EasyReheat will tell you exactly how long the food needs to be microwaved. It uses Computer Vision to detect food types and uses Machine Learning to improve overtime.
EasyReheat is also avaliable via Azure Bot Service.
EasyReheat uses Docker to deploy. Please make sure you have Docker installed.
-
cdinto the repository. -
Build a docker image by typing:
docker build -t easy-reheat .Wait for it to build. Upon completion You should see something like this:
Successfully built 5c9bae304424
SECURITY WARNING: You are building a Docker image from Windows against a non-Windows Docker host. All files and director
ies added to build context will have '-rwxr-xr-x' permissions. It is recommended to double check and reset permissions f
or sensitive files and directories.Ignore the security warning and proceed.
- Run the docker container by typing
docker run -d -p local_port_you_wish_to_map:80 -v abs_path_to_src:/var/www/html easy-reheat- Now check to see if the docker container is running by typing
docker ps, you should see something like this:
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
8072921058db easy-reheat "/usr/sbin/apachectl " 3 minutes ago Up 3 minutes 0.0.0.0:8081->80/tcp gloomy_goldwasser- You should now be able to access the app by going to
localhost:local_port_you_wish_to_map
EasyReheat needs to be configured.
First, modify src/config.php
<?php
// Gloabl Configuration File
namespace EasyReheat;
class GlobalConfig {
// Development mode, turn this off in production env.
public static $dev_mode = true;
}
class ApiConfig {
// Computer Vision API key (Microsoft)
public static $cv_key = "ede4019e77124fa495407438f3e2c9d4";
}
?>Then, create a directory called images in src/api
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