I received a Raspberry Pi 4 for Christmas and was genuinely excited. I had every intention of setting it up, experimenting, and turning it into something cool. But a few months later? It’s still in ...

Applications have been continuously improved in object detection algorithms. We used the Convolutional Neural Network to build a system with the Raspberry Pi Microcontroller and NVIDIA Jetson Nano to ...

Abstract: For real-time object detectors, accuracy and efficiency are two important considerations. In this paper, we propose a lightweight anchor-free detector, MAOD, to better balance efficiency and ...

It's designed for real-time object detection and tracking in video streams, using YOLOv8 for detection and ByteTrack for multi-object tracking. It is suitable for tracking objects in video footage, ...

This is the official implementation of PillarNet, a simple and high-performance pillar-based framework for 3D object detection. For more details, please refer to: @article{shi2022pillarnet, ...