LEETOP ALP-609 Jetson Orin NX

Notice

• Please read the manual carefully before installing, operating, or transporting the Leetop device.
• Ensure that the correct power range is being used before powering the device.
• Avoid hot plugging.
• To properly turn off the power, please shut down the Ubuntu system first, and then cut off the power. Due to the particularity of the Ubuntu system, on the Nvidia developer kit, if the power is turned off when the
• startup is not completed, there will be a 0.03% probability of abnormality, which will cause the device to fail to start. Due to the use of the Ubuntu system, the same problem also exists on the Leetop device.
• Do not use cables or connectors other than those described in this manual.
• Do not use a Leetop device near strong magnetic fields.
• Back up your data before transportation or the Leetop device is idle.
• Recommend transporting the Leetop device in its original packaging.
• Warn! This is a Class A product, in a living environment this product may cause radio interference. In this case, the user may be required to take practicable measures against the interference.
• Working in a high-temperature environment for a long time, it is not recommended to touch the shell to avoid burns.
• Dismantling the machine without consent is regarded as a waiver of the warranty.

Service and Support

Leetop is glad to help you with any questions you may have about our product, or about the use of the technology for your application. The fastest way is to send us an email: [email protected]

Warranties

Warranty period: One year from the date of delivery. Warranty content: Leetop warrants the product manufactured by us to be free from defects in material and workmanship during the warranty period. Please contact [email protected] for return material authorization (RMA) prior to returning any items for repair or exchange. The product must be returned in its original packaging to prevent damage during shipping. Before returning any product for repair, it is recommended to back up your data and delete any confidential or personal data.

Packing Lis

• Leetop_ALP_609_F x 1
• Non-standard equipment： Power adapter x 1
• Power cord x 1

DOCUMENT CHANGE HISTORY

changes

| V1.2| 20230818| Add SIM_ Card, change structure diagram

Leetop_ALP_609_F product introduction

Brief
Leetop_ALP_609_F is an embedded artificial intelligence computer that can provide computing power up to 20/40/70/100 TOPS for many terminal devices. Leetop_ALP_609_F provides a fast active cooling design, which can meet industrial standards such as shock resistance and anti-static. At the same time, Leetop_ALP_609_F has rich interfaces and high-cost performance.

Specifications

Processor module

AI

Performance

| ****

20 TOPS

| ****

40 TOPS

GPU

| 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores| 1024-core NVIDIA Ampere architecture GPU with

32 Tensor Cores

CPU

| 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU

1.5MB L2 + 4MB L3

| 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU

1.5MB L2 + 4MB L3

Memory

| 4GB 64-bit LPDDR5

34 GB/s

| 8GB 128-bit LPDDR5

68 GB/s

Storage| (Supports external NVMe)| (Supports external NVMe)
Power| 5W – 10W| 7W – 15W

PCIe

| 1 x4 + 3 x1

(PCIe Gen3, Root Port, & Endpoint)

| 1 x4 + 3 x1

(PCIe Gen3, Root Port, & Endpoint)

CSI Camera

| Up to 4 cameras (8 via virtual channels***)

8 lanes MIPI CSI-2

D-PHY 2.1 (up to 20Gbps)

| Up to 4 cameras (8 via virtual channels***)

8 lanes MIPI CSI-2

D-PHY 2.1 (up to 20Gbps)

Video Encode| 1080p30 supported by 1-2 CPU cores| 1080p30 supported by 1-2 CPU cores

Video Decode

| 1x 4K60 (H.265)

2x 4K30 (H.265)

5x 1080p60 (H.265)

11x 1080p30 (H.265)

| 1x 4K60 (H.265)

2x 4K30 (H.265)

5x 1080p60 (H.265)

11x 1080p30 (H.265)

Display

| 1x 4K30 multi-mode DP 1.2 (+MST)/eDP 1.4/HDMI 1.4| 1x 4K30 multi-mode DP 1.2 (+MST)/eDP 1.4/HDMI 1.4
Networking| 10/100/1000 BASE-T Ethernet| 10/100/1000 BASE-T Ethernet

Mechanical

| 69.6mm x 45mm 260-pin SO- DIMM connector| 69.6mm x 45mm260-pin SO-DIMM connector

