LEETOP ALP-681 Board Development Kits User Guide
- June 16, 2024
- LEETOP
Table of Contents
- ALP-681 Board Development Kits
- Leetop_ALP_681_F Product Information
- Specifications
- Product Usage Instructions
- Installation of Jtop tools Developer Tools
- JetPack L4T DeepStream SDK on Jetson Isaac SDK Key Features of
- Q: Where can I get technical support for the
- Q: What is included in the packing list of
- Q: What is the warranty for Leetop_ALP_681_F?
ALP-681 Board Development Kits
Leetop_ALP_681_F Product Information
Specifications
-
Processor: Jetson AGX Orin 32GB
-
AI Performance: 200 TOPS
-
GPU: 1792-core NVIDIA Ampere GPU with 56 Tensor Cores
-
CPU Memory: 32 GB 256-bit LPDDR5 204.8 GB/s
-
Storage: 64GB eMMC 5.1
-
Power: 15W – 40W
-
PCIe: Up to 2 x8 + 2 x4 + 2 x1 (PCIe Gen4, Root Port &
Endpoint) -
CSI Camera: Up to 6 cameras (16 via virtual channels**) 16
lanes MIPI CSI-2 D-PHY 2.1 (up to 40Gbps) C-PHY 2.0 (up to
164Gbps) -
Video Encode: 1x 4K60 3x 4K30 6x 1080p60 12x 1080p30 (H.265) 1x
4K60 2x 4K30 5x 1080p60 11x 1080p30 (H.264) -
Video Decode: 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)/eDP 1.4a/HDMI
2.1 -
Networking: 1x GbE 1x 10GbE
Product Usage Instructions
Installation of Jtop tools Developer Tools
To install the Jtop tools Developer Tools, please follow the
steps below:
- Step 1: Go to the official Leetop website: http://www.leetop.top
- Step 2: Download the Jtop tools Developer Tools package
- Step 3: Extract the downloaded package
- Step 4: Run the installer and follow the on-screen
instructions
JetPack L4T DeepStream SDK on Jetson Isaac SDK Key Features of
Jetpack Sample Applications Developer Tools
To install the JetPack L4T DeepStream SDK on Jetson Isaac SDK
Key Features of Jetpack Sample Applications Developer Tools, please
follow the steps below:
- Step 1: Go to the official Leetop website: http://www.leetop.top
- Step 2: Download the JetPack L4T DeepStream SDK package
- Step 3: Extract the downloaded package
- Step 4: Run the installer and follow the on-screen
instructions
FAQ
Q: Where can I get technical support for the
Leetop_ALP_681_F?
A: 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 to get technical support is by sending
an email to: service@leetop.top
Q: What is included in the packing list of
Leetop_ALP_681_F?
A: The packing list of Leetop_ALP_681_F includes:
- Non-standard equipment
- Power adapter x 1
- Power cord x 2
Q: What is the warranty for Leetop_ALP_681_F?
A: For warranty information, please refer to the warranty
section in the user manual or contact Leetop’s customer
service.
User Guide
Leetop_ALAP_681F User_Guide_V1.0.1
Leetop Technology (Shenzhen) Co., Ltd.. http://www.leetop.top
Leetop Tech Co., Ltd.
Leetop_ALP_F _User_Guide_V1.0.1
Leetop_ALP_681_F_User_Guide Notice Service and Support Warranties Packing List
DOCUMENT CHANGE HISTORY Leetop_ALP_681_F product description Brief
Specifications Processor I/O Power Supply Environmental Install Dimension
Leetop_ALP_681_F Interfaces Interface Description Front interface Back side
interface Description of the carrier board interface Carrier plate
specification Function introduction Operating system setup 1.Hardware
preparation 2.Environment requirements 3.Recovery mode 4.Install system image
5.Switching working modes 6. Install cuda Use of xshell System configuration
View System Version Make a backup image
board:Refer to the board mentioned in the brush rootdev: Generally take
mmcblk0p1 (jetson internal storage) / internal Usually take mmcblk0p1 (jetson
internal storage)
Installation of Jtop tools Developer Tools
JetPack L4T DeepStream SDK on Jetson Isaac SDK Key Features of Jetpack Sample
Applications Developer Tools
Notice
Please read manual carefully before install, operate, or transport 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 described in this manual. Do not use
Leetop device near strong magnetic fields. Backup your data before
transportation or Leetop device is idle. Recommend to transport 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
Technical 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 sending us an email: service@leetop.top
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 warranty period. Please contact service@leetop.top 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 List
Leetop_ALP_681_F Non-standard equipment Power adapter x 1 Power cord x 2
DOCUMENT CHANGE HISTORY
Document Leetop_ALP_681_F
Version V1.0 V1.0.1
date 20230506 20230608
Leetop_ALP_681_F product description
Brief
Leetop_ALP_681_F is an embedded artificial intelligence computer that can
provide computing power up to 200/275 TOPS for many terminal devices.
