Make sure you have installed the following before using FAST. Note that these requirements are for the releases, if you want to build FAST yourself, there are additional requirements.
Data for examples and tests
If you want to run the examples and tests in FAST, you need to download the public test data.
FAST requires two system libraries: OpenCL and OpenGL. These have to be downloaded and installed separately. There are many implementations of these two libraries, usually you want to install the one distributed by the company that made the GPU on your machine. See below for more specific instructions.
AMD Install the ROCm stack
NVIDIA Install CUDA
Also you need to install the following dependencies openslide, libusb:
sudo apt install libopenslide0 libusb-1.0-0
On Windows, OpenGL and OpenCL are usually installed when you install the graphics driver for your system. Make sure OpenCL.dll is located in your PATH environment variable.
The windows binaries are compiled using MSVC 2017/2019. Therefore you have to install the Microsoft Visual C++ Redistributable 2015-2019 (64bit/x64).
- For TensorRT inference: CUDA 10.0, cuDNN 7.X and TensorRT 5.1.
- For TensorFlow CUDA inference: CUDA 10.0 + cuDNN 7.X
- For OpenVINO inference: OpenVINO 2019 R2