Building Environments in Local Machines
Explore how to build and manage local Python environments with Anaconda for image classification and object detection projects using PyTorch. Understand creating isolated environments with different Python versions, installing necessary libraries, and configuring GPU support. Learn to set up environments for datasets and models like Open Images and YOLOv7, enabling smooth project development and deployment.
Downloading Anaconda
Anaconda helps create an environment for many different versions of Python and package versions. Additionally, we will have important IDEs like Jupyter Notebook and Spyder to create and run our Python projects. As we used Jupyter Notebook files (.ipynb) in this course, we can easily run them in our notebook too.
You can download the latest version of Anaconda.
Local environment for image classification
Let’s start by discovering how to build a local environment for image classification projects.
Creating an isolated environment in Anaconda
Considering different tasks need different libraries and frameworks with different compatible versions, creating an ...