7/10/2023 0 Comments Download digits appYour caffe.exe will be inside Build\圆4\Release directory (if you made release build). Note you need to install Visual Studio 2013 to build Caffe.īefore building it, enable Python support, CUDA and CuDNN by following instructions on the same page.īecause we are using Official CPython, please change the value of PythonDir tag from C:\Miniconda2\ to C:\PYTHON27\ (assume your CPython installation is the default C:\PYTHON27).Īfter building it, configure your Python environment to include pycaffe, which is described at ( ). CuDNN 5.1ĭownload CuDNN 5.1 at NVIDIA website ( ). CUDA 7.5ĬUDA 7.5 can be obtained at NVIDIA CUDA ( ). We need to install it after installing DIGITS. Run command prompt (cmd.exe) as administrator, and issue the following commands.Īfter that compiler is installed, finish the above python -m pip install commands.Īt this moment, do not install gevent yet. Remember to download correct version (2.7) and architecture (64-bit).Īdditionally, download gevent v1.0.2 at the same site. Please select Add Python Path during installation.ĭownload numpy, scipy, matplotlib, scikit-image, h5py from Unofficial Windows Binaries for Python Extension Packages webpage at ( ). Prerequisitesĭownload and install Python 2.7.11 64bit from Python's official site ( ). To run DIGITS with DetectNet, please use NV-Caffe 0.15 or above on Ubuntu. The following layers, required for DetectNet feature, are not implemented in that branch.Īs a result, DIGITS for Windows does not support DetectNet. DIGITS for Windows depends on Windows branch of BVLC Caffe.
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