AI

Performance

| ****

70 TOPS

| ****

100 TOPS

GPU

| 1024-core NVIDIA Ampere GPU with 32 Tensor Cores| 1024-core NVIDIA Ampere GPU with32 Tensor Cores

CPU

| ****

6-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3

| 8-core NVIDIA Arm® Cortex A78AE v8.2

64-bit CPU2MB L2 + 4MB L3

Memory

| 8 GB 128-bit LPDDR5

102.4 GB/s

| 16 GB 128-bit

LPDDR5102.4 GB/s

Storage| (Supports external NVMe)| (Supports external NVMe)
Power| 10W – 20W| 10W – 25W

PCIe

| ****

1 x4 + 3 x1

(PCIe Gen4, Root Port & Endpoint)

| 1 x4 + 3 x1

(PCIe Gen4, Root Port & Endpoint)

CSI Camera

| Up to 4 cameras (8 via virtual channels***)

8 lanes MIPI CSI-2

D-PHY 2.1 (up to 20Gbps)

| Up to 4 cameras(8 via virtual channels***)

8 lanes MIPI CSI-2D-PHY 2.1

(up to 20Gbps)

Video Encode

| 1x4K60 | 3x4K30 |

6x1080p60 |

12x1080p30(H.265)

1x4K60 | 2x4K30 |

5x1080p30 |

11x1080p30(H.264)

| 1x 4K60 | 3x 4K30 |

6x 1080p60 |

12x 1080p30 (H.265)

1x 4K60 | 2x 4K30 |

5x 1080p60 |

11x 1080p30 (H.264)

Video Decode

| 1x8K30 |2X4K60 |

4X4K30| 9x1080p60 |

18x1080p30(H.265)

1x4K60|2x4K30|

5x1080P60 |

11X1080P30(H.264)

| 1x 8K30 | 2x 4K60 |

4x 4K30 | 9x 1080p60|

18x 1080p30 (H.265)

1x 4K60 | 2x 4K30 |

5x 1080p60 |

11x 1080p30 (H.264)

Display

| 1x 8K60 multi-mode DP

1.4a (+MST)/eDP1.4a/HDMI 2.1

| 1x 8K60 multi-mode DP

1.4a (+MST)/eDP1.4a/HDMI 2.1

Networking| 10/100/1000 BASE-T Ethernet| 10/100/1000 BASE-T Ethernet

Mechanical

| 69.6mm x 45mm 260-pin SO-DIMM connector| 69.6mm x 45mm260-pin SO-DIMM connector

I/O

USB

| 4x USB 3.0 Type A (Integrated USB 2.0) 1x USB 2.0+3.0 Type C
20PIN IO CON| 20PIN Multifunction
Audio| 1x Audio
Function key| 1x Power; 1x Recovery; 1x Reset key

Power Requirements

| +12–+36VDC Input NO PSE Device（Max 80W）, With PSE Device(Max 150W)

Power Supply

Input Voltage

| +12–+36VDC Input NO PSE Device（Max 80W）, With PSE Device(Max 150W)

Environmental

10%-90% Noncondensation environment

Install Dimension

Leetop_ALP_609_F： Dimensions as below:

Interface description

Front interface

USB 3.0

| ****

USB 3.0 interface

| 4xUSB3.0 Type-A interface (compatible with USB2.0) 1xUSB 2.0+3.0 Type C
RJ45| Ethernet Gigabit port| 5x Gigabit Ethernet (10/100/1000)
Audio| Audio interface| plug-in audio cable

Note: This product starts automatically when plugged in

Rear interface

DC

| ****

DC power interface

| +12–+36VDC Input NO PSE Device（Max 80W）, With PSE Device(Max 150W)
Recovery| Recovery button| System recovery button
Reset| Reset button| System reset button
Power| Power button| System power button
20PIN IO CON| 20PIN Multifunction| Debug serial port
SIM_Card| SIM card slot| SIM card can be inserted

