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| | Jetson Inference
DNN Vision Library |
Normalization Utilities Library (jetson-utils) » CUDA
Normalize the pixel intensities of an image between two ranges. More...
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| cudaError_t | cudaNormalize (float *input, const float2 &input_range, float *output, const float2 &output_range, size_t width, size_t height) |
| | Normalize the pixel intensities of a floating-point grayscale image between two scales. More...
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| cudaError_t | cudaNormalize (float3 *input, const float2 &input_range, float3 *output, const float2 &output_range, size_t width, size_t height) |
| | Normalize the pixel intensities of a float3 RGB/BGR image between two scales. More...
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| cudaError_t | cudaNormalize (float4 *input, const float2 &input_range, float4 *output, const float2 &output_range, size_t width, size_t height) |
| | Normalize the pixel intensities of a float4 RGBA/BGRA image between two scales. More...
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| cudaError_t | cudaNormalize (void *input, const float2 &input_range, void *output, const float2 &output_range, size_t width, size_t height, imageFormat format) |
| | Normalize the pixel intensities of an image between two scales. More...
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Normalize the pixel intensities of an image between two ranges.
| cudaError_t cudaNormalize | ( | float * | input, | | | | const float2 & | input_range, | | | | float * | output, | | | | const float2 & | output_range, | | | | size_t | width, | | | | size_t | height | | | ) | | |
Normalize the pixel intensities of a floating-point grayscale image between two scales.
For example, convert an image with values between [0,1] to [0,255]
Parameters
| input_range | the range of pixel values of the input image (e.g. [0,1]) |
| output_range | the desired range of pixel values of the output image (e.g. [0,255]) |
| cudaError_t cudaNormalize | ( | float3 * | input, | | | | const float2 & | input_range, | | | | float3 * | output, | | | | const float2 & | output_range, | | | | size_t | width, | | | | size_t | height | | | ) | | |
Normalize the pixel intensities of a float3 RGB/BGR image between two scales.
For example, convert an image with values between [0,1] to [0,255]
Parameters
| input_range | the range of pixel values of the input image (e.g. [0,1]) |
| output_range | the desired range of pixel values of the output image (e.g. [0,255]) |
| cudaError_t cudaNormalize | ( | float4 * | input, | | | | const float2 & | input_range, | | | | float4 * | output, | | | | const float2 & | output_range, | | | | size_t | width, | | | | size_t | height | | | ) | | |
Normalize the pixel intensities of a float4 RGBA/BGRA image between two scales.
For example, convert an image with values between [0,1] to [0,255]
Parameters
| input_range | the range of pixel values of the input image (e.g. [0,1]) |
| output_range | the desired range of pixel values of the output image (e.g. [0,255]) |
| cudaError_t cudaNormalize | ( | void * | input, | | | | const float2 & | input_range, | | | | void * | output, | | | | const float2 & | output_range, | | | | size_t | width, | | | | size_t | height, | | | | imageFormat | format | | | ) | | |
Normalize the pixel intensities of an image between two scales.
For example, convert an image with values between [0,1] to [0,255]
Parameters
| input_range | the range of pixel values of the input image (e.g. [0,1]) |
| output_range | the desired range of pixel values of the output image (e.g. [0,255]) |
| format | the image format - valid formats are gray32f, rgb32f/bgr32f, and rgba32f/bgra32f. |