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c8d6c8244e
* add yolo cuda preprocessing * cmake build cuda src * yolov5 support cuda preprocessing * yolov5 cuda preprocessing configurable * yolov5 update get mat data api * yolov5 check cuda preprocess args * refactor cuda function name * yolo cuda preprocess padding value configurable * yolov5 release cuda memory * cuda preprocess pybind api update * move use_cuda_preprocessing option to yolov5 model * yolov5lite cuda preprocessing * yolov6 cuda preprocessing * yolov7 cuda preprocessing * yolov7_e2e cuda preprocessing * remove cuda preprocessing in runtime option * refine log and cmake variable name * fix model runtime ptr type Co-authored-by: Jason <jiangjiajun@baidu.com>
49 lines
2.3 KiB
C++
49 lines
2.3 KiB
C++
// 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 BindYOLOv5Lite(pybind11::module& m) {
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pybind11::class_<vision::detection::YOLOv5Lite, FastDeployModel>(m,
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"YOLOv5Lite")
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.def(pybind11::init<std::string, std::string, RuntimeOption,
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ModelFormat>())
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.def("predict",
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[](vision::detection::YOLOv5Lite& self, pybind11::array& data,
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float conf_threshold, float nms_iou_threshold) {
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auto mat = PyArrayToCvMat(data);
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vision::DetectionResult res;
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self.Predict(&mat, &res, conf_threshold, nms_iou_threshold);
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return res;
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})
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.def("use_cuda_preprocessing",
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[](vision::detection::YOLOv5Lite& self, int max_image_size) {
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self.UseCudaPreprocessing(max_image_size);
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})
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.def_readwrite("size", &vision::detection::YOLOv5Lite::size)
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.def_readwrite("padding_value",
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&vision::detection::YOLOv5Lite::padding_value)
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.def_readwrite("is_mini_pad", &vision::detection::YOLOv5Lite::is_mini_pad)
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.def_readwrite("is_no_pad", &vision::detection::YOLOv5Lite::is_no_pad)
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.def_readwrite("is_scale_up", &vision::detection::YOLOv5Lite::is_scale_up)
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.def_readwrite("stride", &vision::detection::YOLOv5Lite::stride)
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.def_readwrite("max_wh", &vision::detection::YOLOv5Lite::max_wh)
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.def_readwrite("anchor_config",
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&vision::detection::YOLOv5Lite::anchor_config)
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.def_readwrite("is_decode_exported",
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&vision::detection::YOLOv5Lite::is_decode_exported);
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}
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} // namespace fastdeploy
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