Learn Data Science using Python

Another post starts with you beautiful people! Last year I had shared a post about  installing and compiling Darknet YOLOv3   in your Windows machine and also how to detect an object using  YOLOv3 with Keras . This year on April' 2020 the fourth generation of YOLO has arrived and since then I was curious to use this as soon as possible. Due to my project (built on YOLOv3 :)) work I could not find a chance to check this latest release. Today I got some relief and successfully able to install and compile YOLOv4 in my machine. In this post I am going to share a single shot way to do the same in your Windows 10 machine. If your machine does not have GPU then you can follow my  previous post  by just replacing YOLOv3 related files with YOLOv4 files. For GPU having Windows machine, follow my steps to avoid any issue while building the Darknet repository. My machine has following configurations: Windows 10 64 bit Intel Core i7 16 GB RAM NVIDIA GeForce G...

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, th...