added getDescriptors support into gpu HOG, also added commented test for this feature
This commit is contained in:
@@ -51,9 +51,43 @@ using namespace std;
|
||||
ts->set_failed_test_info(err); \
|
||||
return; }
|
||||
|
||||
struct CV_GpuHogTest : public CvTest
|
||||
struct CV_GpuHogDetectionTest: public CvTest
|
||||
{
|
||||
CV_GpuHogTest() : CvTest( "GPU-HOG", "HOGDescriptor" ) {}
|
||||
CV_GpuHogDetectionTest(): CvTest( "GPU-HOG-detect", "HOGDescriptorDetection" ) {}
|
||||
|
||||
void run(int)
|
||||
{
|
||||
try
|
||||
{
|
||||
cv::Mat img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/road.png");
|
||||
CHECK(!img_rgb.empty(), CvTS::FAIL_MISSING_TEST_DATA);
|
||||
|
||||
#ifdef DUMP
|
||||
f.open((std::string(ts->get_data_path()) + "hog/expected_output.bin").c_str(), std::ios_base::binary);
|
||||
CHECK(f.is_open(), CvTS::FAIL_GENERIC);
|
||||
#else
|
||||
f.open((std::string(ts->get_data_path()) + "hog/expected_output.bin").c_str(), std::ios_base::binary);
|
||||
CHECK(f.is_open(), CvTS::FAIL_MISSING_TEST_DATA);
|
||||
#endif
|
||||
|
||||
// Test on color image
|
||||
cv::Mat img;
|
||||
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
|
||||
test(img);
|
||||
|
||||
// Test on gray image
|
||||
cv::cvtColor(img_rgb, img, CV_BGR2GRAY);
|
||||
test(img);
|
||||
|
||||
f.close();
|
||||
}
|
||||
catch (const cv::Exception& e)
|
||||
{
|
||||
f.close();
|
||||
if (!check_and_treat_gpu_exception(e, ts)) throw;
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
#ifdef DUMP
|
||||
void dump(const cv::Mat& block_hists, const std::vector<cv::Point>& locations)
|
||||
@@ -168,45 +202,115 @@ struct CV_GpuHogTest : public CvTest
|
||||
#endif
|
||||
}
|
||||
|
||||
|
||||
void run(int)
|
||||
{
|
||||
try
|
||||
{
|
||||
cv::Mat img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/road.png");
|
||||
CHECK(!img_rgb.empty(), CvTS::FAIL_MISSING_TEST_DATA);
|
||||
|
||||
#ifdef DUMP
|
||||
f.open((std::string(ts->get_data_path()) + "hog/expected_output.bin").c_str(), std::ios_base::binary);
|
||||
CHECK(f.is_open(), CvTS::FAIL_GENERIC);
|
||||
#else
|
||||
f.open((std::string(ts->get_data_path()) + "hog/expected_output.bin").c_str(), std::ios_base::binary);
|
||||
CHECK(f.is_open(), CvTS::FAIL_MISSING_TEST_DATA);
|
||||
#endif
|
||||
|
||||
// Test on color image
|
||||
cv::Mat img;
|
||||
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
|
||||
test(img);
|
||||
|
||||
// Test on gray image
|
||||
cv::cvtColor(img_rgb, img, CV_BGR2GRAY);
|
||||
test(img);
|
||||
|
||||
f.close();
|
||||
}
|
||||
catch (const cv::Exception& e)
|
||||
{
|
||||
f.close();
|
||||
if (!check_and_treat_gpu_exception(e, ts)) throw;
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
#ifdef DUMP
|
||||
std::ofstream f;
|
||||
#else
|
||||
std::ifstream f;
|
||||
#endif
|
||||
|
||||
} gpu_hog_test;
|
||||
} gpu_hog_detection_test;
|
||||
|
||||
|
||||
struct CV_GpuHogGetDescriptorsTest: public CvTest
|
||||
{
|
||||
CV_GpuHogGetDescriptorsTest(): CvTest("GPU-HOG-getDescriptors", "HOGDescriptorGetDescriptors") {}
|
||||
|
||||
void run(int)
|
||||
{
|
||||
try
|
||||
{
|
||||
// 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(), CvTS::FAIL_MISSING_TEST_DATA);
|
||||
|
||||
// Convert to C4
|
||||
cv::Mat img;
|
||||
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
|
||||
cv::gpu::GpuMat d_img(img);
|
||||
|
||||
cv::Size win_size(64, 128);
|
||||
cv::gpu::HOGDescriptor hog(win_size);
|
||||
|
||||
