Technical requirements
In this chapter, you will need to install the Ultralytics, PyYAML, and Roboflow packages.
Ultralytics is a popular open source Python library for building high-performance computer vision and deep learning models. It provides implementations of state-of-the-art object detection and image segmentation models including YOLO that can be trained on custom datasets.
PyYAML is a Python library used for reading and writing YAML files. YAML is a human-readable data serialization format. PyYAML allows loading YAML data from files or strings into Python data types such as dictionaries and lists. It can also dump Python objects back into YAML strings.
Roboflow, as presented in earlier chapters, is a platform that helps with preparing and managing datasets for computer vision models. It provides tools to annotate images, create training/test splits, and export labeled datasets in formats that are usable by deep learning frameworks such as PyTorch. Roboflow also...
