# facial features in images and map the style image onto content image
# style_image = tf.image.resize_with_crop_or_pad(style_image, 1500,1500)
# Trying face detection with OpenCV
x, y, w, h = detectAnime(path_to_pics + filename, i)
if x is not None:
print(x, y, w, h)
style_image = ImageUtils.grab_image("out.png")
# style_image = tf.image.resize_with_crop_or_pad(style_image, 1000,1000)
# Testing code ends here
style_orig = style_image
style_image = ImageUtils.image_op(
images=[content_image, style_image],
# Change this from a + b to something else
# May use CNN to map features
op=lambda a, b: ImageUtils.clip_0_1(a + b))
print(" - Generating image", i)
stylized_image = hub_model(tf.constant(content_image),
tf.constant(style_image))[0]
# Uncomment this and comment out previous stylized_image definition to
# map style image on content image without style transfer
# stylized_image = style_image
# Clear figure and update images
fig.clf()
plotset1 = ( # This shows 2x3 5-plot layout
((2, 3, 1), content_image, 'Content Image'),
# style_image = tf.image.resize_with_crop_or_pad(style_image, 1500,1500)
# Trying face detection with OpenCV
x, y, w, h = detectAnime(path_to_pics + filename, i)
if x is not None:
print(x, y, w, h)
style_image = ImageUtils.grab_image("out.png")
# style_image = tf.image.resize_with_crop_or_pad(style_image, 1000,1000)
# Testing code ends here
style_orig = style_image
style_image = ImageUtils.image_op(
images=[content_image, style_image],
# Change this from a + b to something else
# May use CNN to map features
# op = lambda a, b: ImageUtils.clip_0_1(a*0.2 + b*1.8) # Grossly Overemphasizes style image
# op = lambda a, b: ImageUtils.clip_0_1(a*0.7 + b*1) # Overemphasizes style image
op=lambda a, b: ImageUtils.clip_0_1(a + b))
print(" - Generating image", i)
stylized_image = hub_model(tf.constant(content_image),
tf.constant(style_image))[0]
# Uncomment this and comment out previous stylized_image definition to
# map style image on content image without style transfer
# stylized_image = style_image
# Clear figure and update images
# fig.clf()
# plotset1 = ( # This shows 2x3 5-plot layout
