This pull requests adds support for running the code in a setup with lower CPU memory (64GB). In
order to do so, it adds some additional parameters to the training script, that control caching and
shuffling. It also refactors the tf data pipeline, allowing for shuffling the order of the videos when
reading their features.
The changes also include some tweaks to the documentation to make the general instructions clearer.
Declaration
I confirm that this contribution is made under the terms of the license found in the root directory of this repository's source tree and that I have the authority necessary to make this contribution on behalf of its copyright owner.
Description
This pull requests adds support for running the code in a setup with lower CPU memory (64GB). In order to do so, it adds some additional parameters to the training script, that control caching and shuffling. It also refactors the tf data pipeline, allowing for shuffling the order of the videos when reading their features.
The changes also include some tweaks to the documentation to make the general instructions clearer.
Declaration
I confirm that this contribution is made under the terms of the license found in the root directory of this repository's source tree and that I have the authority necessary to make this contribution on behalf of its copyright owner.