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SiMa Development Kit 2<\/h4>\n\n\n
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$\"\"$ <\/figure><\/div>\n\n\n
SiMa Development Kit Development Kit 2 version<\/h4>\n\n\n\n
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Development Kit 2<\/li>\n\n\n\n
SiMa Build Version 1.4.0_master_B1230<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n
Overall picture of the transplant process<\/strong><\/p>\n\n\n\n
Introduction<\/h4>\n\n\n\n
Development on SiMa mainly involves creating AI\/ML applications on the host machine.
The host machine is where you do all the work of developing, deploying, and debugging your applications using APIs, frameworks, libraries, CLI tools, etc.
After developing an application, you deploy it from the host machine to the SiMa device and actually run the application on SiMa. The basic development flow is as follows:<\/p>\n\n\n\n
\n
Setting up the SiMa development board environment<\/a><\/li>\n\n\n\n
Host machine environment setup<\/a><\/li>\n\n\n\n
Building a heat map analysis system in SiMa<\/a><\/li>\n\n\n\n
Build and deploy<\/a><\/li>\n<\/ol>\n\n\n\n
Setting up the SiMa development board environment<\/h4>\n\n\n\n
Update your development kit firmware to the latest version.<\/p>\n\n\n\n
Host machine environment setup<\/h4>\n\n\n\n
To set up the host machine environment, we will install an application provided by SiMa called Palette.
The application provides a single source of truth for developing, deploying, and debugging AI\/ML applications with access to APIs, frameworks, libraries, and Command Line Interface (CLI) tools.
Also, since Palette runs in a Docker container, you will also need to set up a Docker environment.<\/p>\n\n\n\n
In order to install Palette, you must meet all of the following installation requirements, so be sure to check them before starting development.<\/p>\n\n\n\n
This chapter explains how to operate on Linux.<\/p>\n\n\n\n
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Installation requirements (as of 11\/15\/2024)<\/strong><\/p>\n\n\n\n
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Palette version: 1.4.0_master_B122<\/li>\n\n\n\n
MLSoC firmware version: 1.4.0_master_B1230<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n
\n \n \n \n \n \n \n \n \n \n
Requirement Type<\/th>\n detail<\/th>\n <\/tr>\n
Host Machine<\/td>\n \n
\n
Architecture: x86_64 machine<\/li>\n
Number of CPU cores: Minimum 4 cores<\/li>\n
Memory: Minimum 16GB RAM<\/li>\n
Storage: At least 30GB of local storage<\/li>\n
[Recommended] SSD storage for faster installation<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n
OS<\/td>\n \n
\n
Ubuntu: 20.04 LTS, 22.04 LTS<\/li>\n
Windows: 10 Pro, 11 Pro<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n
Docker Engine<\/td>\n \n
\n
Ubuntu Docker Engine: v20.10.21 or higher<\/li>\n
Windows Docker Engine: v23.0<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n
Python<\/td>\n \n
\n
Version: Python 3.8.10 or later<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n
Open Port<\/td>\n \n
\n
Port 80 (HTTP)<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n
Firewall settings<\/td>\n \n
\n
Port 80 (HTTP): Incoming and outgoing traffic<\/li>\n
Docker external network communication<\/li>\n
Access to remote devices via SSH using port 22<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n<\/figure>\n\n\n\n
Building a heat map analysis system in SiMa<\/strong><\/h4>\n\n\n\n
A system that uses Yolov7 to track people's movements and perform heat map analysis of their stay status will be run on SiMa via the host machine.
We use Gstreamer, a framework that makes it easy to process multimedia data.<\/p>\n\n\n\n
Build and deploy<\/strong><\/h4>\n\n\n\n
Connect to device and build^{*1<\/sup>, Deploy^{*2<\/sup>This is done using a command set called the MPK tool provided by SiMa.<\/p>\n\n\n\n}}
\n
(*1) Build: Converting source code into an executable file.
(\u203b2) Deploy: Placing an executable file on a server<\/p>\n<\/div><\/div>\n\n\n\n
\n\n\n\n
In the next chapter, we will introduce how to set up the development environment on the development kit and host machine.<\/p>\n\n\n\n
\n
Purchase the development kit here<\/span><\/a><\/p>\n<\/div><\/div>\n\n\n\n
\n
\n
I replaced another company's GPU with SiMa.ai!
[Overview]<\/a><\/p>\n<\/div>\n\n\n\n
\n
I replaced another company's GPU with SiMa.ai!
[Environment Construction Part 1]<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n
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Company Profile<\/strong><\/h2>\n\n\n\n
\n\t
Company Name<\/dt>\n\t
SiMa Technologies, Inc.<\/dd>\n\t
Established<\/dt>\n\t
2018<\/dd>\n\t
location<\/dt>\n\t
America (Silicon Valley)<\/dd>\n\t
business<\/dt>\n\t
Providing SoC and SDK specialized for image processing edge AI<\/dd>\n<\/dl>\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"
SiMa.ai (hereinafter referred to as SiMa) is an edge computing platform that is comparable in performance to that of Alpha Inc., a company that provides GPUs (graphics processing units).<\/p>","protected":false},"author":1,"featured_media":0,"parent":9226,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page_product_otherpage.php","meta":{"_acf_changed":false,"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-9466","page","type-page","status-publish","hentry"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\n\t\t\n

