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evaluate.py
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evaluate.py
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from modules.utils import tensor_to_image, load_img, clip_0_1, resolve_video
from modules.forward import feed_forward
image_type = ('jpg', 'jpeg', 'png', 'bmp')
def transfer(content, weights, max_dim, result):
if content[-3:] in image_type:
# Build the feed-forward network and load the weights.
network = feed_forward()
network.load_weights(weights).expect_partial()
# Load content image.
image = load_img(path_to_img=content, max_dim=max_dim, resize=False)
print('Transfering image...')
# Geneerate the style imagee
image = network(image)
# Clip pixel values to 0-255
image = clip_0_1(image)
# Save the style image
tensor_to_image(image).save(result)
else:
network = feed_forward()
network.load_weights(weights)
resolve_video(network, path_to_video=content, result=result)