20PIN IO CON

Description of the carrier board interface
Carrier plate specification

Jetson Orin NX/Orin NANO

PCB Size / Overall Size| ****

183mm x 122mm

Display| 1x HDMI
Ethernet| 5x Gigabit Ethernet (10/100/1000)
USB| 4x USB 3.0 Type A (Integrated USB 2.0) 1x USB 2.0+3.0 Type C
M.2 KEY M| 1x M.2 KEY M Interface
M.2 KYE E| 1x,M.2 KYE E Interface
Camera| 120P Camera interface
USB 2.0+3.0| ZIF 20P 0.5mm pitch
FAN| 1 x FAN(5V PWM)
CAN| 1x CAN, 1CAN （Transceiver）
RS485| 1 x RS485
RS232| 1 x RS232
Misc.| 1x I2C Link（+3.3V I/O） 1X SPI Bus(+3.3V Level) 4x LED STATE
Power Requirements| +12–+36VDC Input NO PSE Device（Max 80W）, With PSE Device(Max 150W)
Operating

Temperature

| -25 ℃ to +65 ℃
Warranty and Support| ****

1 Year Warranty and Free Support

Features

Operating system setup

Hardware Preparation

• Ubuntu 18.04 PC x1
• Type-c data cable x1

Environment requirements

1. Download the system image package to the PC host of the Ubuntu18.04 system:
   Burn-in steps Burn-in steps

2.  Use a USB cable to connect the USB Type-A of the PC computer of the Ubuntu18.04 system to the Type c of the Leetop_ALP_609_F Development System;

3. Power on the Leetop_ALP_609_F Development System and enter Recovery mode;

4. Open the Nvidia-SDK-Manager on the PC, as shown in the figure below, and select Jetson Orin Nano/Orin Nx in the interface to download the Jetpack5.xx system image package and development tools, or from https://developer.nvidia.com/embedded /downloads Downloads the latest Jetson Linux distribution and the sample filesystem for the Jetson Development Kit. (Jetson Linux Driver Package (L4T)).

1. Download the matching driver:
   orin nx: link: https://pan.baidu.com/s/1aUCe0kzZmdfPc84Ku2QOBQ Extraction code: sk9o
   orin nano: link: https://pan.baidu.com/s/1FnjWlIsrGr- AUMnqLd6J8g Extraction code: 4z68

Please contact us for the rest of the information [email protected]

• Unzip the downloaded image package and enter the Linux for Tegra(L4T) directory
• Enter the Linux_for_tegra directory and use the flash command flash to NVMe
• Enter the Linux_for_tegra directory and use the flash command flash to USB
• Enter the Linux_for_tegra directory and use the flash command flash to SD

3. Recovery mode

Leetop_ALP_609_F can update the system through USB, and the update needs to enter the USB Recovery mode. In USB Recovery mode, you can perform file system updates, kernel update, boot loader update, BCT updates, and other operations.
Steps to enter Recovery Mode

1. Power off the system, make sure to power off and not go into standby;
2. Use the TYPE-C to USB Type A link cable to link the carrier board and the host;
3. Turn on the power, use Type-c to connect the PC and the device, and press the Reset and Recovery buttons at the same time for two seconds, then release the Reset button first, then release the Recovery button to enter the recovery mode. (You can enter lsusb in the terminal to see if there is Nvidia corp displayed, if so, it means entering recovery).

Note: In the USB Recovery mode, the system will not start, and the serial port will not have debugging information output

Install system image

• Connect the USB Type-A of the Ubuntu18.04 host to the Type-c of Leetop_ALP_609_F;
• Power on Leetop_ALP_609_F and enter Recovery mode;
• The PC host enters the L4T directory and executes the flashing command:

• After flashing, power on Leetop_ALP_609_F and log in to the system again.

Switching working modes

After logging in to the system, you can click on the operation modification in the upper right corner of the system interface, as shown in the figure：

Or, enter the command in the terminal to switch:

6. Install data

Use of Xshell

Xshell is a powerful security terminal simulation software, it supports SSH1, SSH2, and TELNET protocol of Microsoft Windows platform. Xshell’s secure connection to remote hosts via the Internet and its innovative design and features help users enjoy their work in complex network environments. Xshell can be used in the Windows interface to access remote servers under different systems, so as to better achieve the purpose of remote control terminals. xshell is not necessary, but it can better assist us in using the device. It can link your Windows system with your Ubuntu system, allowing you to operate your Linux system under the Windows system. To install xshell, you can search, download, and install it on the Internet. (When the product cannot enter the desktop system, you can also use Xshell to perform remote control and modify configuration errors).

