Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel

#595 Feature/sg 492 fuzzy logic for get param and factories

Merged
Ghost merged 1 commits into Deci-AI:master from deci-ai:feature/SG-492_fuzzy_logic_for_get_param_and_factories
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
  1. from __future__ import absolute_import
  2. import cv2
  3. from super_gradients.training.datasets.data_augmentation import DataAugmentation
  4. from super_gradients.training.datasets.sg_dataset import ListDataset, DirectoryDataSet
  5. from super_gradients.training.datasets.classification_datasets import ImageNetDataset, Cifar10, Cifar100
  6. from super_gradients.training.datasets.detection_datasets import DetectionDataset, COCODetectionDataset, PascalVOCDetectionDataset
  7. from super_gradients.training.datasets.segmentation_datasets.segmentation_dataset import SegmentationDataSet
  8. from super_gradients.training.datasets.segmentation_datasets.pascal_voc_segmentation import (
  9. PascalVOC2012SegmentationDataSet,
  10. PascalAUG2012SegmentationDataSet,
  11. PascalVOCAndAUGUnifiedDataset,
  12. )
  13. from super_gradients.training.datasets.segmentation_datasets.coco_segmentation import CoCoSegmentationDataSet
  14. from super_gradients.training.datasets.segmentation_datasets.supervisely_persons_segmentation import SuperviselyPersonsDataset
  15. cv2.setNumThreads(0)
  16. __all__ = [
  17. "DataAugmentation",
  18. "ListDataset",
  19. "DirectoryDataSet",
  20. "SegmentationDataSet",
  21. "PascalVOC2012SegmentationDataSet",
  22. "PascalAUG2012SegmentationDataSet",
  23. "PascalVOCAndAUGUnifiedDataset",
  24. "CoCoSegmentationDataSet",
  25. "DetectionDataset",
  26. "COCODetectionDataset",
  27. "PascalVOCDetectionDataset",
  28. "ImageNetDataset",
  29. "Cifar10",
  30. "Cifar100",
  31. "SuperviselyPersonsDataset",
  32. ]
Discard
Tip!

Press p or to see the previous file or, n or to see the next file