58 lines
1.9 KiB
Markdown
58 lines
1.9 KiB
Markdown
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# Documentation
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- Class name: ImageIntensityDetector
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- Category: ControlNet Preprocessors/Recolor
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- Output node: False
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ImageIntensityDetector 节点专门用于通过调整图像的强度水平来预处理图像。这种调整是通过伽马校正实现的，在进一步处理之前增强图像的整体可见度和对比度。
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# Input types
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## Required
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- image
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- 需要进行强度调整（通过伽马校正）的输入图像。
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- Comfy dtype: IMAGE
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- Python dtype: numpy.ndarray
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## Optional
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- gamma_correction
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- 指定用于调整图像强度的伽马校正因子。较高的值会使图像变亮，较低的值会使图像变暗，显著影响输出的视觉质量。
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- Comfy dtype: FLOAT
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- Python dtype: float
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- resolution
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- 在应用强度调整之前，图像被调整到的分辨率，影响输出的细节水平。
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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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- 输出是一个经过强度水平调整的图像，适用于视觉分析或进一步的图像处理任务。
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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 ImageIntensityDetector:
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@classmethod
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def INPUT_TYPES(s):
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#https://github.com/Mikubill/sd-webui-controlnet/blob/416c345072c9c2066101e225964e3986abe6945e/scripts/processor.py#L1229
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return create_node_input_types(
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gamma_correction=("FLOAT", {"default": 1.0, "min": 0.1, "max": 2.0, "step": 0.001})
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)
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "execute"
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CATEGORY = "ControlNet Preprocessors/Recolor"
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def execute(self, image, gamma_correction, resolution=512, **kwargs):
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from controlnet_aux.recolor import Recolorizer
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return (common_annotator_call(Recolorizer(), image, mode="intensity", gamma_correction=gamma_correction , resolution=resolution), )
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```
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