Simple Computer Vision with PyTorch

What is Computer Vision?

• Computer Vision with PyTorch involves using the PyTorch deep learning framework to develop, train, and deploy models that interpret and understand visual data from the world. This includes tasks such as:

• Image Classification – Identifying objects in images.

• Object Detection – Locating and classifying multiple objects.

• Semantic & Instance Segmentation – Understanding pixel-level labels.

• Image Generation – Using GANs and VAEs to create realistic images.

• Pose Estimation, Face Recognition, and more.

What is PyTorch?

• PyTorch provides a flexible, Pythonic API and dynamic computation graph, making it ideal for both research and production. Its ecosystem includes powerful tools like:

• torchvision for datasets, models, and transforms.

• torch.nn for building custom neural networks.

• GPU acceleration and autograd for efficient training.