// Convert train images into feature vectors (train table)
|
||||
cv::gpu::GpuMat descriptors;
|
||||
hog.getDescriptors(d_img, win_size, descriptors);
|
||||
|
||||
// Check size of the result train table
|
||||
wins_per_img_x = 3;
|
||||
wins_per_img_y = 2;
|
||||
blocks_per_win_x = 7;
|
||||
blocks_per_win_y = 15;
|
||||
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, CvTS::FAIL_INVALID_OUTPUT);
|
||||
|
||||
/* Now we want to extract the same feature vectors, but from single images. NOTE: results will
|
||||
be defferent, due to border values interpolation. Using of many small images is slower, however we
|
||||
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(), CvTS::FAIL_MISSING_TEST_DATA);
|
||||
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
|
||||
hog.computeBlockHistograms(cv::gpu::GpuMat(img));
|
||||
// Everything is fine with interpolation for left top subimage
|
||||
CHECK(cv::norm(hog.block_hists, descriptors.rowRange(0, 1)) == 0.f, CvTS::FAIL_INVALID_OUTPUT);
|
||||
|
||||
img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/positive2.png");
|
||||
CHECK(!img_rgb.empty(), CvTS::FAIL_MISSING_TEST_DATA);
|
||||
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
|
||||
hog.computeBlockHistograms(cv::gpu::GpuMat(img));
|
||||
compare_inner_parts(hog.block_hists, descriptors.rowRange(1, 2));
|
||||
|
||||
img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/negative1.png");
|
||||
CHECK(!img_rgb.empty(), CvTS::FAIL_MISSING_TEST_DATA);
|
||||
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
|
||||
hog.computeBlockHistograms(cv::gpu::GpuMat(img));
|
||||
compare_inner_parts(hog.block_hists, descriptors.rowRange(2, 3));
|
||||
|
||||
img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/negative2.png");
|
||||
CHECK(!img_rgb.empty(), CvTS::FAIL_MISSING_TEST_DATA);
|
||||
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
|
||||
hog.computeBlockHistograms(cv::gpu::GpuMat(img));
|
||||
compare_inner_parts(hog.block_hists, descriptors.rowRange(3, 4));
|
||||
|
||||
img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/positive3.png");
|
||||
CHECK(!img_rgb.empty(), CvTS::FAIL_MISSING_TEST_DATA);
|
||||
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
|
||||
hog.computeBlockHistograms(cv::gpu::GpuMat(img));
|
||||
compare_inner_parts(hog.block_hists, descriptors.rowRange(4, 5));
|
||||
|
||||
img_rgb = cv::imread(std::string(ts->get_data_path()) + "hog/negative3.png");
|
||||
CHECK(!img_rgb.empty(), CvTS::FAIL_MISSING_TEST_DATA);
|
||||
cv::cvtColor(img_rgb, img, CV_BGR2BGRA);
|
||||
hog.computeBlockHistograms(cv::gpu::GpuMat(img));
|
||||
compare_inner_parts(hog.block_hists, descriptors.rowRange(5, 6));
|
||||
}
|
||||
catch (const cv::Exception& e)
|
||||
{
|
||||
if (!check_and_treat_gpu_exception(e, ts)) throw;
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
// Does not compare border value, as interpolation leads to delta
|
||||
void compare_inner_parts(cv::Mat d1, cv::Mat d2)
|
||||
{
|
||||
for (int i = 1; i < blocks_per_win_y - 1; ++i)
|
||||
for (int j = 1; j < blocks_per_win_x - 1; ++j)
|
||||
for (int k = 0; k < block_hist_size; ++k)
|
||||
{
|
||||
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, CvTS::FAIL_INVALID_OUTPUT)
|
||||
}
|
||||
}
|
||||
|
||||
int wins_per_img_x;
|
||||
int wins_per_img_y;
|
||||
int blocks_per_win_x;
|
||||
int blocks_per_win_y;
|
||||
int block_hist_size;
|
||||
} gpu_hog_get_descriptors_test;
|
||||
|
||||
|
||||
Reference in New Issue
Block a user