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All Projects → gagolucasm → Classify-Real-Time-Desktop

gagolucasm / Classify-Real-Time-Desktop

Licence: MIT license
Inception model used to classify camera feed on real time. Coded during the Deep Learning Hackathon 2017 San Francisco

Programming Languages

python
139335 projects - #7 most used programming language

Labels

deep-learningneural-networkimage-recognitioninception

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Classify real time desktop and speech

Overview

Team DeepThings (Mez Gebre and I) won the Best Product Category at the Deep Learning Hackathon in San Francisco. We developed in three days a real-time system capable of identifying objects and speaking what it sees, thinking about making a useful tool for the visually impaired, as it could make navigation easier. Proof of concept on a laptop, final model running on Android.

This is only the first prototype for Windows.

The goals / steps of this project are the following:

  • Get the Webcam feed without bottlenecks.
  • Recognize images using Inception v3.
  • Text to speech with Google TTS API.
  • Making a functional model.
  • Tuninning the parameters.
  • Output visual display of the results.

Dependencies

This module requires:

Usage

Just run: python classify_real_time_v2.py

The output should look like this:

alt text

More details

For more information, check my medium post here

Licence

This proyect is Copyright © 2016-2017 Lucas Gago. It is free software, and may be redistributed under the terms specified in the MIT Licence.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].