| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| Modifier and Type | Method and Description |
|---|---|
opencv_dnn.BlobVector |
opencv_dnn.Layer._allocate(opencv_dnn.BlobVector inputs)
\brief \overload
|
opencv_dnn.BlobVector |
opencv_dnn.LayerParams.blobs()
List of learned parameters stored as blobs.
|
opencv_dnn.BlobVector |
opencv_dnn.Layer.blobs()
List of learned parameters must be stored here to allow read them by using Net::getParam().
|
opencv_dnn.BlobVector |
opencv_dnn.BlobVector.put(long i,
opencv_dnn.Blob value) |
opencv_dnn.BlobVector |
opencv_dnn.BlobVector.put(opencv_dnn.Blob... array) |
opencv_dnn.BlobVector |
opencv_dnn.BlobVector.put(opencv_dnn.BlobVector x) |
| Modifier and Type | Method and Description |
|---|---|
void |
opencv_dnn.Layer._allocate(opencv_dnn.BlobPointerVector input,
opencv_dnn.BlobVector output)
\brief Allocates internal buffers and output blobs with respect to the shape of inputs.
|
opencv_dnn.BlobVector |
opencv_dnn.Layer._allocate(opencv_dnn.BlobVector inputs)
\brief \overload
|
void |
opencv_dnn.Layer._allocate(opencv_dnn.BlobVector inputs,
opencv_dnn.BlobVector outputs)
\brief \overload
|
opencv_dnn.LayerParams |
opencv_dnn.LayerParams.blobs(opencv_dnn.BlobVector blobs) |
opencv_dnn.Layer |
opencv_dnn.Layer.blobs(opencv_dnn.BlobVector blobs) |
void |
opencv_dnn.Layer.forward(opencv_dnn.BlobPointerVector input,
opencv_dnn.BlobVector output)
\brief Given the \p input blobs, computes the output \p blobs.
|
void |
opencv_dnn.Layer.forward(opencv_dnn.BlobVector inputs,
opencv_dnn.BlobVector outputs)
\brief \overload
|
opencv_dnn.BlobVector |
opencv_dnn.BlobVector.put(opencv_dnn.BlobVector x) |
void |
opencv_dnn.Layer.run(opencv_dnn.BlobVector inputs,
opencv_dnn.BlobVector outputs)
\brief Allocates layer and computes output.
|
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