/home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-roccv/checkouts/latest/include/core/util_enums.h Source File

/home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-roccv/checkouts/latest/include/core/util_enums.h Source File#

3 min read time

Applies to Linux

rocCV: /home/docs/checkouts/readthedocs.org/user_builds/advanced-micro-devices-roccv/checkouts/latest/include/core/util_enums.h Source File

Go to the documentation of this file.

  
 #pragma once
  
 /* Supported Data Types for use with utilities such as Tensor inputs. */
 typedef enum eDataType {
     DATA_TYPE_U8 = 0, /* 8 bit unsigned integer. */
     DATA_TYPE_S8,     /* 8 bit signed integer. */
     DATA_TYPE_U16,    /* 16 bit unsigned integer. */
     DATA_TYPE_S16,    /* 16 bit signed integer. */
     DATA_TYPE_U32,    /* 32 bit unsigned integer. */
     DATA_TYPE_S32,    /* 32 bit signed integer. */
     DATA_TYPE_F32,    /* 32 bit single precision float */
     DATA_TYPE_F64,    /* 64 bit double precision float */
     DATA_TYPE_4S16,   /* 4-channel 16-bit signed integer*/
 } eDataType;
  
 /* Supported Tensor Layout Types. */
 typedef enum eTensorLayout {
     TENSOR_LAYOUT_NHWC,  /* Number of Samples, Height, Width, Channels. */
     TENSOR_LAYOUT_HWC,   /* Height, Width, Channels. */
     TENSOR_LAYOUT_NC,    /* Number of Samples, Channels */
     TENSOR_LAYOUT_NW,    /* Number of Samples, Width */
     TENSOR_LAYOUT_N,     /* Number of Samples */
     TENSOR_LAYOUT_NMC,   /* (SIFT) Number of Samples, maximum number of features,
                             number of feature coordinates/metadata */
     TENSOR_LAYOUT_NMD,   /* (SIFT) Number of Samples, maximum number of features,
                             Depth of each feature descriptor*/
     TENSOR_LAYOUT_LNHWC, /* (SIFT) Octave layer, Number of samples, Height,
                             Width, Channels */
     TENSOR_LAYOUT_NCHW,  /* Number of Samples, Channels, Height, Width */
     TENSOR_LAYOUT_NWC,   /* Number of Samples, Width, Channels */
 } eTensorLayout;
  
 typedef enum eChannelType {
     F_RGB = 1,
     BGR = 2,
     YUV = 4, /*Treated as NV12 for Semi-Planar images*/
     YVU = 8, /*Treated as NV21 for Semi-Planar images*/
     Grayscale = 16,
  
 } eChannelType;
  
 enum class eDeviceType { GPU = 0, CPU = 1 };
  
 enum class eOwnership { OWNING = 0, VIEW = 1 };