Open xshell

• Newly built

• Fill in the name and host ip (under normal circumstances, you can connect through the network ip, if you don’t know the ip, you can connect the computer and the OTG port of the device through the usb data cable, and fill in the fixed ip to connect)

• Enter user and password

• Click Connect to enter the command line interface

• Operate the jetson device remotely through xshell

System Configuration

default username： Nvidia Password: Nvidia

• NVIDIA Linux For Tegra (L4T)
  The carrier board supports native NVIDIA Linux For Tegra (L4T) Builds. HDMI, Gigabit Ethernet, USB 3.0, USB OTG, Serial, GPIO, and I2C bus are all supported.
  Detailed description and tool download link: https://developer.nvidia.com/embedded/jetson- linux-r3531

• NVIDIA Jetpack for L4T
  Jetpack is a software package released by NVIDIA, which contains various software tools needed for Orin Nano/Orin NX development using Leetop_ALP_609_F, including various tools on the host side and target machine side, including OS image files, middleware, sample programs, documents, etc.. The latest release of JetPack runs on Ubuntu 18.04 Linux 64-bit hosts
  It can be downloaded from the following link: https://developer.nvidia.com/embedded/jetpack

• Default configuration system
  Leetop_ALP_609_F uses Ubuntu 20.04 system, default username: Nvidia password: Nvidia

• **Development materials and forum***
  L4T development data: https://developer.nvidia.com/embedded/linux-tegra
  Developer forum: https://forums.developer.nvidia.com/

View System Version
View the installed system package version

View information about the installed JetPack

Make a backup image

Making a backup image needs to be done in the environment of the command line flashing, only the system. img file is backed up.

1. Use a USB cable to connect the USB Type-A of the PC computer of the Ubuntu18.04 system to the Type c of Leetop_ALP_609_F;
2. Power on Leetop_ALP_609_F and enter Recovery mode;
3. Enter the Linux_for_tegra directory, and refer to README_backup_restore.txt in backup_restore for backup.  Instructions to backup Jetson Orin Nano/Orin NX system:

• Use the backup image to flash

If it can be flashed normally, it means that the created backup image is available.

Installation of Jtop tools

Jtop is a Jetson system monitoring utility that runs on the terminal to view and control the status of the NVIDIA Jetson in real-time. Installation steps：

1. Install pip3-tools
2. Install the stop package with pip3
3. stop can be run after reboot

After running, as shown in the figure below

Developer Tools

JetPack NVIDIA JetPack SDK is the most comprehensive solution for building AI applications. It bundles Jetson platform software including TensorRT, cuDNN, CUDA Toolkit, VisionWorks, GStreamer, and OpenCV, all built on top of L4T with LTS Linux kernel. JetPack includes NVIDIA container runtime, enabling cloud- native technologies and workflows at the edge.

JetPack SDK Cloud-Native on Jetson

L4T

NVIDIA L4T provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and more for the Jetson platform. You can customize L4T software to fit the needs of your project. By following the platform adaptation and bring-up guide, you can optimize your use of the complete Jetson product feature set. Follow the links below for details about the latest software libraries, frameworks, and source packages.
DeepStream SDK on Jetson
NVIDIA’s DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing, video and image understanding. DeepStream is an integral part of NVIDIA Metropolis, the platform for building end-to-end services and solutions that transform pixel and sensor data to actionable insights. Learn about the latest 5.1.1 developer preview features in our developer news article.

Isaac SDK

The NVIDIA Isaac SDK makes it easy for developers to create and deploy AI- powered robotics. The SDK includes the Isaac Engine (application framework), Isaac GEMs (packages with high-performance robotics algorithms), Isaac Apps (reference applications) and Isaac Sim for Navigation (a powerful simulation platform). These tools and APIs accelerate robot development by making it easier to add artificial intelligence (AI) for perception and navigation into robots.

