generateTrainTestSplit
Short Description
The function generates a mask for the deep learning model training, using automated approaches. Splitting the data into training, validation and test sets is also included in the function, making it easier to feed the data directly into the deep learning algorithm. Note that manually drawing the mask on thumbnails is the ideal approach, however for scalability purposes, automation is used.
Function¶
generateTrainTestSplit(thumbnailFolder, projectDir, file_extension=None, verbose=True, TruePos='TruePos', NegToPos='NegToPos', TrueNeg='TrueNeg', PosToNeg='PosToNeg')
¶
Parameters:
Name | Type | Description | Default |
---|---|---|---|
thumbnailFolder |
list
|
List of folders that contains the human sorted Thumbnails that is to be used for generating training data and split them train test and validation cohorts. |
required |
projectDir |
str
|
Path to output directory. |
required |
file_extension |
str
|
If there are non-image files in the thumbnailFolder, the user can specify a file extension to only select those files for processing. The default is None. |
None
|
verbose |
bool
|
If True, print detailed information about the process to the console. |
True
|
TruePos |
str
|
Name of the folder that holds the Thumbnails classified as True Positive. The default is 'TruePos'. |
'TruePos'
|
NegToPos |
str
|
Name of the folder that holds the Thumbnails classified as True Negative. The default is 'NegToPos'. |
'NegToPos'
|
TrueNeg |
str
|
Name of the folder that holds the Thumbnails that were moved from |
'TrueNeg'
|
PosToNeg |
str
|
Name of the folder that holds the Thumbnails that were moved from |
'PosToNeg'
|
Returns:
Name | Type | Description |
---|---|---|
masks |
images
|
Segmentation masks are generated for every Thumbnail and split into Train, Test and Validation cohorts. |
Example
# High level working directory
projectDir = '/Users/aj/Documents/cspotExampleData'
# Folder where the raw Thumbnails are stored
thumbnailFolder = [projectDir + '/CSPOT/Thumbnails/CD3D',
projectDir + '/CSPOT/Thumbnails/ECAD']
# The function accepts the four pre-defined folders. If you had renamed them, please change it using the parameter below.
# If you had deleted any of the folders and are not using them, replace the folder name with `None` in the parameter.
cs.generateTrainTestSplit ( thumbnailFolder,
projectDir=projectDir,
file_extension=None,
TruePos='TruePos', NegToPos='NegToPos',
TrueNeg='TrueNeg', PosToNeg='PosToNeg')
# Same function if the user wants to run it via Command Line Interface
python generateTrainTestSplit.py --thumbnailFolder /Users/aj/Desktop/cspotExampleData/CSPOT/Thumbnails/CD3D /Users/aj/Desktop/cspotExampleData/CSPOT/Thumbnails/ECAD --projectDir /Users/aj/Desktop/cspotExampleData/
Source code in cspot/generateTrainTestSplit.py
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