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* Update README.md * Update README.md * Update README.md * Create README.md * Update README.md * Update README.md * Update README.md * Update README.md * Add evaluation calculate time and fix some bugs * Update classification __init__ * Move to ppseg * Add segmentation doc * Add PaddleClas infer.py * Update PaddleClas infer.py * Delete .infer.py.swp * Add PaddleClas infer.cc * Update README.md * Update README.md * Update README.md * Update infer.py * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Add PaddleSeg doc and infer.cc demo * Update README.md * 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, Frontend
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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=Frontend.PADDLE):
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super(PaddleSegModel, self).__init__(runtime_option)
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assert model_format == Frontend.PADDLE, "PaddleSeg only support model format of Frontend.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 with_softmax(self):
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return self._model.with_softmax
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@with_softmax.setter
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def with_softmax(self, value):
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assert isinstance(
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value,
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bool), "The value to set `with_softmax` must be type of bool."
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self._model.with_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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