mirror of
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>
67 lines
1.9 KiB
C++
67 lines
1.9 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/base.h"
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namespace fastdeploy {
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namespace vision {
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class WarpAffine : public Processor {
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public:
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WarpAffine(const cv::Mat& trans_matrix,
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int width, int height,
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int interp = 1,
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int border_mode = 0,
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const cv::Scalar& borderValue = cv::Scalar()) {
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trans_matrix_ = trans_matrix;
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width_ = width;
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height_ = height;
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interp_ = interp;
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border_mode_ = border_mode;
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borderValue_ = borderValue;
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}
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bool ImplByOpenCV(Mat* mat);
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std::string Name() { return "WarpAffine"; }
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bool SetTransformMatrix(const cv::Mat &trans_matrix) {
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trans_matrix_ = trans_matrix;
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return true;
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}
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std::tuple<int, int> GetWidthAndHeight() {
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return std::make_tuple(width_, height_);
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}
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static bool Run(Mat* mat,
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const cv::Mat& trans_matrix,
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int width, int height,
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int interp = 1,
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int border_mode = 0,
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const cv::Scalar& borderValue = cv::Scalar(),
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ProcLib lib = ProcLib::OPENCV);
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private:
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cv::Mat trans_matrix_;
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int width_;
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int height_;
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int interp_;
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int border_mode_;
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cv::Scalar borderValue_;
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};
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} // namespace vision
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} // namespace fastdeploy
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