text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png
import os

import sys
import csv
import os
import math
import json, codecs
import numpy as np
import pandas as pd
import cv2 as cv
import matplotlib.pyplot as plt
from zipfile import ZipFile
import shutil
from glob import glob
from PIL import Image
from PIL import ImageFilter
from sklearn.model_selection import train_test_split
import keras
from keras import layers
from keras.models import Model
from keras.layers import Input, Dense
from keras.preprocessing.image import ImageDataGenerator, img_to_array, load_img
from keras.models import Sequential
from keras.applications.vgg16 import VGG16
from keras.preprocessing import image
from keras.applications import ResNet50
from keras.applications.resnet50 import preprocess_input
import torch
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))