def computeData(scene):
isophote_mesh = scene.isophoteMesh()
isophote_curves = isophote_mesh.isophoteCurves()
data_list = []
for isophote_curve in isophote_curves:
isophote_segments = isophote_curve.toCurveSegments()
for isophote_segment in isophote_segments:
isophote_segment = isophote_segment.divide(
int(0.2 * isophote_segment.numPoints()), int(0.5 * isophote_segment.numPoints())
)
if isophote_segment.numPoints() < 3:
continue
I = isophote_segment.isoValue()
I = 2.0 * I - 1.0
curvatures = isophote_segment.curvatures()
curvatures = smoothing(curvatures, smooth=15.0)
curvatures = curvatures / np.max(np.abs(curvatures))
normals_gt = isophote_segment.normals()
parameters = isophote_segment.arcLengthParameters()
normals_al = NormalConeInterpolation(
normals_gt[0], normals_gt[-1], isophote_segment.lightDir(), I
).interpolate(parameters)
normals_al_error = angleErros(normals_gt, normals_al)
cone_angle_changes = isophote_segment.coneAngleChanges()
cone_angle_changes = smoothing(cone_angle_changes, smooth=0.05)
cone_angle_changes = cone_angle_changes / np.max(np.abs(cone_angle_changes))
misclassification = curvatures * cone_angle_changes
ps = isophote_segment.points()
misclassification_segments = clipSegments(ps, misclassification < 0)
num_misclassification = len(np.where(misclassification < 0)[0])
misclassification_rate = float(num_misclassification) / float(len(misclassification))
data_list.append(
{
"ps": ps,
"curvatures": curvatures,
"cone_angle_changes": cone_angle_changes,
"misclassification_segments": misclassification_segments,
"misclassification_rate": misclassification_rate,
"normals_gt": normals_gt,
"normals_al": normals_al,
"normals_al_error": normals_al_error,
}
)
return data_list
def smoothingTangentZ(tangents_3D, parameters):
tangents_3D[:, 2] = smoothing(tangents_3D[:, 2], parameters, smooth=1.0)
return tangents_3D
def smoothing3DVectors(vectors_3D, parameters):
vectors_3D = smoothing(vectors_3D, parameters, smooth=0.01)
vectors_3D = normalizeVectors(vectors_3D)
return vectors_3D
