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import warnings |
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import numpy as np |
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import cv2 |
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from shapely.geometry import Polygon |
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import pyclipper |
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from concern.config import Configurable, State |
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class MakeBorderMap(Configurable): |
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shrink_ratio = State(default=0.4) |
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thresh_min = State(default=0.3) |
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thresh_max = State(default=0.7) |
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def __init__(self, cmd={}, *args, **kwargs): |
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self.load_all(cmd=cmd, **kwargs) |
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warnings.simplefilter("ignore") |
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def __call__(self, data, *args, **kwargs): |
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image = data['image'] |
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polygons = data['polygons'] |
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ignore_tags = data['ignore_tags'] |
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canvas = np.zeros(image.shape[:2], dtype=np.float32) |
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mask = np.zeros(image.shape[:2], dtype=np.float32) |
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for i in range(len(polygons)): |
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if ignore_tags[i]: |
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continue |
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self.draw_border_map(polygons[i], canvas, mask=mask) |
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canvas = canvas * (self.thresh_max - self.thresh_min) + self.thresh_min |
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data['thresh_map'] = canvas |
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data['thresh_mask'] = mask |
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return data |
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def draw_border_map(self, polygon, canvas, mask): |
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polygon = np.array(polygon) |
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assert polygon.ndim == 2 |
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assert polygon.shape[1] == 2 |
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polygon_shape = Polygon(polygon) |
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distance = polygon_shape.area * \ |
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(1 - np.power(self.shrink_ratio, 2)) / polygon_shape.length |
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subject = [tuple(l) for l in polygon] |
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padding = pyclipper.PyclipperOffset() |
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padding.AddPath(subject, pyclipper.JT_ROUND, |
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pyclipper.ET_CLOSEDPOLYGON) |
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padded_polygon = np.array(padding.Execute(distance)[0]) |
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cv2.fillPoly(mask, [padded_polygon.astype(np.int32)], 1.0) |
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xmin = padded_polygon[:, 0].min() |
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xmax = padded_polygon[:, 0].max() |
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ymin = padded_polygon[:, 1].min() |
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ymax = padded_polygon[:, 1].max() |
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width = xmax - xmin + 1 |
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height = ymax - ymin + 1 |
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polygon[:, 0] = polygon[:, 0] - xmin |
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polygon[:, 1] = polygon[:, 1] - ymin |
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xs = np.broadcast_to( |
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np.linspace(0, width - 1, num=width).reshape(1, width), (height, width)) |
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ys = np.broadcast_to( |
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np.linspace(0, height - 1, num=height).reshape(height, 1), (height, width)) |
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distance_map = np.zeros( |
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(polygon.shape[0], height, width), dtype=np.float32) |
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for i in range(polygon.shape[0]): |
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j = (i + 1) % polygon.shape[0] |
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absolute_distance = self.distance(xs, ys, polygon[i], polygon[j]) |
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distance_map[i] = np.clip(absolute_distance / distance, 0, 1) |
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distance_map = distance_map.min(axis=0) |
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xmin_valid = min(max(0, xmin), canvas.shape[1] - 1) |
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xmax_valid = min(max(0, xmax), canvas.shape[1] - 1) |
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ymin_valid = min(max(0, ymin), canvas.shape[0] - 1) |
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ymax_valid = min(max(0, ymax), canvas.shape[0] - 1) |
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canvas[ymin_valid:ymax_valid + 1, xmin_valid:xmax_valid + 1] = np.fmax( |
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1 - distance_map[ |
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ymin_valid-ymin:ymax_valid-ymax+height, |
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xmin_valid-xmin:xmax_valid-xmax+width], |
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canvas[ymin_valid:ymax_valid + 1, xmin_valid:xmax_valid + 1]) |
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def distance(self, xs, ys, point_1, point_2): |
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''' |
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compute the distance from point to a line |
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ys: coordinates in the first axis |
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xs: coordinates in the second axis |
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point_1, point_2: (x, y), the end of the line |
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''' |
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height, width = xs.shape[:2] |
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square_distance_1 = np.square( |
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xs - point_1[0]) + np.square(ys - point_1[1]) |
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square_distance_2 = np.square( |
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xs - point_2[0]) + np.square(ys - point_2[1]) |
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square_distance = np.square( |
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point_1[0] - point_2[0]) + np.square(point_1[1] - point_2[1]) |
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cosin = (square_distance - square_distance_1 - square_distance_2) / \ |
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(2 * np.sqrt(square_distance_1 * square_distance_2)) |
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square_sin = 1 - np.square(cosin) |
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square_sin = np.nan_to_num(square_sin) |
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result = np.sqrt(square_distance_1 * square_distance_2 * |
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square_sin / square_distance) |
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result[cosin < 0] = np.sqrt(np.fmin( |
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square_distance_1, square_distance_2))[cosin < 0] |
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return result |
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def extend_line(self, point_1, point_2, result): |
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ex_point_1 = (int(round(point_1[0] + (point_1[0] - point_2[0]) * (1 + self.shrink_ratio))), |
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int(round(point_1[1] + (point_1[1] - point_2[1]) * (1 + self.shrink_ratio)))) |
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cv2.line(result, tuple(ex_point_1), tuple(point_1), |
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4096.0, 1, lineType=cv2.LINE_AA, shift=0) |
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ex_point_2 = (int(round(point_2[0] + (point_2[0] - point_1[0]) * (1 + self.shrink_ratio))), |
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int(round(point_2[1] + (point_2[1] - point_1[1]) * (1 + self.shrink_ratio)))) |
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cv2.line(result, tuple(ex_point_2), tuple(point_2), |
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4096.0, 1, lineType=cv2.LINE_AA, shift=0) |
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return ex_point_1, ex_point_2 |
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