saveInstanceLabelsParFor.m File Reference

saveInstanceLabelsParFor(fn, imageFilename, instanceBoxes, instanceNames, instanceMasks, compressModels) saving from parfor loop converted labels for training of 2D instance segmentation as it is not possible to use save directly inside parfor. This function is used in mibDeepController.processImagesForInstanceSegmentation to preprocess instance labels More...

Functions
function	saveInstanceLabelsParFor (fn, imageFilename, instanceBoxes, instanceNames, instanceMasks, compressModels)
	saveInstanceLabelsParFor(fn, imageFilename, instanceBoxes, instanceNames, instanceMasks, compressModels) saving from parfor loop converted labels for training of 2D instance segmentation as it is not possible to use save directly inside parfor. This function is used in mibDeepController.processImagesForInstanceSegmentation to preprocess instance labels

Detailed Description

saveInstanceLabelsParFor(fn, imageFilename, instanceBoxes, instanceNames, instanceMasks, compressModels) saving from parfor loop converted labels for training of 2D instance segmentation as it is not possible to use save directly inside parfor. This function is used in mibDeepController.processImagesForInstanceSegmentation to preprocess instance labels

Function Documentation

saveInstanceLabelsParFor()

function saveInstanceLabelsParFor	(		fn,
			imageFilename,
			instanceBoxes,
			instanceNames,
			instanceMasks,
			compressModels )

saveInstanceLabelsParFor(fn, imageFilename, instanceBoxes, instanceNames, instanceMasks, compressModels) saving from parfor loop converted labels for training of 2D instance segmentation as it is not possible to use save directly inside parfor. This function is used in mibDeepController.processImagesForInstanceSegmentation to preprocess instance labels

Parameters

fn	string with the full output filename
imageFilename	string with the corresponding image filename
instanceBoxes	matrix [N×4 double] containing bounding box coordinates of objects, where N is a number of objects on the image
instanceNames	array [N×1 categorical] containing names of objects, currently the same name should be used for all objects, can be any string converted to categorical.
instanceMasks	matrix [720×1280×N logical] binary masks where each slice represents individual object that should match the corresponding entry in instanceBoxes and instanceNames
compressModels	logical switch to use of not compression for images