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use docker hub by default
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@ -321,11 +321,11 @@ Face recognition, facial attribute analysis and vector representation functions
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[](https://hub.docker.com/r/serengil/deepface)
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You can deploy the deepface api on a kubernetes cluster with docker. The following [shell script](https://github.com/serengil/deepface/blob/master/scripts/dockerize.sh) will serve deepface on `localhost:5005`. You may need to re-configure the [Dockerfile](https://github.com/serengil/deepface/blob/master/Dockerfile) if you want to apply some customization. Then, even if you do not have a development environment, you will be able to consume deepface services such as verify and analyze. You can also access the inside of the docker image to run deepface related commands. Please follow the instructions in the [shell script](https://github.com/serengil/deepface/blob/master/scripts/dockerize.sh).
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The following command set will serve deepface on `localhost:5005` via docker. Then, you will be able to consume deepface services such as verify, analyze and represent. Also, if you want to build the image by your own instead of pre-built image from docker hub, [Dockerfile](https://github.com/serengil/deepface/blob/master/Dockerfile) is available in the root folder of the project.
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```shell
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cd scripts
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./dockerize.sh
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docker pull serengil/deepface
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docker run -p 5005:5000 serengil/deepface
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```
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<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/deepface-dockerized-v2.jpg" width="50%" height="50%"></p>
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