def save_images(X, save_path):
# [0, 1] -> [0,255]
if isinstance(X.flatten()[0], np.floating):
X = (255.99*X).astype('uint8')
n_samples = X.shape[0]
rows = int(np.sqrt(n_samples))
while n_samples % rows != 0:
rows -= 1
nh, nw = rows, n_samples/rows
if X.ndim == 2:
X = np.reshape(X, (X.shape[0], int(np.sqrt(X.shape[1])), int(np.sqrt(X.shape[1]))))
if X.ndim == 4:
# BCHW -> BHWC
X = X.transpose(0,2,3,1)
h, w = X[0].shape[:2]
img = np.zeros((h*nh, w*nw, 3))
elif X.ndim == 3:
h, w = X[0].shape[:2]
img = np.zeros((h*nh, w*nw))
for n, x in enumerate(X):
j = n/nw
i = n%nw
img[j*h:j*h+h, i*w:i*w+w] = x
imsave(save_path, img)
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