46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
from .imagefunc import *
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NODE_NAME = 'CheckMask'
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# 检查mask是否有效，如果mask面积少于指定比例则判为无效mask
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class CheckMask:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(self):
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blank_mask_list = ['white', 'black']
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return {
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"required": {
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"mask": ("MASK",), #
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"white_point": ("INT", {"default": 1, "min": 1, "max": 254, "step": 1}), # 用于判断mask是否有效的白点值，高于此值被计入有效
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"area_percent": ("INT", {"default": 1, "min": 1, "max": 99, "step": 1}), # 区域百分比，低于此则mask判定无效
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},
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"optional": { #
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}
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}
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RETURN_TYPES = ("BOOLEAN",)
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RETURN_NAMES = ('bool',)
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FUNCTION = 'check_mask'
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CATEGORY = '😺dzNodes/LayerUtility'
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def check_mask(self, mask, white_point, area_percent,):
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if mask.dim() == 2:
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mask = torch.unsqueeze(mask, 0)
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mask = tensor2pil(mask[0])
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if mask.width * mask.height > 262144:
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target_width = 512
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target_height = int(target_width * mask.height / mask.width)
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mask = mask.resize((target_width, target_height), Image.LANCZOS)
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return (mask_white_area(mask, white_point) * 100 > area_percent,)
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NODE_CLASS_MAPPINGS = {
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"LayerUtility: CheckMask": CheckMask
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerUtility: CheckMask": "LayerUtility: Check Mask"
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} |