python 顯示進度條

from tqdm import tqdm  # 導入tqdm,顯示進度條
from keras.preprocessing.image import ImageDataGenerator
from keras.datasets import cifar10
import numpy as np


NUM_TO_AUGMENT=5

(X_train,y_train),(X_test,y_test)=cifar10.load_data()

print("Augmenting training set images...")

datagen=ImageDataGenerator(
    rotation_range=40,
    width_shift_range=0.2,
    height_shift_range=0.2,
    zoom_range=0.2,
    horizontal_flip=True,
    fill_mode='nearest'
)

xtas,ytas=[],[]
for i in tqdm(range(X_train.shape[0])): # 使用tqdm
    num_aug=0
    x=X_train[i]
    x=x.reshape((1,)+x.shape)
    for x_aug in datagen.flow(x,batch_size=2,save_to_dir='/home/tianxiaoxiao/data/gendata3/',save_prefix='cifar',save_format='jpeg'):
        if num_aug>=NUM_TO_AUGMENT:
            break
        xtas.append(x_aug[0])
        num_aug+=1