mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-07 09:31:35 +08:00
b565c15bf7
* Add tinypose model * Add PPTinypose python API * Fix picodet preprocess bug && Add Tinypose examples * Update tinypose example code * Update ppseg preprocess if condition * Update ppseg backend support type * Update permute.h * Update README.md * Update code with comments * Move files dir * Delete premute.cc * Add single model pptinypose * Delete pptinypose old code in ppdet * Code format * Add ppdet + pptinypose pipeline model * Fix bug for posedetpipeline * Change Frontend to ModelFormat * Change Frontend to ModelFormat in __init__.py * Add python posedetpipeline/ * Update pptinypose example dir name * Update README.md * Update README.md * Update README.md * Update README.md * Create keypointdetection_result.md * Create README.md * Create README.md * Create README.md * Update README.md * Update README.md * Create README.md * Fix det_keypoint_unite_infer.py bug * Create README.md * Update PP-Tinypose by comment * Update by comment * Add pipeline directory * Add pptinypose dir * Update pptinypose to align accuracy * Addd warpAffine processor * Update GetCpuMat to GetOpenCVMat * Add comment for pptinypose && pipline * Update docs/main_page.md * Add README.md for pptinypose * Add README for det_keypoint_unite * Remove ENABLE_PIPELINE option * Remove ENABLE_PIPELINE option * Change pptinypose default backend * PP-TinyPose Pipeline support multi PP-Detection models * Update pp-tinypose comment * Update by comments * Add single test example Co-authored-by: Jason <jiangjiajun@baidu.com>
122 lines
3.1 KiB
C++
122 lines
3.1 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/core/fd_tensor.h"
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#include "opencv2/core/core.hpp"
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#ifdef ENABLE_OPENCV_CUDA
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#include "opencv2/core/cuda.hpp"
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#include "opencv2/cudaarithm.hpp"
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#include "opencv2/cudaimgproc.hpp"
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#include "opencv2/cudawarping.hpp"
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#endif
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namespace fcv {
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class Mat;
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} // namespace fcv
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namespace fastdeploy {
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namespace vision {
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enum ProcLib { DEFAULT, OPENCV, FALCONCV};
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enum Layout { HWC, CHW };
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struct FASTDEPLOY_DECL Mat {
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explicit Mat(cv::Mat& mat) {
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cpu_mat = mat;
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layout = Layout::HWC;
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height = cpu_mat.rows;
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width = cpu_mat.cols;
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channels = cpu_mat.channels();
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mat_type = ProcLib::OPENCV;
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}
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// careful if you use this interface
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// this only used if you don't want to write
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// the original data, and write to a new cv::Mat
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// then replace the old cv::Mat of this structure
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void SetMat(const cv::Mat& mat) {
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cpu_mat = mat;
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mat_type = ProcLib::OPENCV;
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}
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inline cv::Mat* GetOpenCVMat() {
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FDASSERT(mat_type == ProcLib::OPENCV, "Met non cv::Mat data structure.");
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return &cpu_mat;
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}
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inline const cv::Mat* GetOpenCVMat() const {
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FDASSERT(mat_type == ProcLib::OPENCV, "Met non cv::Mat data structure.");
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return &cpu_mat;
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}
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#ifdef ENABLE_FALCONCV
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void SetMat(const fcv::Mat& mat) {
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fcv_mat = mat;
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mat_type = Proclib::FALCONCV;
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}
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inline fcv::Mat* GetFalconCVMat() {
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FDASSERT(mat_type == ProcLib::FALCONCV, "Met non fcv::Mat data strucure.");
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return &fcv_mat;
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}
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#endif
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void* Data();
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private:
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int channels;
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int height;
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int width;
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cv::Mat cpu_mat;
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#ifdef ENABLE_FALCONCV
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fcv::Mat fcv_mat;
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#endif
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public:
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template<typename T>
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T* GetMat() {
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return &cpu_mat;
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}
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FDDataType Type();
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int Channels() const { return channels; }
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int Width() const { return width; }
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int Height() const { return height; }
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void SetChannels(int s) { channels = s; }
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void SetWidth(int w) { width = w; }
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void SetHeight(int h) { height = h; }
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// Transfer the vision::Mat to FDTensor
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void ShareWithTensor(FDTensor* tensor);
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// Only support copy to cpu tensor now
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bool CopyToTensor(FDTensor* tensor);
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// debug functions
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// TODO(jiangjiajun) Develop a right process pipeline with c++ is not a easy
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// things
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// Will add more debug function here to help debug processed image
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// This function will print shape / mean of each channels of the Mat
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void PrintInfo(const std::string& flag);
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ProcLib mat_type = ProcLib::OPENCV;
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Layout layout = Layout::HWC;
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};
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Mat CreateFromTensor(const FDTensor& tensor);
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} // namespace vision
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} // namespace fastdeploy
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