mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 16:48:03 +08:00
d3d914856d
* norm and permute batch processing * move cache to mat, batch processors * get batched tensor logic, resize on cpu logic * fix cpu compile error * remove vector mat api * nits * add comments * nits * fix batch size * move initial resize on cpu option to use_cuda api * fix pybind * processor manager pybind * rename mat and matbatch * move initial resize on cpu to ppcls preprocessor --------- Co-authored-by: Jason <jiangjiajun@baidu.com>
37 lines
1.2 KiB
Python
37 lines
1.2 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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class ProcessorManager:
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def __init__(self):
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self._manager = None
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def run(self, input_ims):
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"""Process input image
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:param: input_ims: (list of numpy.ndarray) The input images
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:return: list of FDTensor
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"""
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return self._manager.run(input_ims)
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def use_cuda(self, enable_cv_cuda=False, gpu_id=-1):
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"""Use CUDA processors
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:param: enable_cv_cuda: Ture: use CV-CUDA, False: use CUDA only
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:param: gpu_id: GPU device id
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"""
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return self._manager.use_cuda(enable_cv_cuda, gpu_id)
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