!pip install jovian --upgrade --quiet
!pip install opendatasets --upgrade

project_name = 'fruitsfinal'

import numpy as np 
import pandas as pd 
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))

import torch
import os
import jovian
import torchvision
import numpy as np
import matplotlib.pyplot as plt
import torch.nn as nn
import torchvision.models as models
import torch.nn.functional as F
from torchvision.datasets import ImageFolder
from torchvision.transforms import ToTensor
from torchvision.utils import make_grid
from torch.utils.data.dataloader import DataLoader
from torch.utils.data import random_split
#from torchvision.datasets import CIFAR10
import torchvision.models as models
from PIL import Image
import opendatasets as od
%matplotlib inline

# Import dataset
#data_dir = '../input/fruits/fruits-360'
dataset_url="https://www.kaggle.com/moltean/fruits"
od.download(dataset_url)