def fill_image(final_image_size, pillow, crop_closeness=0):
willow = PillowImage(pillow)
width, height = final_image_size
image_width, image_height = willow.get_size()
focal_point = Rect(image_width / 2, image_height / 2, image_width / 2,
image_height / 2)
# Get crop aspect ratio
crop_aspect_ratio = width / height
# Get crop max
crop_max_scale = min(image_width, image_height * crop_aspect_ratio)
crop_max_width = crop_max_scale
crop_max_height = crop_max_scale / crop_aspect_ratio
# Initialise crop width and height to max
crop_width = crop_max_width
crop_height = crop_max_height
# Use crop closeness to zoom in
if focal_point is not None:
# Get crop min
crop_min_scale = max(focal_point.width, focal_point.height * crop_aspect_ratio)
crop_min_width = crop_min_scale
crop_min_height = crop_min_scale / crop_aspect_ratio
# Sometimes, the focal point may be bigger than the image...
if not crop_min_scale >= crop_max_scale:
# Calculate max crop closeness to prevent upscaling
max_crop_closeness = max(
1 - (width - crop_min_width) / (crop_max_width - crop_min_width),
1 - (height - crop_min_height) / (crop_max_height - crop_min_height)
)
# Apply max crop closeness
crop_closeness = min(crop_closeness, max_crop_closeness)
if 1 >= crop_closeness >= 0:
# Get crop width and height
crop_width = crop_max_width + (crop_min_width - crop_max_width) * crop_closeness
crop_height = crop_max_height + (crop_min_height - crop_max_height) * crop_closeness
# Find focal point UV
if focal_point is not None:
fp_x, fp_y = focal_point.centroid
else:
# Fall back to positioning in the centre
fp_x = image_width / 2
fp_y = image_height / 2
fp_u = fp_x / image_width
fp_v = fp_y / image_height
# Position crop box based on focal point UV
crop_x = fp_x - (fp_u - 0.5) * crop_width
crop_y = fp_y - (fp_v - 0.5) * crop_height
# Convert crop box into rect
rect = Rect.from_point(crop_x, crop_y, crop_width, crop_height)
# Make sure the entire focal point is in the crop box
if focal_point is not None:
rect = rect.move_to_cover(focal_point)
# Don't allow the crop box to go over the image boundary
rect = rect.move_to_clamp(Rect(0, 0, image_width, image_height))
# Crop!
willow = willow.crop(rect.round())
# Get scale for resizing
# The scale should be the same for both the horizontal and
# vertical axes
aftercrop_width, aftercrop_height = willow.get_size()
scale = width / aftercrop_width
# Only resize if the image is too big
if scale < 1.0:
# Resize!
willow = willow.resize((width, height))
return willow.get_pillow_image()
