    SwiftOCR

    Fast and simple OCR library written in Swift

    SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one-line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X. If you want to recognize normal text like a poem or a news article, go with Tesseract, but if you want to recognize short, alphanumeric codes (e.g. gift cards), I would advise you to choose SwiftOCR because that's where it exceeds. Tesseract is...
    Downloads: 0 This Week
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  • 12
    Anime4kSharp

    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.
    Downloads: 0 This Week
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  • 13
    Zopfli

    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...
    Downloads: 1 This Week
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  • 14

    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.
    Downloads: 0 This Week
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  • 15
    easy12306

    easy12306

    Automatic recognition of 12306 verification code

    Automatic recognition of 12306 verification code using machine learning algorithm. Identify never-before-seen pictures.
    Downloads: 0 This Week
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  • 16
    pyfolio

    pyfolio

    Portfolio and risk analytics in Python

    ...It works well with the Zipline open source backtesting library. At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm. Here's an example of a simple tear sheet analyzing a strategy. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more.
    Downloads: 0 This Week
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  • 17
    Dynamic Routing Between Capsules

    Dynamic Routing Between Capsules

    A PyTorch implementation of the NIPS 2017 paper

    Dynamic Routing Between Capsules is a PyTorch implementation of the Capsule Network architecture originally proposed to address limitations in traditional convolutional neural networks. Capsule networks aim to improve how neural models represent spatial hierarchies and relationships between objects within images. Instead of scalar neuron activations, capsules output vectors that encode both the presence of features and their spatial properties such as orientation or pose. The repository...
    Downloads: 0 This Week
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  • 18
    Packery

    Packery

    Gapless, draggable grid layouts

    Packery is a JavaScript library and jQuery plugin that makes gapless and draggable layouts. It uses a bin-packing algorithm to fill in empty gaps. Packery layouts can be intelligently ordered or organically wild. Elements can be stamped in place, fit in a specific spot, or dragged around. It’s perfect for draggable dashboard and seamless Masonry image galleries. If you want to use Packery to develop commercial sites, themes, projects, and applications, the Commercial license is the appropriate license. ...
    Downloads: 0 This Week
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  • 19
    Fiwix

    Fiwix

    A UNIX-like kernel for the i386 architecture

    FiwixOS 3 is a Fiwix distribution, an operating system made from a software collection that is based upon the Fiwix kernel. It basically comprises a Fiwix kernel, GNU tools, libraries and additional software. All the included software is free and open-source software made available both as compiled binaries and in source code form, which allows modifications to the original software. FiwixOS 3 uses the Newlib v3.1.0 as its C standard library, and the Ext2 as its primary file...
    Downloads: 0 This Week
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  • 20
    Toolbox

    Toolbox

    Piotr's Image & Video Matlab Toolbox

    Piotr’s Image & Video MATLAB Toolbox is a general-purpose MATLAB toolbox for image and video processing and vision tasks, offering utilities, filters, detection, feature extraction, and algorithm building blocks. Example and demo scripts for usage (e.g. acfReadme, detector readmes). It augments MATLAB’s native capabilities (not replacing the Image Processing Toolbox) by providing efficient, reusable wrappers and optimized routines.
    Downloads: 0 This Week
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  • 21
    C API for determining LDrawDir and SearchDirs from settings found in the various combinations of ldraw.ini, LDRAWDIR etc. LDraw programs will then share the same algorithm and thus find parts and primitives consistently.
    Downloads: 0 This Week
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  • 22
    JPIV

    JPIV

    Particle Image Velocimetry

    JPIV is a platform independent, graphical stand-alone application for Particle Image Velocimetry (PIV) written in Java. PIV is an optical technique for measuring fluid flow velocities. JPIV moved to GitHub. Please visit us at: https://eguvep.github.io/jpiv/
    Downloads: 0 This Week
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  • 23
    UmUTracker

    UmUTracker

    A MATLAB program for 2D particle tracking or 3D DHM based tracking.

    We present a versatile and fast MATLAB program (UmUTracker) that automatically detects and tracks particles by analyzing long video sequences acquired by either light microscopy or digital holography microscopy (DHM). Our program finds the 2D particle center position using an isosceles triangle transform and the axial position by a fast implementation of Rayleigh-Sommerfeld numerical reconstruction algorithm using a one dimensional radial intensity profile. *Updates v1.1: 2017/11/21- Bug...
    Downloads: 0 This Week
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  • 24
    Car Number Plate Recognition
    This program takes snapshot of car license number plate and then recognize the text on it. It is based on the very elementary technique of templates matching. The algorithm takes an input image of the number plate (number plate should be dominant in the image) and after filtering the image, it performs region based operations. Then it tries to capture the characters regions in a processed binary image and with the aid of template matching outputs the string of number plate characters.
    Downloads: 0 This Week
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  • 25
    This package includes a collection of MATLAB files which are designed to: 1. Given a calibration scan of the image of a point emitter with an engineered point spread function (PSF), 2. Perform a phase retrieval algorithm based on maximum likelihood estimation (MLE) of a phase aberration term which is added to the theoretical pupil function of the imaging system. 3. Use the phase-retrieved pupil function to perform single-emitter localization.
    Downloads: 1 This Week
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