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1c115bb237
* cpp example run success * add landmarks * fix reviewed problem * add pybind * add readme in examples * fix reviewed problem * new file: tests/models/test_centerface.py * fix reviewed problem 230202
80 lines
2.6 KiB
C++
80 lines
2.6 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/vision/facedet/contrib/centerface/preprocessor.h"
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#include "fastdeploy/function/concat.h"
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#include "fastdeploy/vision/common/processors/mat.h"
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namespace fastdeploy {
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namespace vision {
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namespace facedet {
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CenterFacePreprocessor::CenterFacePreprocessor() {
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size_ = {640, 640};
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}
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bool CenterFacePreprocessor::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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if (images->size() == 0) {
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FDERROR << "The size of input images should be greater than 0." << std::endl;
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return false;
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}
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ims_info->resize(images->size());
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outputs->resize(1);
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std::vector<FDTensor> tensors(images->size());
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for (size_t i = 0; i < images->size(); i++) {
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if (!Preprocess(&(*images)[i], &tensors[i], &(*ims_info)[i])) {
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FDERROR << "Failed to preprocess input image." << std::endl;
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return false;
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}
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}
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if (tensors.size() == 1) {
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(*outputs)[0] = std::move(tensors[0]);
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} else {
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function::Concat(tensors, &((*outputs)[0]), 0);
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}
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return true;
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}
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bool CenterFacePreprocessor::Preprocess(FDMat* mat, FDTensor* output,
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std::map<std::string, std::array<float, 2>>* im_info){
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// Record the shape of image and the shape of preprocessed image
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(*im_info)["input_shape"] = {static_cast<float>(mat->Height()),
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static_cast<float>(mat->Width())};
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// centerface's preprocess steps
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// 1. Resize
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// 2. ConvertAndPermute
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Resize::Run(mat, size_[0], size_[1]);
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std::vector<float> alpha = {1.0f, 1.0f, 1.0f};
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std::vector<float> beta = {0.0f, 0.0f, 0.0f};
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ConvertAndPermute::Run(mat, alpha, beta,true);
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// Record output shape of preprocessed image
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(*im_info)["output_shape"] = {static_cast<float>(mat->Height()),
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static_cast<float>(mat->Width())};
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mat->ShareWithTensor(output);
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output->ExpandDim(0);
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return true;
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}
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} // namespace facedet
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} // namespace vision
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} // namespacefastdeploy
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