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refactored gpu module tests

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This commit is contained in:
Vladislav Vinogradov
2011-06-29 10:14:16 +00:00
parent 6e3142f04b
commit d1b4b5f0de
37 changed files with 7383 additions and 5790 deletions
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143
modules/gpu/test/test_hog.cpp
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@@ -40,32 +40,24 @@
//M*/
#include "test_precomp.hpp"
#include <fstream>
using namespace std;
#ifdef HAVE_CUDA
//#define DUMP
#define CHECK(pred, err) if (!(pred)) { \
ts->printf(cvtest::TS::CONSOLE, "Fail: \"%s\" at line: %d\n", #pred, __LINE__); \
ts->set_failed_test_info(err); \
return; }
struct CV_GpuHogDetectTestRunner: cv::gpu::HOGDescriptor
struct CV_GpuHogDetectTestRunner : cv::gpu::HOGDescriptor
{
CV_GpuHogDetectTestRunner(cvtest::TS* ts_): ts(ts_) {}
void run(int)
void run()
{
cv::Mat img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/road.png");
CHECK(!img_rgb.empty(), cvtest::TS::FAIL_MISSING_TEST_DATA);
cv::Mat img_rgb = readImage("hog/road.png");
ASSERT_TRUE(!img_rgb.empty());
#ifdef DUMP
f.open((std::string(ts->get_data_path()) + "hog/expected_output.bin").c_str(), std::ios_base::binary);
CHECK(f.is_open(), cvtest::TS::FAIL_GENERIC);
f.open((std::string(cvtest::TS::ptr()->get_data_path()) + "hog/expected_output.bin").c_str(), std::ios_base::binary);
ASSERT_TRUE(f.is_open());
#else
f.open((std::string(ts->get_data_path()) + "hog/expected_output.bin").c_str(), std::ios_base::binary);
CHECK(f.is_open(), cvtest::TS::FAIL_MISSING_TEST_DATA);
f.open((std::string(cvtest::TS::ptr()->get_data_path()) + "hog/expected_output.bin").c_str(), std::ios_base::binary);
ASSERT_TRUE(f.is_open());
#endif
// Test on color image
@@ -78,7 +70,6 @@ struct CV_GpuHogDetectTestRunner: cv::gpu::HOGDescriptor
test(img);
f.close();
}
#ifdef DUMP
@@ -107,24 +98,24 @@ struct CV_GpuHogDetectTestRunner: cv::gpu::HOGDescriptor
f.read((char*)&rows, sizeof(rows));
f.read((char*)&cols, sizeof(cols));
CHECK(rows == block_hists.rows, cvtest::TS::FAIL_INVALID_OUTPUT);
CHECK(cols == block_hists.cols, cvtest::TS::FAIL_INVALID_OUTPUT);
ASSERT_EQ(rows, block_hists.rows);
ASSERT_EQ(cols, block_hists.cols);
for (int i = 0; i < block_hists.rows; ++i)
{
for (int j = 0; j < block_hists.cols; ++j)
{
float val;
f.read((char*)&val, sizeof(val));
CHECK(fabs(val - block_hists.at<float>(i, j)) < 1e-3f, cvtest::TS::FAIL_INVALID_OUTPUT);
ASSERT_NEAR(val, block_hists.at<float>(i, j), 1e-3);
}
}
f.read((char*)&nlocations, sizeof(nlocations));
CHECK(nlocations == static_cast<int>(locations.size()), cvtest::TS::FAIL_INVALID_OUTPUT);
ASSERT_EQ(nlocations, static_cast<int>(locations.size()));
for (int i = 0; i < nlocations; ++i)
{
cv::Point location;
f.read((char*)&location, sizeof(location));
CHECK(location == locations[i], cvtest::TS::FAIL_INVALID_OUTPUT);
ASSERT_EQ(location, locations[i]);
}
}
#endif
@@ -176,39 +167,47 @@ struct CV_GpuHogDetectTestRunner: cv::gpu::HOGDescriptor
#else
std::ifstream f;
#endif
cvtest::TS* ts;
};
struct CV_GpuHogDetectTest: cvtest::BaseTest
