Home Assistant with Object Detection Service with Tensorflow + Doods using Oracle Cloud
In this video we are going to add an object and people detection service to our Home Assistant with Tensorflow + Doods. In this way you can start building objects of style and people that make your home even smarter.
This time, we will use Oracle Cloud servers to do all our analysis and identify the objects that our camera recognizes.
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To install Docker on our Oracle cloud, we will use the following command:
Update your operating system with the following two commands:
sudo apt-get update && sudo apt-get upgrade
#Official Docker installation script:
curl -fsSL https://get.docker.com -o get-docker.sh
#start the script
sudo sh get-docker.sh
To install Portainer, we will first create our volume:
sudo docker volume create portainer
To install our Portainer, we will use the following command:
sudo docker run -d -p 9000:9000 --name portainer --restart always -v /var/run/docker.sock:/var/run/docker.sock -v portainer:/data portainer/portainer-ce:latest -H unix:///var/run/docker.sock
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The image we used was as follows:
https://github.com/snowzach/doods2
Needing more information about installation, check out this integration:
https://www.home-assistant.io/integra...
The following command was used:
tensorflow and doods
image processing:
platform: doods
URL: http://192.168.1.253:8383
detector: default
scan_interval: 1
source:
entity_id: camera
file_out: /config/www/sauberlab.jpg
confidence: 60
labels:
name: person
confidence: 70
name: car
confidence: 50
Camera:
platform: generic
name: doods_cam
still_image_url: http://192.168.1.252:8123/local/Sauberlab.jpg
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