Classes | |
| class | EClassifierCapacity |
| The capacity of the classifier network. More... | |
| class | EConfusionMatrixElement |
| The various elements representing the cases of the 2x2 confusion matrix used in eVision.EasyDeepLearning.EDeepLearningDefectDetectionMetrics. More... | |
| class | EDatasetType |
| Type of dataset split. More... | |
| class | EDeepLearningDeviceType |
| Different types of Deep Learning device. More... | |
| class | EDeepLearningInferencePrecision |
| Precisions supported by a Deep Learning device. More... | |
| class | EDeepLearningLearningRateType |
| The type of learning rate indicates how the learning rate changes during training. More... | |
| class | EDeepLearningToolType |
| Type of EasyDeepLearning tool. More... | |
| class | EDeepOCRModel |
| EasyDeepOCR models that are trainable with eVision.EasyDeepLearning.EDeepOCRTool. More... | |
| class | EDLDataAugmentationType |
| This enum represents how the data augmentation transformation are generated. More... | |
| class | EHeatmapColormap |
| Color maps for visualizing the heatmap. More... | |
| class | EImageAnnotationFormat |
| Supported formats of annotation files for image file. More... | |
| class | ELocatorCapacity |
| The capacity of the locator deep learning network. More... | |
| class | ELocatorFeature |
| Features supported by the eVision.EasyDeepLearning.ELocator or eVision.EasyDeepLearning.ELocatorObject. More... | |
| class | ESupervisedSegmenterCapacity |
| The capacity of the supervised segmentation network. More... | |
| class | EUnsupervisedSegmenterCapacity |
| The capacity of the unsupervised network. More... | |
| class | EClassificationDataset |
| eVision.EasyDeepLearning.EClassificationDataset manages a dataset of images. More... | |
| class | EClassificationMetrics |
| Collection of metrics used to evaluate the state of an eVision.EasyDeepLearning.EClassifier. More... | |
| class | EClassificationResult |
| An eVision.EasyDeepLearning.EClassificationResult object represents the result of a classification. More... | |
| class | EClassifier |
| eVision.EasyDeepLearning.EClassifier allows to train a classifier using an eVision.EasyDeepLearning.EDataset object and classify new images. More... | |
| class | EDataAugmentation |
| An eVision.EasyDeepLearning.EDataAugmentation object is responsible for storing the data augmentation parameters and generating new transformed images from existing ones. More... | |
| class | EDataset |
| eVision.EasyDeepLearning.EDataset manages a dataset of images. More... | |
| class | EDatasetSplit |
| The eVision.EasyDeepLearning.EDatasetSplit maps the image indexes of a eVision.EasyDeepLearning.EDataset to a dataset split type (eVision.EasyDeepLearning.EDatasetType). More... | |
| class | EDeepLearningBenchmark |
| Deep Learning benchmark results. More... | |
| class | EDeepLearningBenchmarkSettings |
| Class representing the settings of a Deep Learning benchmark. More... | |
| class | EDeepLearningDefectDetectionMetrics |
| Collection of metrics used to evaluate a defect detection problem where the detection is based on the thresholding of a score produced by the underlying deep learning tool, e.g. More... | |
| class | EDeepLearningDevice |
| Class representing a device that can run a neural network. More... | |
| class | EDeepLearningExecutionSettings |
| Execution settings for a Deep Learning tool. More... | |
| class | EDeepLearningProject |
| Deep learning project. More... | |
| class | EDeepLearningTool |
| eVision.EasyDeepLearning.EDeepLearningTool represents the common operations of deep learning tools. More... | |
| class | EDeepOCRModelParameters |
| Base class for the parameters of EasyDeepOCR models for user retraining. More... | |
| class | EDeepOCRModelParametersTextLocation |
| Parameters for the user retraining of the text location model of EasyDeepOCR. More... | |
| class | EDeepOCRTool |
| Trains the EasyDeepOCR Deep Learning models. More... | |
| class | EDeepOCRToolMetrics |
| Metrics for eVision.EasyDeepLearning.EDeepOCRTool. More... | |
| class | EDeepOCRToolResult |
| Result for eVision.EasyDeepLearning.EDeepOCRTool. More... | |
| class | EInterestPointLocator |
| EasyLocate tool - interest point version. More... | |
| class | ELocator |
| EasyLocate tool - axis aligned bounding box version. More... | |
| class | ELocatorBase |
| Base class for EasyLocate tool. More... | |
| class | ELocatorMetrics |
| Collection of metrics used to evaluate the results of a eVision.EasyDeepLearning.ELocator tool. More... | |
| class | ELocatorMetricsGenerator |
| Locator metric generator. More... | |
| class | ELocatorObject |
| Object for a eVision.EasyDeepLearning.ELocator tool. More... | |
| class | ELocatorPredictedObject |
| Object predicted by a eVision.EasyDeepLearning.ELocator tool. More... | |
| class | ELocatorResult |
| Result of a eVision.EasyDeepLearning.ELocator tool. More... | |
| class | ESupervisedSegmenter |
| Supervised segmentation tool. More... | |
| class | ESupervisedSegmenterBlob |
| A blob detected by a supervised segmentation tool (see eVision.EasyDeepLearning.ESupervisedSegmenter and eVision.EasyDeepLearning.ESupervisedSegmenterResult). More... | |
| class | ESupervisedSegmenterMetrics |
| Collection of metrics used to evaluate the state of a eVision.EasyDeepLearning.ESupervisedSegmenter tool. More... | |
| class | ESupervisedSegmenterResult |
| An eVision.EasyDeepLearning.ESupervisedSegmenterResult object represents the result of a supervised segmenter. More... | |
| class | EUnsupervisedSegmenter |
| Unsupervised segmentation tool. More... | |
| class | EUnsupervisedSegmenterMetrics |
| Collection of metrics used to evaluate the state of an eVision.EasyDeepLearning.EUnsupervisedSegmenter. More... | |
| class | EUnsupervisedSegmenterResult |
| An eVision.EasyDeepLearning.EUnsupervisedSegmenterResult object represents the result of a eVision.EasyDeepLearning.EUnsupervisedSegmenter tool. More... | |
| class | EROCPoint |
| The structure representing a point on the ROC (Receiver Operating Characteristic) curve. More... | |
| class | EWeightedPrecisionRecallPoint |
| Weighted precision and recall for a given threshold. More... | |
Variables | |
| list | __all__ |
|
private |