Jetson Inference
DNN Vision Library
tensorConvert.h
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1 /*
2  * Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
3  *
4  * Permission is hereby granted, free of charge, to any person obtaining a
5  * copy of this software and associated documentation files (the "Software"),
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15  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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21  */
22 
23 #ifndef __CUDA_TENSOR_PREPROCESSING_H__
24 #define __CUDA_TENSOR_PREPROCESSING_H__
25 
26 
29 
30 
31 /*
32  * Downsample and apply mean pixel subtraction, NCHW format
33  */
34 cudaError_t cudaTensorMeanRGB( void* input, imageFormat format, size_t inputWidth, size_t inputHeight, float* output, size_t outputWidth, size_t outputHeight, const float3& mean_value, cudaStream_t stream );
35 cudaError_t cudaTensorMeanBGR( void* input, imageFormat format, size_t inputWidth, size_t inputHeight, float* output, size_t outputWidth, size_t outputHeight, const float3& mean_value, cudaStream_t stream );
36 
37 /*
38  * Downsample and apply pixel normalization, NCHW format
39  */
40 cudaError_t cudaTensorNormRGB( void* input, imageFormat format, size_t inputWidth, size_t inputHeight, float* output, size_t outputWidth, size_t outputHeight, const float2& range, cudaStream_t stream );
41 cudaError_t cudaTensorNormBGR( void* input, imageFormat format, size_t inputWidth, size_t inputHeight, float* output, size_t outputWidth, size_t outputHeight, const float2& range, cudaStream_t stream );
42 
43 /*
44  * Downsample and apply pixel normalization, mean pixel subtraction and standard deviation, NCHW format
45  */
46 cudaError_t cudaTensorNormMeanRGB( void* input, imageFormat format, size_t inputWidth, size_t inputHeight, float* output, size_t outputWidth, size_t outputHeight, const float2& range, const float3& mean, const float3& stdDev, cudaStream_t stream, size_t channelStride=0 );
47 cudaError_t cudaTensorNormMeanBGR( void* input, imageFormat format, size_t inputWidth, size_t inputHeight, float* output, size_t outputWidth, size_t outputHeight, const float2& range, const float3& mean, const float3& stdDev, cudaStream_t stream, size_t channelStride=0 );
48 
49 
50 #endif
51 
cudaUtility.h
cudaTensorNormMeanRGB
cudaError_t cudaTensorNormMeanRGB(void *input, imageFormat format, size_t inputWidth, size_t inputHeight, float *output, size_t outputWidth, size_t outputHeight, const float2 &range, const float3 &mean, const float3 &stdDev, cudaStream_t stream, size_t channelStride=0)
cudaTensorNormRGB
cudaError_t cudaTensorNormRGB(void *input, imageFormat format, size_t inputWidth, size_t inputHeight, float *output, size_t outputWidth, size_t outputHeight, const float2 &range, cudaStream_t stream)
cudaTensorNormMeanBGR
cudaError_t cudaTensorNormMeanBGR(void *input, imageFormat format, size_t inputWidth, size_t inputHeight, float *output, size_t outputWidth, size_t outputHeight, const float2 &range, const float3 &mean, const float3 &stdDev, cudaStream_t stream, size_t channelStride=0)
cudaTensorMeanBGR
cudaError_t cudaTensorMeanBGR(void *input, imageFormat format, size_t inputWidth, size_t inputHeight, float *output, size_t outputWidth, size_t outputHeight, const float3 &mean_value, cudaStream_t stream)
cudaTensorNormBGR
cudaError_t cudaTensorNormBGR(void *input, imageFormat format, size_t inputWidth, size_t inputHeight, float *output, size_t outputWidth, size_t outputHeight, const float2 &range, cudaStream_t stream)
cudaTensorMeanRGB
cudaError_t cudaTensorMeanRGB(void *input, imageFormat format, size_t inputWidth, size_t inputHeight, float *output, size_t outputWidth, size_t outputHeight, const float3 &mean_value, cudaStream_t stream)
imageFormat.h
imageFormat
imageFormat
The imageFormat enum is used to identify the pixel format and colorspace of an image.
Definition: imageFormat.h:49