我正在编写一个程序来压缩文件夹中存在的所有图像。在压缩所有图像之后,循环不会结束。所有压缩过程结束后如何终止。
def compress():
algorithm = "full"
for f in os.listdir('.'):
if f.endswith('.png'):
image = io.imread(f, 0)
rows = image.shape[0]
cols = image.shape[1]
pixels = image.reshape(image.shape[0] * image.shape[1], image.shape[2])
kmeans = MiniBatchKMeans(n_clusters=128, n_init=10, max_iter=200)
kmeans.fit(pixels)
clusters = np.asarray(kmeans.cluster_centers_, dtype=np.uint8)
labels = np.asarray(kmeans.labels_, dtype=np.uint8)
labels = labels.reshape(rows, cols)
colored = clusters[labels]
# np.save('codebook'+f+'.npy', clusters)
io.imsave('compressed_' + f, colored)
img1 = mpimg.imread(f, 0)
img2 = mpimg.imread('compressed_' + f, 0)
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 10))
ax1.imshow(img1)
ax1.set_title('Original image')
ax2.imshow(img2)
ax2.set_title('Compressed image')
plt.show()
fig, ax = plt.subplots(2, 1)
img = cv2.imread(f, 0)
ax[0].hist(img.ravel(), 256, [0, 256]);
ax[0].set_title("Original image")
img1 = cv2.imread('compressed_' + f, 0)
ax[1].hist(img1.ravel(), 256, [0, 256]);
ax[1].set_title("Compressed image")
plt.show()
print('size of original image: ', int(os.stat(f).st_size / 1024), 'kB')
print('size of compressed image:', int(os.stat('compressed_' + f).st_size / 1024), 'kB')