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"""Image Inset Crop, with percentages."""
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from .log import log_node_info
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from .constants import get_category, get_name
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from nodes import MAX_RESOLUTION
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def get_new_bounds(width, height, left, right, top, bottom):
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"""Returns the new bounds for an image with inset crop data."""
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left = 0 + left
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right = width - right
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top = 0 + top
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bottom = height - bottom
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return (left, right, top, bottom)
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class RgthreeImageInsetCrop:
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"""Image Inset Crop, with percentages."""
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NAME = get_name('Image Inset Crop')
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CATEGORY = get_category()
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"image": ("IMAGE",),
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"measurement": (['Pixels', 'Percentage'],),
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"left": ("INT", {
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"default": 0,
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"min": 0,
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"max": MAX_RESOLUTION,
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"step": 8
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}),
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"right": ("INT", {
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"default": 0,
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"min": 0,
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"max": MAX_RESOLUTION,
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"step": 8
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}),
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"top": ("INT", {
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"default": 0,
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"min": 0,
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"max": MAX_RESOLUTION,
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"step": 8
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}),
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"bottom": ("INT", {
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"default": 0,
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"min": 0,
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"max": MAX_RESOLUTION,
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"step": 8
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}),
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},
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "crop"
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def crop(self, measurement, left, right, top, bottom, image=None):
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"""Does the crop."""
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_, height, width, _ = image.shape
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if measurement == 'Percentage':
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left = int(width - (width * (100 - left) / 100))
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right = int(width - (width * (100 - right) / 100))
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top = int(height - (height * (100 - top) / 100))
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bottom = int(height - (height * (100 - bottom) / 100))
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left = left // 8 * 8
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right = right // 8 * 8
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top = top // 8 * 8
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bottom = bottom // 8 * 8
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if left == 0 and right == 0 and bottom == 0 and top == 0:
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return (image,)
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inset_left, inset_right, inset_top, inset_bottom = get_new_bounds(width, height, left, right,
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top, bottom)
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if inset_top > inset_bottom:
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raise ValueError(
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f"Invalid cropping dimensions top ({inset_top}) exceeds bottom ({inset_bottom})")
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if inset_left > inset_right:
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raise ValueError(
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f"Invalid cropping dimensions left ({inset_left}) exceeds right ({inset_right})")
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log_node_info(
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self.NAME, f'Cropping image {width}x{height} width inset by {inset_left},{inset_right}, ' +
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f'and height inset by {inset_top}, {inset_bottom}')
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image = image[:, inset_top:inset_bottom, inset_left:inset_right, :]
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return (image,)
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