Hello everyone, this is Coding Tea Room. Today we will learn how to use MATLAB for deep learning object detection, taking the RCNN algorithm as an example to complete a small project for traffic sign detection. 1. Introduction to the RCNN Algorithm In the development of object detection, RCNN (Region-based Convolutional Neural Network) is a … Read more
The previous article “Exploring ESP-DL with ESP32-P4: Implementing Face, Human, and Cat Detection” introduced the integration of the ESP-DL module into MicroPython, achieving functionalities such as face detection, human detection, and cat detection. This note continues to share the implementation of YOLO v11 object detection based on ESP-DL. 1. Development Board Introduction The latest release … Read more
In previous articles, it was mentioned that the TAO toolkit abstracts most of the technical challenges in model training, significantly reducing the burden on developers,but the collection and organization of datasets still need to be handled manually, which is almost the last task left for operators. Most issues regarding datasets involve the conversion of annotation … Read more
★ 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
Description Deploying YOLOv8 on Wildfire RK3588, we will 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 the following address: https://github.com/airockchip/ultralytics_yolov8 After downloading the code, execute the model conversion with the following code: from ultralytics import … Read more
Using traditional methods like OpenCV and FFmpeg for real-time video software decoding, performance is limited on low-configuration edge computing terminals. Taking the following configuration as an example:On this configuration of the edge computing terminal, running 4 channels of real-time video decoding, the CPU usage reaches nearly 100%.Using the RKMMP solution can effectively reduce CPU usage. … Read more
Produced by Big Data Digest Compiled by: Zhu Yihui, Xue Qing, Xiao Yu Can object detection be achieved with just 10 lines of code?! The author of this article and his team have built a Python library called ImageAI, which integrates popular deep learning frameworks and computer vision libraries. This article will guide you step-by-step … Read more
Author of this article: Reprinted from: https://medium.com/swlh/nvidia-jetson-nano-custom-object-detection-from-scratch-using-tensorflow-and-opencv-113fe4dba134 The purpose of this blog is to guide users in creating a custom object detection model optimized for performance to be used on the NVidia Jetson Nano. Table of Contents: Required Materials Creating a Custom Dataset Preprocessing Labeling Creating TFRecords CNN Training Model Installing Raspberry Pi Camera on … Read more
The Objective of This Article This article will practice the MobileNet image classification example in the RKNN Docker environment and deploy it to the RK3588 development board using the adb tool. For an introduction to MobileNet, please refer to the previous article. Development Environment Description Host System: Windows 11 Target Device: Android development board equipped … Read more