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- import numpy as np
- import matplotlib.pyplot as plt
- try:
- from scipy import misc
- except ImportError:
- !pip install scipy
- from scipy import misc
- import tensorflow as tf
- import numpy as np
- import imageio
- import matplotlib.pyplot as plt
- try:
- from scipy import misc
- except ImportError:
- !pip install scipy
- from scipy import misc
- training_size = 265
- col_row = 400
- img_size = 250*250
- training_data = np.empty(shape=(training_size, 250*250))
- import glob
- i = 0
- for filename in glob.glob('D:/TensorPalms/Train/*.jpg'):
- #image = imageio.imread(filename)
- image = np.array(Image.open(filename))
- image1 = image[:,:, np.newaxis]
- image2 = tf.Session().run(tf.image.resize_image_with_crop_or_pad(image1, 250, 250))
- image3 = image2[:,:,0]
- print(image3.shape)
- plt.imshow(image3)
- plt.show()
- training_data[i] = image3.reshape(-1)
- i+=1
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