Key Features of Jetpack

|
---|---

OS

| NVIDIA Jetson Linux 35.3.1 provides the Linux Kernel 5.10, UEFI-based

bootloader, Ubuntu 20.04-based root file system, NVIDIA drivers, necessary firmware, toolchain, and more.JetPack 5.1.1 includes Jetson Linux 35.3.1 which adds the following highlights: (Please refer to release notes for additional details)Adds support for Jetson AGX Orin 64GB, Jetson Orin NX 8GB, Jetson Orin Nano 8GB, and Jetson Orin Nano 4GB production modules Security:

Over The Air Updates: Image-Based OTA tools supported to upgrade Xavier or Orin-based modules running JetPack 5 in the field1 Camera: Support for Multi- Point Lens Shading Correction (LSC) on Orin. Enhanced resilience of Argus SyncStereo app to maintain synchronization between stereo camera pairs. Multimedia: Support for dynamic frame rate in AV1 encoding New argus_camera_sw_encode sample for demonstrating software encoding on CPU cores Updated nvgstcapture-1.0 with the option of software encoding on

CPU cores 1Previous releases supported upgrading Xavier-based modules in the field running JetPack 4.

TensorRT

| TensorRT is a high-performance deep learning inference runtime for image classification, segmentation, and object detection neural networks. TensorRT is built on CUDA, NVIDIA’s parallel programming model, and enables you to optimize inference for all deep learning frameworks. It includes a deep

learning inference optimizer and runtime that delivers low latency and high- throughput for deep learning inference applications. JetPack 5.1.1 includes TensorRT 8.5.2

cuDNN

| CUDA Deep Neural Network library provides high-performance primitives for deep learning frameworks. It provides highly tuned implementations for standard routines such as forward and backward convolution, pooling,

normalization, and activation layers. JetPack 5.1.1 includes cuDNN 8.6.0

CUDA

| CUDA Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The toolkit

includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications. JetPack 5.1.1 includes[ CUDA 11.4.19 Starting with JetPack 5.0.2, upgrade to latest and ](https://docs.nvidia.com/cuda/cuda-for-tegra-appnote/index.html

upgradable-package-for-jetson)greatest CUDA releases from CUDA 11.8 onwards

without the need to update Jetson Linux and other JetPack components. Refer to the instructions in the CUDA

documentation on how to get the latest CUDA on JetPack.

|
---|---

Multimedia API

| The Jetson Multimedia API package provides low-level APIs for flexible application development. Camera application API: lib argus offers a low-level frame- synchronous API for camera applications, with per-frame camera

parameter control, multiple (including synchronized) camera support, and EGL stream outputs. RAW output CSI cameras needing ISP can be used with either libargus or GStreamer plugin. In either case, the V4L2 media-controller sensor driver API is used. Sensor driver API: V4L2 API enables video decode, encoding, format conversion, and scaling functionality. V4L2 for encoding opens up many features like bit rate control, quality presets, low

latency encoding, temporal tradeoffs, motion vector maps, and more. JetPack

5.1.1 Camera highlights include Support for Multi-Point Lens Shading Correction (LSC) on Orin. Enhanced resilience of Argus SyncStereo app to maintain synchronization between stereo camera pairs. JetPack 5.1.1 Multimedia highlights include: Support for dynamic frame rate in AV1

encoding New argus_camera_sw_encode sample for demonstrating software encoding on CPU cores Updated nvgstcapture-1.0 with option of software encoding on CPU cores

Computer Vision

| VPI (Vision Programming Interface) is a software library that provides Computer Vision / Image Processing algorithms implemented on multiple hardware accelerators found on Jetson such as PVA (Programmable Vision Accelerator), GPU, NVDEC(NVIDIA Decoder), NVENC (NVIDIA Encoder), VIC (Video Image Compositor) and so on.OpenCV is an open-source library for computer vision, image processing, and machine learning. JetPack 5.1.1

includes a minor update to VPI 2.2 with bug fixes JetPack 5.1.1 includes OpenCV 4.5.4

Graphics

| JetPack 5.1.1 includes the following graphics libraries: Vulkan® 1.3 (including the Roadmap 2022 Profile). Vulkan 1.3 Announcemen tVulkan® SC 1.0 Vulkan SC is a low- level, deterministic, robust API that is based on Vulkan 1.2. This

