Introduction to YOLOv7 Train and Deployment
Discover how to train and deploy the YOLOv7 object detection model starting from dataset preparation to model optimization. Learn to manipulate configuration files, use TensorBoard for training visualization, convert models to ONNX, and run inference on edge devices. This lesson equips you with practical skills to fully implement and customize YOLOv7 for real-world applications.
We'll cover the following...
We'll cover the following...
Understanding a model’s theory and structure and knowing how to use it in practice are important. In this lesson, we will examine the official repository of YOLOv7 and learn how to manipulate the configuration files according to our needs. We will also review how to prepare the custom dataset in the correct structure for proper training. ...