public class ClassificationModel extends Model
Modifier | Constructor and Description |
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protected |
ClassificationModel(long addr) |
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ClassificationModel(Net network)
Create model from deep learning network.
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ClassificationModel(String model)
Create classification model from network represented in one of the supported formats.
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ClassificationModel(String model,
String config)
Create classification model from network represented in one of the supported formats.
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Modifier and Type | Method and Description |
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static ClassificationModel |
__fromPtr__(long addr) |
void |
classify(Mat frame,
int[] classId,
float[] conf) |
protected void |
finalize() |
boolean |
getEnableSoftmaxPostProcessing()
Get enable/disable softmax post processing option.
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ClassificationModel |
setEnableSoftmaxPostProcessing(boolean enable)
Set enable/disable softmax post processing option.
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enableWinograd, getNativeObjAddr, predict, setInputCrop, setInputMean, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputScale, setInputSize, setInputSize, setInputSwapRB, setPreferableBackend, setPreferableTarget
protected ClassificationModel(long addr)
public ClassificationModel(String model, String config)
model
and config
arguments does not matter.model
- Binary file contains trained weights.config
- Text file contains network configuration.public ClassificationModel(String model)
model
and config
arguments does not matter.model
- Binary file contains trained weights.public ClassificationModel(Net network)
network
- Net object.public static ClassificationModel __fromPtr__(long addr)
public ClassificationModel setEnableSoftmaxPostProcessing(boolean enable)
enable
- Set enable softmax post processing within the classify() function.public boolean getEnableSoftmaxPostProcessing()
public void classify(Mat frame, int[] classId, float[] conf)
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