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Do not use insert to insert the Y height in the Layer data

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Numpy's insert turns out to be slower than creating a new array and
manually copying values.

Contributes to CURA-708
This commit is contained in:
Arjen Hiemstra 2016-02-29 08:52:48 +01:00
parent 220146b0a9
commit 4573a233e9
1 changed files with 8 additions and 6 deletions
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14
plugins/CuraEngineBackend/ProcessSlicedObjectListJob.py
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@ -97,15 +97,17 @@ class ProcessSlicedObjectListJob(Job):
points = numpy.fromstring(polygon.points, dtype="i8") # Convert bytearray to numpy array
points = points.reshape((-1,2)) # We get a linear list of pairs that make up the points, so make numpy interpret them correctly.
points = numpy.asarray(points, dtype=numpy.float32)
points /= 1000
points = numpy.insert(points, 1, (layer.height / 1000), axis = 1)
points[:,2] *= -1
# Create a new 3D-array, copy the 2D points over and insert the right height.
new_points = numpy.empty((len(points), 3), numpy.float32)
new_points[:,0] = points[:,0]
new_points[:,1] = layer.height
new_points[:,2] = -points[:,1]
points -= center
new_points /= 1000
new_points -= center
layer_data.addPolygon(layer.id, polygon.type, points, polygon.line_width)
layer_data.addPolygon(layer.id, polygon.type, new_points, polygon.line_width)
Job.yieldThread()
Job.yieldThread()
current_layer += 1