__init__.py 1.9 KB

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  1. # copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
  2. #
  3. # Licensed under the Apache License, Version 2.0 (the "License");
  4. # you may not use this file except in compliance with the License.
  5. # You may obtain a copy of the License at
  6. #
  7. # http://www.apache.org/licenses/LICENSE-2.0
  8. #
  9. # Unless required by applicable law or agreed to in writing, software
  10. # distributed under the License is distributed on an "AS IS" BASIS,
  11. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12. # See the License for the specific language governing permissions and
  13. # limitations under the License.
  14. from __future__ import absolute_import
  15. __version__ = '1.2.3'
  16. import os
  17. if 'FLAGS_eager_delete_tensor_gb' not in os.environ:
  18. os.environ['FLAGS_eager_delete_tensor_gb'] = '0.0'
  19. if 'FLAGS_allocator_strategy' not in os.environ:
  20. os.environ['FLAGS_allocator_strategy'] = 'auto_growth'
  21. if "CUDA_VISIBLE_DEVICES" in os.environ:
  22. if os.environ["CUDA_VISIBLE_DEVICES"].count("-1") > 0:
  23. os.environ["CUDA_VISIBLE_DEVICES"] = ""
  24. import paddle
  25. version = paddle.__version__.strip().split('.')
  26. if version[0] != '1' and version[1] != '8':
  27. raise Exception(
  28. "For running paddlex(v{}), Version of paddlepaddle should be greater than 1.8.3 and less than 2.0.0".
  29. format(__version__))
  30. from .utils.utils import get_environ_info
  31. from . import cv
  32. from . import det
  33. from . import seg
  34. from . import cls
  35. from . import slim
  36. from . import converter
  37. from . import tools
  38. from . import deploy
  39. try:
  40. import pycocotools
  41. except:
  42. print(
  43. "[WARNING] pycocotools is not installed, detection model is not available now."
  44. )
  45. print(
  46. "[WARNING] pycocotools install: https://paddlex.readthedocs.io/zh_CN/develop/install.html#pycocotools"
  47. )
  48. env_info = get_environ_info()
  49. load_model = cv.models.load_model
  50. datasets = cv.datasets
  51. transforms = cv.transforms
  52. log_level = 2
  53. from . import interpret