@hlzz It's very interesting of the project. Would you provide the script of openMVG's SIFT extraction, i.e. the script to use openMVG's SIFT function and save it to a file with suffix '.desc' like the data in test_data?

• Add a LIBVOT_USE_OPENCV option to build libvot with opencv support
• Remove unused dependency about openmvg_descriptor.hpp
• Add some const where data must be const
• Use c++11 nullptr
• replace some new X* by std::vector. Despite there is not memory leak, using pointer array increase the risk to have leak when new contributors comes inside the project.
• Add an option SVG adjacency matrix log to image_search binary. Here an example of the generated file by libvot on a tiny dataset Here the result of OpenMVG matching (all pair tested, only pair that have geometric correspondences are displayed). We can see that the matrix are very similar ;-)

Here the same results on a larger dataset: voc 25 libvot results:

voc 100 libvot results:

Here the openMVG resulting adjacency matrix (again they are close)

PS: sorry for the tab alignment issue

• I think that using spaces based tab would make the edit easier, space have regular size across editor, but it's not the same for tabs (windows VS tab is often 4 spaces)

Hello again! I just tryed libvot examples on more bigger image collection. See what i get.

Result isn't even close. But when i try to compare query image and "top ranked" image from result by native opencv functions (same libvot used, but without convertion to SiftData structure, just Flann computing of descriptors), i got false, and true with only same pictures. It looks like something went wrong ))))

I am trying to run ./libvot_feature image_list and I get this:

dyld: Library not loaded: /usr/local/opt/openblas/lib/libopenblasp-r0.3.5.dylib
Referenced from: /usr/local/opt/opencv@3/lib/libopencv_core.3.4.dylib
Reason: image not found

Any help ?

I am not able to install the library.

I do not have nvidia graphics card so I cmake using cmake -DLIBVOT_USE_CUDA=OFF -DLIBVOT_USE_CUDNN=OFF ..

then while I make, I got the following error

Help pls!

Thanks for the great work: fast and good results!

Please find attached a small patch improving a bit the speed and memory usage by replacing IndexedFloat with a static plane index array. I fixed also some warnings.

patch.zip

I dont understand how I should use ./image_search. The command from the docs is:

./image_search <sift_list> <output_dir> [depth] [branch_num] [sift_type] [num_matches] [thread_num] so where is the input for the query image ?

sift_list is the list of features generated by ./libvot_feature or openMVG right ?

In the installation guide, sudo apt-get install libgtest-dev cannot be used directly, for just the source code is installed into /usr/include, but the static libraries are required of gtest. I recommend to install gtest from source. https://www.cnblogs.com/lynch_world/archive/2011/12/08/2281335.html is a reference link.

In your code, you use the nonfree module of OpenCV 2, thus when build your code the OpenCV 3 cannot be used. Hope write this down in your installation guide.

build git:(master) ✗ make install [ 36%] Built target vlfeat [ 41%] Built target vot_utils [ 44%] Built target vot_feature [ 48%] Built target vot_matching [ 52%] Built target vot_vocabtree [ 54%] Built target libvot_feature [ 56%] Built target web_search [ 60%] Built target euclidean_matrix [ 63%] Built target compute_stats [ 66%] Built target svt [ 69%] Built target sequence_match [ 72%] Built target graph_partition [ 77%] Built target query_expansion [ 80%] Built target image_search [ 82%] Built target oxford5k_benchmark [ 91%] Built target unit_test [ 93%] Built target boost_basic_test [ 95%] Built target opencv_test [ 97%] Built target libvot_feature_test [100%] Built target sift_match_test Install the project... -- Install configuration: "Release" -- Installing: /usr/local/include/libvot_config.h -- Installing: /usr/local/lib/libvot_utils.0.1.dylib -- Installing: /usr/local/lib/libvot_utils.0.dylib -- Installing: /usr/local/lib/libvot_utils.dylib -- Installing: /usr/local/lib/libvot_feature.0.1.dylib -- Installing: /usr/local/lib/libvot_feature.0.dylib -- Installing: /usr/local/lib/libvot_feature.dylib -- Installing: /usr/local/lib/libvot_matching.0.1.dylib -- Installing: /usr/local/lib/libvot_matching.0.dylib -- Installing: /usr/local/lib/libvot_matching.dylib -- Installing: /usr/local/lib/libvot_vocabtree.0.1.dylib -- Installing: /usr/local/lib/libvot_vocabtree.0.dylib -- Installing: /usr/local/lib/libvot_vocabtree.dylib -- Installing: /usr/local/bin/image_search -- Installing: /usr/local/bin/graph_partition -- Installing: /usr/local/bin/query_expansion -- Installing: /usr/local/bin/sequence_match -- Installing: /usr/local/bin/compute_stats -- Installing: /usr/local/bin/svt -- Installing: /usr/local/bin/euclidean_matrix -- Installing: /usr/local/bin/web_search -- Installing: /usr/local/bin/libvot_feature -- Installing: /usr/local/bin/oxford5k_benchmark

Halo! I noticed that you guys provide the make install script for users, so these include files, libs and bin executable files are installed on my system. And what my question is "How do I start a new project to reference your project in CMakeLists.txt?". For example, if you are using opencv lib, you can add find_package( OpenCV REQUIRED ) into CMakeLists.txt file. But how to use this libvot? I got errors when I add find_package( libvot REQUIRED ) into CMakeLists.txt file.

system: ubuntu 16.04

[ 42%] Linking CXX shared library ../../lib/libvot_feature.so /usr/bin/ld: cannot find -lopencv_dep_cudart collect2: error: ld returned 1 exit status src/feature/CMakeFiles/vot_feature.dir/build.make:145: recipe for target 'lib/libvot_feature.so.0.1' failed make[2]: *** [lib/libvot_feature.so.0.1] Error 1 CMakeFiles/Makefile2:355: recipe for target 'src/feature/CMakeFiles/vot_feature.dir/all' failed make[1]: *** [src/feature/CMakeFiles/vot_feature.dir/all] Error 2 Makefile:138: recipe for target 'all' failed make: *** [all] Error 2

This is the cpp api of VLFeat for covdet feature and kd-tree. I have tested covdet feature and kd-tree, and the result is right (I have used it for image retrieval with BoW). but the code still need to improve. I also write the RANSAC-like reranking method based on matrix lib of Armadillo, and I will pull request if I have improved the code of reranking method.