openvinotoolkit / Training_extensions
Licence: apache-2.0
Trainable models and NN optimization tools
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OpenVINO™ Training Extensions
OpenVINO™ Training Extensions provide a convenient environment to train Deep Learning models and convert them using the OpenVINO™ toolkit for optimized inference.
Quick Start Guide
Prerequisites
- Ubuntu 18.04 / 20.04
- Python 3.6+
- OpenVINO™ - for exporting and running models
- CUDA Toolkit 10.2 - for training on GPU
Setup OpenVINO™ Training Extensions
-
Clone repository in the working directory by running the following:
git clone https://github.com/openvinotoolkit/training_extensions.git export OTE_DIR=`pwd`/training_extensions
-
Clone Open Model Zoo repository to run demos:
git clone https://github.com/openvinotoolkit/open_model_zoo --branch develop export OMZ_DIR=`pwd`/open_model_zoo
-
Install prerequisites by running the following:
sudo apt-get install python3-pip virtualenv
-
Create and activate virtual environment:
cd training_extensions virtualenv venv source venv/bin/activate
-
Install
ote
package:pip3 install -e ote/
Models
After installation, you are ready to train your own models, evaluate and use them for prediction.
Misc
Models that were previously developed can be found here.
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