Software for FourFor show
The Chaignottes are connected to a Raspberry Pi that forward sensor value to the main computer thanks to a python script.
Unfortunately I didn't take the time to make script starts automatically.
So one need to ssh to the RPi and start the script manually.
Since there are two sensors, we need 2 ssh sessions (or just one with a screen inside).
ssh lidar
The script is inside the /opt/FourFor/LidarSlip folder.
cd /opt/FourFor/LidarSlip
And the script take USB device as argument. Usually it is :
./ReadUSBSimple.py ttyUSB0
and
./ReadUSBSimple.py ttyUSB1
export PATH=/opt/cross-pi-gcc/bin:$PATH
mkdir -p build-rpi
cd build-rpi
cmake .. -GNinja -DCMAKE_TOOLCHAIN_FILE=${PWD}/../../ofnode/of/dev/arm-linux-gnueabihf.cmake -DCMAKE_SYSROOT=`realpath "${PWD}/../../ofnode/sysroot"` -DCMAKE_INSTALL_PREFIX=${PWD}/FourFor -DOF_ROOT="${PWD}/../../ofnode/of"
ninja
ninja install
ninja install && rsync -hvrPtl FourFor/ pi@raspberrypi.local:/opt/FourFor
rsync -hvrPtl LidarSlip pi@lidar.local:/opt/FourFor
ffmpeg -i ${file} -vcodec libx264 -profile:v high -preset fast -crf 18 -b-pyramid none -vf scale=-1:720 -acodec ac3 -ab 1536k -scodec copy encoded/${file}
sudo fbi -d /dev/fb0 -T 1 -a il1.jpg
for img in alto*.jpg; do convert $img -resize 1920x1080 $img; done
for img in tenor*.jpg; do convert $img -resize 1920x1080 $img; done
for img in basse*.jpg; do convert $img -resize 1920x1080 $img; done
coredumpctl dump > score.dump
for vid in videos_with_audio/*.mp4; do ffmpeg -i $vid -af "volume=0.0" -vcodec copy videos/${vid##*/}; done
NOTE : ${vid##*/} retains part of $vid after the last /.