Custom YOLOv5 Model Deployment on ELF2 Development Board
Prepraing Custom Dataset
Organize VOC-format dataset with this directory structure:
VOC_CUSTOM/
├── Annotations/
├── ImageSets/
│ └── Main/
└── JPEGImages/
Execute dataset splitting script:
# dataset_split.py
import os
import random
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--xml_path', default='Annotations/', ...
Posted on Fri, 31 Jul 2026 16:42:10 +0000 by richardjh
Deploying RKNN Models: Evaluation and Inference Testing
Differences Between Loading Native and RKNN-Converted Models
Models developed in frameworks like PyTorch, TensorFlow, or ONNX must be converted into the proprietary RKNN format to leverage Rockchip’s NPU aceleration. The RKNN format is optimized for Rockchip’s neural processing units, enabling efficient execution on embedded platforms such as t ...
Posted on Mon, 15 Jun 2026 18:27:05 +0000 by dwest
Deploying YOLOv8 on ITX-3588J with RKNN Toolkit
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 ...
Posted on Fri, 15 May 2026 17:39:35 +0000 by BenMo