mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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aa6931bee9
* add onnx_ort_runtime demo * rm in requirements * support batch eval * fixed MattingResults bug * move assignment for DetectionResult * integrated x2paddle * add model convert readme * update readme * re-lint * add processor api * Add MattingResult Free * change valid_cpu_backends order * add ppocr benchmark * mv bs from 64 to 32 * fixed quantize.md * fixed quantize bugs * Add Monitor for benchmark * update mem monitor * Set trt_max_batch_size default 1 * fixed ocr benchmark bug * support yolov5 in serving * Fixed yolov5 serving * Fixed postprocess * update yolov5 to 7.0 * add poros runtime demos * update readme * Support poros abi=1 * rm useless note * deal with comments * support pp_trt for ppseg * fixed symlink problem * Add is_mini_pad and stride for yolov5 * Add yolo series for paddle format * fixed bugs * fixed bug * support yolov5seg * fixed bug * refactor yolov5seg * fixed bug * mv Mask int32 to uint8 * add yolov5seg example * rm log info * fixed code style * add yolov5seg example in python * fixed dtype bug * update note * deal with comments * get sorted index * add yolov5seg test case * Add GPL-3.0 License * add round func * deal with comments * deal with commens Co-authored-by: Jason <jiangjiajun@baidu.com>
53 lines
1.9 KiB
C++
Executable File
53 lines
1.9 KiB
C++
Executable File
// 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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#include "fastdeploy/pybind/main.h"
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namespace fastdeploy {
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void BindYOLOv7(pybind11::module& m);
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void BindScaledYOLOv4(pybind11::module& m);
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void BindYOLOR(pybind11::module& m);
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void BindYOLOv6(pybind11::module& m);
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void BindYOLOv5Lite(pybind11::module& m);
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void BindYOLOv5(pybind11::module& m);
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void BindYOLOv5Seg(pybind11::module& m);
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void BindFastestDet(pybind11::module& m);
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void BindYOLOX(pybind11::module& m);
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void BindNanoDetPlus(pybind11::module& m);
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void BindPPDet(pybind11::module& m);
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void BindYOLOv7End2EndTRT(pybind11::module& m);
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void BindYOLOv7End2EndORT(pybind11::module& m);
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void BindRKYOLO(pybind11::module& m);
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void BindDetection(pybind11::module& m) {
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auto detection_module =
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m.def_submodule("detection", "Image object detection models.");
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BindPPDet(detection_module);
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BindYOLOv7(detection_module);
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BindScaledYOLOv4(detection_module);
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BindYOLOR(detection_module);
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BindYOLOv6(detection_module);
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BindYOLOv5Lite(detection_module);
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BindYOLOv5(detection_module);
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BindYOLOv5Seg(detection_module);
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BindFastestDet(detection_module);
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BindYOLOX(detection_module);
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BindNanoDetPlus(detection_module);
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BindYOLOv7End2EndTRT(detection_module);
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BindYOLOv7End2EndORT(detection_module);
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BindRKYOLO(detection_module);
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}
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} // namespace fastdeploy
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