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https://github.com/PaddlePaddle/FastDeploy.git
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625845c7d6
* Update ppseg backend support type * Update ppseg preprocess if condition * Update README.md * Update README.md * Update README.md * Update ppseg with eigen functions * Delete old argmax function * Update README.md * Delete apply_softmax in ppseg example demo * Update ppseg code with createFromTensor function * Delete FDTensor2CVMat function * Update README.md * Update README.md * Update README.md * Update README.md * Update ppseg model.cc with transpose&&softmax in place convert * Update segmentation_result.md * Update model.cc * Update README.md * Update README.md Co-authored-by: Jason <jiangjiajun@baidu.com>
60 lines
2.1 KiB
Python
60 lines
2.1 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, ModelFormat
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from .... import c_lib_wrap as C
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class PaddleSegModel(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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runtime_option=None,
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model_format=ModelFormat.PADDLE):
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super(PaddleSegModel, self).__init__(runtime_option)
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assert model_format == ModelFormat.PADDLE, "PaddleSeg only support model format of ModelFormat.Paddle now."
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self._model = C.vision.segmentation.PaddleSegModel(
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model_file, params_file, config_file, self._runtime_option,
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model_format)
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assert self.initialized, "PaddleSeg model initialize failed."
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def predict(self, input_image):
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return self._model.predict(input_image)
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@property
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def apply_softmax(self):
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return self._model.apply_softmax
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@apply_softmax.setter
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def apply_softmax(self, value):
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assert isinstance(
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value,
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bool), "The value to set `apply_softmax` must be type of bool."
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self._model.apply_softmax = value
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@property
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def is_vertical_screen(self):
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return self._model.is_vertical_screen
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@is_vertical_screen.setter
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def is_vertical_screen(self, value):
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assert isinstance(
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value,
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bool), "The value to set `is_vertical_screen` must be type of bool."
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self._model.is_vertical_screen = value
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