Learn Data Science using Python

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 Linux environment). We

Another post starts with you beautiful people! I hope you have enjoyed my  last post   about using real time object detection system- Yolo with keras api. In that post I mentioned that Yolo is built on Darknet framework and this framework is written on C and cuda. That's why we used Python wrapper of Darknet  framework instead of installing original framework. Many readers asked me about how can we install and use the original framework in our window machine. In this post I will try to show you the steps about this installation. Before following the steps I strongly recommend you to activate virtual env and install all libraries I have mentioned in my  last post . For this setup I have followed this original github repository-  AlexeyAB/darknet   . this repo is as same as original Darknet repo with additional Windows support. So don't forget to give a star to this repo as a token of our respect to the author. If you are reading my blog first time, then I recommend to rea