__init__.py 3.2 KB

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  1. # copyright (c) 2024 PaddlePaddle Authors. All Rights Reserve.
  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 pathlib import Path
  15. from ..utils.official_models import official_models
  16. from .base import BasePredictor, BasicPredictor
  17. from .image_classification import ClasPredictor
  18. from .text_detection import TextDetPredictor
  19. from .text_recognition import TextRecPredictor
  20. from .table_recognition import TablePredictor
  21. from .object_detection import DetPredictor
  22. from .instance_segmentation import InstanceSegPredictor
  23. from .semantic_segmentation import SegPredictor
  24. from .general_recognition import ShiTuRecPredictor
  25. from .ts_fc import TSFcPredictor
  26. from .ts_ad import TSAdPredictor
  27. from .ts_cls import TSClsPredictor
  28. from .image_unwarping import WarpPredictor
  29. def _create_hp_predictor(
  30. model_name, model_dir, device, config, hpi_params, *args, **kwargs
  31. ):
  32. try:
  33. from paddlex_hpi.predictors import HPPredictor
  34. except ModuleNotFoundError as e:
  35. raise RuntimeError(
  36. "The PaddleX HPI plugin is not properly installed, and the high-performance model inference features are not available."
  37. )
  38. if hpi_params is None:
  39. raise ValueError("No HPI params given")
  40. if "serial_number" not in hpi_params:
  41. raise ValueError("The serial number is required but was not provided.")
  42. serial_number = hpi_params["serial_number"]
  43. update_license = hpi_params.get("update_license", False)
  44. return HPPredictor.get(model_name)(
  45. model_dir=model_dir,
  46. config=config,
  47. device=device,
  48. serial_number=serial_number,
  49. update_license=update_license,
  50. *args,
  51. **kwargs,
  52. )
  53. def create_predictor(
  54. model: str,
  55. *args,
  56. device=None,
  57. pp_option=None,
  58. use_hpip=False,
  59. hpi_params=None,
  60. **kwargs,
  61. ) -> BasePredictor:
  62. model_dir = check_model(model)
  63. config = BasePredictor.load_config(model_dir)
  64. model_name = config["Global"]["model_name"]
  65. if use_hpip:
  66. return _create_hp_predictor(
  67. model_name=model_name,
  68. model_dir=model_dir,
  69. config=config,
  70. hpi_params=hpi_params,
  71. device=device,
  72. *args,
  73. **kwargs,
  74. )
  75. else:
  76. return BasicPredictor.get(model_name)(
  77. model_dir=model_dir,
  78. config=config,
  79. device=device,
  80. pp_option=pp_option,
  81. *args,
  82. **kwargs,
  83. )
  84. def check_model(model):
  85. if Path(model).exists():
  86. return Path(model)
  87. elif model in official_models:
  88. return official_models[model]
  89. else:
  90. raise Exception(
  91. f"The model ({model}) is no exists! Please using directory of local model files or model name supported by PaddleX!"
  92. )