struct HogDetect : testing::TestWithParam<cv::gpu::DeviceInfo>
{
CV_GpuHogDetectTest() {}
void run(int i)
cv::gpu::DeviceInfo devInfo;
virtual void SetUp()
{
CV_GpuHogDetectTestRunner runner(ts);
runner.run(i);
devInfo = GetParam();
cv::gpu::setDevice(devInfo.deviceID());
}
};
TEST(HOG, detect_accuracy) { CV_GpuHogDetectTest test; test.safe_run(); }
struct CV_GpuHogGetDescriptorsTestRunner: cv::gpu::HOGDescriptor
TEST_P(HogDetect, Accuracy)
{
CV_GpuHogGetDescriptorsTestRunner(cvtest::TS* ts_): HOGDescriptor(cv::Size(64, 128)), ts(ts_) {}
PRINT_PARAM(devInfo);
void run(int)
ASSERT_NO_THROW(
CV_GpuHogDetectTestRunner runner;
runner.run();
);
}
INSTANTIATE_TEST_CASE_P(HOG, HogDetect, testing::ValuesIn(devices()));
struct CV_GpuHogGetDescriptorsTestRunner : cv::gpu::HOGDescriptor
{
CV_GpuHogGetDescriptorsTestRunner(): cv::gpu::HOGDescriptor(cv::Size(64, 128)) {}
void run()
{
// Load image (e.g. train data, composed from windows)
cv::Mat img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/train_data.png");
CHECK(!img_rgb.empty(), cvtest::TS::FAIL_MISSING_TEST_DATA);
cv::Mat img_rgb = readImage("hog/train_data.png");
ASSERT_TRUE(!img_rgb.empty());
// Convert to C4
cv::Mat img;
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
cv::gpu::GpuMat d_img(img);
cv::gpu::GpuMat d_img(img);
// Convert train images into feature vectors (train table)
cv::gpu::GpuMat descriptors, descriptors_by_cols;
@@ -223,7 +222,7 @@ struct CV_GpuHogGetDescriptorsTestRunner: cv::gpu::HOGDescriptor
block_hist_size = 36;
cv::Size descr_size_expected = cv::Size(blocks_per_win_x * blocks_per_win_y * block_hist_size,
wins_per_img_x * wins_per_img_y);
CHECK(descriptors.size() == descr_size_expected, cvtest::TS::FAIL_INVALID_OUTPUT);
ASSERT_EQ(descr_size_expected, descriptors.size());
// Check both formats of output descriptors are handled correctly
cv::Mat dr(descriptors);
@@ -235,8 +234,8 @@ struct CV_GpuHogGetDescriptorsTestRunner: cv::gpu::HOGDescriptor
for (int y = 0; y < blocks_per_win_y; ++y)
for (int x = 0; x < blocks_per_win_x; ++x)
for (int k = 0; k < block_hist_size; ++k)
CHECK(l[(y * blocks_per_win_x + x) * block_hist_size + k] ==
r[(x * blocks_per_win_y + y) * block_hist_size + k], cvtest::TS::FAIL_INVALID_OUTPUT);
ASSERT_EQ(l[(y * blocks_per_win_x + x) * block_hist_size + k],
r[(x * blocks_per_win_y + y) * block_hist_size + k]);
}
/* Now we want to extract the same feature vectors, but from single images. NOTE: results will
@@ -244,39 +243,39 @@ struct CV_GpuHogGetDescriptorsTestRunner: cv::gpu::HOGDescriptor
wont't call getDescriptors and will use computeBlockHistograms instead of. computeBlockHistograms
works good, it can be checked in the gpu_hog sample */
img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/positive1.png");
CHECK(!img_rgb.empty(), cvtest::TS::FAIL_MISSING_TEST_DATA);
img_rgb = readImage("hog/positive1.png");
ASSERT_TRUE(!img_rgb.empty());
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
computeBlockHistograms(cv::gpu::GpuMat(img));
// Everything is fine with interpolation for left top subimage
CHECK(cv::norm((cv::Mat)block_hists, (cv::Mat)descriptors.rowRange(0, 1)) == 0.f, cvtest::TS::FAIL_INVALID_OUTPUT);
