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ce4867d14e
* 测试 * delete test * add yolov7-face * fit vision.h * add yolov7-face test * fit: yolov7-face infer.cc * fit * fit Yolov7-face Cmakelist * fit yolov7Face.cc * add yolov7-face pybind * add yolov7-face python infer * feat yolov7-face pybind * feat yolov7-face format error * feat yolov7face_pybind error * feat add yolov7face-pybind to facedet-pybind * same as before * same sa before * feat __init__.py * add yolov7face.py * feat yolov7face.h ignore "," * feat .py * fit yolov7face.py * add yolov7face test teadme file * add test file * fit postprocess * delete remain annotation * fit preview * fit yolov7facepreprocessor * fomat code * fomat code * fomat code * fit format error and confthreshold and nmsthres * fit confthreshold and nmsthres * fit test-yolov7-face * fit test_yolov7face * fit review * fit ci error Co-authored-by: kongbohua <kongbh2022@stu.pku.edu.cn> Co-authored-by: CoolCola <49013063+kongbohua@users.noreply.github.com>
101 lines
3.2 KiB
C++
101 lines
3.2 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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#pragma once
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#include "fastdeploy/vision/common/processors/transform.h"
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#include "fastdeploy/vision/common/result.h"
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namespace fastdeploy {
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namespace vision {
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namespace facedet {
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class FASTDEPLOY_DECL Yolov7FacePreprocessor{
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public:
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/** \brief Create a preprocessor instance for YOLOv7Face serials model
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*/
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Yolov7FacePreprocessor();
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/** \brief Process the input image and prepare input tensors for runtime
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*
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* \param[in] images The input image data list, all the elements are returned by cv::imread()
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* \param[in] outputs The output tensors which will feed in runtime
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* \param[in] ims_info The shape info list, record input_shape and output_shape
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* \ret
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*/
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bool Run(std::vector<FDMat>* images, std::vector<FDTensor>* outputs,
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std::vector<std::map<std::string, std::array<float, 2>>>* ims_info);
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/// Set target size, tuple of (width, height), default size = {640, 640}
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void SetSize(const std::vector<int>& size) { size_ = size; }
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/// Get target size, tuple of (width, height), default size = {640, 640}
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std::vector<int> GetSize() const { return size_; }
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/// Set padding value, size should be the same as channels
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void SetPaddingColorValue(const std::vector<float>& padding_color_value) {
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padding_color_value_ = padding_color_value;
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}
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/// Get padding value, size should be the same as channels
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std::vector<float> GetPaddingColorValue() const {
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return padding_color_value_;
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}
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/// Set is_scale_up, if is_scale_up is false, the input image only
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/// can be zoom out, the maximum resize scale cannot exceed 1.0, default true
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void SetScaleUp(bool is_scale_up) {
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is_scale_up_ = is_scale_up;
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}
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/// Get is_scale_up, default true
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bool GetScaleUp() const { return is_scale_up_; }
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protected:
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bool Preprocess(FDMat * mat, FDTensor* output,
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std::map<std::string, std::array<float, 2>>* im_info);
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void LetterBox(FDMat* mat);
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// target size, tuple of (width, height), default size = {640, 640}
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std::vector<int> size_;
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// padding value, size should be the same as channels
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std::vector<float> padding_color_value_;
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// only pad to the minimum rectange which height and width is times of stride
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bool is_mini_pad_;
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// while is_mini_pad = false and is_no_pad = true,
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// will resize the image to the set size
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bool is_no_pad_;
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// if is_scale_up is false, the input image only can be zoom out,
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// the maximum resize scale cannot exceed 1.0
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bool is_scale_up_;
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// padding stride, for is_mini_pad
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int stride_;
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// for offseting the boxes by classes when using NMS
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float max_wh_;
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};
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} // namespace facedet
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} // namespace vision
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} // namespace fastdeploy
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