Leetop_ALP_681_F provides fast active cooling design, which can meet
industrial standards such as shock resistance and anti-static. At the same
time, Leetop_ALP_681_F has rich interfaces and high cost performance.
Specifications
Processor
Processor
Jetson AGX Orin 32GB
AI Performance
200 TOPS
GPU
1792-core NVIDIA Ampere GPU with 56 Tensor Cores
CPU
8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3
Memory
32 GB 256-bit LPDDR5 204.8 GB/s
Storage
64GB eMMC 5.1
Power
15W – 40W
PCIe
Up to 2 x8 + 2 x4 + 2 x1 (PCIe Gen4, Root Port & Endpoint)
CSI Camera
Up to 6 cameras (16 via virtual channels**) 16 lanes MIPI CSI-2 D-PHY 2.1 (up to 40Gbps) C-PHY 2.0 (up to 164Gbps)
Video Encode
1x 4K60 3x 4K30 6x 1080p60 12x 1080p30 (H.265) 1x 4K60 2x 4K30 5x 1080p60 11x 1080p30 (H.264)
Video Decode
Display Networking
1x 8K30 2x 4K60 4x 4K30 9x 1080p60 18x 1080p30 (H.265) 1x 4K60 2x 4K30 5x
1080p60 11x 1080p30 (H.264)
1x 8K60 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1
1x GbE 1x 10GbE
Jetson AGX Orin 64GB
275 TOPS
2048-core NVIDIA Ampere GPU with 64 Tensor Cores
12-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3
64GB 256-bit LPDDR5 204.8 GB/s
64GB eMMC 5.1
15W – 60W
Up to 2 x8 + 2 x4 + 2 x1 (PCIe Gen4, Root Port & Endpoint)
Up to 6 cameras (16 via virtual channels**) 16 lanes MIPI CSI-2 D-PHY 2.1 (up
to 40Gbps) C-PHY 2.0 (up to 164Gbps)
2x 4K60 4x 4K30 8x 1080p60 16x 1080p30 (H.265) 2x 4K60 4x 4K30 7x 1080p60 15x
1080p30 (H.264)
1x 8K30 3x 4K60 6x 4K30 12x 1080p60 24x 1080p30 (H.265) 1x 4K60 3x 4K30 7x
1080p60 14x 1080p30 (H.264)
1x 8K60 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1
1x GbE 1x 10GbE
Processor Mechanical
Jetson AGX Orin 32GB
100mm x 87mm 699-pin connector Integrated Thermal Transfer Plate
Jetson AGX Orin 64GB
100mm x 87mm 699-pin connector Integrated Thermal Transfer Plate
I/O
Interface PCB Size / Overall Size Display Ethernet
USB Camera FAN Power Requirements
Power Supply
Power Supply Input Type Input Voltage
Environmental
Environmental Operating Temperature Storage Humidity
Specification 160mm x 150mm 1x HDMI 1x Gigabit Ethernet (10/100/1000) 1x 10G
4x USB 3.0 Type A (Integrated USB 2.0) 1x USB 2.0+3.0 Type C 2x GMSL 1 x
FAN(12V PWM) +12(16A)—+36V(140W) DC Input
Specification DC +12(16A)—+36V(140W) DC Input
Specification -25 to +70 10%-90% Non-condensing environment
Install Dimension
Leetop_ALP_681_F Dimensions as below:
Up view (Unit:mm)
Front view (Unit:mm)
Left view (Unit:mm)
Rear view(Unit:mm)
Leetop_ALP_681_F Interfaces
Interface Description
Front interface
Leetop_ALP_681_F Schematic diagram of the front interface
Interface Type-C HDMI
USB 3.0
RJ45 Lan10GbE Audio POWER
Interface name Type-C interface HDMI
USB 3.0 interface
Ethernet Gigabit port 10,000 Gigakou Audio port DC power connector
Interface description 1x USB 2.0+3.0 Type C 1xHDMI 4x USB 3.0 Type A (Integrated USB 2.0) 1x USB 2.0+3.0 Type C 1x Gigabit Ethernet (10/100/1000) 1x 10G Access to audio +12(16A)—+36V(140W) DC Input
Note: This product starts automatically when plugged in
Back side interface
Leetop_ALP_681_F Schematic diagram of the rear interface
Interface Multifunctional port Recovery RESET POWER Camera
Interface name 20PIN IO CON Recovery key Reset key Power key GMSL interface
Interface description Debug the serial port System Restore button System reset button System power button Can be connected to GMSL cameras
PIN Signal Name
1
CAN0_H
3
RS232_RX
5
RS485_B
7
I2C_GP8_CLK_3V3)
9
3.3V
11
UART1_RX_3V3
13
GPIO35_PWM3_3V3
15
PWM01_3V
17
GPIO33_12V
19
5V
PIN# 145
Ball Name CAN_TX
205
UART2_RXD
