Emgu.TF.Lite Namespace |
Wrapper of Tensorflow Lite functions.
Classes| Class | Description | |
|---|---|---|
 | BuildinOpResolver |
The default tensor flow lite buildin op resolver.
|
| DynamicBuffer |
DynamicBuffer holds temporary buffer that will be used to create a dynamic tensor.
|
| FlatBufferModel |
An RAII object that represents a read-only tflite model, copied from disk,
or mmapped. This uses flatbuffers as the serialization format.
|
| GpuDelegateV2 |
Gpu Delegate V2 for Android
|
| IntArray |
A tensorflow integer array
|
| Interpreter |
The tensorflow lite interpreter.
|
| StatefulNnApiDelegate |
Stateful NNAPI delegate
|
| Tensor |
A tensorflow lite tensor
|
| TfLiteInvoke |
Class that provide access to native tensorflow lite functions
|
| XNNPackDelegate |
XNNPackDelegate
|
Structures| Structure | Description | |
|---|---|---|
 | Complex64 |
Complex number
|
| QuantizationParams |
Parameters for asymmetric quantization.
|
Interfaces| Interface | Description | |
|---|---|---|
 | IDelegate |
Abstract interface that returns a pointer to the delegate
|
| IOpResolver |
Abstract interface that returns TfLiteRegistrations given op codes or custom
op names. This is the mechanism that ops being referenced in the flatbuffer
model are mapped to executable function pointers (TfLiteRegistrations)
|
Delegates| Delegate | Description | |
|---|---|---|
 | TfLiteInvokeTfLiteErrorCallback |
Define the functional interface for the error callback
|
Enumerations| Enumeration | Description | |
|---|---|---|
 | AllocationType |
Memory allocation strategies.
|
| DataType |
Types supported by tensor
|
| Status |
Tensorflow lite status
|