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CVBpy 14.0
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CVBpy 14.0
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Classifier type that operates on images. More...
Inherits SampleImageList.
Public Member Functions | |
| cvb.sample_database.ImageRegressionLabelInfo | get_value_for_sample (self, int sample_index) |
| Retrieve the label information that goes with a given sample. More... | |
| int | regression_dimension_max () |
| Maximum regression dimension to be used. More... | |
| cvb.sample_database.SampleRegressionImageList | transform_images (self, Callable[[cvb.Image], cvb.Image] transform_callback) |
| Transform this sample image list into a new sample image list by transforming each sample inside it. More... | |
| cvb.sample_database.SampleRegressionImageList | transform_labels (self, Callable[[List[float]], List[float]] transform_callback) |
| Transform this sample image list into a new sample image list by transforming each label inside it. More... | |
| cvb.sample_database.SampleRegressionImageList | transform_to_classification_list (self, Callable[[List[float]], str] transform_callback) |
| Transform this sample image list into a new sample image list by transforming each label inside it. More... | |
 Public Member Functions inherited from SampleImageList | |
| cvb.Image | get_sample_image (self, int sample_index) |
| Retrieve an image by its overall sample index (ranging from 0 to num_samples-1). More... | |
| bool | is_compatible (self, cvb.Image img) |
| Check whether a CVB image is compatible with this image list, i.e. More... | |
| None | set_feature_window (self, cvb.Point2D location, cvb.Size2D size, cvb.Point2D origin) |
| Redefine the feature window of the sample image list. More... | |
| Public Member Functions inherited from SampleList | |
| None | save (self, str file_name) |
| Save the sample list to a file. More... | |
Properties | |
| regression_dimension = property | |
| int: Get the dimension of the regression labels used in this sample image list. | |
| values = property | |
| cvb.sample_database.ImageRegressionInfoCollection: Get the class collection. | |
| Properties inherited from SampleImageList | |
| feature_window_location = property | |
| cvb.Point2D: Location of the feature window (position of left top corner inside the image). | |
| feature_window_origin = property | |
| cvb.Point2D: Location of the feature window origin in pixel coordinates measured from the left top corner of the feature window. | |
| feature_window_size = property | |
| cvb.Size2D: Size of the feature window. | |
| fringes = property | |
| cvb.sample_database.Fringes: Get fringes (= size difference between the images and the feature window) of the sample images. | |
| image_data_type = property | |
| cvb.DataType: Data type of the images that can be added to the image list (all planes must have same data type). | |
| image_dimension = property | |
| int: Dimension (# of planes) of the images that can be added to the image list. | |
| image_size = property | |
| cvb.Size2D: Size of the images (in pixels) that can be added to the image list. | |
| Properties inherited from SampleList | |
| average_sample_count = property | |
| float: Average number samples in per class of the sample list. | |
| comment = property | |
| str: The comment text. | |
| file_name = property | |
| str: Name of the file from which this image list was loaded (empty string if this image list was neither loaded nor saved since its construction). | |
| max_sample_count = property | |
| int: Number samples in the largest class of the sample list. | |
| min_sample_count = property | |
| int: Number samples in the smallest class of the sample list. | |
| num_classes = property | |
| int: Number of distinguishable classes in the sample list. | |
| num_samples = property | |
| int: Total number of samples in the sample list. | |
Classifier type that operates on images.
Instantiates a SampleImageList object.
image_data_type : cvb.sample_database.SampleListImageDataType Data type of the images to be added to the sample image list. (1)
regression_dimension : int Dimension of the regression vector. Must be greater than 0 and less than or equal regression_dimension_max. (1)
Instantiates a SampleImageList object.
file_name : str Name of the file to be loaded. (2)
| cvb.sample_database.ImageRegressionLabelInfo get_value_for_sample | ( | self, | |
| int | sample_index | ||
| ) |
Retrieve the label information that goes with a given sample.
sample_index : int Index of the sample to retrieve the value for.
cvb.sample_database.ImageRegressionLabelInfo The regression label value for the sample referred to by sample_index.
| int regression_dimension_max | ( | ) |
Maximum regression dimension to be used.
int Maximal regression dimension.
| cvb.sample_database.SampleRegressionImageList transform_images | ( | self, | |
| Callable[[cvb.Image], cvb.Image] | transform_callback | ||
| ) |
Transform this sample image list into a new sample image list by transforming each sample inside it.
transform_callback : Callable[[cvb.Image], cvb.Image] Sample transformation callback.
cvb.sample_database.SampleRegressionImageList New sample list.
| cvb.sample_database.SampleRegressionImageList transform_labels | ( | self, | |
| Callable[[List[float]], List[float]] | transform_callback | ||
| ) |
Transform this sample image list into a new sample image list by transforming each label inside it.
transform_callback : Callable[[List[float]], List[float]] Label transformation callback.
cvb.sample_database.SampleRegressionImageList New sample list.
| cvb.sample_database.SampleRegressionImageList transform_to_classification_list | ( | self, | |
| Callable[[List[float]], str] | transform_callback | ||
| ) |
Transform this sample image list into a new sample image list by transforming each label inside it.
transform_callback : Callable[[List[float]], str] Label transformation callback.
cvb.sample_database.SampleRegressionImageList New sample list.