Learn Data Science using Python

Another post starts with you beautiful people 😊 Thank you all for messaging me your doubts about Darknet's YOLOv4. I am very happy to see in a very short amount of time my lovely aspiring data scientists have learned a state of the art object detection and recognition technique. If you are new to my blog and to computer vision then please check my following blog posts one by one- Setup Darknet's YOLOv4 Train custom dataset with YOLOv4 Create production-ready API of YOLOv4 model Create a web app for your YOLOv4 model Since now we have learned to use YOLOv4 built on Darknet's framework. In this post, I am going to share with you how can you use your trained YOLOv4 model with another awesome computer vision and machine learning software library-  OpenCV  and of course with Python 🐍. Yes, the Python wrapper of OpenCV library has just released it's latest version with support of YOLOv4 which you can install in your system using below command- pip install opencv-pyt...

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...