We all know pip is the most important command while installing, upgrading, or managing any Python library. If you are new to Python you may face “pip is not recognized as an internal or external command” error while installing any package, this article is to show you different methods to solve or bypass this error. …
pip is not recognized as an internal or external command Read More »
Today I faced one error in Jupyter Notebook saying “500 : Internal Server Error“. I spent lots of time to solve this error. But trust me you will be shocked to see that how simple the solution is. Error Details Today I created a fresh conda virtual environment for Python 3.8 using below command: Now …
In this post, I will show you how you can save huggingface model locally inside your working directory or custom folder path. If you are looking to save or load TF-Hub model in custom folder path, I have written another tutorial, you can check that. Nowadays deep learning models are getting popular day by day. …
Huggingface: Download and Save Model to Custom Path Read More »
While downloading TF Hub (Tensorflow Hub) pre-trained model, it saves all files to your cache directory inside C:\ drive. But in practice the model should be inside your working directory. In this tutorial, I will show you how you can download and save TF Hub model to a custom path (folder) and load it whenever …
How to Save/Load TF Hub model in custom folder path Read More »
If you are working or learning Python then you must use different packages or libraries to develop something new. For some projects sometimes you may need to install multiple packages at once. In this post, we will explore different ways to install multiple packages in Python using pip or without pip.
MiniConda is a package management and installation system for machine learning libraries and tools. It provides and easy way to install and update libraries. In this tutorial, I will show you how to install MiniConda and set up the the best environment for machine learning with little space without losing efficiency.
Are you struggling to install Tensorflow with GPU and jupyter notebook in your windows system? This step by step tutorial will assure you for doing that.
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. Before that let’s understand why python virtual environment is required. Why …
