application_vnd.jupyter.stderr_output_1.png
import cv2
import numpy as np
import os
import tensorflow as tf
from tensorflow import keras
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from sklearn.metrics import roc_curve, auc, accuracy_score, precision_score, recall_score, f1_score, roc_auc_score
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, roc_auc_score, roc_curve, confusion_matrix
import seaborn as sns
EPOCHS = 10
IMG_WIDTH = 30
IMG_HEIGHT = 30
NUM_CATEGORIES = 43
TEST_SIZE = 0.4