controlnet_aux/lineart_standard/__init__.py

# Code based based from the repository comfyui_controlnet_aux:
# https://github.com/Fannovel16/comfyui_controlnet_aux/blob/main/src/controlnet_aux/lineart_standard/__init__.py
import cv2
import numpy as np
from PIL import Image

from ..util import HWC3, resize_image


class LineartStandardDetector:
 def __call__(
 self,
 input_image=None,
 guassian_sigma=6.0,
 intensity_threshold=8,
 detect_resolution=512,
 output_type="pil",
 ):
 if not isinstance(input_image, np.ndarray):
 input_image = np.array(input_image, dtype=np.uint8)
 else:
 output_type = output_type or "np"

 original_height, original_width, _ = input_image.shape

 input_image = HWC3(input_image)
 input_image = resize_image(input_image, detect_resolution)

 x = input_image.astype(np.float32)
 g = cv2.GaussianBlur(x, (0, 0), guassian_sigma)
 intensity = np.min(g - x, axis=2).clip(0, 255)
 intensity /= max(16, np.median(intensity[intensity > intensity_threshold]))
 intensity *= 127
 detected_map = intensity.clip(0, 255).astype(np.uint8)

 detected_map = HWC3(detected_map)

 detected_map = cv2.resize(
 detected_map,
 (original_width, original_height),
 interpolation=cv2.INTER_CUBIC,
 )

 if output_type == "pil":
 detected_map = Image.fromarray(detected_map)

 return detected_map