Better offset
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@@ -80,10 +80,20 @@ def offset(curve, distance):
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curvature_values = curvature(curve)
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# Offsetting
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offset_curve = [segment.parallel(
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(curve[i], curve[i+1]), distance) for i in range(len(curve) - 1)]
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offset_segments = [segment.parallel(
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(curve[i], curve[i+1]), distance, curvature_values[i]) for i in range(len(curve) - 1)]
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return offset_curve
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# Combining segments
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combined_curve = []
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combined_curve.append(np.round(offset_segments[0][0]).tolist())
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for i in range(0, len(offset_segments)-1):
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combined_curve.append(segment.middle_point(
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offset_segments[i][1], offset_segments[i+1][0]))
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combined_curve.append(np.round(offset_segments[-1][1]).tolist())
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return combined_curve
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# for i in range(1, len(offset_curve)-1):
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# pass
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# TODO : Curve Offset
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@@ -49,26 +49,27 @@ def orthogonal(origin, point, distance, normal=np.array([0, 1, 0])):
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if np.array_equal(orthogonal, np.zeros((3,))):
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raise ValueError("The input vectors are not linearly independent.")
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orthogonal = np.add(np.multiply(orthogonal, distance), origin)
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orthogonal = np.round(
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np.add(np.multiply(orthogonal, distance), origin)).astype(int)
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return orthogonal
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def discrete_segment(xyz1, xyz2, pixel_perfect=True):
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def discrete_segment(start_point, end_point, pixel_perfect=True):
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"""
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Calculate a line between two points in 3D space.
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https://www.geeksforgeeks.org/bresenhams-algorithm-for-3-d-line-drawing/
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Args:
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xyz1 (tuple): First coordinates.
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xyz2 (tuple): Second coordinates.
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start_point (tuple): (x, y, z) First coordinates.
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end_point (tuple): (x, y, z) Second coordinates.
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pixel_perfect (bool, optional): If true, remove unnecessary coordinates connecting to other coordinates side by side, leaving only a diagonal connection. Defaults to True.
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Returns:
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list: List of coordinates.
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"""
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(x1, y1, z1) = xyz1
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(x2, y2, z2) = xyz2
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(x1, y1, z1) = start_point
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(x2, y2, z2) = end_point
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x1, y1, z1, x2, y2, z2 = (
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round(x1),
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round(y1),
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@@ -162,3 +163,10 @@ def discrete_segment(xyz1, xyz2, pixel_perfect=True):
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p1 += 2 * dy
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p2 += 2 * dx
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return points
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def middle_point(start_point, end_point):
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return (np.round((start_point[0] + end_point[0]) / 2.0).astype(int),
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np.round((start_point[1] + end_point[1]) / 2.0).astype(int),
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np.round((start_point[2] + end_point[2]) / 2.0).astype(int),
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)
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