Requirement Type<\/th>\n	detail<\/th>\n <\/tr>\n
Host Machine<\/td>\n	\n \n Architecture: x86_64 machine<\/li>\n Number of CPU cores: Minimum 4 cores<\/li>\n Memory: Minimum 16GB RAM<\/li>\n Storage: At least 30GB of local storage<\/li>\n [Recommended] SSD storage for faster installation<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n
OS<\/td>\n	\n \n Ubuntu: 20.04 LTS, 22.04 LTS<\/li>\n Windows: 10 Pro, 11 Pro<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n
Docker Engine<\/td>\n	\n \n Ubuntu Docker Engine: v20.10.21 or higher<\/li>\n Windows Docker Engine: v23.0<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n
Python<\/td>\n	\n \n Version: Python 3.8.10 or later<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n
Open Port<\/td>\n	\n \n Port 80 (HTTP)<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n
Firewall settings<\/td>\n	\n \n Port 80 (HTTP): Incoming and outgoing traffic<\/li>\n Docker external network communication<\/li>\n Access to remote devices via SSH using port 22<\/li>\n <\/ul>\n <\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n<\/figure>\n\n\n\n Building a heat map analysis system in SiMa<\/strong><\/h4>\n\n\n\n A system that uses Yolov7 to track people's movements and perform heat map analysis of their stay status will be run on SiMa via the host machine. We use Gstreamer, a framework that makes it easy to process multimedia data.<\/p>\n\n\n\n Build and deploy<\/strong><\/h4>\n\n\n\n Connect to device and build^{1<\/sup>, Deploy^{2<\/sup>This is done using a command set called the MPK tool provided by SiMa.<\/p>\n\n\n\n}} \n (*1) Build: Converting source code into an executable file. (\u203b2) Deploy: Placing an executable file on a server<\/p>\n<\/div><\/div>\n\n\n\n \n\n\n\n In the next chapter, we will introduce how to set up the development environment on the development kit and host machine.<\/p>\n\n\n\n \n Purchase the development kit here<\/span><\/a><\/p>\n<\/div><\/div>\n\n\n\n \n \n I replaced another company's GPU with SiMa.ai! [Overview]<\/a><\/p>\n<\/div>\n\n\n\n \n I replaced another company's GPU with SiMa.ai! [Environment Construction Part 1]<\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n \n Company Profile<\/strong><\/h2>\n\n\n\n \n\t Company Name<\/dt>\n\t SiMa Technologies, Inc.<\/dd>\n\t Established<\/dt>\n\t 2018<\/dd>\n\t location<\/dt>\n\t America (Silicon Valley)<\/dd>\n\t business<\/dt>\n\t Providing SoC and SDK specialized for image processing edge AI<\/dd>\n<\/dl>\n<\/div><\/div>","protected":false},"excerpt":{"rendered":" SiMa.ai (hereinafter referred to as SiMa) is an edge computing platform that is comparable in performance to that of Alpha Inc., a company that provides GPUs (graphics processing units).<\/p>","protected":false},"author":1,"featured_media":0,"parent":9226,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page_product_otherpage.php","meta":{"_acf_changed":false,"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-9466","page","type-page","status-publish","hentry"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\n\t\t\n

Overall Table of Contents<\/h2>\n\n\n\nThe transplant procedure is as follows:<\/p>\n\n\n\n\n\nStep 1: Overview<\/p>\n\n\n\n\n<\/figure>\n<\/div><\/div>\n\n\n\n\nOverview<\/a><\/li>\n<\/ul>\n<\/div>\n\n\n\n\nStep-2: Preparation<\/p>\n\n\n\n

The goal of this chapter, "Preparation"<\/h2>\n\n\n\n\nUnderstand the environment required to run SiMa<\/li>\n<\/ul>\n\n\n\nThe results of this demo video are as follows:<\/p>\n\n\n\n

SiMa Development Kit 2<\/h4>\n\n\n\n<\/figure><\/div>\n\n\n

SiMa Development Kit Development Kit 2 version<\/h4>\n\n\n\n\nDevelopment Kit 2<\/li>\n\n\n\n

Setting up the SiMa development board environment<\/h4>\n\n\n\nUpdate your development kit firmware to the latest version.<\/p>\n\n\n\n

The goal of this chapter, "Preparation"<\/h2>\n\n\n\n
\n
Understand the environment required to run SiMa<\/li>\n<\/ul>\n\n\n\n
The results of this demo video are as follows:<\/p>\n\n\n\n
\n
\n
\n

Setting up the SiMa development board environment<\/h4>\n\n\n\n
Update your development kit firmware to the latest version.<\/p>\n\n\n\n