python: 压缩图片

pip install imageio

    image = imageio.imread("1.jpg")
    imageio.imwrite("output_image.webp", image, "WEBP")

# 代码示例：使用Python的Keras库构建Autoencoder模型
from keras.models import Model
from keras.layers import Input, Dense

input_img = Input(shape=(784,))
encoded = Dense(128, activation='relu')(input_img)
decoded = Dense(784, activation='sigmoid')(encoded)

autoencoder = Model(input_img, decoded)
autoencoder.compile(optimizer='adam', loss='binary_crossentropy')

    rows, cols = (10, 10)
    F = [[0] * cols] * rows
    print(F)
    n=3
    y=0
    while y<10:
        x=0
        while x<10:
            for i in range(y,y+n-1):
                for j in range(x,x+n-1):
                    if(i<=9 and j<=9):
                        F[i][j]=1
            x=x+(n*2)
        y=y+(n*2)

    print(F)