New Workflow Model Examples

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• Job Example
• Workflow Example
• WorkflowJob Example

Job Example

Suppose we have two images from a table-book we would like to process. For our example, this will include:

1. binarization
2. border cropping (interactive)
3. segmentation (interactive)
4. classification for lute tablature
5. classification for voice

Let's assume that these tasks can be taken care of by five different jobs.

Binarization

• name: binarization
• description: Given a colour PNG, returns a onebit PNG.
• interactive: false
• settings:

key	range
threshold	non-negative integer

• input_port_types:

name	resource_type	minimum	maximum
image	image/rgb+png	1	1

• output_port_types:

name	resource_type
image	image/onebit+png

Border Cropping

• name: border_cropping
• description: Given a onebit PNG, an interactive job is launched that allows to mask a square of the given image, leaving the remaining border white.
• interactive: true
• settings: none
• input_port_types:

name	resource_type	minimum	maximum
image	image/onebit+png	1	1

• output_port_types:

name	resource_type
image	image/onebit+png

Segmentation

• name: segmentation
• description: Given a onebit PNG, an interactive job is launched that allows the user to denote areas of the image with one of three labels. The possible labels are "lute", "voice", and "perc".
• interactive: true
• settings: none
• input_port_types:

name	resource_type	minimum	maximum
image	image/onebit+png	1	1

• output_port_types:

name	resource_type
lute	image/onebit+png
voice	image/onebit+png
perc	image/onebit+png

Lute Tab Classification

• name: classification_lute_tab
• description: Given a onebit PNG and XML classifier file for lute tab, returns an XML classifier result file.
• interactive: false
• settings: none
• input_port_types:

name	resource_type	minimum	maximum
image	image/onebit+png	1	1
classifier	application/xml	1	1

• output_port_types:

name	resource_type
classifier_result	xml

Voice Classification

• name: classification_voice
• description: Given a onebit PNG and XML classifier file for voice, returns an XML classifier result file.
• interactive: false
• settings: none
• input_port_types:

name	resource_type	minimum	maximum
image	image/onebit+png	1	1
classifier	application/xml	1	1

• output_port_types:

name	resource_type
classifier_result	application/xml

Workflow Example

Given the above jobs, we can construct the appropriate WorkflowJobs which will then form a complete Workflow.

WorkflowJob Example

WorkflowJob 1

• job: binarization
• settings: none
• input_ports:

label	input_port_type
input1-1	image

• output_ports:

label	output_port_type
output1-1	image

WorkflowJob 2

• job: border_cropping
• settings: none
• input_ports:

label	input_port_type
input2-1	image

• output_ports:

label	output_port_type
output2-1	image

WorkflowJob 3

Notice how this WorkflowJob has only two output_ports despite the associated Job (segmentation) having three output_port_types. The segmentation Job is able to provide "lute", "voice", and "perc" outputs, but WorkflowJob 3 will deliver only the "lute" and "voice" parts.

• job: segmentation
• settings: none
• input_ports:

label	input_port_type
input3-1	image

• output_ports:

label	output_port_type
output3-1	lute
output3-2	voice

WorkflowJob 4

• job: classification_lute_tab
• settings: none
• input_ports:

label	input_port_type
input4-1	lute
input4-2	classifier

• output_ports:

label	output_port_type
output4-1	classifier_result

WorkflowJob 5

• job: classification_voice
• settings: none
• input_ports:

label	input_port_type
input5-1	voice
input5-2	classifier

• output_ports:

label	output_port_type
output5-1	classifier_result