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!pip install jovian --upgrade --quiet
!pip install opendatasets --upgrade
Collecting opendatasets Downloading https://files.pythonhosted.org/packages/18/99/aaa3ebec81dc347302e730e0daff61735ed2f3e736129553fb3f9bf67ed3/opendatasets-0.1.10-py3-none-any.whl Requirement already satisfied, skipping upgrade: click in /usr/local/lib/python3.6/dist-packages (from opendatasets) (7.1.2) Requirement already satisfied, skipping upgrade: tqdm in /usr/local/lib/python3.6/dist-packages (from opendatasets) (4.41.1) Requirement already satisfied, skipping upgrade: kaggle in /usr/local/lib/python3.6/dist-packages (from opendatasets) (1.5.10) Requirement already satisfied, skipping upgrade: requests in /usr/local/lib/python3.6/dist-packages (from kaggle->opendatasets) (2.23.0) Requirement already satisfied, skipping upgrade: python-dateutil in /usr/local/lib/python3.6/dist-packages (from kaggle->opendatasets) (2.8.1) Requirement already satisfied, skipping upgrade: six>=1.10 in /usr/local/lib/python3.6/dist-packages (from kaggle->opendatasets) (1.15.0) Requirement already satisfied, skipping upgrade: certifi in /usr/local/lib/python3.6/dist-packages (from kaggle->opendatasets) (2020.12.5) Requirement already satisfied, skipping upgrade: urllib3 in /usr/local/lib/python3.6/dist-packages (from kaggle->opendatasets) (1.24.3) Requirement already satisfied, skipping upgrade: python-slugify in /usr/local/lib/python3.6/dist-packages (from kaggle->opendatasets) (4.0.1) Requirement already satisfied, skipping upgrade: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->kaggle->opendatasets) (2.10) Requirement already satisfied, skipping upgrade: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->kaggle->opendatasets) (3.0.4) Requirement already satisfied, skipping upgrade: text-unidecode>=1.3 in /usr/local/lib/python3.6/dist-packages (from python-slugify->kaggle->opendatasets) (1.3) Installing collected packages: opendatasets Successfully installed opendatasets-0.1.10
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.transforms as T
import matplotlib.pyplot as plt
from torch.utils.data import DataLoader
from torchvision.datasets import ImageFolder
from torchvision.transforms import ToTensor
from torchvision.utils import save_image
from torchvision.utils import make_grid
from tqdm.notebook import tqdm
import matplotlib
%matplotlib inline
matplotlib.rcParams['figure.facecolor'] = '#ffffff'
import opendatasets as od

dataset_url = 'https://www.kaggle.com/bryanb/abstract-art-gallery'
od.download(dataset_url)
3%|▎ | 11.0M/415M [00:00<00:03, 110MB/s]
Downloading abstract-art-gallery.zip to ./abstract-art-gallery
100%|██████████| 415M/415M [00:01<00:00, 233MB/s]

Checking the Directory for Data/Images

datadir='./abstract-art-gallery'
folder=(os.listdir(datadir))
print(folder)
['Abstract_gallery']