• Segmentation performance in general depends among other factors on the system performance, the available and free RAM and GPU memory.
• Whenever using Intellesis Segmentation it is strongly recommend not to use other memory- or GPU-intensive applications at the same time.
• Deep Feature Extraction uses the GPU (NVIDIA only) if present on the system. It is recommended to use a GPU with at least 8GB of RAM.
• When installing the GPU libraries it is required to use the latest drivers which can be obtained from the NVIDIA homepage (https://www.nvidia.com/Download/index.aspx?lang=en-us).
• In case of using an approved ZEISS workstation, the latest drivers can be found on the installer.
• When using Deep Feature Extractor on a GPU system, Tensorflow will occupy only as much as GPU RAM as needed to ensure system stability. When the segmentation is finished this GPU memory is released automatically.
• Therefore, when starting another GPU-intensive application, the GPU memory cannot be used by this new process and a CPU fallback will be used or performance issues may occur.
• In this case, restart the software to free all possible GPU memory and then start using the GPU-intensive application.