JeVoisBase
1.22
JeVois Smart Embedded Machine Vision Toolkit Base Modules
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Public Member Functions | |
__init__ (self, mean=None, std=None) | |
__call__ (self, img) | |
Public Attributes | |
mean | |
std | |
Definition at line 38 of file transform.py.
transform.Normalize.__init__ | ( | self, | |
mean = None , |
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std = None |
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) |
Definition at line 39 of file transform.py.
transform.Normalize.__call__ | ( | self, | |
img | |||
) |
Definition at line 43 of file transform.py.
References mobilenet_v1.MobileNetV1.mean, mobilenet_v2.MobileNetV2.mean, quantize-inc.Dataset.mean, transform.Normalize.mean, PyPreBlob.PyPreBlob.mean, PyClassificationDNN.PyClassificationDNN.mean, PyDetectionDNN.PyDetectionDNN.mean, PyEmotion.PyEmotion.mean, mobilenet_v1.MobileNetV1.std, mobilenet_v2.MobileNetV2.std, quantize-inc.Dataset.std, and transform.Normalize.std.
transform.Normalize.mean |
Definition at line 40 of file transform.py.
Referenced by transform.Normalize.__call__(), quantize-inc.Dataset.__getitem__(), mobilenet_v1.MobileNetV1._preprocess(), mobilenet_v2.MobileNetV2._preprocess(), PyPreBlob.PyPreBlob.process(), PyClassificationDNN.PyClassificationDNN.process(), and PyDetectionDNN.PyDetectionDNN.process().
transform.Normalize.std |
Definition at line 41 of file transform.py.
Referenced by transform.Normalize.__call__(), quantize-inc.Dataset.__getitem__(), mobilenet_v1.MobileNetV1._preprocess(), and mobilenet_v2.MobileNetV2._preprocess().