| | Name | Description |
|---|
  | ConvertImageArrayToTensor(List<Avl.Image>, Avl.Tensor) |
Converts an array of images with the same format to a NHWC tensor.
|
| ConvertImageToTensor(Avl.Image, Avl.Tensor) |
Converts an image to a NHWC tensor, with N equal to 1.
|
| ConvertRealArrayArrayToTensor(List<List<float>>, Avl.Tensor) |
Converts a two dimensional array of reals to a tensor with the NL ordering.
|
| ConvertRealArrayToTensor(List<float>, List<int>, Avl.TensorDataOrdering, Avl.Tensor) |
Converts an array of reals to a tensor with provided dimensions and the ordering.
|
| ConvertTensorToImageArray(Avl.Tensor, List<Avl.Image>) |
Converts a NHWC tensor to an array of images.
|
| ConvertTensorToImage(Avl.Tensor, Avl.Image) |
Converts a NHWC tensor to an image. Only data for N equal to 0 is converted.
|
| ConvertTensorToRealArrayArray(Avl.Tensor, List<List<float>>) |
Converts a tensor with the NL ordering to a two dimensional array of reals.
|
| ConvertTensorToRealArray(Avl.Tensor, List<float>) |
Converts a tensor to an array of reals.
|
| DestroyDeepLearningConnectionState() | |
| DL_ClassifyObject_AccessModel(string, List<string>, Conditional<int>) |
Returns the names of the classes used in training.
|
| DL_ClassifyObject_Deploy(string, Optional<Avl.DeviceKind>, int, bool, Avl.ClassifyObjectModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_ClassifyObject_Unload(Avl.ClassifyObjectModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_ClassifyObject(Avl.Image, Optional<Avl.Rectangle2D>, Optional<Avl.CoordinateSystem2D>, Avl.ClassifyObjectModelId, bool, List<Avl.ClassConfidence>, string, int, float, Avl.Heatmap, Optional<Avl.Rectangle2D>) |
Executes a Classify Object model on a single input image.
|
| DL_CleanDevice(Optional<Avl.DeviceKind>, int) |
Frees memory allocated for executing a models on a specific device.
|
| DL_CloseConnection() |
Closes connection to Service (e.g. to perform training).
|
| DL_ConfigureLogging(Avl.DeepLearningLogLevel) |
Filter is used to set minimum level of logged messages.
|
| DL_Configure(int, Optional<int>) |
Filter is used to change basic Deep Learning configuration.
|
| DL_DetectAnomalies1_Deploy(string, Optional<Avl.DeviceKind>, int, bool, Avl.DetectAnomalies1ModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_DetectAnomalies1_Unload(Avl.DetectAnomalies1ModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_DetectAnomalies1(Avl.Image, Avl.DetectAnomalies1ModelId, bool, float, Avl.Heatmap, bool, float, bool, float, float, Optional<Avl.Image>) |
Executes a Detect Anomalies 1 model on a single input image.
|
| DL_DetectAnomalies2_AccessModel(string, Avl.Size, float, float, Conditional<int>) |
Returns thresholds and accepted image size for trained model.
|
| DL_DetectAnomalies2_Deploy(string, Optional<Avl.DeviceKind>, int, Avl.DetectAnomalies2ModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_DetectAnomalies2_Unload(Avl.DetectAnomalies2ModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_DetectAnomalies2_WithThresholds(Avl.Image, Optional<Avl.Rectangle2D>, Optional<Avl.CoordinateSystem2D>, Avl.DetectAnomalies2ModelId, float, Optional<float>, float, Avl.Heatmap, bool, float, bool, Conditional<Avl.Region>, Optional<Avl.Rectangle2D>) |
Executes a Detect Anomalies 2 model on a single input image.
|
| DL_DetectAnomalies2(Avl.Image, Optional<Avl.Rectangle2D>, Optional<Avl.CoordinateSystem2D>, Avl.DetectAnomalies2ModelId, float, Avl.Heatmap, bool, float, bool, float, float, Conditional<Avl.Region>, Optional<Avl.Rectangle2D>) |
Executes a Detect Anomalies 2 model on a single input image.
