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from .imagefunc import * | |
NODE_NAME = 'CheckMask' | |
# 检查mask是否有效,如果mask面积少于指定比例则判为无效mask | |
class CheckMask: | |
def __init__(self): | |
pass | |
def INPUT_TYPES(self): | |
blank_mask_list = ['white', 'black'] | |
return { | |
"required": { | |
"mask": ("MASK",), # | |
"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 | |
"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 | |
}, | |
"optional": { # | |
} | |
} | |
RETURN_TYPES = ("BOOLEAN",) | |
RETURN_NAMES = ('bool',) | |
FUNCTION = 'check_mask' | |
CATEGORY = '😺dzNodes/LayerUtility' | |
def check_mask(self, mask, white_point, area_percent,): | |
if mask.dim() == 2: | |
mask = torch.unsqueeze(mask, 0) | |
mask = tensor2pil(mask[0]) | |
if mask.width * mask.height > 262144: | |
target_width = 512 | |
target_height = int(target_width * mask.height / mask.width) | |
mask = mask.resize((target_width, target_height), Image.LANCZOS) | |
return (mask_white_area(mask, white_point) * 100 > area_percent,) | |
NODE_CLASS_MAPPINGS = { | |
"LayerUtility: CheckMask": CheckMask | |
} | |
NODE_DISPLAY_NAME_MAPPINGS = { | |
"LayerUtility: CheckMask": "LayerUtility: Check Mask" | |
} |