Can't run Akaze binary descriptor MLDB

[bigw124]

I have Ubuntu 16.04 installed on Virtualbox. I am running OpenSfM in Docker, where I have successfully created several dense point clouds using Akaze for feature detection and MSurf for feature description.

I want to try the binary descriptor MLDB. So I changed the config file, but I am getting an error where the computer gets frozen on the attached screen. The error occurs almost immediately after starting the feature detection/description.

I know this isn't a "wrong descriptor" error that occurs from providing an invalid descriptor such as M-LDB. I have tried running it with different min_frames, descriptor size, threshold, and matcher types and I have no luck. What is going on here? What feature matching should I use for MLDB, Flann?

[zbynekwinkler]

Try to switch to running with only one process. You could be experiencing something similar to #140 (comment) . By using just one process, the possible error is not swallowed and you might find out what is going on.

[paulinus]

The problem is that the python wrapper of Akaze assumes the descriptor is of floating point type here

OpenSfM/opensfm/src/akaze.cc

Lines 45 to 46 in d301856

	npy_intp desc_shape[2] = {desc.rows, desc.cols};
	retn.append(bpn_array_from_data(2, desc_shape, desc.ptr<float>(0)));

A case should be added for binary descriptors.

[paulinus]

I've just added the case. It is now working on current master.
Thanks for reporting!