bluelovers
commented
3 months ago something like this
code from Tabnine AI
def resize_image(resize_mode, im, width, height, upscaler_name=None, crop_anchor=(0.5, 0.5)):
"""
Resizes an image with the specified resize_mode, width, height, and crop_anchor.
Args:
resize_mode: The mode to use when resizing the image.
0: Resize the image to the specified width and height.
1: Resize the image to fill the specified width and height, maintaining the aspect ratio, and then center the image within the dimensions, cropping the excess.
2: Resize the image to fit within the specified width and height, maintaining the aspect ratio, and then center the image within the dimensions, filling empty with data from image.
im: The image to resize.
width: The width to resize the image to.
height: The height to resize the image to.
upscaler_name: The name of the upscaler to use. If not provided, defaults to opts.upscaler_for_img2img.
crop_anchor: The point from which the image should be cropped. The values should be between 0 and 1, representing the x and y coordinates of the anchor point. The default value is (0.5, 0.5), which represents the center of the image.
"""
#... (existing code)
elif resize_mode == 1:
ratio = width / height
src_ratio = im.width / im.height
src_w = width if ratio > src_ratio else im.width * height // im.height
src_h = height if ratio <= src_ratio else im.height * width // im.width
resized = resize(im, src_w, src_h)
res = Image.new("RGB", (width, height))
# Calculate the coordinates of the crop box based on the crop_anchor
x_offset = int(crop_anchor[0] * (resized.width - src_w))
y_offset = int(crop_anchor[1] * (resized.height - src_h))
res.paste(resized, box=(width // 2 - src_w // 2 - x_offset, height // 2 - src_h // 2 - y_offset))
#... (existing code)
Is there an existing issue for this?
What would your feature do ?
something like photoshop can choose anchor when resize crop
this will easy help for some input image aspect ratio is very diff with target size
Proposed workflow
Additional information
No response