This is the Windows app named OpenVINO Training Extensions whose latest release can be downloaded as Releasev1.4.3sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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OpenVINO Training Extensions
DESCRIPTION
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
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/openvino-train-ext.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
