ESupervisedSegmenterResult Class

An ESupervisedSegmenterResult object represents the result of a supervised segmentater.

Namespace: Euresys::Open_eVision::EasyDeepLearning

Methods

Draws the segmentation.
The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.
Constructs a non-valid ESupervisedSegmenterResult.
Detected blobs for all labels or for the specified label.
Classification threshold for determining whether the image contains blobs with a label different than background.
By default, its value is given by the supervised segmenter that produced this result.
Colorized version of the segmentation map.
Colorized version of the segmentation map with transparency.
Ground truth segmentation map.
By default, the ground truth segmentation map is all background.
Height of the source image and of the segmentation result.
Metrics for the image.
You must set the ESupervisedSegmenterResult::GroundtruthSegmentationMap before accessing this field.
Label at the given index.
Color of a label.
Number of detected blobs for all labels or for the specified label.
Number of segmentation labels of the supervised segmenter that produced this result.
Probability map for the given label.
The probability values are mapped between 0 and 255.
Region corresponding to the given label.
Score used to determine whether the result contains segments that are not background.
Segmentation result.
Width of the source image and of the segmentation result.
Whether the predicted segmnetation contains non-background pixels.
Whether the result is associated with a ground truth segmentation map.
Indicates whether the result is valid and ready to be used.
A default contructed ESupervisedSegmenterResult is not valid.
Assignment operator
Removes any ground truth associated with the result.
Classification threshold for determining whether the image contains blobs with a label different than background.
By default, its value is given by the supervised segmenter that produced this result.
Ground truth segmentation map.
By default, the ground truth segmentation map is all background.

ESupervisedSegmenterResult Class

An ESupervisedSegmenterResult object represents the result of a supervised segmentater.

Namespace: Euresys.Open_eVision.EasyDeepLearning

Properties

Classification threshold for determining whether the image contains blobs with a label different than background.
By default, its value is given by the supervised segmenter that produced this result.
Colorized version of the segmentation map.
Colorized version of the segmentation map with transparency.
Ground truth segmentation map.
By default, the ground truth segmentation map is all background.
Height of the source image and of the segmentation result.
Metrics for the image.
You must set the ESupervisedSegmenterResult::GroundtruthSegmentationMap before accessing this field.
Number of segmentation labels of the supervised segmenter that produced this result.
Score used to determine whether the result contains segments that are not background.
Segmentation result.
Width of the source image and of the segmentation result.

Methods

Draws the segmentation.
The detected segment are drawn with the label color specified in the dataset used for training. The pixel classified as background are transparent.
Constructs a non-valid ESupervisedSegmenterResult.
Detected blobs for all labels or for the specified label.
Label at the given index.
Color of a label.
Number of detected blobs for all labels or for the specified label.
Probability map for the given label.
The probability values are mapped between 0 and 255.
Region corresponding to the given label.
Whether the predicted segmnetation contains non-background pixels.
Whether the result is associated with a ground truth segmentation map.
Indicates whether the result is valid and ready to be used.
A default contructed ESupervisedSegmenterResult is not valid.
Assignment operator
Removes any ground truth associated with the result.