From the course: Deep Learning and Computer Vision: Object Detection with PyTorch
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Setting up the environment - PyTorch Tutorial
From the course: Deep Learning and Computer Vision: Object Detection with PyTorch
Setting up the environment
- [Instructor] Welcome to this video on setting up the environment for object detection models. Before we dive deep into coding and training models, it's crucial to set up a working environment with all the necessary packages. Let's install PyTorch, create a basic project structure, and verify the setup. Let's start by installing PyTorch, which is the core library we'll use. In the terminal, we'll run the following command. This command installs PyTorch along with Torchvision, which includes utilities for computer vision task. We'll also install a few additional packages like Marplotlib and OpenCV for image processing and utilization. These packages will help us manipulate and display images during our training and evaluation process. Next, let's create a basic directory structure for our project. A well organized structure helps keeps everything in order as a project grows. Here's an example layout on the left side. We can create these folders inside our project directory. The data…
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