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