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import pandas as pd

import itertools
import zipfile
import re
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.colors import ListedColormap, LinearSegmentedColormap
import cv2
from PIL import Image
from skimage.feature import hog
from sklearn import preprocessing
from sklearn import svm
from sklearn.cluster import KMeans
from sklearn.metrics import confusion_matrix
from sklearn.metrics import classification_report
from sklearn.model_selection import train_test_split
import torch
import torch.nn as nn
from torch.utils.data import Dataset
from torch.utils.data import SubsetRandomSampler, DataLoader
from torchvision import transforms, models
path = '../input/painter-by-numbers/'
df = pd.read_csv(path + 'all_data_info.csv')
df.head()