Click belowCard to follow “Machine Vision and AI Deep Learning“ Visual/Image processing insights delivered promptly! This project is named SPEED-SAM-C++-TENSORRT, a high-performance implementation of the Segment Anything Model (SAM), utilizing NVIDIA’s TensorRT for efficient inference and optimizing GPU utilization with CUDA. Below is a detailed introduction to how this implementation works, how to compile it, … Read more
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
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
1. Overview The structure of onnx-runtime is as follows: Overall, this is a heterogeneous model execution framework that first performs hardware-independent graph optimization on the original ONNX model, retrieves the operator library corresponding to the currently supported hardware, then splits the model into multiple sub-models, and finally dispatches them to various hardware platforms for execution. … Read more
The Objective of This Article This article will practice the PPOCR example 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 other … Read more
Word count: 1803, reading time approximately 10 minutes Those who have used comfyui should be aware of the stunning effects of the RMBG model for removing image backgrounds. For a long time, it has been one of the best-performing open-source matting models. The RMBG model can achieve hair-level background segmentation, which has significant applications in … 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