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https://github.com/PaddlePaddle/FastDeploy.git
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40 lines
1.6 KiB
Python
40 lines
1.6 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 logging
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from ... import FastDeployModel, Frontend
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from ... import fastdeploy_main as C
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class PPYOLOE(FastDeployModel):
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def __init__(self,
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model_file,
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params_file,
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config_file,
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backend_option=None,
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model_format=Frontend.PADDLE):
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super(PPYOLOE, self).__init__(backend_option)
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assert model_format == Frontend.PADDLE, "PPYOLOE only support model format of Frontend.Paddle now."
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self._model = C.vision.ppdet.PPYOLOE(model_file, params_file,
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config_file, self._runtime_option,
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model_format)
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assert self.initialized, "PPYOLOE model initialize failed."
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def predict(self, input_image, conf_threshold=0.5, nms_iou_threshold=0.7):
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assert input_image is not None, "The input image data is None."
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return self._model.predict(input_image, conf_threshold,
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nms_iou_threshold)
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