Manipulation avancée avec AICA - déploiement Cloud

TP3 - Vision par IA avec Yolo

Pour déploiement sur un PC Linuxserveur avec GPU et nvidia-container-toolkit :

#syntax=ghcr.io/aica-technology/app-builder:v2

[core]
"image" = "v5.0.1"1.0"

[packages]
# add components
#"@aica/components/rl-policy-components" = "v2.0.0"
"@aica/components/advanced-perception" = "v1.0.0" # contains YoloExecutor
"@aica/components/core-vision" = "v1.1.2" "@aica/foss/toolkits/cuda"# =contains "v1.0.0-cuda24.12"CameraStreamer
"@aica/foss/toolkits/ml" = "v1.0.0-gpu24.12"cpu24.04" # prerequisite for YoloExecutor

# other extensions

# add hardware collections
"@aica/collections/ur-collection" = "v4.2.0"

Pour déploiement sur un serveur sans accélération graphiqueGPU :

#syntax=ghcr.io/aica-technology/app-builder:v2

[core]
"image" = "v5.0.1"1.0"

[packages]
# add components
#"@aica/components/rl-policy-components" = "v2.0.0"
"@aica/components/advanced-perception" = "v1.0.0" # contains YoloExecutor
"@aica/components/core-vision" = "v1.1.2" # contains CameraStreamer
"@aica/foss/toolkits/ml" = "v1.0.0-cpu24.04" # prerequisite for YoloExecutor

# other extensions
"@aica/foss/web-video-server" = "v0.1.0" # enables web streaming of video topics

# add hardware collections
"@aica/collections/ur-collection" = "v4.2.0"

cat /home/user/aica/aica-license.toml | sudo docker login registry.licensing.aica.tech -u USERNAME --password-stdin

sudo docker build -f /home/user/aica/aica-application.toml -t aica-runtime .

sudo docker run -it --rm   --privileged   --net=host   -v /home/user/aica/aica-license.toml:/license:ro   aica-runtime