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Created page with "{{InfoBoxTop}} {{AppliesToMito8M}} {{AppliesToMachineLearning}} {{InfoBoxBottom}} {{WarningMessage|text=This technical note was validated against specific versions of hardware..."
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{{AppliesToMito8M}}
{{AppliesToMachineLearning}}
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{{WarningMessage|text=This technical note was validated against specific versions of hardware and software. What is described here may not work with other versions.}}
[[Category:MISC-AN-TN]]
[[Category:MISC-TN]]
== History ==
{| class="wikitable" border="1"
!Version
!Date
!Notes
|-
|1.0.0
|March 2020
|First public release
|}
==Introduction==
In [[SBCX-TN-005: Using TensorFlow to implement a Deep Learning image classifier based on Azure Custom Vision-generated model|this Technical Note (SBCX-TN-005)]] (TN for short), a simple image classifier was implemented on the [[:Category:AxelLite|Axel Lite SoM]].
In this [[MISC-TN-010: Using NXP eIQ Machine Learning Development Environment with Mito8M SoM|TN (MISC-TN-010)]], it is illustrated how to run NXP eIQ Machine Learning software on i.MX8M-powered [[:Category:Mito8M|Mito8M SoM]].
This article combines the results shown in the TN's just mentioned. In other words, it describes how to run the same image classifier used in SBCX-TN-005 with the eIQ software stack. The outcome is an optimized imaging classification application written in C++ running on Mito8M SoM and that makes use of eIQ software stack.
{{AppliesToMito8M}}
{{AppliesToMachineLearning}}
{{InfoBoxBottom}}
{{WarningMessage|text=This technical note was validated against specific versions of hardware and software. What is described here may not work with other versions.}}
[[Category:MISC-AN-TN]]
[[Category:MISC-TN]]
== History ==
{| class="wikitable" border="1"
!Version
!Date
!Notes
|-
|1.0.0
|March 2020
|First public release
|}
==Introduction==
In [[SBCX-TN-005: Using TensorFlow to implement a Deep Learning image classifier based on Azure Custom Vision-generated model|this Technical Note (SBCX-TN-005)]] (TN for short), a simple image classifier was implemented on the [[:Category:AxelLite|Axel Lite SoM]].
In this [[MISC-TN-010: Using NXP eIQ Machine Learning Development Environment with Mito8M SoM|TN (MISC-TN-010)]], it is illustrated how to run NXP eIQ Machine Learning software on i.MX8M-powered [[:Category:Mito8M|Mito8M SoM]].
This article combines the results shown in the TN's just mentioned. In other words, it describes how to run the same image classifier used in SBCX-TN-005 with the eIQ software stack. The outcome is an optimized imaging classification application written in C++ running on Mito8M SoM and that makes use of eIQ software stack.
