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65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import absolute_import
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import json
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from .. import c_lib_wrap as C
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def mask_to_json(result):
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r_json = {
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"data": result.data,
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"shape": result.shape,
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}
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return json.dumps(r_json)
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def detection_to_json(result):
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masks = []
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for mask in result.masks:
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masks.append(mask_to_json(mask))
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r_json = {
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"boxes": result.boxes,
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"scores": result.scores,
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"label_ids": result.label_ids,
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"masks": masks,
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"contain_masks": result.contain_masks
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}
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return json.dumps(r_json)
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def classify_to_json(result):
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r_json = {
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"label_ids": result.label_ids,
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"scores": result.scores,
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}
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return json.dumps(r_json)
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def fd_result_to_json(result):
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if isinstance(result, list):
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r_list = []
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for r in result:
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r_list.append(fd_result_to_json(r))
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return r_list
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elif isinstance(result, C.vision.DetectionResult):
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return detection_to_json(result)
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elif isinstance(result, C.vision.Mask):
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return mask_to_json(result)
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elif isinstance(result, C.vision.ClassifyResult):
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return classify_to_json(result)
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else:
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assert False, "{} Conversion to JSON format is not supported".format(
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type(result))
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return {}
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