9 篇文档带有标签「Object Detection」

本教程介绍如何在视频流上运行实时推理。假设您已经熟悉 Astra 开发板的设置。如果不熟悉，请参考设置教程。

A lightweight MobileNet model optimized for people detection on high-resolution images.

A MobileNet model optimized for object detection on the COCO dataset with full resolution at 224x224 and 80 classes.

A PoseNet model using MobileNet architecture with 75% width multiplier for efficient body pose estimation.

A quantized PoseNet model using MobileNet architecture with 75% width multiplier for efficient and optimized body pose estimation.

A YOLOv5m model for object detection optimized for 640x480 resolution, offering a balance between speed and accuracy.

A YOLOv5s model for object detection optimized for 640x480 resolution, suitable for real-time applications.

A YOLOv5s model specialized for face detection, optimized for 640x480 resolution using ONNX with mixed quantization.

A YOLOv8s model specialized for body pose estimation, optimized for real-time applications.