Search Results for "image analysis algorithm" - Page 8
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Showing 655 open source projects for "image analysis algorithm"
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GUI-lite
The smallest header-only GUI library(4 KLOC) for all platforms
The smallest header-only GUI library (4 KLOC) for all platforms. Cloud + IoT Solution: master your IoT business all over the world. Multi-language supports UTF-8; Playback Video. Toolkit for building font/image resources. Code Telemetry and Analysis in real-time (remove .sh/.bat files if dislike sharing). Even a C beginner could master GUI-lite quickly. The source code only uses basic C++ features (class, virtual function). We chose C++ as it could make the code size significantly smaller and easier to read. Work smoothly with 3rd party frameworks(Qt/MFC/Winform/Cocoa/Web). ... -
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mapska
The Murder Accountability Project's Serial Killer Algorithm
A much improved Linux/Perl implementation of the Murder Accountability Project's Serial Killer Algorithm. This module was tested with the "SHR76_19.csv" available from www.murderdata.org/p/data-docs.html. This module provides functions to prepare the data, upload to a database and view the identified clusters. Download SHR76_19.csv (23/03/2021) - https://www.dropbox.com/s/ye37woe6et05qgs/SHR76_19.csv.zip?dl=1 For information on this algorithm and the Murder Accountability Project... -
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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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Soma-direct
System Omnichannel Marketing Analysis
Soma - System Omnichannel Marketing Analysis is an open-source solution for simplifying the processes of analyzing and predicting consumer behavior. With Soma, you can combine data from multiple systems and channels in the profile joining process. Interactions and behaviors registered as a part of a unique user create and show what a Customer Journey looks like. The data is subjected to an analysis process which enables the examination of the significance of individual touchpoints for the... -
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ModST
A tool to search post-translational modifications in a blind mode
ModST (pronounced as modest) is a tool to search post-translational modifications (PTMs) in mass spectrometry data in an unrestrictive manner. It can search for hundreds of modification without any user provided information for variable modifications. Due to data level parallelization implemented through perl it is fast, portable and easy to use to identify and analyse PTMs in MS/MS data. -
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muditulib
a multi-dimensional tuning library
Muditulib, a multidimensional tuning library, is a library to be implemented (wholly or partly) in music production software. It consists of a core of C functions. Additionally, a Pure Data implementation is provided. This implementation consist of several classes to be used as a modular system. The library makes use of a multidimensional numerical pitch representation system, a variant of the very well-known one-dimensional MIDI note system. Ambitions for other implementations are very... -
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OpenPose
Real-time multi-person keypoint detection library for body, face, etc.
OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. It is authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh. It is maintained by Ginés Hidalgo and Yaadhav Raaj. OpenPose would not be possible without the CMU Panoptic Studio dataset. We would also like to thank all the people who has helped OpenPose in any way. 15, 18 or... -
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Zipline
Zipline, a Pythonic algorithmic trading library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python... -
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Helpdezk
HelpDEZk is a powerfull software that manages requests/incidents.
HelpDEZk is a powerfull software that manages requests/incidents. It has all the needed requirements to an efficient workflow management of all processes involved in service execution. This control is done for internal demands and also for outsourced services. HelpDEZk can be used at any company’s area, serving as an support to the shared service center concept, beyond the ability to log all the processes and maintain the request’s history, it can pass it through many approval... -
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LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...
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Geophysical Library is a C++-library to handle geophysical data. At the moment the focus is on magnetotelluric and seismic data. It also includes a genetic algorithm for data inversion, signal processing and statistics routines.
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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 learnable weights and biases. ... -
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Frontend Regression Validator (FRED)
Visual regression tool used to compare baseline and updated instances
...FRED is responsible for automatic visual regression testing, with the purpose of ensuring that functionality is not broken by comparing a current(baseline) and an updated version of a website. The visual analysis computes the Normalized Mean Squared error and the Structural Similarity Index on the screenshots of the baseline and updated sites, while the visual AI looks at layout and content changes independently by applying image segmentation Machine Learning techniques to recognize high-level text and image visual structures. This reduces the impact of dynamic content yielding false positives. ... -
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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. -
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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. ... -
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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. ... -
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CAELinux
Dedicated to computer-aided engineering Linux distribution
CAELinux is an installable live (USB) Linux distribution dedicated to open source engineering with a focus on Computer Aided Engineering and Scientific Computing. Based on Ubuntu, it features a ready to use workstation environment for open source product development, makers and scientist with many CAD/CAM/CAE applications for mechanical design, stress analysis, heat transfer, flow simulation and CNC manufacturing / 3D printing as well as electronic design tools and a complete development... -
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COHCAP
City of Hope CpG Island Analysis Pipeline
COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through GitHub. 2) In addition to the original NAR paper, please see the following links: Benchmarks: http://www.nature.com/protocolexchange/protocols/2965#/introduction Protocol Exchange Files: http://sourceforge.net/projects/cohcap/files/Protocol_Exchange_Example.zip 3) Custom Annotation Files (including EPIC Array): https://sourceforge.net/projects/cohcap/files/additional_Bioconductor_annotations.zip/download -
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Rainflow
Fast rainflow counting written in C (C99)
Rainflow Counting Algorithm (4-point-method), C99 compliant. "Rainflow Counting" consists of four main steps: 1. Hysteresis Filtering 2. Peak-Valley Filtering 3. Discretization 4. Four Point Counting Method: These steps are fully documented in standards such as ASTM E1049 "Standard Practices for Cycle Counting in Fatigue Analysis" [1]. -
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opencv4nodejs
Nodejs bindings to OpenCV 3 and OpenCV 4
OpenCV4NodeJS is a Node.js binding for OpenCV, allowing developers to integrate computer vision capabilities directly into JavaScript applications for image processing, object detection, and facial recognition. -
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Douyin-Bot
Python TikTok bot
...The project uses Python and ADB to connect desktop-side logic with a mobile device. Its original goal was playful and experimental, focused on browsing and identifying content based on computer vision and face analysis. It is best understood as a demonstration of app automation, screen capture, API-based image analysis, and scripted mobile interaction. Its main value is showing how Python can orchestrate a phone app workflow by combining ADB, screenshots, recognition logic, and automated gestures. -
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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. -
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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... -
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NOVA
Analysis and visualization of complexome profiling data.
...Many additional functions like zooming, searching for proteins, image export, and automatic file format recognition support intuitive handling for biologists. Giese, et al. NOVA: a software to analyze complexome profiling data. Bioinformatics, 2015, 31(3): 440-441 -
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GoogleScraper
Python tool for scraping search engine results from many providers
GoogleScraper is a Python-based tool designed to automatically collect and process search engine results from multiple providers. It enables developers and researchers to programmatically query search engines and extract useful information such as links, titles, and result descriptions. GoogleScraper supports several major search engines and can be used to gather structured datasets from search result pages for further analysis. It provides two different scraping approaches: sending direct...