openvino training extensions

We have hosted the application openvino training extensions in order to run this application in our online workstations with Wine or directly.

Quick description about 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. When ote_cli is installed in the virtual environment, you can use the ote command line interface to perform various actions for templates related to the chosen task type, such as running, training, evaluating, exporting, etc. ote train trains a model (a particular model template) on a dataset and saves results in two files. ote optimize optimizes a pre-trained model using NNCF or POT depending on the model format. NNCF optimization used for trained snapshots in a framework-specific format. POT optimization used for models exported in the OpenVINO IR format.

Features:

• Requires Ubuntu 18.04 / 20.04
• Supports Python 3.8+
• Requires CUDA Toolkit 11.1 - for training on GPU
• The project files can be found in OpenVINO� Training Extensions
• Deep Learning Deployment Toolkit is licensed under Apache License Version 2.0
• Training, export, and evaluation scripts for TensorFlow- and most PyTorch-based models

Programming Language: Python.
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