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62 lines
2.3 KiB
Python
62 lines
2.3 KiB
Python
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 modules.control.util import HWC3, resize_image
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ed = None
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"""
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PFmode: bool
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EdgeDetectionOperator: int
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GradientThresholdValue: int
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AnchorThresholdValue: int
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ScanInterval: int
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MinPathLength: int
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Sigma: float
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SumFlag: bool
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NFAValidation: bool
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MinLineLength: int
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MaxDistanceBetweenTwoLines: float
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LineFitErrorThreshold: float
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MaxErrorThreshold: float
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"""
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class EdgeDetector:
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def __call__(self, input_image=None, pf=True, mode='edge', detect_resolution=512, image_resolution=512, output_type=None, **kwargs):
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global ed # pylint: disable=global-statement
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if ed is None:
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try:
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ed = cv2.ximgproc.createEdgeDrawing()
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except Exception as e:
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raise ImportError("Edge processor: invalid version of OpenCV found") from e
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params = cv2.ximgproc.EdgeDrawing.Params()
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params.PFmode = pf
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ed.setParams(params)
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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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input_image = HWC3(input_image)
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input_image = resize_image(input_image, detect_resolution)
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img_gray = cv2.cvtColor(input_image, cv2.COLOR_BGR2GRAY)
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edges = ed.detectEdges(img_gray)
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if mode == 'edge':
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edge_map = ed.getEdgeImage(edges)
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else:
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edge_map = ed.getGradientImage(edges)
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edge_map = np.expand_dims(edge_map, axis=2)
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edge_map = cv2.cvtColor(edge_map, cv2.COLOR_GRAY2BGR).astype(np.uint8)
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edge_map = HWC3(edge_map)
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img = resize_image(input_image, image_resolution)
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H, W, _C = img.shape
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edge_map = cv2.resize(edge_map, (W, H), interpolation=cv2.INTER_LINEAR)
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if output_type == "pil":
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edge_map = Image.fromarray(edge_map)
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return edge_map
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