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https://github.com/PaddlePaddle/FastDeploy.git
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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>
68 lines
2.5 KiB
C++
68 lines
2.5 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/fastdeploy_model.h"
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#include "fastdeploy/vision/common/result.h"
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#include "fastdeploy/vision/detection/ppdet/model.h"
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#include "fastdeploy/vision/keypointdet/pptinypose/pptinypose.h"
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namespace fastdeploy {
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/** \brief All pipeline model APIs are defined inside this namespace
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*
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*/
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namespace pipeline {
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/*! @brief PPTinyPose Pipeline object used when to load a detection model + pptinypose model
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*/
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class FASTDEPLOY_DECL PPTinyPose {
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public:
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/** \brief Set initialized detection model object and pptinypose model object
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*
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* \param[in] det_model Initialized detection model object
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* \param[in] pptinypose_model Initialized pptinypose model object
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*/
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PPTinyPose(
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fastdeploy::vision::detection::PPYOLOE* det_model,
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fastdeploy::vision::keypointdetection::PPTinyPose* pptinypose_model);
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/** \brief Predict the keypoint detection result for an input image
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*
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* \param[in] img The input image data, comes from cv::imread()
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* \param[in] result The output keypoint detection result will be writen to this structure
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* \return true if the prediction successed, otherwise false
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*/
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virtual bool Predict(cv::Mat* img,
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fastdeploy::vision::KeyPointDetectionResult* result);
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/* \brief The score threshold for detectin model to filter bbox before inputting pptinypose model
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*/
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float detection_model_score_threshold = 0;
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protected:
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fastdeploy::vision::detection::PPYOLOE* detector_ = nullptr;
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fastdeploy::vision::keypointdetection::PPTinyPose* pptinypose_model_ =
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nullptr;
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virtual bool Detect(cv::Mat* img,
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fastdeploy::vision::DetectionResult* result);
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virtual bool KeypointDetect(
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cv::Mat* img, fastdeploy::vision::KeyPointDetectionResult* result,
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fastdeploy::vision::DetectionResult& detection_result);
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};
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} // namespace pipeline
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} // namespace fastdeploy
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