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Updated 3 years ago
!pip install jovian --upgrade --quite
Usage:
pip3 install [options] <requirement specifier> [package-index-options] ...
pip3 install [options] -r <requirements file> [package-index-options] ...
pip3 install [options] [-e] <vcs project url> ...
pip3 install [options] [-e] <local project path> ...
pip3 install [options] <archive url/path> ...
no such option: --quite
Creating new images from a GAN using Pytorch
The objective of this assignment is to create new images that don't exist within the dataset the model is trained on.
I have chosen a Generative Adversarial Network as the means to achieve this objective.
The dataset I've chosen for this project is the Intel Image Classification dataset found in Kaggle at https://www.kaggle.com/ikarus777/best-artworks-of-all-time?select=resized
Download the dataset
Using 'opendatasets' and download the dataset.
!pip install opendatasets --upgrade --quiet
import opendatasets as od