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Docker: Improve inline docs in docker-compose.yml examples #1337

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This commit is contained in:
Michael Mayer 2022-02-25 16:45:15 +01:00
parent 077e41707a
commit b5915a3852
4 changed files with 4 additions and 4 deletions
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2
docker-compose.yml
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@ -114,7 +114,7 @@ services:
# PHOTOPRISM_FFMPEG_BITRATE: "32" # FFmpeg encoding bitrate limit in Mbit/s (default: 50)
# PHOTOPRISM_FFMPEG_ENCODER: "h264_v4l2m2m" # use Video4Linux for AVC transcoding (default: libx264)
# PHOTOPRISM_FFMPEG_ENCODER: "h264_qsv" # use Intel Quick Sync Video for AVC transcoding (default: libx264)
## Share hardware devices for video transcoding and machine learning (optional):
## Share hardware devices with FFmpeg and TensorFlow (optional):
# devices:
# - "/dev/dri:/dev/dri"
# - "/dev/nvidia0:/dev/nvidia0"

2
docker/examples/arm64/docker-compose.yml
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@ -100,7 +100,7 @@ services:
HOME: "/photoprism"
## Start as a non-root user (see https://docs.docker.com/engine/reference/run/#user)
# user: "1000:1000"
## Share hardware devices for video transcoding and machine learning (optional):
## Share hardware devices with FFmpeg and TensorFlow (optional):
# devices:
# - "/dev/video11:/dev/video11" # Video4Linux (h264_v4l2m2m)
working_dir: "/photoprism"

2
docker/examples/armv7/docker-compose.yml
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@ -93,7 +93,7 @@ services:
HOME: "/photoprism"
## Start as a non-root user (see https://docs.docker.com/engine/reference/run/#user)
# user: "1000:1000"
## Share hardware devices for video transcoding and machine learning (optional):
## Share hardware devices with FFmpeg and TensorFlow (optional):
# devices:
# - "/dev/video11:/dev/video11" # Video4Linux (h264_v4l2m2m)
working_dir: "/photoprism"

2
docker/examples/docker-compose.yml
View file

@ -93,7 +93,7 @@ services:
HOME: "/photoprism"
## Start as a non-root user (see https://docs.docker.com/engine/reference/run/#user)
# user: "1000:1000"
## Share hardware devices for video transcoding and machine learning (optional):
## Share hardware devices with FFmpeg and TensorFlow (optional):
# devices:
# - "/dev/dri:/dev/dri"
# - "/dev/nvidia0:/dev/nvidia0"