komrad36 / clatch Goto Github PK

Hi,

I'm trying to use the CUDA LATCH processing logic described in the main.cpp file to compare 2 different images for matching.

Objective is to use Brute Force Hamming (Any Binary comparator) to identify the matches between the 2 host descriptors obtained from image 1 and 2 respectively. For KNNMatch to work it expects the data type to be either CV_8UC1/CV_32F.

To use KNNmatch matcher for comparison, I made a Mat object explicitly from the unit64 host descriptor. Conversion of unit64 to either 8U/32F creating data loss so that the KNNMatcher is failing to identify matches across descriptors.

Would like to get your suggestion on how would I convert the unit64 host descriptor to 8U/32F without data loss so that I use any binary comparator to work.

Kindly advice.

std::cout << "Desc 1 " << endl;
uint64_t** tempDesc1 = new uint64_t*[kps1.size()];
int nMark1 = 0;
for (int j=0; j<kps1.size(); j++)
{
    tempDesc1[j] = new uint64_t[32];
    for (int k = 0; k < 8; k++, nMark1++)
        tempDesc1[j][k] = h_GPUdesc1[nMark1];
}
cv::Mat matDesc1(kps1.size(), 8, CV_8UC1, tempDesc1);

std::cout << "Desc 2 " << endl;
uint64_t** tempDesc2 = new uint64_t*[kps2.size()];
int nMark2 = 0;
for (int j=0; j<kps2.size(); j++)
{
    tempDesc2[j] = new uint64_t[8];
    for ( int k = 0; k < 8; k++, nMark2++)
        tempDesc2[j][k] = h_GPUdesc2[nMark2];
}
cv::Mat matDesc2(kps2.size(), 8, CV_8UC1, tempDesc2);

vector<cv::DMatch> good_matches;
cv::BFMatcher matcher(cv::NORM_HAMMING);
vector< vector<cv::DMatch> > matches;
matcher.knnMatch(matDesc1, matDesc2, matches, 2);

Thanks.

Hi @komrad36

There is a problem when I compiled the CLATCH. The error is caused by the following:

cv::Ptr<cv::ORB> orb = cv::ORB::create(numkps, 1.2f, 8, 31, 0, 2, cv::ORB::HARRIS_SCORE, 31, 20);

Would you like to tell me which OpenCV version you use to compile the CLATCH?