84 lines
2.8 KiB
Python
84 lines
2.8 KiB
Python
import torch
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from PIL import Image
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from .imagefunc import log, tensor2pil, pil2tensor, image2mask
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class RestoreCropBox:
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def __init__(self):
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self.NODE_NAME = 'RestoreCropBox'
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@classmethod
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def INPUT_TYPES(self):
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return {
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"required": {
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"background_image": ("IMAGE", ),
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"croped_image": ("IMAGE",),
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"invert_mask": ("BOOLEAN", {"default": False}), # 反转mask#
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"crop_box": ("BOX",),
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},
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"optional": {
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"croped_mask": ("MASK",),
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}
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}
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RETURN_TYPES = ("IMAGE", "MASK", )
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RETURN_NAMES = ("image", "mask", )
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FUNCTION = 'restore_crop_box'
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CATEGORY = '😺dzNodes/LayerUtility'
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def restore_crop_box(self, background_image, croped_image, invert_mask, crop_box,
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croped_mask=None
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):
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b_images = []
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l_images = []
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l_masks = []
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ret_images = []
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ret_masks = []
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for b in background_image:
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b_images.append(torch.unsqueeze(b, 0))
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for l in croped_image:
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l_images.append(torch.unsqueeze(l, 0))
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m = tensor2pil(l)
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if m.mode == 'RGBA':
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l_masks.append(m.split()[-1])
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else:
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l_masks.append(Image.new('L', size=m.size, color='white'))
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if croped_mask is not None:
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if croped_mask.dim() == 2:
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croped_mask = torch.unsqueeze(croped_mask, 0)
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l_masks = []
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for m in croped_mask:
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if invert_mask:
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m = 1 - m
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l_masks.append(tensor2pil(torch.unsqueeze(m, 0)).convert('L'))
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max_batch = max(len(b_images), len(l_images), len(l_masks))
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for i in range(max_batch):
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background_image = b_images[i] if i < len(b_images) else b_images[-1]
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croped_image = l_images[i] if i < len(l_images) else l_images[-1]
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_mask = l_masks[i] if i < len(l_masks) else l_masks[-1]
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_canvas = tensor2pil(background_image).convert('RGB')
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_layer = tensor2pil(croped_image).convert('RGB')
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ret_mask = Image.new('L', size=_canvas.size, color='black')
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_canvas.paste(_layer, box=tuple(crop_box), mask=_mask)
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ret_mask.paste(_mask, box=tuple(crop_box))
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ret_images.append(pil2tensor(_canvas))
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ret_masks.append(image2mask(ret_mask))
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log(f"{self.NODE_NAME} Processed {len(ret_images)} image(s).", message_type='finish')
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return (torch.cat(ret_images, dim=0), torch.cat(ret_masks, dim=0),)
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NODE_CLASS_MAPPINGS = {
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"LayerUtility: RestoreCropBox": RestoreCropBox
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerUtility: RestoreCropBox": "LayerUtility: RestoreCropBox"
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} |