（Tensorflow之十四）圖像預處理

原圖像

圖像加載

原碼：

import matplotlib.pyplot as plt
import tensorflow as tf

image_path = "/xxx/timg.jpeg"
image_data = tf.gfile.FastGFile(image_path,'r').read()


with tf.Session() as sess:
    image_data = tf.image.decode_jpeg(image_data)
    print(image_data.eval())
           

列印出的圖像像素點

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圖像修剪

resize_image = tf.image.resize_images(image_data,[,],method=1)
    plt.imshow(resize_image.eval())
    plt.show()
           

resize_image = tf.image.resize_image_with_crop_or_pad(image_data,,)
    plt.imshow(resize_image.eval())
    plt.show()
    resize_image = tf.image.resize_image_with_crop_or_pad(image_data,,)
    plt.imshow(resize_image.eval())
    plt.show()
           

圖像翻轉

resize_image = tf.image.flip_left_right(image_data)
    plt.imshow(resize_image.eval())
    plt.show()
    resize_image = tf.image.flip_up_down(image_data)
    plt.imshow(resize_image.eval())
    plt.show()
           

圖像亮度調整

resize_image = tf.image.adjust_brightness(image_data,-)
    plt.imshow(resize_image.eval())
    plt.show()
    resize_image = tf.image.adjust_brightness(image_data,+)
    plt.imshow(resize_image.eval())
    plt.show()
           

圖像對比度調整

resize_image = tf.image.adjust_contrast(image_data,)
    plt.imshow(resize_image.eval())
    plt.show()
    resize_image = tf.image.adjust_contrast(image_data,-)
    plt.imshow(resize_image.eval())
    plt.show()
           

圖像飽和度調整

resize_image = tf.image.adjust_saturation(image_data,-)
    plt.imshow(resize_image.eval())
    plt.show()
    resize_image = tf.image.adjust_saturation(image_data,)
    plt.imshow(resize_image.eval())
    plt.show()
           

圖像存儲

resize_image = tf.image.adjust_saturation(image_data,)
encode_image = tf.image.encode_jpeg(resize_image)
with tf.gfile.GFile("/home/abig/vscode/project1/save.jpeg","wb") as f:
f.write(encode_image.eval())
           

存儲後的圖檔