From the course: Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV

Setting up PyCharm and overview of course files

- [Instructor] We will use the Python programming language and a powerful Python IDE PyCharm to work with all the course code files. Before we begin, make sure Python is installed on your machine. If it's not, you can download it from the official website. This course uses Python 3.10.8 for development. Next, click the Download button. Then select your operating system. Scroll down a bit. Here you will find PyCharm Community Edition. For consistency, we will be using PyCharm Community Edition 2024.3.5 in this course. Next, click on Download. Once done, install it. If you have access to exercise files, you can download them on the desktop as I have downloaded here. Inside the directory, there are a lot of subdirectories. Each subdirectory name include the chapter name and the video file name. Let's say in case of 01-04, 01 is the course chapter, and 04 is the video number. That means O1-04 is the course code file for video four of chapter one. In same way, we also have O2-O2. That means the second video of chapter two course code files. We also have the requirements.txt file. Inside that, we have the dependencies for the course. For example, Ultralytics Python package, Streamlit Label Studio, and split-folders. These are the libraries that we will need to install for this course. If PyCharm installation is complete, open the exercise files folder with PyCharm. Here you can see different exercise files that we'll use in this course. In the bottom, you can see No Interpreter. Click on this and select Python that you already installed on your local machine. It will take maybe two to three minutes to discover all the modules of Python package and adjust it for the PyCharm project. Once done, we are all set. Next, if you want to access the terminal on Windows, you can press Alt + F12. However, you can also access the terminal by clicking on the bottom sidebar on left side. So you're all set. Next, we need to install the requirements for our course. Let's open the terminal. Let's clear the terminal. Okay, here, we will run the command, pip install -r requirements.txt. It will download and install all the dependencies for this course. Once done, we are good to go. Let's start this course.

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