The turbulence can be weak, normal or strong.
EVA (Electronic Visual Assistant) analyses in real time a sequence of continuous raw images to define, depending on the turbulence, a degradation model applicable to these raw images.
The nature of the turbulence may change from sequence to sequence.
The model which will be implemented in 2022, will be tested on the Moon, Mars, Jupiter and Saturn.
The first tests show that this method makes it possible to recover images even in very degraded conditions which is not the case, among amateurs, with current approaches.
On the other hand, the method also works for long distance turbulence and underwater turbulence.
When this method will be fully tested, at the end of 2022, an Linux on-board version will be offered to all those who experience the inconvenience of atmospheric and underwater turbulence: amateur astronomers, long-distance surveillance, wildlife photographers, underwater photographers, etc.
A website dedicated to GPU vision will be open in 2022 so that everyone can follow the operations in progress.
What will the fp16 computing power of Jetson GPUs be in 2023?
Stacking of lunar and planetary images in real time is possible thanks to the calculation by GPU (graphics processor) carried out by the turbu software to which this site is dedicated.
turbu software is available under LinuxMint, it requires the installation of the CUDA Toolkit, ArrayFire, Guake and ZWO ASI SDK modules to run.
Visitor curious to test this new practice of astronomy (assisted visual) can download turbu software after having installed the necessary modules.
This version under Linux Mint 20.3 (Ubuntu 20.04) is made for a laptop with a graphics card at least equal to GTX 1050 Ti.
The version for Jetson will be released with JetPack 5.0 on Ubuntu 20.04.
yes but in the zip file, i get a file with no extension information. I thought it was a python file like turbu.py or an exe file like turbu.exe but i only get a file named turbu
No it’s a linux C/C++ executable, there is no extension.
You unzip it and run it from the command line in a terminal:
$ turbu
usage : turbu expo(ms) gain WB_R WB_B band_width high_speed k_quality
example: turbu 3 300 70 70 100 0 0.7
C/C++ code is optimized for Linux Mint 20.3 (Ubuntu 20.04) environment.
The difference is that the image on the left (15-minute derotation) is obtained automatically and that the images of the assisted video used for the derotation are obtained live.
A single end-to-end processing software: turbu.
For the left image, telescope used is a C11 @ f/20 on EQ6-R Pro.
The images (800x600) on the left are obtained live every 30 seconds (visual assisted) while the images on the right are obtained every 3.5 minutes (derotation of 7 images).
The visual aspect is practically identical.