You can create the Ready-to-Make project by clicking: You will not be charged again for those resources if they are used in another project. Tip: When purchasing a project, you are actually purchasing the images/fonts/patterns used in that project, and they are added to your account permanently. It lists all the details you will need to create the project, including: Once you click on a project that you would like to make, the project details screen will open. To make a project, all you need to do is gather your supplies and go.įrom the Design Space Projects page, you can scroll through the hundreds of Ready-to-Make projects. To select a project category, use the Categories menu or search bar located at the top of the screen on a Windows/Mac computer, or at the top of the screen when on the Home tab in the Design Space mobile app. New projects are added on a regular basis. These Ready-to-Make projects include everything from home décor to fashion to paper crafting and even a variety of FREE projects. Many popular AI frameworks like TensorFlow, PyTorch, Caffe, and MXNet are supported, and Jetson Nano is capable of running multiple neural networks in parallel to process data and drive action.Design Space features Ready-to-Make projects created by professional artists.Jetson Nano Developer Kit offers useful tools like the Jetson GPIO Python library, and is compatible with common sensors and peripherals, including many from Adafruit and Raspberry Pi.JetBot is a great launchpad for creating entirely new AI projects.Several interactive tutorials show you how to harness the power of AI to teach JetBot to follow objects, avoid collisions and more.It’s easy to set up and use and is compatible with many popular accessories.JetBot is an open-source AI project for makers, students and enthusiasts who are interested in learning AI and building fun applications.Code your own recognition program in C++.Realtime acceleration with TensorRT and live camera streaming.Get started with deep learning inference for computer vision using pretrained models for image classification and object detection.Enroll Now > Check out the Jetson Projects Page Earn certificates when you complete these free, open-source courses. Get the critical AI skills you need to thrive and advance in your career. NVIDIA’s Deep Learning Institute delivers practical hands-on training and certification in AI at the edge for developers, educators, students and lifelong learners. Once connected to the developer kit, hit SPACE if the initial setup screen does not appear automatically. To terminate your screen session, press C-a + k ( Ctrl + a, then k), then press y on confirmation. $ sudo screen /dev/ttyACM0 115200 Terminate screen Use the device name discovered previously as a command line option for the `screen` command. For example, use this command to install Screen if you are running Ubuntu. Install the Screen program on your Linux computer if it is now already available. $ ls -l /dev/ttyACM0Ĭrw-rw- 1 root dialout 166, 0 Oct 2 02:45 /dev/ttyACM0 Screen command The new serial device is for your Jetson developer kit. cdc_acm 1-5:1.2: ttyACM0: USB ACM device $ dmesg | grep -color 'tty'Ĭonnect your Linux computer to the developer kit’s Micro-USB port and run the same command to find what’s newly added. Before connecting to your Jetson developer kit for initial setup, check to see what Serial devices are already shown on your Linux computer.
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