Convolutional neural networks (CNN) is a computer vision and image processing method based on neural networks. In this article, we will introduce the principles of various layers in CNN.
Convolutional neural networks (CNN) is a computer vision and image processing method based on neural networks. In this article, we will introduce the principles of various layers in CNN.
Open Neural Network Exchange (ONNX) is a model format defined by several major manufacturers. ONNX Runtime is a library that can execute ONNX models. It was developed by Microsoft. It supports multiple platforms, including Android.
PyTorch is a machine learning library developed by Meta. YOLOv8 also uses Pytorch internally. In addition to Python environments, we can now use PyTorch in non-Python environments.
Non maximum suppression is a technique used in object detection to filter bounding boxes generated by object detection algorithms. If we don’t use NMS, we will get an image with dense frames.
YOLO (You Only Look Once) is a popular object detection model. Its high performance and high accuracy made it popular quickly. This article will introduce how to use YOLOv8 for object detection.