public class ClassificationModel extends Model
| Constructor and Description |
|---|
ClassificationModel(Net network)
Create model from deep learning network.
|
ClassificationModel(java.lang.String model)
Create classification model from network represented in one of the supported formats.
|
ClassificationModel(java.lang.String model,
java.lang.String config)
Create classification model from network represented in one of the supported formats.
|
| Modifier and Type | Method and Description |
|---|---|
static ClassificationModel |
__fromPtr__(long addr) |
void |
classify(Mat frame,
int[] classId,
float[] conf) |
predict, setInputCrop, setInputMean, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputParams, setInputScale, setInputSize, setInputSize, setInputSwapRBconnect, dump, dumpToFile, empty, enableFusion, forward, forward, forward, forward, forward, getFLOPS, getFLOPS, getFLOPS, getFLOPS, getLayer, getLayerId, getLayerNames, getLayersCount, getLayerTypes, getMemoryConsumption, getMemoryConsumption, getMemoryConsumption, getNativeObjAddr, getParam, getParam, getPerfProfile, getUnconnectedOutLayers, getUnconnectedOutLayersNames, readFromModelOptimizer, readFromModelOptimizer, setHalideScheduler, setInput, setInput, setInput, setInput, setInputShape, setInputsNames, setParam, setPreferableBackend, setPreferableTargetpublic ClassificationModel(Net network)
network - Net object.public ClassificationModel(java.lang.String model)
model and config arguments does not matter.model - Binary file contains trained weights.public ClassificationModel(java.lang.String model,
java.lang.String config)
model and config arguments does not matter.model - Binary file contains trained weights.config - Text file contains network configuration.public static ClassificationModel __fromPtr__(long addr)
public void classify(Mat frame, int[] classId, float[] conf)
Generated on 2020-04-03 16:05:20 / OpenCV 4.3.0