General¶
Before you can call the SDK functions, you must first initialize the SDK with your desired configuration options. These configuration options will ultimately impact the behaviour of the SDK, so be sure to read through what each one does carefully.
Once you have initialized the SDK, then proceed to the the License section.
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Trueface::SDK::SDK()¶
Initialize the SDK using default ConfigurationOptions.
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Trueface::SDK::SDK(const ConfigurationOptions &options)¶
Initialize the SDK using custom ConfigurationOptions.
- Parameters
options – custom configuration options.
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static std::string Trueface::SDK::getVersion()¶
Gets the version-build number of the SDK.
- Returns
Version Number as a string.
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enum Trueface::FacialRecognitionModel¶
Facial recognition models. To compare model performances, refer to our ROC curves. You can also find more information on our FAQ page. The current most accurate model is TFV5.
Values:
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enumerator LITE¶
Lightweight model with faster inference time but reduced accuracy, ideal for embedded systems or lightweight CPU only deployments, prototyping, and some 1 to 1 matching use cases.
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enumerator FULL¶
Full TFV4 model which has better accuracy than the LITE model, but also has greater inference time. Ideal for GPU deployments and for 1 to N use cases. Note, TFV4 has now been deprecated and replaced by TFV5 which has better performance. Despite this, we will continue providing support for TFV4 for clients with existing collections.
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enumerator TFV5¶
TFV5 is currently the highest accuracy model. Ideal for GPU deployments and for 1 to N use cases.
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enumerator LITE¶
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enum Trueface::ObjectDetectionModel¶
Object detection models
Values:
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enumerator ACCURATE¶
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enumerator FAST¶
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enumerator ACCURATE¶
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enum Trueface::FaceDetectionFilter¶
Filters the detected faces based on score thresholds obtained from ROC curve.
Values:
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enumerator HIGH_RECALL¶
Filter the detected faces based on a low score threshold. Limits false negatives (does not detect a face), but may have more false positives (classifies a non-face as a face).
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enumerator HIGH_PRECISION¶
Filter the detected faces based on a high score threshold. Limits false positives (classifies a non-face as a face), but may have more false negatives (does not detect a face).
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enumerator BALANCED¶
Filter the detected faces based on a medium score threshold to balance false positives and false negatives. We advise using this option most of the time.
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enumerator UNFILTERED¶
Do not filter the detected faces by score. Will have a large number of false positives (classifies a non-face as a face).
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enumerator HIGH_RECALL¶
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enum Trueface::DatabaseManagementSystem¶
Database Management System for storing Faceprints
Values:
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enumerator SQLITE¶
Use sqlite backend. Write Faceprints to local disk. Ideal for embedded systems or use cases where only one process connects to the database.
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enumerator POSTGRESQL¶
Use a PostgreSQL backend. Ideal for distributed systems requiring synchronization. Not available in Windows SDK.
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enumerator NONE¶
Do not write Faceprints to disk, only store in ram. Warning, enrolled Faceprints will not be saved after the program terminates. Switching to a new collections will also delete all enrolled templates.
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enumerator SQLITE¶
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struct Trueface::EnableGPU¶
Enable GPU support (default is false). Note, GPU support requires a different version of the SDK. You are able to enable GPU for all modules or only specific modules.
Public Functions
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inline EnableGPU(bool val)¶
Enable or disable GPU inference for all modules
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inline EnableGPU(bool val)¶
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inline Trueface::EnableGPU::EnableGPU(bool val)
Enable or disable GPU inference for all modules
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struct Trueface::ConfigurationOptions¶
SDK configuration options
Public Members
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FacialRecognitionModel frModel = FacialRecognitionModel::TFV5¶
The model to be used for facial recognition (default is TFV5)
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ObjectDetectionModel objModel = ObjectDetectionModel::ACCURATE¶
The model to be used for object detection (default is ACCURATE model)
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int smallestFaceHeight = 40¶
The smallest face height that the face detector can detect. (default is 40 pixels, min value is 16 pixels). The face detector has a detection scale range of about 5 octaves. Ex. 40 pixels yields the detection scale range of ~40 pixels to 1280 (=40x2^5) pixels. If set to -1, will dynamically adjusts the face detection scale range from image-height/32 to image-height to ensure that large faces are detected in high resolution images. Increasing the
Trueface::ConfigurationOptions.smallestFaceHeight
will result in faster face detection.
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FaceDetectionFilter fdFilter = FaceDetectionFilter::BALANCED¶
The face detection mode (default is VERSATILE). This configuration option is now deprecated and may be removed in future releases.
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DatabaseManagementSystem dbms = DatabaseManagementSystem::SQLITE¶
Database management system for storing Faceprints (default is SQLITE)
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std::string modelsPath = "./"¶
The directory path containing the model files
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bool frVectorCompression = false¶
Improves the computation speed for 1 to 1 comparisons and 1 to N searches by compressing the feature vector and enabling additional optimizations.
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EnableGPU enableGPU = {}¶
Enable GPU support (default is false). Note, GPU support requires a different version of the SDK. You are able to enable GPU for all modules or only specific modules.
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unsigned int deviceIndex = 0¶
GPU device index
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FacialRecognitionModel frModel = FacialRecognitionModel::TFV5¶
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enum Trueface::ErrorCode¶
Error codes returned by methods
Values:
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enumerator NO_ERROR¶
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enumerator INVALID_LICENSE¶
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enumerator FILE_READ_FAIL¶
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enumerator UNSUPPORTED_IMAGE_FORMAT¶
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enumerator UNSUPPORTED_MODEL¶
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enumerator NO_FACE_IN_FRAME¶
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enumerator FAILED¶
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enumerator COLLECTION_CREATION_ERROR¶
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enumerator DATABASE_CONNECTION_ERROR¶
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enumerator ENROLLMENT_ERROR¶
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enumerator MAX_COLLECTION_SIZE_EXCEEDED¶
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enumerator NO_RECORD_FOUND¶
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enumerator NO_COLLECTION_FOUND¶
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enumerator COLLECTION_DELETION_ERROR¶
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enumerator NO_ERROR¶
Deprecated¶
The following have been deprecated and may be removed in future releases of the SDK.