mirror of
				https://github.com/PaddlePaddle/FastDeploy.git
				synced 2025-10-31 11:56:44 +08:00 
			
		
		
		
	 6a368f3448
			
		
	
	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
		
			
				
	
	
		
			86 lines
		
	
	
		
			2.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			86 lines
		
	
	
		
			2.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| // Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
 | |
| //
 | |
| // Licensed under the Apache License, Version 2.0 (the "License");
 | |
| // you may not use this file except in compliance with the License.
 | |
| // You may obtain a copy of the License at
 | |
| //
 | |
| //     http://www.apache.org/licenses/LICENSE-2.0
 | |
| //
 | |
| // Unless required by applicable law or agreed to in writing, software
 | |
| // distributed under the License is distributed on an "AS IS" BASIS,
 | |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 | |
| // See the License for the specific language governing permissions and
 | |
| // limitations under the License.
 | |
| 
 | |
| #include "fastdeploy/vision/common/processors/limit_by_stride.h"
 | |
| 
 | |
| namespace fastdeploy {
 | |
| namespace vision {
 | |
| 
 | |
| bool LimitByStride::ImplByOpenCV(Mat* mat) {
 | |
|   cv::Mat* im = mat->GetOpenCVMat();
 | |
|   int origin_w = im->cols;
 | |
|   int origin_h = im->rows;
 | |
|   int rw = origin_w - origin_w % stride_;
 | |
|   int rh = origin_h - origin_h % stride_;
 | |
|   if (rw == 0) {
 | |
|     rw = stride_;
 | |
|   }
 | |
|   if (rh == 0) {
 | |
|     rh = stride_;
 | |
|   }
 | |
|   if (rw != origin_w || rh != origin_w) {
 | |
|     cv::resize(*im, *im, cv::Size(rw, rh), 0, 0, interp_);
 | |
|     mat->SetWidth(im->cols);
 | |
|     mat->SetHeight(im->rows);
 | |
|   }
 | |
|   return true;
 | |
| }
 | |
| 
 | |
| #ifdef ENABLE_FLYCV
 | |
| bool LimitByStride::ImplByFlyCV(Mat* mat) {
 | |
|   fcv::Mat* im = mat->GetFlyCVMat();
 | |
|   int origin_w = im->width();
 | |
|   int origin_h = im->height();
 | |
|   int rw = origin_w - origin_w % stride_;
 | |
|   int rh = origin_h - origin_h % stride_;
 | |
|   if (rw == 0) {
 | |
|     rw = stride_;
 | |
|   }
 | |
|   if (rh == 0) {
 | |
|     rh = stride_;
 | |
|   }
 | |
|   if (rw != origin_w || rh != origin_h) {
 | |
|     auto interp_method = fcv::InterpolationType::INTER_LINEAR;
 | |
|     if (interp_ == 0) {
 | |
|       interp_method = fcv::InterpolationType::INTER_NEAREST;
 | |
|     } else if (interp_ == 1) {
 | |
|       interp_method = fcv::InterpolationType::INTER_LINEAR;
 | |
|     } else if (interp_ == 2) {
 | |
|       interp_method = fcv::InterpolationType::INTER_CUBIC;
 | |
|     } else if (interp_ == 3) {
 | |
|       interp_method = fcv::InterpolationType::INTER_AREA; 
 | |
|     } else {
 | |
|       FDERROR << "LimitByStride: Only support interp_ be 0/1/2/3 with FlyCV, but "
 | |
|                  "now it's "
 | |
|               << interp_ << "." << std::endl;
 | |
|       return false;
 | |
|     }
 | |
| 
 | |
|     fcv::Mat new_im;
 | |
|     fcv::resize(*im, new_im, fcv::Size(rw, rh), 0, 0, interp_method);
 | |
|     mat->SetMat(new_im);
 | |
|     mat->SetWidth(new_im.width());
 | |
|     mat->SetHeight(new_im.height());
 | |
|   }
 | |
|   return true;
 | |
| }
 | |
| #endif
 | |
| 
 | |
| bool LimitByStride::Run(Mat* mat, int stride, int interp, ProcLib lib) {
 | |
|   auto r = LimitByStride(stride, interp);
 | |
|   return r(mat, lib);
 | |
| }
 | |
| }  // namespace vision
 | |
| }  // namespace fastdeploy
 |