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This is a new feature in Joget DX

Table of Contents

Introduction

English
The Simple Tensorflow AI Decision plugin allows one to map it on a process route, execute a pre-trained Tensorflow AI model and use the output result for decision making.

Warning

The following are the list of required items before using Simple Tensorflow AI Decision:

an exported frozen model of Tensorflow AI model file in .pb format
the list of Input Names and each of their Data Type
the list of Output Names and each of their Data Type
Dictionary file in .csv format (if any)

Warning
Please take note that the Decision Tool Plugin will take precedence over existing conventional conditional setup in the Process Builder

Panel

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bgColor	white
borderWidth	1
titleBGColor	#ddccff
borderStyle	solid
title	New Feature

This is a new feature in Joget DX

Simple Tensorflow AI Decision Properties

Simple Tensorflow AI Decision

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Name	Description

Screens (click to view)

Tensorflow Session

The Tensorflow Session properties are defined here:

Sub-element

Description

Add Session

Add a Session. see Add Session properties below.

Add Post Processing

When hovering the mouse over the Add Post Processing, a list of Post Processing types will be available as shown below:

BeanShell Script - see Add Post Processing - BeanShell Script properties
Values to Labels - see Add Post Processing - Values to Labels properties
Euclidean Distance - see Add Post Processing - Euclidean Distance properties
Probabilities to Labels - see Add Post Processing - Probabilities to Labels properties

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Rules

The Rules properties are defined defined

the same in Simple Rules Decision.

...

here:

Sub-element	Description
Add Rule	Add a Rule. see Add Rule properties below
Add Action	Adds an Action within the ELSE THEN statement. see Add Action properties below

Add Session

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Sub-element	Description

Screens (click to view)


Model	Choose File - Select an AI model to run Clear - clear selected AI model

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Image Modified	Delete Session

Add

Input Output

When hovering the mouse over the Add Input, a list of Pre-Processing Input types will be available as shown below:

BeanShell Script - see Add Input - Beanshell Script properties
Image - see Add Input - Image properties
Boolean - see Add Input - Boolean properties
Audio MelSpectogram - see Add Input - Audio Melspectogram properties
Numbers - see Add Input - Numbers properties
Text - see Add Input - Text properties

Add Output

see Add Output properties

Add Input

BeanShell Script

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Sub-element	Description

Screens (click to view)


Input Name	Defined Input Tensor

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Script	Script in Java. Please see Bean Shell Programming Guide for code example.
Image Modified	Delete Input

Image

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Sub-element	Description

Screens (click to view)


Input Name	Defined Input Tensor

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Type

Float
Double
Integer
UInt8
Long

File Source

Retrieve from URL
<list of all available Forms>

URL or Image Upload Field ID

URL input if Retrieve from URL was selected as the File Source
Image Upload Field ID if a Form was selected as the File Source

Width

Width in Integer

Height

Height in Integer

Mean

Mean in Integer

Note

title	Note

If its not defined, set to 1

Scale

Scale in Integer

Note

title	Note

If its not defined, set to 1

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Delete Input

Boolean

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Sub-element	Description

Screens (click to view)


Input Name	Defined Input Tensor

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Value

Type	True False
Image Modified	Delete Input

Audio MelSpectrogram

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Sub-element	Description

Screens (click to view)


Input Name	Defined Input Tensor

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File Source	Retrieve from URL <list of all available Forms>
URL or File Upload Field ID	URL input if Retrieve from URL was selected as the File Source File Upload Field ID if a Form was selected as the File Source
Width	Width in Integer
Height	Height in Integer
FFT Size	FFT Size in Integer
Overlap Size	Overlap Size in Integer
Min Frequency (Hz)	Minimum Frequency (Hz) in
Max Frequency (Hz)	Maximum Frequency (Hz) in
Image Modified	Delete Input

Numbers

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Sub-element	Description

Screens (click to view)

Input Name

Defined Input Tensor

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Type	Float Double Integer UInt8 Long
Number Values (Separated by)	separate number values by ;
Image Modified	Delete Input

Text

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Sub-element	Description

Screens (click to view)


