Fast Raspberry Pi 4 Telemetry and Data Visualization скачать в хорошем качестве

Fast Raspberry Pi 4 Telemetry and Data Visualization

The latest version of Telemetry Viewer now works on the Raspberry Pi 4! This video covers all of the new features I added: Webcams and network cameras (MJPEG over HTTP.) Initial support for the Raspberry Pi 4 (mostly working, but reduced functionality.) A new "timeline" feature makes it easy to jump or scrub through lots of data. Time domain charts can now show timestamps (date and time) along the x-axis. Bitfield (boolean and enum) "levels" can now be visualized as bars drawn on top of the charts (similar to a logic analyzer.) Timestamps can be shown in any of the common formats: YYYY-MM-DD, MM-DD-YYYY and DD-MM-YYYY. Most of the OpenGL and chart code has been rewritten, resulting in massive speed improvements. CPU and GPU usage is often cut in half. When using Nvidia GPUs the GPU usage has been cut down by almost 80%! Progress bars are now displayed when importing and exporting data. Finally works in Java 9+. The video starts by demoing the new features with my balancing robot. I have a Flir E4 thermal camera monitoring temperatures, and an old smartphone setup as a network camera. Telemetry Viewer shows both camera feeds, plus all of the normal telemetry data, making it easy to correlate between them. After that, I demonstrate how to use the software from beginning to end. Both the CSV and binary modes are explained. Finally, I demo how to use the software on the Raspberry Pi 4. I recommend using the "Ubuntu MATE 20.04 32-bit" image because it includes a version of Mesa that supports geometry shaders. When I recorded this video, the version of Mesa in Raspberry Pi OS is older and does not support geometry shaders. If you use Raspberry Pi OS, you will need to download/compile/install Mesa, which can be difficult if you are not familiar with that process. I cover how to do that on my website (link below.) Download: http://farrellf.com/TelemetryViewer/ More details about how to use it on the Raspberry Pi 4: http://farrellf.com/projects/software... If you find this software useful and would like to "buy me a coffee" that would be awesome: https://www.paypal.me/farrellfarahbod You can also support development of this software by ordering items from Amazon through my affiliate links. There is no added cost for you, but Amazon sends me a small commission. https://amzn.to/2B9EhCm Raspberry Pi 4 https://amzn.to/2OAZybg HC-05 Bluetooth UART Modules https://amzn.to/2OD3MiI Flir E4 Thermal Camera If you are curious about the balancing robot shown in this video, I have a whole series of videos where I show that entire process from beginning to end: http://www.farrellf.com/projects/hard...