189
GEN2_I2C_SCL
238
UART1_RXD
91
SPI1_SCK
95
SPI1_CS0
124
GPIO_PH6
PIN Signal Name
2
CAN0_L
4
RS232_TX
6
RS485_A
8
I2C_GP8_DAT_3V3
10
GND
12
UART1_TX_3V3
14
GPIO17_3V3
16
GPIO9_5V
18
GPIO19_12V
20
GND
PIN# 143
Ball Name CAN_RX
203
UART2_TXD
191
GEN2_I2C_SDA
236
UART1_TXD
89
SPI1_MOSI
93
SPI1_MISO
97
SPI1_CS1
Description of the carrier board interface
Carrier plate specification
Interface PCB Size / Overall Size Display Ethernet
USB Camera FAN Power Requirements
Specification 160mm x 150mm 1x HDMI 1x Gigabit Ethernet (10/100/1000) 1x10G 4x USB 3.0 Type A (Integrated USB 2.0) 1x USB 2.0+3.0 Type C 2x GMSL 1 x FAN (12V PWM) +12(16A)—+36V(140W) DC Input
Function introduction
Operating system setup
1.Hardware preparation
Ubuntu 18.04 PC x1 Type c data cable x1
2.Environment requirements
1. 1. Download the system image package to the PC host of the Ubuntu18.04
system: Programming steps 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 the Leetop_ALP_681_F
Development System; 2. Power on Leetop_ALP_681_F Development System and enter
Recovery mode; 3. Open the Nvidia-SDK-Manager on the PC, as shown in the
figure below, select Jetson AGX Orin in the interface to download the
Jetpack5xx system image package and development tools, or download the latest
from https://developer.nvi dia.com/ embedded/downloads Example filesystems for
the Jetson Linux distribution and the Jetson Development Kit. (Jetson Linux
Driver Package (L4T) ). 4. Download the matching driver: Link:
https://pan.baidu.com/s/1RePHFE1neeST5lgrLVw3tg Extraction code: bob2
2. 1 #If you can’t find the version using the latest sdk, you can use this
command to get it
2 sdkmanager –archivedeversions Please contact us for the rest of the
informationservice@leetop.top 2. Unzip the downloaded image package and enter
the Linux for Tegra(L4T) directory
1 tar xf ${L4T_RELEASE_PACKAGE} 2 cd Linux_for_tegra/rootfs 3 sudo tar xpf
${SAMPLE_FS_PACKAGE} 4 cd .. 5 sudo ./tools/l4t_flash_prerequisites.sh 6 sudo
./apply_binaries.sh 7 #Replace driver packages 8 sudo cp -r
681_xxx/Linux_for_tegra /Linux_for_tegra
3. Enter the Linux_for_tegra directory and use the flash command
1 #Use this command for the first time to generate system.img 2 sudo
./flash.sh jetson-agx-orin-devkit mmcblk0p1 3 #-r flashing will not generate a
new system.img 4 sudo ./flash.sh -r jetson-agx-orin-devkit mmcblk0p1
3.Recovery mode
Leetop_ALP_681_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
update, kernel update, boot loader update, BCT update 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 USB Type C to USB Type A link cable to link the carrier board and the
host; 3. Power on the device and enter Recovery mode; 4. After pressing the
recovery button and the reset button for two seconds at the same time,
first release the reset button and then release the recovery button to make it
enter the rec mode. Note: In the USB Recovery mode, the system will not start,
and the serial port will not have debugging information output
4.Install system image
a) Connect USB type-A of Ubuntu 18.04 Host to Type-c of Leetop_ALP_681_F ; b)
Power up Leetop_ALP_681_F and enter Recovery mode(RCM); c) The PC Host enters
the L4T directory and executes the flashing instruction
1 cd Linux_for_tegra 2 #Use this command for the first time to generate
system.img 3 sudo ./flash.sh jetson-agx-orin-devkit mmcblk0p1 4 #-r flashing
will not generate a new system.img 5 sudo ./flash.sh -r jetson-agx-orin-devkit
mmcblk0p1
d) After flashing, power on Leetop_ALP_681_F again and log in to the system.
