controlnet_aux/canny/__init__.py

import warnings
import cv2
import numpy as np
from PIL import Image
from ..util import HWC3, resize_image

class CannyDetector:
 def __call__(self, input_image=None, low_threshold=100, high_threshold=200, detect_resolution=512, image_resolution=512, output_type=None, **kwargs):
 if "img" in kwargs:
 warnings.warn("img is deprecated, please use `input_image=...` instead.", DeprecationWarning)
 input_image = kwargs.pop("img")
 
 if input_image is None:
 raise ValueError("input_image must be defined.")

 if not isinstance(input_image, np.ndarray):
 input_image = np.array(input_image, dtype=np.uint8)
 output_type = output_type or "pil"
 else:
 output_type = output_type or "np"
 
 input_image = HWC3(input_image)
 input_image = resize_image(input_image, detect_resolution)

 detected_map = cv2.Canny(input_image, low_threshold, high_threshold)
 detected_map = HWC3(detected_map) 
 
 img = resize_image(input_image, image_resolution)
 H, W, C = img.shape

 detected_map = cv2.resize(detected_map, (W, H), interpolation=cv2.INTER_LINEAR)
 
 if output_type == "pil":
 detected_map = Image.fromarray(detected_map)
 
 return detected_map