gradio/preprocessing_utils.py
2019-02-17 17:47:15 -08:00

54 lines
2.2 KiB
Python

from PIL import Image
def resize_and_crop(img, size, crop_type='top'):
"""
Resize and crop an image to fit the specified size.
args:
img_path: path for the image to resize.
modified_path: path to store the modified image.
size: `(width, height)` tuple.
crop_type: can be 'top', 'middle' or 'bottom', depending on this
value, the image will cropped getting the 'top/left', 'midle' or
'bottom/rigth' of the image to fit the size.
raises:
Exception: if can not open the file in img_path of there is problems
to save the image.
ValueError: if an invalid `crop_type` is provided.
"""
# Get current and desired ratio for the images
img_ratio = img.size[0] / float(img.size[1])
ratio = size[0] / float(size[1])
# The image is scaled/cropped vertically or horizontally depending on the ratio
if ratio > img_ratio:
img = img.resize((size[0], size[0] * img.size[1] / img.size[0]),
Image.ANTIALIAS)
# Crop in the top, middle or bottom
if crop_type == 'top':
box = (0, 0, img.size[0], size[1])
elif crop_type == 'middle':
box = (0, (img.size[1] - size[1]) / 2, img.size[0], (img.size[1] + size[1]) / 2)
elif crop_type == 'bottom':
box = (0, img.size[1] - size[1], img.size[0], img.size[1])
else:
raise ValueError('ERROR: invalid value for crop_type')
img = img.crop(box)
elif ratio < img_ratio:
img = img.resize((size[1] * img.size[0] / img.size[1], size[1]),
Image.ANTIALIAS)
# Crop in the top, middle or bottom
if crop_type == 'top':
box = (0, 0, size[0], img.size[1])
elif crop_type == 'middle':
box = ((img.size[0] - size[0]) / 2, 0, (img.size[0] + size[0]) / 2, img.size[1])
elif crop_type == 'bottom':
box = (img.size[0] - size[0], 0, img.size[0], img.size[1])
else:
raise ValueError('ERROR: invalid value for crop_type')
img = img.crop(box)
else:
img = img.resize((size[0], size[1]),
Image.ANTIALIAS)
# If the scale is the same, we do not need to crop
return img