5.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:
1 #Switch to mode 0, use the -q parameter to view the current mode 2 sudo
nvpmodel -m 0
6. Install cuda
1 sudo apt update 2 sudo apt install nvidia-jetpack
Use of xshell
Xshell is a powerful security terminal emulation software, it supports SSH1,
SSH2, and TELNET protocol of Microsoft Windows platform. Xshell’s secure
connection to remote hosts through the Internet and its innovative design and
features help users enjoy their work in complex network environments. Xshell
can be used to access servers under different remote systems under the Windows
interface, so as to better achieve the purpose of remote control of the
terminal. xshell is not necessary, but it can better assist us in using
equipment. It can link your Windows system with your Ubuntu system, allowing
you to operate your Linux system under Windows system. To install xshell, you
can download and install it by searching Baidu 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 bulit
Fill in the name and host ip(normally you can connect through the network ip,
if you do not know the ip, you can connect the computer and the OTG port of
the device through the usb data cable, fill in the fixed ip to connect)
1 192.168.55.1
Enter user and password
Click Connect to enter the command line interface Operate jetson devices remotely through xshell
System configuration
Default username: nvidia Password: nvidia NVIDIA Linux For Tegra (L4T) The
load board supports native NVIDIA Linux For Tegra (L4T) Builds. HDMI, Gigabit
Ethernet, USB3.0, USB OTG, serial port, GPIO, I2C bus can be supported
Detailed instructions and tools download links:
https://developer.nvidia.com/embedded/jets on-linux-r3531 Note: The native
system does not support PWM fan control. If the native system is used, IPCall-
BSP must be deployed NVIDIA Jetpack for L4T Jetpack is a software package
released by NVIDIA that contains all of the software tools needed for AGX Orin
development using Leetop_ALP_681_F . It includes both host and target tools,
including OS images, middleware, sample applications, documentation, and more.
The newly released 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_681_F uses Ubuntu 20.04 system, default username: nvidia password:
nvidia Development MATERIALS and forums 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
1 cat /etc/nv_tegra_release
View information about the installed JetPack
1 sudo apt show nvidia-jetpack
Make a backup image
Making a backup image needs to be done in the environment of command line
flashing, only the system.img file is backed up
1. Use A USB cable to connect USB Type-A of the Ubuntu18.04 PC to Type c of
the Leetop_ALP_681_F . 2. Power on the Leetop_ALP_681_F and enter the Recovery
mode; 3. Enter the Linux_for_tegra directory, and refer to the official
document description Flashing Support
for backup.
1 sudo ./flash.sh -r -k APP -G <clone.img>
needs 3 #Refer to the board mentioned in the brush 4 #Generally take mmcblk0p1
(jetson internal storage) / internal Usually take
mmcblk0p1 (jetson internal storage)
4. Backup Jetson AGX Orin core module command:
1 sudo ./flash.sh -r -k APP -G clone.img jetson-agx-orin-devkit mmcblk0p1
If the backup image can be used normally, it indicates that the backup image
is available.