API enables state-of-the-art GPU-accelerated graphics and computation that can be deployed in safety-critical systems and that are certified to meet

industry functional safety standards. Refer to https://www.khronos.org/vulka nsc/ for more information. Vulkan SC can also be invaluable for real- time

non safety-critical embedded applications. Vulkan SC increases determinism and reduces application size by shifting preparation of the run-time application environment either offline or into application setup, as much as possible. This includes offline compilation of graphics pipelines that define how the GPU processes data, together with static memory allocation, that together enable detailed GPU control that can be rigorously specified and

tested. Vulkan SC 1.0 is evolved from Vulkan 1.2 and includes the removal of runtime functionality that is not needed in safety-critical markets, an

updated design to provide predictable execution times and results, and clarifications to remove potential ambiguity in its operation. For more details see https://www.khronos.org/blog/vulkan-sc-overview Note : Jetson support for Vulkan SC is not safety certified. OpenWF™ Display 1.0 OpenWF Display

is a Khronos API for low overhead interaction with the native display driver on Jetson and allows interaction with Vulkan SC to display images. Note :

Jetson support for OpenWF Display is not safety certified.

|
---|---

Developer Tools

| CUDA Toolkit provides a comprehensive development environment for C and C++ developers building high-performance GPU-accelerated applications with CUDA libraries. The toolkit includes Nsight Visual Studio Code Edition, Nsight Eclipse Plugins, debugging and profiling tools including Nsight Compute, and a toolchain for cross-compiling applications NVIDIA Nsight Systems is a low overhead system-wide profiling tool, providing the

insights developers need to analyze and optimize software

performance.NVIDIA Nsight Graphics is a standalone application for

debugging and profiling graphics applications. NVIDIA Nsight Deep Learning Designer is an integrated development environment that helps developers efficiently design and develop deep neural networks for in-app inference.

Nsight System, Nsight Graphics, and Nsight Compute are all supported by Jetson Orin modules to assist development of autonomous machines.

JetPack 5.1.1 includes NVIDIA Nsight Systems v2022.5 JetPack 5.1.1

includes NVIDIA Nsight Graphics 2022.6 JetPack 5.1.1 includes NVIDIA Nsight Deep Learning Designer 2022.2 Refer to release notes for more details.

Supported SDKs and Tools

| NVIDIA DeepStream SDK is a complete analytics toolkit for AI-based multi-sensor processing and video and audio understanding. DeepStream 6.2

release supports JetPack 5.1.1NVIDIA Triton™ Inference Server simplifies

the deployment of AI models at scale. Triton Inference Server is open source and supports deployment of trained AI models from NVIDIA TensorRT,

TensorFlow and ONNX Runtime on Jetson. On Jetson, Triton Inference Server is provided as a shared library for direct integration with C API.

PowerEstimator is a web app that simplifies the creation of custom power mode profiles and estimates Jetson module power consumption. attack 5.1.1 supports PowerEstimator for Jetson AGX Orin and Jetson Xavier NX

modulesNVIDIA Isaac™ ROS is a collection of hardware-accelerated

packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware including NVIDIA Jetson. Isaac ROS DP3

the release supports JetPack 5.1.1

Cloud Native

| Jetson brings Cloud-Native to the edge and enables technologies like containers and container orchestration. NVIDIA JetPack includes NVIDIA Container Runtime with Docker integration, enabling GPU-accelerated containerized applications on the Jetson platform. NVIDIA hosts several container images for Jetson on NVIDIA NGC. Some are suitable for software development with samples and documentation and others are suitable for

production software deployment, containing only runtime components. Find more information and a list of all container images at the Cloud-Native on

Jetson page.

Security

| NVIDIA Jetson modules include various security features including Hardware Root of Trust, Secure Boot, Hardware Cryptographic Acceleration, Trusted Execution Environment, Disk and Memory Encryption, Physical Attack

Protection and more. Learn about the security features by jumping to the security section of the Jetson Linux Developer guide.

Sample Applications
JetPack includes several samples which demonstrate the use of JetPack components. These are stored in the reference filesystem and can be compiled on the developer kit.

