#convert single scaled down images to video for presentations
#-------------------------------------------------------------
for i in *.png; do convert -scale 50% $i s_$i; done

ffmpeg -framerate 4 -pattern_type glob -i 's_*.png' -c:v libx264 -pix_fmt yuv420p s_out.mp4

#records from 2023.01.13 
- LCD resolution set to 1920x1080 - 4k is too much for CPU in NB used for control software
- better input video quality
- exposure time fixed to 15ms

#test of meteor brightness - change of intensity - distance of fiber holder
X sections from the light source (lightbulb)
#-------------------------------------------------------------
bri00_dist_X - hanging fiber end, oriented not directly to camera, LCD brigthness 0%
bri00_dist_X_hold - fiber held in fixed position, orientation towards camera, LCD brightness 0%
bri00_dist_X_hold_ND - the same as dist_X_hold but with ND filter: Cokin P121 ND8 with fluent transition

#test of LCD parameter change
#-------------------------------------------------------------
LCD_brigthness_test/
#contrast 75% in all cases, no change
bri15_meteor - LCD brightness 15% + optical fiber with light on (meteor) - foto9 mean pixel value 18.960
bri15        - LCD brightness 15% - no meteor - foto9 mean pixel value 22.149
bri05        - LCD brightness 05% - no meteor - foto9 mean pixel value 15.357
bri00        - LCD brightness 00% - no meteor - foto9 mean pixel value 11.644

#video description
#-------------------------------------------------------------
Background video was generated in Google Earth Pro. It simulates the
observed scene from satellite in orbit 650km, flight velocity 7.6 km/s with
camera tilt 27 degrees. The satellite follows path from Sahara (Northern
Africa) to Germany. Georeferenced tiles from NASA-NOAA mission at 500m
resolution from 2016 are used as scene. Video was generated in lossless VP9
(.webm) format with 1080p 30FPS.