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FFY-U3-16S2C-DL

 

Inference Preprocessing

Summary Table

Name Interface Access Visibility Description
Training Pixel Format IEnumeration RW Beginner The bit depth and number of input channels of the images used during training of the network that is on the camera. This is used when doing image normalization of the captured images before performing inference.
Network Input Channel IEnumeration RW Beginner Input channel of loaded network.
Training Mean IFloat RW Beginner Mean value of the data used during network training. This is used when doing image normalization of the captured images before performing inference. If the selected network type has only one input channel then the channel 1 mean is used.
Training Scale IFloat RW Beginner Standard deviation of the data used during network training. This is used when doing image normalization of the captured images before performing inference. If the selected network type has only one input channel then the channel 1 mean is used.

Inference Preprocessing Features


Training Pixel Format

The bit depth and number of input channels of the images used during training of the network that is on the camera. This is used when doing image normalization of the captured images before performing inference.

Property Value
Name InferencePreprocessBppSelector
Interface IEnumeration
Access RW
Visibility Beginner

Enumeration Values
Mono8
RGB8
BGR8

Network Input Channel

Input channel of loaded network.

Property Value
Name InferencePreprocessChannelSelector
Interface IEnumeration
Access RW
Visibility Beginner

Enumeration Values
Channel1
Channel2
Channel3

Training Mean

Mean value of the data used during network training. This is used when doing image normalization of the captured images before performing inference. If the selected network type has only one input channel then the channel 1 mean is used.

Property Value
Name InferencePreprocessChannelMean
Interface IFloat
Access RW
Unit
Visibility Beginner

Training Scale

Standard deviation of the data used during network training. This is used when doing image normalization of the captured images before performing inference. If the selected network type has only one input channel then the channel 1 mean is used.

Property Value
Name InferencePreprocessChannelScalar
Interface IFloat
Access RW
Unit
Visibility Beginner

 

5/8/2020
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