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Showing posts with the label Docker

How I 'Dockerized' my deep learning project?

Another post starts with you beautiful people! I hope you have enjoyed my last two posts about  Yolo   system   and now you are well aware of using Yolo with kers api as well as Yolo with Darknet framework in your Windows machine. I know Linux is the most suitable environment for production ready configurations, but like me there are many Windows users who find sometime very difficult to setup an environment. In my previous post I have shared my  Python setup requirements  which you can use to setup Python computer vision environment in Windows. Continuing my knowledge sharing journey, today I am going to share you how can we setup and use Docker with our Python project. What is Docker? Generally in our Python project structure we use a requirements.txt file where we define Python library name as key and it's version as value. This file is used to install required Python libraries when we deploy our code to new environment ( for example from Windows to Li...