mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
141 lines
3.5 KiB
141 lines
3.5 KiB
#include "perf_precomp.hpp" |
|
|
|
using namespace std; |
|
using namespace std::tr1; |
|
using namespace testing; |
|
using namespace perf; |
|
using namespace cv; |
|
using namespace cv::superres; |
|
using namespace cv::gpu; |
|
|
|
namespace |
|
{ |
|
class OneFrameSource_CPU : public FrameSource |
|
{ |
|
public: |
|
explicit OneFrameSource_CPU(const Mat& frame) : frame_(frame) {} |
|
|
|
void nextFrame(OutputArray frame) |
|
{ |
|
frame.getMatRef() = frame_; |
|
} |
|
|
|
void reset() |
|
{ |
|
} |
|
|
|
private: |
|
Mat frame_; |
|
}; |
|
|
|
class OneFrameSource_GPU : public FrameSource |
|
{ |
|
public: |
|
explicit OneFrameSource_GPU(const GpuMat& frame) : frame_(frame) {} |
|
|
|
void nextFrame(OutputArray frame) |
|
{ |
|
frame.getGpuMatRef() = frame_; |
|
} |
|
|
|
void reset() |
|
{ |
|
} |
|
|
|
private: |
|
GpuMat frame_; |
|
}; |
|
|
|
class ZeroOpticalFlow : public DenseOpticalFlowExt |
|
{ |
|
public: |
|
void calc(InputArray frame0, InputArray, OutputArray flow1, OutputArray flow2) |
|
{ |
|
cv::Size size = frame0.size(); |
|
|
|
if (!flow2.needed()) |
|
{ |
|
flow1.create(size, CV_32FC2); |
|
|
|
if (flow1.kind() == cv::_InputArray::GPU_MAT) |
|
flow1.getGpuMatRef().setTo(cv::Scalar::all(0)); |
|
else |
|
flow1.getMatRef().setTo(cv::Scalar::all(0)); |
|
} |
|
else |
|
{ |
|
flow1.create(size, CV_32FC1); |
|
flow2.create(size, CV_32FC1); |
|
|
|
if (flow1.kind() == cv::_InputArray::GPU_MAT) |
|
flow1.getGpuMatRef().setTo(cv::Scalar::all(0)); |
|
else |
|
flow1.getMatRef().setTo(cv::Scalar::all(0)); |
|
|
|
if (flow2.kind() == cv::_InputArray::GPU_MAT) |
|
flow2.getGpuMatRef().setTo(cv::Scalar::all(0)); |
|
else |
|
flow2.getMatRef().setTo(cv::Scalar::all(0)); |
|
} |
|
} |
|
|
|
void collectGarbage() |
|
{ |
|
} |
|
}; |
|
} |
|
|
|
PERF_TEST_P(Size_MatType, SuperResolution_BTVL1, |
|
Combine(Values(szSmall64, szSmall128), |
|
Values(MatType(CV_8UC1), MatType(CV_8UC3)))) |
|
{ |
|
declare.time(5 * 60); |
|
|
|
const Size size = get<0>(GetParam()); |
|
const int type = get<1>(GetParam()); |
|
|
|
Mat frame(size, type); |
|
declare.in(frame, WARMUP_RNG); |
|
|
|
const int scale = 2; |
|
const int iterations = 50; |
|
const int temporalAreaRadius = 1; |
|
Ptr<DenseOpticalFlowExt> opticalFlow(new ZeroOpticalFlow); |
|
|
|
if (PERF_RUN_GPU()) |
|
{ |
|
Ptr<SuperResolution> superRes = createSuperResolution_BTVL1_GPU(); |
|
|
|
superRes->set("scale", scale); |
|
superRes->set("iterations", iterations); |
|
superRes->set("temporalAreaRadius", temporalAreaRadius); |
|
superRes->set("opticalFlow", opticalFlow); |
|
|
|
superRes->setInput(new OneFrameSource_GPU(GpuMat(frame))); |
|
|
|
GpuMat dst; |
|
superRes->nextFrame(dst); |
|
|
|
TEST_CYCLE_N(10) superRes->nextFrame(dst); |
|
|
|
GPU_SANITY_CHECK(dst); |
|
} |
|
else |
|
{ |
|
Ptr<SuperResolution> superRes = createSuperResolution_BTVL1(); |
|
|
|
superRes->set("scale", scale); |
|
superRes->set("iterations", iterations); |
|
superRes->set("temporalAreaRadius", temporalAreaRadius); |
|
superRes->set("opticalFlow", opticalFlow); |
|
|
|
superRes->setInput(new OneFrameSource_CPU(frame)); |
|
|
|
Mat dst; |
|
superRes->nextFrame(dst); |
|
|
|
TEST_CYCLE_N(10) superRes->nextFrame(dst); |
|
|
|
CPU_SANITY_CHECK(dst); |
|
} |
|
}
|
|
|