Deploying YOLOv8 on Wildfire RK3588

Deploying YOLOv8 on Wildfire RK3588

Description Deploying YOLOv8 on Wildfire RK3588, we use yolov8s.pt (downloaded from the YOLOv8 official website) as an example. 1. pt->onnx Do not use the official YOLOv8 code; instead, use the Rockchip YOLOv8 code, available at https://github.com/airockchip/ultralytics_yolov8 After downloading the code, execute the model conversion with the following code: from ultralytics import YOLO model = YOLO('yolov8s.pt') … Read more

Using the RK3588 Chip NPU: YOLOv8-Pose Example for Image Detection Deployment on Android System and In-Depth Source Code Analysis (RKNN API)

Using the RK3588 Chip NPU: YOLOv8-Pose Example for Image Detection Deployment on Android System and In-Depth Source Code Analysis (RKNN API)

1. Objective of This Article Adapt the YOLOv8-Pose example for the Android platform, providing functionality for pose recognition after selecting an image. Learn the source code and RKNN API through the project. 2. Development Environment Description Host System: Windows 11 Target Device: Android development board equipped with RK3588 chip Core Tools: Android Studio Koala | … Read more

Deploying YOLOv8 on Wildfire RK3588

Deploying YOLOv8 on Wildfire RK3588

Description Deploying YOLOv8 on Wildfire RK3588, we use yolov8s.pt (downloaded from the YOLOv8 official website) as an example. 1. pt->onnx Do not use the official YOLOv8 code; instead, use the Rockchip YOLOv8 code, available at https://github.com/airockchip/ultralytics_yolov8 After downloading the code, execute the model conversion with the following code: from ultralytics import YOLO model = YOLO('yolov8s.pt') … Read more

Using the RK3588 Chip NPU: Compiling YOLOv8-Pose C Demo in Windows 11 Docker and Running on Development Board

Using the RK3588 Chip NPU: Compiling YOLOv8-Pose C Demo in Windows 11 Docker and Running on Development Board

The Objective of This Article This article will compile the YOLOv8-Pose C Demo in the RKNN Docker environment and deploy it to the RK3588 development board using the adb tool. Development Environment Description Host System: Windows 11 Target Device: Android development board equipped with the RK3588 chip Core Tools: Docker image containing rknn-toolkit2, rknn_model_zoo, and … Read more

RK3588 Edge Computing Application: Detection of Walnut Ripeness

RK3588 Edge Computing Application: Detection of Walnut Ripeness

RK3588 Edge Computing Application: Detection of Walnut Ripeness Over the past 60 years, despite the discontinuation of neon tubes, many engineers still have a fondness for them. I created a simulated neon tube clock using 8 LCD screens to experience the aesthetic of retro elements and pay homage to classic designs from the past. The … Read more

Camera Image Acquisition and Recognition Based on YoloV8 and USB Fisheye Camera

Camera Image Acquisition and Recognition Based on YoloV8 and USB Fisheye Camera

Personal Introduction: I am a graduate student majoring in Communication and Information Systems. My research focuses on intelligent optimization algorithms, drone trajectory planning, fine-tuning large language models, and deployment in specific scenarios. If you have any programming questions or customized needs, feel free to contact me through my public account. 1. Introduction Recently, I received … Read more