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- # copyright (c) 2024 PaddlePaddle Authors. All Rights Reserve.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- import copy
- import numpy as np
- import cv2
- from pathlib import Path
- from ...common.result import BaseCVResult, StrMixin, JsonMixin
- class TextDetResult(BaseCVResult):
- def _get_input_fn(self):
- fn = super()._get_input_fn()
- if (page_idx := self["page_index"]) is not None:
- fp = Path(fn)
- stem, suffix = fp.stem, fp.suffix
- return f"{stem}_{page_idx}{suffix}"
- else:
- return fn
- def _to_img(self):
- """draw rectangle"""
- boxes = self["dt_polys"]
- image = self["input_img"]
- for box in boxes:
- box = np.reshape(np.array(box).astype(int), [-1, 1, 2]).astype(np.int64)
- cv2.polylines(image, [box], True, (0, 0, 255), 2)
- return {"res": image[:, :, ::-1]}
- def _to_str(self, *args, **kwargs):
- data = copy.deepcopy(self)
- data.pop("input_img")
- return JsonMixin._to_str(data, *args, **kwargs)
- def _to_json(self, *args, **kwargs):
- data = copy.deepcopy(self)
- data.pop("input_img")
- return JsonMixin._to_json(data, *args, **kwargs)
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