mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 08:37:06 +08:00
fc71d79e58
* update .gitignore * Added checking for cmake include dir * fixed missing trt_backend option bug when init from trt * remove un-need data layout and add pre-check for dtype * changed RGB2BRG to BGR2RGB in ppcls model * add model_zoo yolov6 c++/python demo * fixed CMakeLists.txt typos * update yolov6 cpp/README.md * add yolox c++/pybind and model_zoo demo * move some helpers to private * fixed CMakeLists.txt typos * add normalize with alpha and beta * add version notes for yolov5/yolov6/yolox * add copyright to yolov5.cc * revert normalize * fixed some bugs in yolox * Add YOLOv5Face Model support * fixed examples/vision typos * fixed runtime_option print func bugs
45 lines
1.6 KiB
Python
45 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 .fastdeploy_main import Frontend, Backend, FDDataType, TensorInfo, RuntimeOption, Device
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from .fastdeploy_runtime import *
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from . import fastdeploy_main as C
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from . import vision
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from .download import download, download_and_decompress
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def TensorInfoStr(tensor_info):
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message = "TensorInfo(name : '{}', dtype : '{}', shape : '{}')".format(
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tensor_info.name, tensor_info.dtype, tensor_info.shape)
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return message
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def RuntimeOptionStr(runtime_option):
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attrs = dir(runtime_option)
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message = "RuntimeOption(\n"
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for attr in attrs:
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if attr.startswith("__"):
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continue
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if hasattr(getattr(runtime_option, attr), "__call__"):
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continue
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message += " {} : {}\t\n".format(attr, getattr(runtime_option, attr))
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message.strip("\n")
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message += ")"
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return message
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C.TensorInfo.__repr__ = TensorInfoStr
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C.RuntimeOption.__repr__ = RuntimeOptionStr
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