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# https://stackoverflow.com/questions/63761717/load-image-dataset | |
# https://stackoverflow.com/questions/60655280/how-to-split-an-image-dataset-in-x-train-y-train-x-test-y-test-by-tensorflow | |
import tensorflow as tf | |
import pandas as pd | |
train_df = pd.read_csv('train.csv') | |
train_df['class'] = train_df['class'].apply(str) | |
train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(horizontal_flip=True, vertical_flip=True,) | |
train_ds = train_datagen.flow_from_dataframe(train_df, target_size=(224, 224), x_col = 'file_path', y_col = 'class') | |
""" | |
import glob | |
horse = glob.glob('full_dataset/horse/*.*') | |
donkey = glob.glob('full_dataset/donkey/*.*') | |
cow = glob.glob('full_dataset/cow/*.*') | |
zebra = glob.glob('full_dataset/zebra/*.*') | |
data = [] | |
labels = [] | |
for i in horse: | |
image=tf.keras.preprocessing.image.load_img(i, color_mode='RGB', | |
target_size= (280,280)) | |
image=np.array(image) | |
data.append(image) | |
labels.append(0) | |
for i in donkey: | |
image=tf.keras.preprocessing.image.load_img(i, color_mode='RGB', | |
target_size= (280,280)) | |
image=np.array(image) | |
data.append(image) | |
labels.append(1) | |
for i in cow: | |
image=tf.keras.preprocessing.image.load_img(i, color_mode='RGB', | |
target_size= (280,280)) | |
image=np.array(image) | |
data.append(image) | |
labels.append(2) | |
for i in zebra: | |
image=tf.keras.preprocessing.image.load_img(i, color_mode='RGB', | |
target_size= (280,280)) | |
image=np.array(image) | |
data.append(image) | |
labels.append(3) | |
data = np.array(data) | |
labels = np.array(labels) | |
from sklearn.model_selection import train_test_split | |
X_train, X_test, ytrain, ytest = train_test_split(data, labels, test_size=0.2, | |
random_state=42) | |
""" |
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