![]() On NVIDIA's Tegra platform and Ubuntu, you can install optimized OpenCV If you do not yet have CUDA installed, we suggest you to install the latest GPGPU driverĪnd CUDA for your device and OS from NVIDIA website. Whereas commands prefixed with `'#'` should be run as root (or as user with `'sudo'`). Note that in this guide, shell commands prefixed with `'$'` should be run as user, Odroid XU3/4, Raspberry Pi 3, Chromebooks, Android-based mobile phones and tablets)ĬK also helps us quickly prototype various platform-independent experimental Run-time (CPU, CUDA, OpenCL) and models (AlexNet, GoogleNet, SqueezeNet)Īcross different hardware (GPUs from NVIDIA, Intel, ARM, AMD, Qualcomm, Libraries (openBLAS, clBLAS, CLBlast, ViennaCL, libDNN, cuBLAS, cuDNN), Packaging Caffe library and binaries for distributionĬK helps automate and customize installation of Caffe using different compilers,.Caffe BVLC OpenCL+libDNN+CLBlast (Linux, Android).Caffe BVLC OpenCL+libDNN+clBLAS (Linux).Caffe BVLC OpenCL+libDNN (Linux, Windows).Caffe BVLC OpenCL+CLBlast (Linux, Android).Caffe BVLC OpenCL+ViennaCL (Linux, Windows). ![]() Installing Caffe packages with different dependencies via CK.Automatically building and running Caffe via CK.Installing software dependencies for Caffe. ![]()
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