If you are working on deep learning or real-time video processing project using Opencv (like Object Detection, Social Distance detection), you will face lags in the output video (less frame rate per second), you can fix this lag using GPU if your system has NVIDIA GPU (NVIDIA Graphics card). OpenCV library can be used for both CPU and GPU.
You must install OpenCV for GPU if your system allows you. if you are working on deep learning or video processing project like Object Detection, Social Distance detection, you will face lags in the output video (less frame rate per second), you can fix this lag using GPU if your system has NVIDIA GPU (NVIDIA Graphics card).
It’s easy to install OpenCV for GPU on the Linux machine but it is hard for Windows. That is why I am making this post.
What is virtual environment? Virtual environment is a space or tool which helps to keep libraries or packages for different projects separate by creating virtual environments. In this post I will list down all popular commands to work with python virtual environment with Anaconda. But before that let’s understand why python virtual environment is required. …
NLTK is a most popular package among all NLP packages available for Python. It can be used to solve all kind of basic to advanced level of NLP task. Important thing is NLTK requires lots of data or corpus to process any NLP task. Without those NLTK can’t do anything. For example if you are …