Installation of Jtop tools
Jtop is a system monitoring utility for Jetson that can be run on a terminal
to view and control the status of NVIDIA Jetson in real time. Installation
steps
1. Installing the pip3 tool 1 sudo apt-get install python3-pip
2. Installing jtop packages with pip3 1 sudo -H pip3 install -U jetson-stats
3. Restart to run jtop 1 jtop
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 multisensor 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 5.1.1developer 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 highperformance 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
TensorRT cuDNN CUDA
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
firmwares, toolchain and more.JetPack 5.1.1 includes Jetson Linux 35.3.1 which
adds 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
option of software encoding on CPU cores 1Previous releases supported
upgrading Xavier based modules in the field running JetPack 4.
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
highthroughput for deep learning inference applications.JetPack 5.1.1 includes
TensorRT 8.5.2
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 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 greatest CUDA
releases from CUDA 11.8 onwards without the need to update Jetson Linux other
JetPack components. Refer to instructions in the CUDA documentation on how to
get the latest CUDA on JetPack.
Multimedia API
Computer Vision
Graphics
The Jetson Multimedia API package provides low level APIs for flexible
application development.Camera application API: libargus 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 mediacontroller sensor driver
API is used.Sensor driver API: V4L2 API enables video decode, encode, format
conversion and scaling functionality. V4L2 for encode opens up many features
like bit rate control, quality presets, low latency encode, temporal tradeoff,
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
VPI (Vision Programing 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
JetPack 5.1.1 includes the following graphics libraries:Vulkan® 1.3 (including
the Roadmap 2022 Profile).Vulkan 1.3 Announcement Vulkan® 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. OpenWFTM 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
Supported SDKs and Tools
Cloud Native
Security
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 on Jetson Orin modules to assist development for 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.
NVIDIA DeepStream SDK is a complete analytics toolkit for AI-based multisensor
processing and video and audio understanding.DeepStream 6.2 release supports
JetPack 5.1.1 NVIDIA TritonTM Inference Server simplifies 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 webapp that
simplifies creation of custom power mode profiles and estimates Jetson module
power consumption. etPack 5.1.1 supports PowerEstimator for Jetson AGX Orin
and Jetson Xavier NX modules NVIDIA IsaacTM 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 release supports JetPack 5.1.1
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 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.
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.
JetPack component TensorRT cuDNN CUDA Multimedia API
VisionWorks
OpenCV VPI
Sample locations on reference filesystem /usr/src/tensorrt/samples/ /usr/src/cudnnsamples/ /usr/local/cuda-/samples/ /usr/src/tegra_multimedia_api/ /usr/share/visionworks/sources/samples/ /usr/share/visionworks-tracking/sources/samples/ /usr/share/visionworks- sfm/sources/samples/ /usr/share/OpenCV/samples/ /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® NsightTM 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 Warnning: 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 againstharmful
interference in a residential installation. This equipment generates, uses and
can radiateradio frequency energy and, if not installed and used in accordance
with the instructions, maycause harmful interference to radio communications.
However, there is no guarantee thatinterference will not occur in a particular
installation. If this equipment does cause harmfulinterference to radio or
television reception, which can be determined by turning the equipmentoff and
on, the user is encouraged to try to correct the interference by one or more
of thefollowing measures: · Reorient or relocate the receiving antenna. ·
Increase the separation between the equipment and 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 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
minimum distance 20cm between the radiator and your body.
References
- Plus Size Clothing and Personal Styling for Women | Dia & Co
- Félicitations ! Votre domaine a bien été créé chez OVHcloud !
- 沥拓科技(深圳)有é™å…¬å¸
- CUDA Deep Neural Network (cuDNN) | NVIDIA Developer
- DeepStream SDK | NVIDIA Developer | NVIDIA Developer
- DeepStream SDK | NVIDIA Developer | NVIDIA Developer
- Jetson Download Center | 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
- New Software Enhancements for Intelligent Video Analytics and IoT | NVIDIA Technical Blog
- Data Science, Machine Learning, AI, HPC Containers | NVIDIA NGC
- Khronos Blog - The Khronos Group Inc
- Khronos Blog - The Khronos Group Inc
- Vulkan SC Overview - The Khronos Group Inc
- Metropolis - Video Analytics & Applications | NVIDIA
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