| | Name | Description |
|---|
  | ConvertImageArrayToTensor(List<Fil.Image>, Fil.Tensor) |
Converts an array of images with the same format to a NHWC tensor.
|
| ConvertImageToTensor(Fil.Image, Fil.Tensor) |
Converts an image to a NHWC tensor, with N equal to 1.
|
| ConvertRealArrayArrayToTensor(List<List<float>>, Fil.Tensor) |
Converts a two dimensional array of reals to a tensor with the NL ordering.
|
| ConvertRealArrayToTensor(List<float>, List<int>, Fil.TensorDataOrdering, Fil.Tensor) |
Converts an array of reals to a tensor with provided dimensions and the ordering.
|
| ConvertTensorToImageArray(Fil.Tensor, List<Fil.Image>) |
Converts a NHWC tensor to an array of images.
|
| ConvertTensorToImage(Fil.Tensor, Fil.Image) |
Converts a NHWC tensor to an image. Only data for N equal to 0 is converted.
|
| ConvertTensorToRealArrayArray(Fil.Tensor, List<List<float>>) |
Converts a tensor with the NL ordering to a two dimensional array of reals.
|
| ConvertTensorToRealArray(Fil.Tensor, List<float>) |
Converts a tensor to an array of reals.
|
| DestroyDeepLearningConnectionState() | |
| DL_ClassifyObject_AccessDeepModel(string, List<string>) |
Returns the names of the classes used in training.
|
| DL_ClassifyObject_Deploy(string, Optional<Fil.DeviceKind>, int, bool, Fil.ClassifyObjectModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_ClassifyObject_Unload(Fil.ClassifyObjectModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_ClassifyObject(Fil.Image, Optional<Fil.Rectangle2D>, Optional<Fil.CoordinateSystem2D>, Fil.ClassifyObjectModelId, bool, List<Fil.ClassConfidence>, string, int, float, Fil.Heatmap, Optional<Fil.Rectangle2D>) |
Executes a Classify Object model on a single input image.
|
| DL_CleanDevice(Optional<Fil.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(Fil.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<Fil.DeviceKind>, int, bool, Fil.DetectAnomalies1ModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_DetectAnomalies1_Unload(Fil.DetectAnomalies1ModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_DetectAnomalies1(Fil.Image, Fil.DetectAnomalies1ModelId, bool, float, Fil.Heatmap, bool, float, bool, float, float, Optional<Fil.Image>) |
Executes a Detect Anomalies 1 model on a single input image.
|
| DL_DetectAnomalies2_AccessDeepModel(string, Fil.Size, float, float) |
Returns thresholds and accepted image size for trained model.
|
| DL_DetectAnomalies2_Deploy(string, Optional<Fil.DeviceKind>, int, Fil.DetectAnomalies2ModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_DetectAnomalies2_Unload(Fil.DetectAnomalies2ModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_DetectAnomalies2_WithThresholds(Fil.Image, Fil.DetectAnomalies2ModelId, float, Optional<float>, float, Fil.Heatmap, bool, float, bool, Conditional<Fil.Region>) |
Executes a Detect Anomalies 2 model on a single input image.
|
| DL_DetectAnomalies2(Fil.Image, Fil.DetectAnomalies2ModelId, float, Fil.Heatmap, bool, float, bool, float, float, Conditional<Fil.Region>) |
Executes a Detect Anomalies 2 model on a single input image.
|
| DL_DetectFeatures_Deploy(string, Optional<Fil.DeviceKind>, int, Optional<Fil.Size>, Fil.DetectFeaturesModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_DetectFeatures_Unload(Fil.DetectFeaturesModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_DetectFeatures(Fil.Image, Optional<Fil.Region>, Fil.DetectFeaturesModelId, bool, List<Fil.Heatmap>, Optional<Fil.Heatmap>, Optional<Fil.Heatmap>, Optional<Fil.Heatmap>, Optional<Fil.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<Fil.CudaDevice>) |
Lists all available CUDA devices
|
| DL_LocateObjects_Deploy(string, Optional<Fil.DeviceKind>, int, Optional<Fil.Size>, Fil.LocateObjectsModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_LocateObjects_Unload(Fil.LocateObjectsModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_LocateObjects(Fil.Image, Optional<Fil.Region>, Fil.LocateObjectsModelId, float, List<Fil.ClassifiedRectangle>) |
Performs locating objects using a pretrained deep learning model.
|
| DL_LocatePoints_Deploy(string, Optional<Fil.DeviceKind>, int, Optional<Fil.Size>, Fil.LocatePointsModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_LocatePoints_Unload(Fil.LocatePointsModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_LocatePoints(Fil.Image, Optional<Fil.Region>, Fil.LocatePointsModelId, float, Optional<float>, bool, List<Fil.Location>, List<int>, List<string>, List<float>) |
Executes a Locate Points model on a single input image.
|
| DL_LocateText_Deploy(Optional<string>, Fil.LocateTextPretrainedModel, Optional<Fil.DeviceKind>, int, Optional<Fil.LocateTextDeployHint>, Fil.LocateTextModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_LocateText_Unload(Fil.LocateTextModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_LocateText(Fil.Image, Optional<Fil.Rectangle2D>, Optional<Fil.CoordinateSystem2D>, Fil.LocateTextModelId, int, float, int, int, int, int, Fil.Heatmap, List<Fil.Region>, List<Fil.LocateTextResult>, Optional<Fil.Rectangle2D>) |
Performs text detection using a pre-trained deep learning model.
|
| DL_ReadCharacters_Deploy(Optional<string>, Fil.OcrPretrainedModel, Optional<Fil.DeviceKind>, int, Optional<Fil.OcrDeployHint>, Fil.ReadCharactersModelId) |
Loads a deep learning model and prepares its execution on a specific target
device.
|
| DL_ReadCharacters_Quantized_Deploy(Optional<string>, Fil.OcrPretrainedModelQuantized, Optional<Fil.DeviceKind>, int, Optional<Fil.OcrDeployHint>, Fil.ReadCharactersModelId) | |
| DL_ReadCharacters_Unload(Fil.ReadCharactersModelId, bool) |
Unloads a deep learning model and frees allocated memory.
|
| DL_ReadCharacters(Fil.Image, Optional<Fil.Rectangle2D>, Optional<Fil.CoordinateSystem2D>, Fil.ReadCharactersModelId, int, float, float, Optional<string>, float, Fil.Polarity, float, bool, bool, List<Fil.OcrResult>, List<List<Fil.OcrCandidate>>, List<Fil.Region>, Optional<Fil.Rectangle2D>, Diagnostic<Fil.Image>) |
Performs optical character recognition using a pretrained deep learning model.
|
| DL_SegmentInstances_Deploy_Deprecated(string, Optional<Fil.DeviceKind>, int, Optional<int>, Fil.SegmentInstancesModelId) | |
| DL_SegmentInstances_Deprecated(Fil.Image, Optional<Fil.Region>, Fil.SegmentInstancesModelId, Optional<float>, Optional<int>, List<Fil.Box>, List<int>, List<string>, List<float>, List<Fil.Region>) | |
| DL_SegmentInstances_Unload_Deprecated(Fil.SegmentInstancesModelId, bool) | |
| Equals(object) | Inherited from System.Object |
| GetHashCode() | Inherited from System.Object |
| GetType() | Inherited from System.Object |
| ToString() | Inherited from System.Object |
