This article will use the Jetson Nano to create a very simple cat-dog classifier, utilizing PyTorch’s ImageFolder to create the dataset and DataLoader to load the dataset, and learning to train with a self-built CNN. Finally, we will extract test images for prediction. Jetson Nano Remote Setup Today we will operate on the Jetson Nano … Read more
**The Jetson Nano 2GB is a high-performance, cost-effective embedded platform from NVIDIA. Although small, it is powerful, but unfortunately, it lacks native Android system support. Currently, to experience Android on the Jetson platform, one can run an Android system in a virtual machine or use a platform like Anbox. Anbox is developed based on containers … Read more
NVIDIA Jetson Nano has sparked a wave in the global AIOT edge computing application field since its launch in 2019. It was awarded “Best AI Processor” in the 2020 Best Vision Products list published by the Edge AI and Vision Alliance. This is mainly because the NVIDIA Jetson Nano chip fully meets the six major … Read more
In the previous article of this series, we introduced the visual function library. In this article, we will guide you through the installation and usage of cameras. In both AI deep learning and IoT applications, visual processing occupies a significant usage proportion, and cameras are the most commonly used data source devices. This article will … Read more
In the first article of this series, we introduced the interfaces of the Jetson Nano and the peripherals needed. In this article, we will guide you on how to start the Jetson Nano Developer Kit. Before starting the Jetson Nano Developer Kit, we need to install the system package on this TF card. First, prepare … Read more
Soybeans are one of the world’s major oilseed crops and are the primary raw materials for producing protein and oil. They are widely cultivated around the world and are often used to make soybean products. To ensure the continuous growth of soybean yield, more high-quality seeds are needed for planting. Therefore, effectively screening excellent soybean … Read more
Original by Interogativ Guo Yipu, Compiled by Quantum Bit Report | Public Account QbitAI The NVIDIA Jetson Nano, as the cheapest hardware from NVIDIA, costs only $99. Seeing it cheap makes you want to grab it, but how do you play with it once you have it? Building robots, creating small cars, or DIYing a … Read more
By utilizing edge AI technology, robotics developer Kabilan KB, an undergraduate at Kalyani Government Engineering College, is dedicated to improving the mobility quality for people with disabilities. With the assistance of artificial intelligence, robots, tractors, and baby strollers (and even skateboard parks) are achieving autonomous development. A developer named Kabilan KB is applying autonomous navigation … Read more
Jetson UsersExclusive Thank youfor bringingusvarious surprises [Preface] This article has actually been published multiple times on our official account. Whenever NVIDIA releases embedded products, I feel it’s necessary for users to take a look before deciding to purchase. Since the release of NVIDIA’s first embedded development kit, Jetson TK1, Jipu Xun has established a user … Read more
The Jetson TX2 development kit is expected to be discontinued in December (This information is very important for users still using the Jetson TX2 development kit!) Some users asked me: What about the Jetson TX2 module? Will it also be discontinued? To answer this question, we need to understand the NVIDIA Jetson hardware and software … Read more