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It is recommended to do a native install or on a VM for shinobiCCTV using "The Shinobi Way" script.
But if you want to give docker a shot these are my notes for the installation.
The docker-compose.yml was generated by the follow script below. If you're going to docker you should install shinobi via the ShinobiInstall.sh below. The docker-compose.yml shown below is just an example and may not work for you.
4 years ago
# ShinobiInstall.sh
```
#!/bin/bash
if ! [ -x "$(command -v docker)" ]; then
echo "You are missing Docker"
echo "docker not found!"
echo "Get it here : https://docs.docker.com/engine/install/"
exit 1
else
docker -v
fi
if ! [ -x "$(command -v docker-compose)" ]; then
echo "You are missing Docker Compose"
echo "docker-compose not found!"
echo "Get it here : https://docs.docker.com/compose/install/"
exit 1
else
docker-compose -v
fi
PLUGIN_LIST=''
PLUGIN_YMLS=();
SSL_TOGGLE="$(echo "$1" | awk '{print tolower($0)}')"
if [ "$SSL_TOGGLE" = "true" ]; then
SSL_TOGGLE='true'
else
SSL_TOGGLE='false'
fi
echo "Shinobi - Do you want to Install Object Detection? (TensorFlow.js)"
echo "(y)es or (N)o"
read -r TENSORFLOW_PLUGIN_DOCKER_ADDON_AGREE
TENSORFLOW_PLUGIN_DOCKER_ADDON_AGREE="$(echo "$TENSORFLOW_PLUGIN_DOCKER_ADDON_AGREE" | awk '{print tolower($0)}')"
if [ "$TENSORFLOW_PLUGIN_DOCKER_ADDON_AGREE" = "y" ]; then
TENSORFLOW_PLUGIN_KEY=$(head -c 1024 < /dev/urandom | sha256sum | awk '{print substr($1,1,29)}')
PLUGIN_YMLS+=('"Tensorflow":"'$TENSORFLOW_PLUGIN_KEY'"')
PLUGIN_LIST+=$(cat <<-END
shinobiplugintensorflow:
image: shinobisystems/shinobi-tensorflow:latest
container_name: shinobi-tensorflow
environment:
- PLUGIN_KEY=$TENSORFLOW_PLUGIN_KEY
- PLUGIN_HOST=Shinobi
volumes:
- $HOME/Shinobi/docker-plugins/tensorflow:/config
restart: unless-stopped
END
)
fi
# Join Plugin Keys
PLUGIN_YMLS=$(printf ",%s" "${PLUGIN_YMLS[@]}")
PLUGIN_YMLS=${PLUGIN_YMLS:1}
PLUGIN_YMLS="{$PLUGIN_YMLS}"
cat > docker-compose.yml <<- EOM
version: "3"
services:
shinobi:
image: shinobisystems/shinobi:dev
container_name: Shinobi
environment:
- PLUGIN_KEYS=$PLUGIN_YMLS
# - SSL_ENABLED=$SSL_TOGGLE
volumes:
- ./config:/config
- ./customAutoLoad:/home/Shinobi/libs/customAutoLoad
- ./database:/var/lib/mysql
- ./videos:/home/Shinobi/videos
- ./plugins:/home/Shinobi/plugins
- /dev/shm/Shinobi/streams:/dev/shm/streams
- /etc/localtime:/etc/localtime:ro
# ports:
# - 8080:8080
restart: unless-stopped
$PLUGIN_LIST
4 years ago
networks:
default:
external:
name: caddy_net
EOM
cat docker-compose.yml
docker-compose up -d
# rm docker-compose.yml
```
### Minimum File Structure
4 years ago
```
/home/
└── ~/
└── docker/
└── shinobi/
├── docker-compose.yml
```
### Add to Caddyfile (from ~/docker/caddy)
Remember to `docker exec -w /etc/caddy caddy caddy reload` after editing your Caddyfile.
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```
shinobi.yourdomain.com {
reverse_proxy shinobi:8080
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}
```
### docker-compose.yml
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Notes: No tensorflow option. Use script above if you want that feature.
4 years ago
```
version: "3"
services:
shinobi:
image: shinobisystems/shinobi:dev
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container_name: shinobi
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volumes:
- ./config:/config
- ./customAutoLoad:/home/Shinobi/libs/customAutoLoad
- ./database:/var/lib/mysql
- ./videos:/home/Shinobi/videos
- ./plugins:/home/Shinobi/plugins
- /dev/shm/Shinobi/streams:/dev/shm/streams
- /etc/localtime:/etc/localtime:ro
restart: unless-stopped
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ports:
- "521:521"
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networks:
default:
external:
name: caddy_net
4 years ago
```
## Why port 521 Open?
Why did I do ports 521:521? Well I wanted to enable FTP inside the docker with port 521 open (see below). You don't have to choose 521 this is arbitrary make sure your conf.json matches.. I will assume no port forward is needed on the router because Cameras and Shinobi NVR is on the sane LAN.
4 years ago
## shinobi/config/conf.json
4 years ago
Here I added the following lines to conf.json to enable FTP.
```
"dropInEventServer": true,
"ftpServer": true,
"ftpServerPort": 521,
"dropInEventsDir": "/dev/shm/streams/dropInEvents",
"thisIsDocker": true,
```
## Camera specific notes
4 years ago
You may need to port forward RTSP or RTMP ports for your cameras.
## Reolink Specific (RLC-410-5MP and RLC-520) Gotchas
### RTMP Main Stream (High Bit Rate 1024Kbps ~ 8192Kbps)
rtmp://[USERNAME]:[PASSWORD]@CAMERAIPADDRESS:PORT/bcs/channel0_main.bcs?token=sdasdasc&channel=0&stream=0&user=[USERNAME]&password=[PASSWORD]
4 years ago
Token value entered doesn't matter just need to put something. Only lines before /bcs and after user= need to be changed.
### RTMP Sub Stream (Lower Bit Rate 64Kbps ~ 512Kbps)
rtmp://[USERNAME]:[PASSWORD]@CAMERAIPADDRESS:PORT/bcs/channel0_sub.bcs?token=sdasdasc&channel=0&stream=0&user=[USERNAME]&password=[PASSWORD]
You can use the main stream for recording while using the sub stream for streaming both at the same time in shinobi. This still hasn't worked for me and I've been trying to figure this one out ever since. If you know a solution let me know. I can't get split LQ stream and HQ recording right, for the life of me.
Reference: https://hub.shinobi.video/articles/view/w8azEAI2peYeNul
### Gotcha #1 RMTP FTP Motion Detection
You can also designate motion detection to the cameras instead of shinobi to reduce load.
Reference: https://hub.shinobi.video/articles/view/LyCI3yQsUTouSAJ
ONE BIG GOTCHA... It took me a long time to figure out, but in order for FTP to work with Reolink Cameras. In your Reolink Client when setting up FTP there is an an option called Transport Mode. Make sure you select PORT instead of AUTO otherwise FTP won't work.
### Gotcha #2 Multiple input feeds. Low Q Stream + High Q Recording
3 years ago
This is a work around that allows for multiple input feeds. I do it this way because if you don't you can get one of two problems. Problem 1 stream is laggy and super delayed but recording is fine. Or Stream is fine but recording won't work at all.
For context.
Input 0 = LQ Sub Stream
Input 1 = HQ Main Stream.
3 years ago
Input 2 = LQ Sub Stream Again.
Under Input: Primary Input to 0:v
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Under Stream: Input Feed Map to 2:v
Under Traditional Recording: Input Feed Map to 1:v ... Then Press + sign, add another Input Feed Map to 1:a
3 years ago
The order of inputs matters.