ASSERT_EQ(0.0, cv::norm((cv::Mat)block_hists, (cv::Mat)descriptors.rowRange(0, 1)));
img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/positive2.png");
CHECK(!img_rgb.empty(), cvtest::TS::FAIL_MISSING_TEST_DATA);
img_rgb = readImage("hog/positive2.png");
ASSERT_TRUE(!img_rgb.empty());
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
computeBlockHistograms(cv::gpu::GpuMat(img));
compare_inner_parts(block_hists, descriptors.rowRange(1, 2));
img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/negative1.png");
CHECK(!img_rgb.empty(), cvtest::TS::FAIL_MISSING_TEST_DATA);
img_rgb = readImage("hog/negative1.png");
ASSERT_TRUE(!img_rgb.empty());
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
computeBlockHistograms(cv::gpu::GpuMat(img));
compare_inner_parts(block_hists, descriptors.rowRange(2, 3));
img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/negative2.png");
CHECK(!img_rgb.empty(), cvtest::TS::FAIL_MISSING_TEST_DATA);
img_rgb = readImage("hog/negative2.png");
ASSERT_TRUE(!img_rgb.empty());
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
computeBlockHistograms(cv::gpu::GpuMat(img));
compare_inner_parts(block_hists, descriptors.rowRange(3, 4));
img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/positive3.png");
CHECK(!img_rgb.empty(), cvtest::TS::FAIL_MISSING_TEST_DATA);
img_rgb = readImage("hog/positive3.png");
ASSERT_TRUE(!img_rgb.empty());
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
computeBlockHistograms(cv::gpu::GpuMat(img));
compare_inner_parts(block_hists, descriptors.rowRange(4, 5));
img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/negative3.png");
CHECK(!img_rgb.empty(), cvtest::TS::FAIL_MISSING_TEST_DATA);
img_rgb = readImage("hog/negative3.png");
ASSERT_TRUE(!img_rgb.empty());
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
computeBlockHistograms(cv::gpu::GpuMat(img));
compare_inner_parts(block_hists, descriptors.rowRange(5, 6));
@@ -291,7 +290,7 @@ struct CV_GpuHogGetDescriptorsTestRunner: cv::gpu::HOGDescriptor
{
float a = d1.at<float>(0, (i * blocks_per_win_x + j) * block_hist_size);
float b = d2.at<float>(0, (i * blocks_per_win_x + j) * block_hist_size);
CHECK(a == b, cvtest::TS::FAIL_INVALID_OUTPUT)
ASSERT_FLOAT_EQ(a, b);
}
}
@@ -300,20 +299,30 @@ struct CV_GpuHogGetDescriptorsTestRunner: cv::gpu::HOGDescriptor
int blocks_per_win_x;
int blocks_per_win_y;
int block_hist_size;
cvtest::TS* ts;
};
struct CV_GpuHogGetDescriptorsTest: cvtest::BaseTest
struct HogGetDescriptors : testing::TestWithParam<cv::gpu::DeviceInfo>
{
CV_GpuHogGetDescriptorsTest() {}
void run(int i)
cv::gpu::DeviceInfo devInfo;
virtual void SetUp()
{
CV_GpuHogGetDescriptorsTestRunner runner(ts);
runner.run(i);
devInfo = GetParam();
cv::gpu::setDevice(devInfo.deviceID());
}
};
TEST(HOG, descriptors_accuracy) { CV_GpuHogGetDescriptorsTest test; test.safe_run(); }
TEST_P(HogGetDescriptors, Accuracy)
{
PRINT_PARAM(devInfo);
ASSERT_NO_THROW(
CV_GpuHogGetDescriptorsTestRunner runner;
runner.run();
);
}
INSTANTIATE_TEST_CASE_P(HOG, HogGetDescriptors, testing::ValuesIn(devices()));
#endif // HAVE_CUDA