Star + Top to master cutting-edge embedded AIoT technology newsLike + Follow, let’s become even better together! Description of Software and Hardware Devices in the Development Environment PC Host: Windows 11 (32GB RAM, 1TB SSD) Virtual Machine: Ubuntu 22.04 (allocated 16GB RAM, 512GB disk) Development Board: ELF2 (RK3588 4G+32G), running Ubuntu 22.04 Desktop system After … Read more
RKNN is the model type used by the Rockchip npu platform, with model files ending in .rknn. Rockchip provides a complete model conversion Python tool, making it convenient for users to convert their self-developed algorithm models into RKNN models. Additionally, Rockchip offers C/C++ and Python API interfaces. Use RKNN-Toolkit2 on a computer to complete model … Read more
Click the blue text above to follow us WeChat public account:OpenCV Developer Alliance Follow for more knowledge on computer vision and deep learning What do deep learning engineers do? Deep learning has transformed many industries, and deep learning engineers have become high-paying professions. However, there is also a growing trend of internal competition. In the … Read more
MEGAWAY TECHNOLOGY RK3588 YOLOv5s Model Deployment and Evaluation 01/ Model Overview Model Name: YOLOv5s Model Type: Classification Model Official Repository: GitHub – ultralytics/yolov5: YOLOv5 in PyTorch> ONNX > CoreML > TFLite V7.0 Model Parameters (PARAMS): 7225885 Model Computation (FLOPS): 16.4 GFLOPs Deployment Device: RK3588 Deployment Environment: Ubuntu20.04/rknn_toolkit2 V1.6.0/OpenCV4.5.1 02/ Model Analysis YOLOV5 model outputs three … Read more