Freaks City

The Hybrid Convolution and Attention Network (HCANet) introduced a Convolution and Attention Fusion Module (CAFM) that jointly models local features via convolutions and global context via self‑attention. This design is particular beneficial for detecting small objects, where fine spatial details and long‑range dependencies both matter. In this ...

Environment Setup Download Source Code Obtain the official YOLOv8 repository from the GitHub project page. Install Required Dependencies Configure PyTorch environment following standard installation procedures available online. Prepare Your Dataset This example uses a fruit detecsion dataset. The directory structure should follow this pattern: ...

Multi-Object Tracking (MOT) extends object detection by assigning a persistent ID to detected entities across video frames. While detection models like YOLO identify objects in individual frames, MOT ensures continuity, recognizing that an object in frame t is the same as in frame t+1. Algorithms such as SORT and DeepSORT have historically domi ...

Environment Setup Target Device Configuration Refer to previous documentation regarding ITX-3588J development board setup. This guide assumes usage of rknn-toolkit2-lite version 2.0 with updated board drivers and toolkit. Host Development Environment The PC-side toolkit has compatibility limitations with Windows systems. Ubuntu-based environmen ...