| 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 |
|
|
