Hardware: Home Servers, Facial Recognition Systems and Nsight Graphics 2020.3
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Has the home server gone the way of the Dodo?
I used FreeNAS, which is a fork of FreeBSD, essentially a Unix-like operating system. It required me to hook up a monitor to the PC for setup, hence the need for the cheap video card.
After that I disconnected the monitor, the server runs headless. Just enter a URL into the browser on another PC and you can access the dashboard and have control of everything.
If I did this again, I’d save money by skipping the sound card. But now I want know if this is still worth it? My files are backed up in OneDrive and Google Drive. It’s nice to have a home-based copy and a cloud copy, though.
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iWave Systems i.MX8M Mini Devkit Targets Low-cost Facial Recognition Systems
The board supports Linux 4.14.98, and Android 9.0. NXP eIQ machine learning software is based on OpenCV and includes pre-optimized libraries and tools for computer vision applications. C++, Python, and Java API, and integration with MCUXpresso SDK and Yocto development environments aims to accelerate the development flow of the ML applications.
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NVIDIA Announces Nsight Graphics 2020.3
Nsight Graphics 2020.3 is now available for download. We’ve added a number of features that dramatically expands the functionality of our tools.
Applications that use the provisional VK_KHR_ray_tracing extension can be captured, profiled and exported to a C++ Capture. While the extension is still evolving, the NVIDIA Vulkan Beta Driver will allow for experimentation before it is fully ratified (and is required).
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NVIDIA Nsight Graphics 2020.3 Supports Profiling KHR Ray-Tracing
NVIDIA on Friday released Nsight Graphics 2020.3 as the newest version of their proprietary tool for profiling and debugging Direct3D / Vulkan / OpenGL / OpenVR software.
One of the big changes with Nsight Graphics 2020.3 is now supporting the VK_KHR_ray_tracing extension, the official Vulkan ray-tracing extension compared to the prior NVIDIA-specific vendor extension. Nsight Graphics can now capture and profile VK_KHR_ray_tracing using software and export it to a C++ capture.
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