211 Components & Libraries
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Mahotas is a library of fast computer vision algorithms (all implemented in C++ for speed) operating over numpy arrays. Python versions 2.7, 3.4+, are supported. Notable algorithms: Mahotas currently…
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Quick Links: Make computers see with SimpleCV, the Open Source Framework for Computer Vision SimpleCV is a framework for Open Source Machine Vision, using OpenCV and the Python programming language. …
In the era of Deep Learning, developing robust machine learning solutions to problems in biomedical imaging requires access to large amounts of annotated training data, objective comparisons of state…
Stb-tester issues commands to the device-under-test in the same way a real user does (typically using an infrared remote control). Stb-tester then checks the behaviour of the device-under-test by ana…
As a side note, as of 2021, I realize that yes... the ignorance of youth made meinflate my statements without realizing it. This project has always been aone-man only project. Now I have more experie…
Go into the examples folder and type: That will build all the examples. If you have a CPU that supports AVX instructions then turn them on like this: Doing so will make some things run faster. Finall…
Install the API client: Then, to authenticate, either: The following example will setup the client and predict concepts on an image from a URL, using the general model The response is a JSON structur…
The library is supported for Python >= 2.7 and Python >= 3.3. The python modules needed in order to use this library. Import module Initialize object General image processing Edge detection Gra…
This repository contains all up-to-date source code for the following book: This book demonstrates how to develop a series of intermediate to advanced projects using OpenCV and Python, rather than te…
To start using the library simply install the latest stable version using pip To run any of the examples simply invoke python on the script Code for applying a Gaussian and mean spatial filter to an …
HistomicsTK can be used in two ways: 1- Run the following: 5- Install C++ build tools. Under Tools > Get Tools and Features ... > Desktop Development with C++, ensure that the first 8 boxes are…
There are options: Below shows how to build the standalone executable on macOS, Linux and Windows.
There are options: A few object categories and images: Below shows how to build the standalone executable on macOS, Linux and Windows.
Origami is an AI-as-a-service that allows researchers to easily convert their deep learning models into an online service that is widely accessible to everyone without the need to setup the infrastru…
Emotion detection game using computer vision. Interactive game that ranks players by their ability to show an emotion (eg, "Show surprise"). Emotion detection is accomplished using an Inception-based…
Here are a number of examples that show how this tool can be used. Display a 3.5 billion pixel single-band image (3.3GB) using only 467KB over a SSH connection. If your bands are located in seperate …
Download each file as needed or to download the entire repository and run each try: This codebase contains the following re-usable exemplar elements: For the SGBM stereo vision and camera calibration…
Temporal Action Proposals for long untrimmed videos. DAPs architecture allows to retrieve segments from long videos where it is likely to find actions with high recall very quickly. Welcome to our re…
Training highly deep CNN layers is so hard. However this paper makes it with some tricks like sharing filter weights and using intermediate outputs to suppress divergence in training. The model in th…
Rename images using deep learning Auto-image-renamer automates the task of renaming images with meaningful names. It uses Microsoft Computer Vision APIs deep learning algorithms to rename the images …
Donkeycar is minimalist and modular self driving library for Python. It is developed for hobbyists and students with a focus on allowing fast experimentation and easy community contributions. The don…
Finally the saved models are used for making predictions.Confusion Matrix is used as the Performance Metrics for this classifcation task.
A minimal and fast image library for Python and C++. Current set of features include: Tested on: Native extension dependencies: Single-line command for installing all dependencies: However, if you al…
"The Intel® AI DevCloud is a cluster of Intel® Xeon® Scalable Processors that will assist you with your machine learning and deep learning training and inference compute needs. It provides access to …
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