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* [cmake] add faiss.cmake -> pp-shituv2 * [PP-ShiTuV2] Support PP-ShituV2-Det model * [PP-ShiTuV2] Support PP-ShiTuV2-Det model * [PP-ShiTuV2] Add PPShiTuV2Recognizer c++&python support * [PP-ShiTuV2] Add PPShiTuV2Recognizer c++&python support * [Bug Fix] fix ppshitu_pybind error * [benchmark] Add ppshituv2-det c++ benchmark * [examples] Add PP-ShiTuV2 det & rec examples * [vision] Update vision classification result * [Bug Fix] fix trt shapes setting errors
37 lines
1.3 KiB
Python
37 lines
1.3 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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from .contrib.yolov5cls import YOLOv5Cls
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from .ppcls import *
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from .ppshitu import PPShiTuV2Detector
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from .ppshitu import PPShiTuV2Recognizer
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from .ppshitu import PPShiTuV2RecognizerPreprocessor
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from .ppshitu import PPShiTuV2RecognizerPostprocessor
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from .contrib.resnet import ResNet
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PPLCNet = PaddleClasModel
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PPLCNetv2 = PaddleClasModel
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EfficientNet = PaddleClasModel
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GhostNet = PaddleClasModel
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MobileNetv1 = PaddleClasModel
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MobileNetv2 = PaddleClasModel
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MobileNetv3 = PaddleClasModel
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ShuffleNetv2 = PaddleClasModel
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SqueezeNet = PaddleClasModel
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Inceptionv3 = PaddleClasModel
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PPHGNet = PaddleClasModel
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ResNet50vd = PaddleClasModel
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SwinTransformer = PaddleClasModel
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