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hub / github.com/Zhiyuan-R/Tiger-Diffusion / get_dataset

Function get_dataset

test_generation.py:381–401  ·  view source on GitHub ↗
(dataroot, npoints,category,use_mask=False)

Source from the content-addressed store, hash-verified

379#############################################################################
380
381def get_dataset(dataroot, npoints,category,use_mask=False):
382 tr_dataset = ShapeNet15kPointClouds(root_dir=dataroot,
383 categories=[category], split='train',
384 tr_sample_size=npoints,
385 te_sample_size=npoints,
386 scale=1.,
387 normalize_per_shape=False,
388 normalize_std_per_axis=False,
389 random_subsample=True, use_mask = use_mask)
390 te_dataset = ShapeNet15kPointClouds(root_dir=dataroot,
391 categories=[category], split='val',
392 tr_sample_size=npoints,
393 te_sample_size=npoints,
394 scale=1.,
395 normalize_per_shape=False,
396 normalize_std_per_axis=False,
397 all_points_mean=tr_dataset.all_points_mean,
398 all_points_std=tr_dataset.all_points_std,
399 use_mask=use_mask
400 )
401 return tr_dataset, te_dataset
402
403
404

Callers 2

evaluate_genFunction · 0.70
generateFunction · 0.70

Calls 1

Tested by

no test coverage detected