Error when using mexResize
chenyjade opened this issue · comments
I have already run compile in external_libs/mexResize
But when I try to use mexReize, there is an ERROR:
Invalid MEX-file '/mydir/data/ECO-master/external_libs/mexResize/mexResize.mexa64':
'/mydir/data/ECO-master/external_libs/mexResize/mexResize.mexa64' is not a valid shared library..
I tried !ldd mexResize in matlab, and the output was:
./mexResize.mexa64: /usr/local/Mathworks/R2017b/sys/os/glnxa64/libstdc++.so.6: version `GLIBCXX_3.4.21' not found (required by ./mexResize.mexa64)
linux-vdso.so.1 => (0x00007ffdba523000)
libopencv_core.so.2.4 => not found
libopencv_imgproc.so.2.4 => not found
I'm not sure what should I do now to run the mexResize, could you help me please?
Hi. Which OS and version of Matlab du you use? Were there any errors during compilation?
Matalb R2017b with Ubuntu 16.04. No Errors but one warning
>> compile
Building with 'g++'.
Warning: You are using gcc version '5.4.0'. The version of gcc is not supported. The version currently
supported with MEX is '4.9.x'. For a list of currently supported compilers see:
http://www.mathworks.com/support/compilers/current_release.
> In compile (line 11)
MEX completed successfully.
I have fixed
./mexResize.mexa64: /usr/local/Mathworks/R2017b/sys/os/glnxa64/libstdc++.so.6: version 'GLIBCXX_3.4.21' not found (required by ./mexResize.mexa64)
by making a soft link between /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.21 and /usr/local/Mathworks/R2017b/sys/os/glnxa64/libstdc++.so.6
but libopencv is still not found whatever I tried.
More seriously, when executing the function hann, there was an error libnssutil3.so: version 'NSSUTIL_3.12.5' not found .
I have tried to upgrade libnss3, and my matlab crashed after that (when executing hann)
It seems that there are something wrong with my matlab and linux environment and I'm trying to find it out :(
Hmm, have not seen this error before. Might be some problem with your matlab as you say. Anyway, the tracker should work even without mexResize, it automatically checks if it is working or not. If not, it will use the corresponding matlab function (which is slightly slower).