Input Name	Defined Input Tensor

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Type	Float Double Integer UInt8 Long
Text Value	The text value inputted to be inserted into the Tensor. Can use Hash Variable.
Dictionary (JSON/CSV)	Dictionary in JSON or CSV format
Max Length	Maximum Length
Leave Empty

On

In Front

check to leave the

first character

front of the

text as empty

Value as Empty (or whatever value based on dictionary)
Image Modified	Delete Input

Add Output

Text

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Sub-element	Description

Screens (click to view)


Output Name	Defined Output Tensor

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Temporary Variable Name	The Output Tensor Value will be inserted into this user-defined Temporary Variable to be later used during Post-Processing
Image Modified	Delete Output

Add Post Processing

BeanShell Script

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Sub-element	Description

Screens (click to view)


Post Processing Name	User-defined variable. Can be used as a Variable in the Rules

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Script

Script in Java. Please see Bean Shell Programming Guide for code example.

Injected variables available for consumption are:-

String Name
Map tfVariables
Map Variables
Map tempDataHolder

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Delete Post-Processing

Values to Labels

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Sub-element	Description

Screens (click to view)


Post Processing Name	User-defined variable. Can be used as a Variable in the Rules

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Get Unique Only	Check to get only unique value only
Labels (CSV)	Dictionary file in .csv format
Temporary Variable Name	List of Temporary Variables from Output
Number of Values	List of Temporary Variables from Output
Image Modified	Delete Post-Processing

Euclidean Distance

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Sub-element	Description

Screens (click to view)


Post-Processing Name	User-defined variable. Can be used as a Variable in the Rules

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Temporary Variable Name	List of Temporary Variables from Output
Temporary Variable Name	List of Temporary Variables from Output
Image Modified	Delete Post-Processing

Probabilities to Labels

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Sub-element	Description

Screens (click to view)


Post Processing Name	User-defined variable. Can be used as a Variable in the Rules

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Threshold	set the Threshold value e.g. 0.01
Get Highest Only	Check to get the highest value only
Labels (CSV)	Dictionary file in .csv format
Temporary Variable Name	List of Temporary Variables from Output
Image Modified	Delete Post-Processing

Add Rule

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Name	Description
Image Added	Toggle between EQUAL and NOT EQUAL
Split Type	AND OR
Add Condition	Adds a Condition within the IF statement. see Add Condition properties below
Add Group	Adds a Group within the IF statement. Properties will be similar in Add Rule properties
Image Added	Delete Rule
Image Added	Sort - Click and drag to reorder Rule above or below another Rule
Add Action	Adds an Action within the THEN statement.

Add Condition

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Name	Description
Image Added	Toggle between EQUAL and NOT EQUAL
Variable	User input the variable name. Also accepts the use Temporary Variable or Post Processing Name
Operation	Equal Greater Than Greather Than Or Equal To Less Than Less Than Or Equal To Is True Is False Contains In Regex Match
Value	User to input the value of the Variable
Image Added	Delete Condition

Add Action

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Name

Description

Type

Transition
Workflow Variable

Transition

Will display a selection of all available transitions based on the selected Route inserted as part of the process flow

Note

title	Note

This field will be displayed if Transition is selected in the Type field.

Workflow Variable

Will display a selection of all available workflow variables based on the current Process

Note

title	Note

This field will be displayed if Workflow Variable is selected in the Type field.

Value

User to input the value of the selected Workflow Variable. Also accepts the use Temporary Variable or Post Processing Name

Note

title	Note

This field will be displayed if Workflow Variable is selected in the Type field.

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Delete Action

Download Sample App

Demo AI - Facial Recognition app:

APP_demo_ai_face_recog-demoApp_noPB.zip

Note: The pre-trained AI model below must be added to this app before ready to use.

Pre-trained AI model:

AI Model Download Link

Note: Please download the AI model here, extract the zip, and add the 20180402-114759.pb file into the app's Resource in the Properties and Export app design menu.

Credits:

Facenet Tensorflow for pre-trained AI model: https://github.com/davidsandberg/facenet

VGGFace2 for the training dataset: https://github.com/ox-vgg/vgg_face2

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