add reference code
add reference code
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import torch
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from .imagefunc import log, tensor2pil, pil2tensor, chop_image
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from .imagefunc import image_to_colormap
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colormap_list = ['autumn', 'bone', 'jet', 'winter', 'rainbow', 'ocean',
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'summer', 'sprint', 'cool', 'HSV', 'pink', 'hot',
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'parula', 'magma', 'inferno', 'plasma', 'viridis', 'cividis',
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'twilight', 'twilight_shifted', 'turbo', 'deepgreen']
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class ColorMap:
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def __init__(self):
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self.NODE_NAME = 'ColorMap'
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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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"image": ("IMAGE", ),
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"color_map": (colormap_list,),
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"opacity": ("INT", {"default": 100, "min": 0, "max": 100, "step": 1}), # 透明度
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},
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"optional": {
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}
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}
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RETURN_TYPES = ("IMAGE",)
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RETURN_NAMES = ("image",)
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FUNCTION = 'color_map'
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CATEGORY = '😺dzNodes/LayerFilter'
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def color_map(self, image, color_map, opacity
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):
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ret_images = []
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for i in image:
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i = torch.unsqueeze(i, 0)
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_canvas = tensor2pil(i)
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_image = image_to_colormap(_canvas, colormap_list.index(color_map))
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ret_image = chop_image(_canvas, _image, 'normal', opacity)
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ret_images.append(pil2tensor(ret_image))
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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),)
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NODE_CLASS_MAPPINGS = {
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"LayerFilter: ColorMap": ColorMap
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"LayerFilter: ColorMap": "LayerFilter: ColorMap"
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}
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