|
| DL_DetectFeatures_Deploy(string, Optional<Avl.DeviceKind>, int, Optional<Avl.Size>, Avl.DetectFeaturesModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_DetectFeatures_Unload(Avl.DetectFeaturesModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_DetectFeatures(Avl.Image, Optional<Avl.Region>, Avl.DetectFeaturesModelId, bool, List<Avl.Heatmap>, Optional<Avl.Heatmap>, Optional<Avl.Heatmap>, Optional<Avl.Heatmap>, Optional<Avl.Heatmap>) |
Executes a Detect Features model on a single input image.
|
| DL_IsServiceRunning(Optional<int>, bool) |
Checks if the Deep Learning Service is running. If the input is empty, the filter
will try to connect indefinitely.
|
| DL_ListCudaDevices(List<Avl.CudaDevice>) |
Lists all available CUDA devices
|
| DL_LocateObjects_Deploy(string, Optional<Avl.DeviceKind>, int, Optional<Avl.Size>, Avl.LocateObjectsModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_LocateObjects_Unload(Avl.LocateObjectsModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_LocateObjects(Avl.Image, Optional<Avl.Region>, Avl.LocateObjectsModelId, float, float, List<Avl.ClassifiedRectangle>) |
Performs locating objects using a pretrained deep learning model.
|
| DL_LocatePoints_Deploy(string, Optional<Avl.DeviceKind>, int, Optional<Avl.Size>, Avl.LocatePointsModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_LocatePoints_Unload(Avl.LocatePointsModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_LocatePoints(Avl.Image, Optional<Avl.Region>, Avl.LocatePointsModelId, float, Optional<float>, bool, List<Avl.Location>, List<int>, List<string>, List<float>) |
Executes a Locate Points model on a single input image.
|
| DL_LocateText_Deploy(Optional<string>, Avl.LocateTextPretrainedModel, Optional<Avl.DeviceKind>, int, Optional<Avl.LocateTextDeployHint>, Avl.LocateTextModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_LocateText_Quantized_Deploy(Optional<string>, Avl.LocateTextPretrainedModelQuantized, Optional<Avl.DeviceKind>, int, Optional<Avl.LocateTextDeployHint>, Avl.LocateTextModelId) | |
| DL_LocateText_Unload(Avl.LocateTextModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_LocateText(Avl.Image, Optional<Avl.Rectangle2D>, Optional<Avl.CoordinateSystem2D>, Avl.LocateTextModelId, int, float, int, int, int, int, Avl.Heatmap, List<Avl.Region>, List<Avl.LocateTextResult>, Optional<Avl.Rectangle2D>) |
Performs text detection using a pre-trained deep learning model.
|
| DL_ReadCharacters_Deploy(Optional<string>, Avl.OcrPretrainedModel, Optional<Avl.DeviceKind>, int, Optional<Avl.OcrDeployHint>, Avl.ReadCharactersModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_ReadCharacters_Quantized_Deploy(Optional<string>, Avl.OcrPretrainedModelQuantized, Optional<Avl.DeviceKind>, int, Optional<Avl.OcrDeployHint>, Avl.ReadCharactersModelId) | |
| DL_ReadCharacters_Unload(Avl.ReadCharactersModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_ReadCharacters(Avl.Image, Optional<Avl.Rectangle2D>, Optional<Avl.CoordinateSystem2D>, Avl.ReadCharactersModelId, int, float, float, Optional<string>, float, float, Avl.Polarity, float, bool, bool, List<Avl.OcrResult>, List<List<Avl.OcrCandidate>>, List<Avl.Region>, Optional<Avl.Rectangle2D>, Diagnostic<Avl.Image>) |
Performs optical character recognition using a pretrained deep learning model.
|
| DL_SegmentInstances_Deploy_Deprecated(string, Optional<Avl.DeviceKind>, int, Optional<int>, Avl.SegmentInstancesModelId) | |
| DL_SegmentInstances_Deprecated(Avl.Image, Optional<Avl.Region>, Avl.SegmentInstancesModelId, Optional<float>, Optional<int>, List<Avl.Box>, List<int>, List<string>, List<float>, List<Avl.Region>) | |
| DL_SegmentInstances_Unload_Deprecated(Avl.SegmentInstancesModelId, bool) | |
| Equals(object) | Inherited from System.Object |
| GetHashCode() | Inherited from System.Object |
| GetType() | Inherited from System.Object |
| ToString() | Inherited from System.Object |
