★ Embedded AI Series – Code Analysis of YOLOv3 Deployment on RV1126 – Post-Processing 2 ” 1. Introduction The previous article “Embedded AI Series – Code Analysis of YOLOv3 Deployment on RV1126 – Post-Processing 1” focused on the knowledge related to the output tensor data of the YOLOv3 model. Understanding this knowledge can help us … Read more
★ Embedded AI Series – Code Analysis of YOLOv3 Deployment on RV1126 – Post-Processing 1 ” 1. Introduction After executing inference and obtaining the inference results in the previous article, the next step is to parse and process the inference results, commonly referred to as “post-processing.” The knowledge points involved in the post-processing section are … Read more
★ Embedded AI Series – Analysis of YOLOv3 Model Deployment Code – Overall Process ” 1. Introduction In the previous article “Embedded AI Series – Deploying YOLOv3 Model on RV1126”, we provided the C++ source code project for deploying the YOLOv3 model in RKNN format on the RV1126 hardware platform and demonstrated the detection capabilities … Read more
★ Embedded AI Series – Converting YOLOv3 Model Using RKNN Toolkit ” 1 Introduction Since my development work is primarily focused on AI applications in machine vision, the commonly used model is the YOLO model. Therefore, I will demonstrate the conversion of the YOLOv3 model using the example code from the RKNN toolkit in the … Read more
Click the “Machine Vision” above, then click the top right corner… select “Pin/Star“Public Account to receive the latest articles! Source: Translated by Machine Heart Original article link: https://towardsdatascience.com/i-built-a-diy-license-plate-reader-with-a-raspberry-pi-and-machine-learning-7e428d3c7401 Author:Robert Lucian Chiriac Translated by Machine Heart Out of boredom, we equipped our beloved car with a Raspberry Pi, paired it with a camera, designed a client, … Read more
(For Python developers, add a star to improve Python skills) Source: Machine Heart With some free time, we equipped our car with a Raspberry Pi, added a camera, designed a client, and completed a real-time license plate detection and recognition system. How to build an intelligent car system without changing the car? For some time … Read more