mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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6a368f3448
* [FlyCV] Add global SetProcLibCpuNumThreads method * [Android] Support segmentation and facedet in Android * [Android] add JNI instance check to j_runtime_option_obj * [Model] fixed ppseg flycv resize error * [FlyCV] fix FlyCV resize flags * [cmake] remove un-need lite compile option * [Android] add PaddleSegModel JNI and fix some bugs * [Android] bind PaddleSegModel via JNI * [Android] bind VisSegmentation via JNI * [Android] bind YOLOv5Face and SCRFD via JNI * [Android] fix NewJavaFaceDetectionResultFromCxx error
93 lines
3.0 KiB
C++
93 lines
3.0 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/common/processors/limit_short.h"
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namespace fastdeploy {
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namespace vision {
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bool LimitShort::ImplByOpenCV(Mat* mat) {
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cv::Mat* im = mat->GetOpenCVMat();
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int origin_w = im->cols;
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int origin_h = im->rows;
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int im_size_min = std::min(origin_w, origin_h);
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int target = im_size_min;
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if (max_short_ > 0 && im_size_min > max_short_) {
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target = max_short_;
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} else if (min_short_ > 0 && im_size_min < min_short_) {
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target = min_short_;
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}
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double scale = -1.f;
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if (target != im_size_min) {
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scale = static_cast<double>(target) / static_cast<double>(im_size_min);
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}
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if (fabs(scale - 1.0) > 1e-06) {
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cv::resize(*im, *im, cv::Size(), scale, scale, interp_);
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mat->SetWidth(im->cols);
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mat->SetHeight(im->rows);
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}
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return true;
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}
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#ifdef ENABLE_FLYCV
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bool LimitShort::ImplByFlyCV(Mat* mat) {
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fcv::Mat* im = mat->GetFlyCVMat();
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int origin_w = im->width();
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int origin_h = im->height();
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int im_size_min = std::min(origin_w, origin_h);
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int target = im_size_min;
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if (max_short_ > 0 && im_size_min > max_short_) {
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target = max_short_;
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} else if (min_short_ > 0 && im_size_min < min_short_) {
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target = min_short_;
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}
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double scale = -1.f;
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if (target != im_size_min) {
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scale = static_cast<double>(target) / static_cast<double>(im_size_min);
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}
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if (fabs(scale - 1.0) > 1e-06) {
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auto interp_method = fcv::InterpolationType::INTER_LINEAR;
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if (interp_ == 0) {
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interp_method = fcv::InterpolationType::INTER_NEAREST;
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} else if (interp_ == 1) {
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interp_method = fcv::InterpolationType::INTER_LINEAR;
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} else if (interp_ == 2) {
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interp_method = fcv::InterpolationType::INTER_CUBIC;
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} else if (interp_ == 3) {
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interp_method = fcv::InterpolationType::INTER_AREA;
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} else {
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FDERROR << "LimitByShort: Only support interp_ be 0/1/2/3 with FlyCV, but "
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"now it's "
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<< interp_ << "." << std::endl;
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return false;
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}
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fcv::Mat new_im;
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fcv::resize(*im, new_im, fcv::Size(), scale, scale, interp_method);
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mat->SetMat(new_im);
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mat->SetWidth(new_im.width());
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mat->SetHeight(new_im.height());
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}
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return true;
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}
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#endif
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bool LimitShort::Run(Mat* mat, int max_short, int min_short, int interp,
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ProcLib lib) {
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auto l = LimitShort(max_short, min_short, interp);
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return l(mat, lib);
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}
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} // namespace vision
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} // namespace fastdeploy
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