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import warnings |
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import cv2 |
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import numpy as np |
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from PIL import Image |
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from custom_controlnet_aux.util import HWC3, resize_image_with_pad |
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class BinaryDetector: |
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def __call__(self, input_image=None, bin_threshold=0, detect_resolution=512, output_type=None, upscale_method="INTER_CUBIC", **kwargs): |
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if "img" in kwargs: |
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warnings.warn("img is deprecated, please use `input_image=...` instead.", DeprecationWarning) |
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input_image = kwargs.pop("img") |
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if input_image is None: |
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raise ValueError("input_image must be defined.") |
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if not isinstance(input_image, np.ndarray): |
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input_image = np.array(input_image, dtype=np.uint8) |
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output_type = output_type or "pil" |
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else: |
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output_type = output_type or "np" |
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detected_map, remove_pad = resize_image_with_pad(input_image, detect_resolution, upscale_method) |
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img_gray = cv2.cvtColor(detected_map, cv2.COLOR_RGB2GRAY) |
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if bin_threshold == 0 or bin_threshold == 255: |
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otsu_threshold, img_bin = cv2.threshold(img_gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU) |
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print("Otsu threshold:", otsu_threshold) |
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else: |
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_, img_bin = cv2.threshold(img_gray, bin_threshold, 255, cv2.THRESH_BINARY_INV) |
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detected_map = cv2.cvtColor(img_bin, cv2.COLOR_GRAY2RGB) |
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detected_map = HWC3(remove_pad(255 - detected_map)) |
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if output_type == "pil": |
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detected_map = Image.fromarray(detected_map) |
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return detected_map |
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