57 lines
1.9 KiB
Markdown
57 lines
1.9 KiB
Markdown
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# Documentation
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- Class name: BinaryPreprocessor
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- Category: ControlNet Preprocessors/Line Extractors
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- Output node: False
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BinaryPreprocessor节点旨在通过应用二值化阈值技术来预处理图像。该方法基于指定的阈值将图像转换为二值图像(黑白图像)，这对于突出某些特征或简化图像以便进一步处理非常有用。
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# Input types
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## Required
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- image
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- image参数是要处理的输入图像。它是进行二值化阈值操作的主要数据。
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- Comfy dtype: IMAGE
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- Python dtype: numpy.ndarray
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## Optional
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- bin_threshold
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- bin_threshold参数指定了将图像中的像素值转换为黑色或白色的临界值。高于此阈值的像素将变为白色，低于此阈值的像素将变为黑色，有助于从图像中提取显著特征。
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- Comfy dtype: INT
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- Python dtype: int
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- resolution
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- resolution参数指定了在应用二值化阈值之前将输入图像调整到的分辨率。这允许对原始分辨率不同的图像进行一致的处理。
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- Comfy dtype: INT
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- Python dtype: int
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# Output types
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- image
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- 输出是输入图像的二值化(黑白)版本，其中转换是基于指定的bin_threshold值进行的。
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- Comfy dtype: IMAGE
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- Python dtype: numpy.ndarray
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## Usage tips
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- Infra type: `CPU`
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- Common nodes: unknown
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## Source code
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```python
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class Binary_Preprocessor:
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@classmethod
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def INPUT_TYPES(s):
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return create_node_input_types(
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bin_threshold=("INT", {"default": 100, "min": 0, "max": 255, "step": 1})
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)
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "execute"
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CATEGORY = "ControlNet Preprocessors/Line Extractors"
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def execute(self, image, bin_threshold, resolution=512, **kwargs):
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from controlnet_aux.binary import BinaryDetector
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return (common_annotator_call(BinaryDetector(), image, bin_threshold=bin_threshold, resolution=resolution), )
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```
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