PreProcessing::PreProcessor Class Reference

Pre-process the input image before passing to Inference::InferenceCore More...

#include <pre_processor.h>

Public Member Functions
	PreProcessor (size_t model_width, size_t model_height)
	Construct a new PreProcessor object. More...
PreProcessedImage	run (cv::Mat cv_image)
	Apply pre processing to the given input image. More...

Detailed Description

Pre-process the input image before passing to Inference::InferenceCore

This class contains some pre processing steps to allow an input image to be passed to the Inference::InferenceCore. The following operations are performed to process the raw data:

• Resize the image to fit the dimensions of the model being used
• Normalise the image pixels to the range [-1..1]

Constructor & Destructor Documentation

PreProcessor()

PreProcessing::PreProcessor::PreProcessor	(	size_t	model_width,
		size_t	model_height
	)

Construct a new PreProcessor object.

Parameters

model_width	Desired width of the resized image (should match Inference::InferenceCore::model_input_width)
model_height	Desired height of the resized image (should match Inference::InferenceCore::model_input_height)

Returns

The resized array of pixels of the input image

Member Function Documentation

run()

PreProcessedImage PreProcessing::PreProcessor::run

(

cv::Mat

cv_image

)

Apply pre processing to the given input image.

Parameters

cv_image

The OpenCV image to be preprocessed

Returns

PreProcessedImage after resizing and normalising

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The documentation for this class was generated from the following files:

• pre_processor.h
• pre_processor.cpp