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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>
71 lines
2.5 KiB
C++
71 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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#include "fastdeploy/pipeline/pptinypose/pipeline.h"
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namespace fastdeploy {
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namespace pipeline {
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PPTinyPose::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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: detector_(det_model), pptinypose_model_(pptinypose_model) {}
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bool PPTinyPose::Detect(
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cv::Mat* img, fastdeploy::vision::DetectionResult* detection_res) {
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if (!detector_->Predict(img, detection_res)) {
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FDERROR << "There's a error while detectiong human box in image."
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<< std::endl;
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return false;
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}
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return true;
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}
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bool PPTinyPose::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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if (!pptinypose_model_->Predict(img, result, detection_result)) {
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FDERROR << "There's a error while detecting keypoint in image "
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<< std::endl;
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return false;
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}
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return true;
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}
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bool PPTinyPose::Predict(
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cv::Mat* img, fastdeploy::vision::KeyPointDetectionResult* result) {
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result->Clear();
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fastdeploy::vision::DetectionResult detection_res;
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if (nullptr != detector_ && !Detect(img, &detection_res)) {
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FDERROR << "Failed to detect image." << std::endl;
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return false;
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}
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fastdeploy::vision::DetectionResult filter_detection_res;
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for (size_t i = 0; i < detection_res.boxes.size(); ++i) {
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if (detection_res.scores[i] > detection_model_score_threshold) {
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filter_detection_res.boxes.push_back(detection_res.boxes[i]);
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filter_detection_res.scores.push_back(detection_res.scores[i]);
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filter_detection_res.label_ids.push_back(detection_res.label_ids[i]);
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}
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}
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if (nullptr != pptinypose_model_ &&
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!KeypointDetect(img, result, filter_detection_res)) {
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FDERROR << "Failed to detect keypoint in image " << std::endl;
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return false;
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}
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return true;
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};
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} // namespace pipeline
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} // namespace fastdeploy
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