bwosh / ODRND

Object Detection Research & Development for ARM devices using Keras, TensorFlow, TFLite

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Object Detection Research & Development

This open-source repository is a space for Object Detecton Research with ARM-based devices performance in mind.

object detection sample

Goals

  1. Push low-end Android device (Xiaomi Redmi 7A) to its object detection (3 classes) FPS limits using:
  2. Push Raspberry Pi Zero W to its object detection (3 classes) FPS limits using:

3 classes mentioned above are: person, vehicle, animal

Details

You can navigate to the details here:

License

ODRND - Object Detection Research And Development
Copyright (C) 2020 Błażej Matuszewski

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

If you need to use software in proprietary, non-open-source code: licence exceptions may be obtained after contacting me.

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Object Detection Research & Development for ARM devices using Keras, TensorFlow, TFLite

License:GNU General Public License v3.0


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Language:Python 64.5%Language:Jupyter Notebook 35.5%