result.py 1.5 KB

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  1. # Copyright (c) 2024 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. import copy
  15. import numpy as np
  16. from ....utils.deps import class_requires_deps, is_dep_available
  17. from ...common.result import BaseCVResult, JsonMixin
  18. if is_dep_available("opencv-contrib-python"):
  19. import cv2
  20. @class_requires_deps("opencv-contrib-python")
  21. class TextDetResult(BaseCVResult):
  22. def _to_img(self):
  23. """draw rectangle"""
  24. boxes = self["dt_polys"]
  25. image = self["input_img"]
  26. for box in boxes:
  27. box = np.reshape(np.array(box).astype(int), [-1, 1, 2]).astype(np.int64)
  28. cv2.polylines(image, [box], True, (0, 0, 255), 2)
  29. return {"res": image[:, :, ::-1]}
  30. def _to_str(self, *args, **kwargs):
  31. data = copy.deepcopy(self)
  32. data.pop("input_img")
  33. return JsonMixin._to_str(data, *args, **kwargs)
  34. def _to_json(self, *args, **kwargs):
  35. data = copy.deepcopy(self)
  36. data.pop("input_img")
  37. return JsonMixin._to_json(data, *args, **kwargs)