Machine Learning With BSL Demo Mac OS

  1. Machine Learning With Bsl Demo Mac Os Download
  2. Machine Learning With Bsl Demo Mac Os X

We would like to show you a description here but the site won’t allow us. So I type this on my iMac but can turn to my right to my Windows machine which is the powerhouse for running ML stuff. I have a Linux VM for the occasional thing that won't run on windows. For lightweight stuff the Mac is best and if all you are doing is learning it is probably best. Files saved with this BSL Student version can be opened in the corresponding full program but are not compatible with earlier releases. For previous versions of BSL Analysis download: If running BSL 4.1.5 or below, see BSL Student Windows or BSL Student Mac; If running BSL 4.0, see BSL Analysis Only – 4.0.0-4.0.3 – Win and Mac.

Create intelligent features and enable new experiences for your apps by leveraging powerful on-device machine learning. Learn how to build, train, and deploy machine learning models into your iPhone, iPad, Apple Watch, and Mac apps.

Core ML

Core ML delivers blazingly fast performance with easy integration of machine learning models, allowing you to build apps with intelligent new features using just a few lines of code. Easily add pre-built machine learning features into your apps using APIs powered by Core ML or use Create ML for more flexibility and train custom Core ML models right on your Mac. You can also convert models from other training libraries using Core ML Converters or download ready-to-use Core ML models.

Machine Learning APIs

Bring on-device machine learning features, like object detection in images and video, language analysis, and sound classification, to your app with just a few lines of code.

Vision

Build features that can process and analyze images and video using computer vision.

Natural Language

Process and make sense of text in different ways, like embedding or classifying words.

Speech

Take advantage of speech recognition and saliency features for a variety of languages.

Sound

Analyze audio and recognize it as a particular type, such as laughter or applause.

Create ML

Create ML lets you quickly build and train Core ML models right on your Mac with no code. The easy-to-use app interface and models available for training make the process easier than ever, so all you need to get started is your training data. You can even take control of the training process with features like snapshots and previewing to help you visualize model training and accuracy.

Models

Download models that have been converted to the Core ML format and are ready to be integrated into your app.

Resources

Access tools like Core ML Converters that let you convert a model to Core ML from another format.

This project attempts to create a tutorial program demo that offer opportunity for users to learn and practice British Sign Language (BSL) vocabulary. I had wanted to develop a machine learning program that could take advantage of BSL’s expressive nature to create an artistic image.

Please note that input from Leap Motion is glitchy so it may take several tries to get it to recognise your handshape (sign) correctly.

Machine Learning With Bsl Demo Mac Os Download

StatusPrototype
PlatformsWindows, macOS
Release date Jun 23, 2019
AuthorUnknownBot
GenreEducational
Tagsbritish-sign-language, bsl, Leap Motion, machine-learning, processing, student-project, wekinator

Machine Learning With Bsl Demo Mac Os X

Install instructions

You will need to have a leap motion, and have Processing (https://processing.org/) and Wekinator (http://www.wekinator.org/) installed first to play this. If not, you can still have a look at one of the Processing file called 'Output_10_Classes_DTW' to get an idea of what this project is like.

  1. Open both Processing programs:
    1. ‘Inputs_21_DTW’
    2. Output_10_Classes_DTW’.
  2. Open the software Wekinator-Kadenze.
    1. Click on the button ‘Done’.
    2. Load the Project named ‘Wekinator.wekproj’ which can be found inside the folder ‘Wekinator’.
    3. Start listening on port 6448.
    4. Click on ‘Run’ button.
  3. Run both Processing programs open.
    1. Put them side to side.
  4. Connect the Leap Motion.
    1. Ensure that Leap Motion is in Desktop mode
    2. Ensure that the green light is facing toward you.
  5. Click on any of 5 buttons offered within UI window (Output_10_Classes_DTW) to see a video clip of a BSL sign.
  6. Ensure that Leap Motion window (Inputs_21_DTW) is clicked on before attempting to sign.
  7. While signing, have a look at bottom of UI window to see what it is you’re signing.


Good luck!

Machine learning with bsl demo mac os catalina

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