Visionworks

| /usr/share/Visionworks/sources/samples/

/usr/share/Visionworks-tracking/sources/samples/

/usr/share/Visionworks-sfm/sources/samples/

OpenCV| /usr/share/OpenCV/samples/
VPI| /opt/Nvidia/vpi/vpi-/samples

Developer Tools

JetPack includes the following developer tools. Some are used directly on a Jetson system, and others run on a Linux host computer connected to a Jetson system.

• Tools for application development and debugging:
  • NSight Eclipse Edition for development of GPU accelerated applications: Runs on Linux host computer. Supports all Jetson products.
  • CUDA-GDB for application debugging: Runs on the Jetson system or the Linux host computer. Supports all Jetson products.
  • CUDA-MEMCHECK for debugging application memory errors: Runs on the Jetson system. Supports all Jetson products.
• Tools for application profiling and optimization:
  • NSight Systems for application multi-core CPU profiling: Runs on the Linux host computer. Helps you improve application performance by identifying slow parts of code. Supports all Jetson products.
  • NVIDIA® Nsight™ Compute kernel profiler: An interactive profiling tool for CUDA applications. It provides detailed performance metrics and API debugging via a user interface and command line tool.
  • NSight Graphics for graphics application debugging and profiling: A console-grade tool for debugging and optimizing OpenGL and OpenGL ES programs. Runs on the Linux host computer. Supports all
  • Jetson products.

FCC Warning:

This equipment has been tested and found to comply with the limits for a Class B digital device, pursuant to part 15 of the FCC Rules. These limits are designed to provide reasonable protection against harmful interference in a residential installation. This equipment generates, uses, and can radiate radio frequency energy and, if not installed and used in accordance with the instructions, may cause harmful interference to radio communications. However, there is no guarantee that interference will not occur in a particular installation. If this equipment does cause harmful interference e to radio or television reception, which can be determined by turning the equipment off and on, the user is encouraged to try to correct the interference by one or more of the following measures:

• Reorient or relocate the receiving antenna.
• Increase the separation between the equipment and the receiver.
• Connect the equipment into an outlet on a circuit different from that to which the receiver is connected.
• Consult the dealer or an experienced radio/TV technician for help.

Caution : Any changes or modifications to this device not explicitly approved by the manufacturer could void your authority to operate this equipment.
This device complies with part 15 of the FCC Rules. Operation is subject to the following two conditions:

1. This device may not cause harmful interference, and
2. this device must accept any interference received, including interference that may cause undesired operation.
   This equipment complies with FCC radiation exposure limits set forth for an uncontrolled environment. This equipment should be installed and operated with a minimum distance 20cm between the radiator and your body.

References

• 沥拓科技(深圳)有限公司
• CUDA Deep Neural Network (cuDNN) | NVIDIA Developer
• DeepStream SDK | NVIDIA Developer | NVIDIA Developer
• DeepStream SDK | NVIDIA Developer | NVIDIA Developer
• Jetson - Embedded AI Computing Platform | NVIDIA Developer
• JetPack SDK | NVIDIA Developer
• Cloud-Native on Jetson | NVIDIA Developer
• Jetson Linux 35.3.1 | NVIDIA Developer
• Jetson Linux | NVIDIA Developer
• Vision Programming Interface (VPI) | NVIDIA | NVIDIA Developer
• Isaac Robot Operating System (ROS) | NVIDIA Developer
• Isaac Robot Operating System (ROS) | NVIDIA Developer
• Nsight Compute | NVIDIA Developer | NVIDIA Developer
• Nsight Deep Learning Designer | NVIDIA Developer
• NVIDIA Nsight Graphics | NVIDIA Developer
• Nsight Visual Studio Code Edition | NVIDIA | NVIDIA Developer
• TensorRT SDK | NVIDIA Developer
• CUDA Toolkit Documentation
• 1. CUDA for Tegra — CUDA for Tegra 12.3 documentation
• 1. Introduction — Nsight Eclipse Plugins Installation Guide 12.3 documentation
• Nsight Systems | NVIDIA Developer | NVIDIA Developer
• NVIDIA JetPack Documentation
• Welcome — Jetson Linux Developer Guide documentation
• Jetson Linux API Reference: Main Page | NVIDIA Docs
• VPI - Vision Programming Interface: Release Notes v3.0
• NVIDIA Developer Forums - NVIDIA Developer Forums
• NVIDIA
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