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6c66acd
point_cloud_class_initial
schellmi42 Mar 10, 2021
047cddf
commented unused functions
schellmi42 Mar 10, 2021
7c05856
added missing __init__.py
schellmi42 Mar 10, 2021
80e9f60
added missing __init__.py
schellmi42 Mar 10, 2021
91c5482
fixed __init__.py imports
schellmi42 Mar 10, 2021
2830c7d
fixed __init__.py imports
schellmi42 Mar 10, 2021
157bf31
fixed __init__.py imports
schellmi42 Mar 10, 2021
ccb9d90
grid initial
schellmi42 Mar 11, 2021
8db8513
removed unused custom_ops wrappers
schellmi42 Mar 11, 2021
858eab0
added missing test util
schellmi42 Mar 11, 2021
da7e761
fixed indexing error in compute_keys_tf
schellmi42 Mar 11, 2021
a260bc4
neighborhood_initial
schellmi42 Mar 11, 2021
a8f88af
fixed indentation error
schellmi42 Mar 11, 2021
6e0982d
uncommented missing util function
schellmi42 Mar 11, 2021
ab73ea4
uncommented missing util function
schellmi42 Mar 11, 2021
621d296
gather_nd incompatibility
schellmi42 Mar 11, 2021
40dc80d
gather_nd issue
schellmi42 Mar 11, 2021
2bf99f6
fixed indexing error
schellmi42 Mar 11, 2021
4f5fd22
initial pde
schellmi42 Mar 11, 2021
a99fa17
added missing dependency
schellmi42 Mar 11, 2021
b351159
uncommented missing import
schellmi42 Mar 11, 2021
ac9fc08
test acc fix
schellmi42 Mar 12, 2021
ab4c109
spatial_sampling_initial
schellmi42 Mar 12, 2021
552d6af
fixed failed unit test
schellmi42 Mar 12, 2021
dccca39
added point hierarchy calss
schellmi42 May 3, 2021
846727f
Merge branch 'master' of https://github.com/tensorflow/graphics into …
schellmi42 May 3, 2021
36a298a
added 1x1conv and pooling layers
schellmi42 May 3, 2021
eb1b5d5
added unit tests
schellmi42 May 3, 2021
479e8cd
MCConv initial
schellmi42 May 20, 2021
46d7c3e
init PointConv
schellmi42 May 20, 2021
df2d42f
init KPConv
schellmi42 May 20, 2021
1004d44
init example notebooks
schellmi42 May 20, 2021
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added missing test util
  • Loading branch information
schellmi42 committed Mar 11, 2021
commit 858eab079bf204d1141f840a65dc540c4aebba39
Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ def _create_random_point_cloud_segmented(batch_size,
(batch_ids, np.arange(0, batch_size), np.arange(0, batch_size)))
return points, batch_ids

'''

def _create_random_point_cloud_padded(max_num_points,
batch_shape,
dimension=3,
Expand All @@ -59,7 +59,7 @@ def _create_random_point_cloud_padded(max_num_points,
sizes = np.random.randint(1, max_num_points, batch_shape)
return points, sizes


'''
def _create_uniform_distributed_point_cloud_2D(num_points_sqrt,
scale=1,
flat=False):
Expand Down