最新HONGHU PX
盒子裡有
Your Jetson Nano Developer Kit box includes:
Jetson Nano Developer Kit
一片開發板
Small paper card with quick start and support information
關於quick start and support information的紙卡
Folded paper stand
折起來的紙架
盒子裡沒有但是你應該要用到的
You’ll also need:
microSD card (16GB UHS-1 minimum)
USB keyboard and mouse
Computer display (either HDMI or DP)
Micro-USB power supply (5V⎓2A)
microSD Card
Jetson Nano開發板需要使用microSD卡當作開機設備,而且要夠大夠快以符合你的專案需求:因此建議最少要16GB UHS-1 card.
The Jetson Nano Developer Kit uses a microSD card as a boot device and for main storage. It’s important to have a card that’s fast and large enough for your projects; the minimum recommended is a 16GB UHS-1 card.
See the instructions below to flash your microSD card with operating system and software.
Micro-USB Power Supply
你會需要提供一個品質夠好的5V-2A電源供應器給開發板.並非所有額定電壓為“5V⎓2A”的電源供應器都會達到此目的.(已經有不少人在這裡敗下陣了)
You’ll need to power the developer kit with a good quality power supply that can deliver 5V⎓2A at the developer kit’s Micro-USB port. Not every power supply rated at “5V⎓2A” will actually do this.
做為一個夠好的電源供應器,NVIDIA驗證了這款5V 2.5A Switching Power Supply with 20AWG MicroUSB Cable.他是特別設計用來克服USB電源供應器常見的問題的,詳情請看連結.
As an example of a good power supply, NVIDIA has validated Adafruit’s 5V 2.5A Switching Power Supply with 20AWG MicroUSB Cable (GEO151UB-6025). It was specifically designed to overcome common problems with USB power supplies; see the linked product page for details.
選配
Wireless Networking Adapter
無線網路配接器
Jetson Nano Developer Kit includes a gigabit Ethernet port, but also supports many common USB wireless networking adapters, e.g., Edimax EW-7811Un.
Nano開發板已經有一個gigabit網路孔了,還是支持常見的USB無線網路配接器,像是Edimax EW-7811Un.
把映像檔寫到microSD卡
To prepare your microSD card, you’ll need a computer with Internet connection and the ability to read and write SD cards, either via a built-in SD card slot or adapter.
準備好你的microSD卡外還需要一台能連上網的電腦而且要能夠透過SD卡插槽獲配接器讀寫SD卡.
Download the Jetson Nano Developer Kit SD Card Image, and note where it was saved on the computer.
從這裡下載jetson-nano-dev-kit-sd-card-image,並且記得它存在哪裡.
2.Write the image to your microSD card by following the instructions below according to the type of computer you are using: Windows, Mac, or Linux.
根據您使用的電腦類型,進入以下連結說明將映像檔寫入microSD卡:Windows,Mac或Linux。
Unfold the paper stand and place inside the developer kit box.
展開紙架並放入開發板盒內。
2.Set the developer kit on top of the paper stand.
將開發板放在紙架頂部。
3.Insert the microSD card (with system image already written to it) into the slot on the underside of the Jetson Nano module.
將microSD卡(系統映像已寫入其中)插入Jetson Nano模組底部的插槽中。
4.Power on your computer display and connect it.
打開顯示器電源並連接它。
5.Connect the USB keyboard and mouse.
街上USB鍵盤和滑鼠.
6.Connect your Micro-USB power supply (5V⎓2A). The Jetson Nano Developer Kit will power on and boot automatically.
接上Micro-USB電源供應器(5V⎓2A).Jetson Nano 開發板會自動開機啟動.
A green LED next to the Micro-USB connector will light as soon as the developer kit powers on. When you boot the first time, the Jetson Nano Developer Kit will take you through some initial setup, including:
開發板開機後,Micro-USB連接器旁邊的綠色LED指示燈將亮起。
Review and accept NVIDIA Jetson software EULA
查看並接受NVIDIA Jetson軟件EULA
Select system language, keyboard layout, and time zone
選擇系統語言,鍵盤佈局和時區(我會建議選擇英文,因為不知道會不會有檔案夾用中文命名 而必須在命令列模式切換移動這類狀況)
Create username, password, and computer name
建立用戶名,密碼和電腦名稱
Log in
登入
You will see this screen. Congratulations!
你會看到這個屏幕。恭喜!
Read the Jetson Nano Developer Kit User Guide, which includes:
Many more details about the developer kit hardware.
Explanations of all the components of NVIDIA JetPack, including developer tools with support for cross-compilation.
Lists of all included samples and sample documentation.
Head to the NVIDIA Jetson Developer Zone for access to all Jetson platform information.
Ask questions or share a project on the NVIDIA Jetson Forums.
The Jetson Nano Developer Kit is an AI computer for learning and for making.
Check out the Jetson Projects Page for resources including:
Get started with deep learning inference for computer vision using pretrained models for image classification and object detection.
Realtime acceleration with TensorRT and live camera streaming.
Code your own recognition program in C++.
For those interested in training their own networks, take the full Two Days to a Demo which includes both training and inference.
JetBot is an open-source AI project for makers, students and enthusiasts who are interested in learning AI and building fun applications.
It’s easy to set up and use and is compatible with many popular accessories.
Several interactive tutorials show you how to harness the power of AI to teach JetBot to follow objects, avoid collisions and more.
JetBot is a great launchpad for creating entirely new AI projects.
Create your own!
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.
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.