Sa-m commited on
Commit
b6c8702
1 Parent(s): ce9ef2e

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -26,10 +26,10 @@ MODEL_PATH='Nst_model'
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  np.set_printoptions(suppress=True)
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  # Load model from TF-Hub
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- model = hub.load('https://tfhub.dev/google/magenta/arbitrary-image-stylization-v1-256/2')
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  # Load the model
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- #model = tf.keras.models.load_model(MODEL_PATH)
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  def tensor_to_image(tensor):
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  tensor = tensor*255
@@ -68,7 +68,7 @@ def gray_scaled(inp_img):
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  def transform_mymodel(content_image,style_image):
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  # Convert to float32 numpy array, add batch dimension, and normalize to range [0, 1]
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- content_image=gray_scaled(content_image)
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  content_image = content_image.astype(np.float32)[np.newaxis, ...] / 255.0
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  style_image = style_image.astype(np.float32)[np.newaxis, ...] / 255.0
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  np.set_printoptions(suppress=True)
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  # Load model from TF-Hub
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+ #model = hub.load('https://tfhub.dev/google/magenta/arbitrary-image-stylization-v1-256/2')
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  # Load the model
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+ model = tf.keras.models.load_model(MODEL_PATH)
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  def tensor_to_image(tensor):
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  tensor = tensor*255
 
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  def transform_mymodel(content_image,style_image):
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  # Convert to float32 numpy array, add batch dimension, and normalize to range [0, 1]
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+ #content_image=gray_scaled(content_image)
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  content_image = content_image.astype(np.float32)[np.newaxis, ...] / 255.0
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  style_image = style_image.astype(np.float32)[np.newaxis, ...] / 255.0
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