def test_empty_pointcloud(self):
"""
The pointcloud is sometimes returned empty.
It seems to be random and about 1/10 of the time
We test here the stability.
"""
test_model = SketchupModel.find_google_id("fb01ac920e6b68fd7236c5b88164c0b8")
number_of_attempt = 10
for i in range(number_of_attempt):
print "Compute cloud {} on {}".format(i, number_of_attempt)
# Generate the pointcloud
PartialView.compute_all_views( test_model )
def test_empty_pointcloud(self):
"""
The pointcloud is sometimes returned empty.
It seems to be random and about 1/10 of the time
We test here the stability.
"""
test_model = SketchupModel.find_google_id(
"fb01ac920e6b68fd7236c5b88164c0b8")
number_of_attempt = 10
for i in range(number_of_attempt):
print "Compute cloud {} on {}".format(i, number_of_attempt)
# Generate the pointcloud
PartialView.compute_all_views(test_model)
def _get_example_matrix(self, use_entropy):
""" Return the input matrix of example (X). """
X = numpy.zeros([0, SHAPE_DISTRIBUTION_SIZE])
Y = numpy.array([])
W = numpy.array([]) # Weights of the samples
for idx, (category, model_ids) in (enumerate(
self.dict_categories.items())):
for model_id in model_ids:
model = SketchupModel.find_google_id(model_id)
if model.partialview_set.count() == 0:
PartialView.compute_all_views(model)
(x, w) = self._get_model_example_matrix(model, use_entropy)
y = numpy.array([idx for _ in range(x.shape[0])])
X = numpy.vstack([X, x])
Y = numpy.concatenate([Y, y])
W = numpy.concatenate([W, w])
return (X, Y, W)
def _get_example_matrix(self, use_entropy):
""" Return the input matrix of example (X). """
X = numpy.zeros([0, SHAPE_DISTRIBUTION_SIZE])
Y = numpy.array([])
W = numpy.array([]) # Weights of the samples
for idx, (category,
model_ids) in (enumerate(self.dict_categories.items())):
for model_id in model_ids:
model = SketchupModel.find_google_id(model_id)
if model.partialview_set.count() == 0:
PartialView.compute_all_views(model)
(x, w) = self._get_model_example_matrix(model, use_entropy)
y = numpy.array([idx for _ in range(x.shape[0])])
X = numpy.vstack([X, x])
Y = numpy.concatenate([Y, y])
W = numpy.concatenate([W, w])
return (X, Y, W)
