![]() ![]() Install LibJPEG in and Ubuntu/Debian-like distributions use: If mex -setup returns errors, seeįor Linux, make sure you have GCC 4.8 and LibJPEG are installed. ![]() A copy can be obtained forįree from the Mac App Store. Mex (doing so nce is sufficient) as follows:įor macOS, make sure you have Xcode installed. In particular, before running vl_compilenn do not forget to setup If this is the first time you compile MatConvNet, consider tryingįirst the CPU version. The command line or an IDE can be used as well. This page discussesĬompiling MatConvNet using the MATLAB function MatConvNet compiles under Linux, Mac, and Windows. Worry, this is an artifact of the test procedure. Note that the second tests runs slower than the CPU version do not To test GPU support (if you have compiled it) use instead: > vl_testnn('gpu', true) The command (using MATLAB R2015b or later): > vl_testnn In order to add MatConvNet to MATLAB's search path.Īt this point the library is ready to use. Start MATLAB and type: > run /matlab/vl_setupnn Download and unpack the library source code into a directory of.In order to install the library, follows these steps: ![]() Depending on the specific MATLAB version, further constraints may apply, some of which are discussed below and in the FAQ. For GPU computation, you will need at least CUDA 7.5 and, optionally, CuDNN v4 or newer. You will need a sufficiently recent MATLAB version (R2015b or newer) and a compiler with C++11 support (Visual Studio 2015, GCC 4.8, Xcode 7.3.1 or higher). ![]()
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