Mar 18, 2019Computer Vision .js frameworks you need to know1. TensorFlow.js2. Amazon Rekognition3. OpenCV.js4. tracking.js5. WebGazer.js6.
JavaScript and Computer Vision
js, and tracking. js are notable JavaScript tools that allow developers to implement advanced computer vision algorithms directly in JavaScript. These libraries provide a wide range of functionalities, including image filtering, feature extraction, object recognition, and more.
Amazon Rekognition
Amazon Rekognition is a powerful cloud-based tool.
But they also provide SDKs for JavaScript in browsers which can be found here.
Below is an image illustrating how detailed their face detection can be.
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Opencv.Js
Being one of the oldest computer vision frameworks out there, OpenCV has served developers in computer vision for a very long time.
They also have a JavaScript versionallowing developers to implement those features onto a website.
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Tensorflow.Js
Being one of the largest machine learning frameworks, TensorFlow also allows the creation of Node.js and front-end JavaScript applications with Tensorflow.js.
Below is one of their demos matching poses with a collection of images.
TensorFlow also has a playgroundallowing us to visualize better artificial neural networks, which can be great for educ.
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Three.Ar.Js
Another framework from Google, three.ar.js extends the functionalities of ARCoreonto front-end JavaScript.
It enables us to integrate surface and object detection into browsers, which is the perfect tool for an AR game.
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tracking.js
If you are only looking to build a quick face detection app, such as a web version of the snapchat filters, you should take a look at tracking.js.
This framework allows integration of face recognition with JavaScript with a fairly simple setup.
I have also wrote a guideon this framework dropping a leprechaun hat onto faces for St.
Patrick’s Day.
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Webgazer.Js
Whether you are trying to perform user experience studies or creating new interactive systems for your game or websites, WebGazer.jscan be a great place to start.
This powerful framework allows our apps to know where the person is looking at with camera inputs.
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What are the best computer vision frameworks?
OpenCV.js Being one of the oldest computer vision frameworks out there, OpenCV has served developers in computer vision for a very long time.
They also have a JavaScript version allowing developers to implement those features onto a website.
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What is computer vision and why is it important?
Computer vision has been a hot topic in recent years, enabling countless great applications.
With the effort from some dedicated developers in the world, creating an application utilizing computer vision is no longer rocket science.
In fact, you can build many of the application in a few lines of JavaScript code.
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What is object detection in computer vision?
Object detection is the task of detecting where in an image an object is located and classifying every object of interest in a given image.
In computer vision, this technique is used in applications such as:
picture retrieval security cameras and autonomous vehicles. ,
What is OpenCV (Open Source computer vision library)?
OpenCV, or Open Source Computer Vision Library, is a powerful library used for image processing and image recognition.
The library has a massive community and has been used extensively in many fields, from face detection to interactive art.
It was first built in C++, but bindings have been created for different languages, such as:
Python and Java.
JavaScript engine developed by Intel, which allows parallel processing
River Trail is an open-source software engine designed by Intel for executing JavaScript code using parallel computing on multi-core processors.
