This class stores pre-process information for the input.
More...
#include <ie_preprocess.hpp>
This class stores pre-process information for the input.
§ getMeanVariant()
MeanVariant InferenceEngine::PreProcessInfo::getMeanVariant |
( |
|
) |
const |
|
inline |
Gets a type of mean operation.
- Returns
- The type of mean operation
§ getNumberOfChannels()
size_t InferenceEngine::PreProcessInfo::getNumberOfChannels |
( |
|
) |
const |
|
inline |
Returns a number of channels to preprocess.
- Returns
- The number of channels
§ getResizeAlgorithm()
ResizeAlgorithm InferenceEngine::PreProcessInfo::getResizeAlgorithm |
( |
|
) |
const |
|
inline |
Gets preconfigured resize algorithm.
- Returns
- Resize algorithm.
§ init()
void InferenceEngine::PreProcessInfo::init |
( |
const size_t |
numberOfChannels |
) |
|
|
inline |
Initializes with given number of channels.
- Parameters
-
numberOfChannels |
Number of channels to initialize |
§ operator[]() [1/2]
Overloaded [] operator to safely get the channel by an index. Throws an exception if channels are empty.
- Parameters
-
index |
Index of the channel to get |
- Returns
- The pre-process channel instance
§ operator[]() [2/2]
operator [] to safely get the channel preprocessing information by index. Throws exception if channels are empty or index is out of border
- Parameters
-
index |
Index of the channel to get |
- Returns
- The const preprocess channel instance
§ setMeanImage()
void InferenceEngine::PreProcessInfo::setMeanImage |
( |
const Blob::Ptr & |
meanImage |
) |
|
|
inline |
Sets mean image values if operation is applicable. Also sets the mean type to MEAN_IMAGE for all channels.
- Parameters
-
meanImage |
Blob with a mean image |
§ setMeanImageForChannel()
void InferenceEngine::PreProcessInfo::setMeanImageForChannel |
( |
const Blob::Ptr & |
meanImage, |
|
|
const size_t |
channel |
|
) |
|
|
|
inline |
Sets mean image values if operation is applicable. Also sets the mean type to MEAN_IMAGE for a particular channel.
- Parameters
-
meanImage |
Blob with a mean image |
channel |
Index of a particular channel |
§ setResizeAlgorithm()
void InferenceEngine::PreProcessInfo::setResizeAlgorithm |
( |
const ResizeAlgorithm & |
alg |
) |
|
|
inline |
Sets resize algorithm to be used during pre-processing.
- Parameters
-
§ setVariant()
void InferenceEngine::PreProcessInfo::setVariant |
( |
const MeanVariant & |
variant |
) |
|
|
inline |
Sets a type of mean operation.
- Parameters
-
variant |
Type of mean operation to set |
The documentation for this class was generated from the following file: