vpc_gaussian_blur

Applicability

Product	Supported
Atlas 350 Accelerator Card	√
Atlas A3 training product/Atlas A3 inference product	√
Atlas A2 training product/Atlas A2 inference product	√
Atlas training product	x
Atlas inference product	x
Atlas 200I/500 A2 inference product	√

Description

Performs Gaussian filtering on the input image.

Prototype

C Prototype

hi_s32 hi_mpi_vpc_gaussian_blur(hi_vpc_chn chn, const hi_gaussian_blur_param* gaussian_blur_param, hi_u32 *task_id, hi_s32 milli_sec)

Python Function

task_id, ret = acl.himpi.vpc_gaussian_blur(chn, gaussian_blur_param, milli_sec)

Parameters

Parameter	Description
chn	Int, channel ID for image processing.
gaussian_blur_param	Dict, Gaussian filtering information dictionary. For details, see hi_gaussian_blur_param.
milli_sec	Int, timeout interval, in milliseconds.

Return Value

Return Value	Description
task_id	Int, task ID, used to identify a task.
ret	Int, error code. 0 indicates success. Other values indicate failure. For details, see VPC Return Codes.

Restrictions

Version	Restrictions
Atlas 200I/500 A2 inference product	The resolution of the input and output images ranges from 10 x 6 to 4096 x 8192. The resolution of the input image is the same as that of the output image. The following input image formats are supported (the output image format is the same as the input image format): HI_PIXEL_FORMAT_YUV_400 = 0, // YUV400 8bit HI_PIXEL_FORMAT_YUV_SEMIPLANAR_420 = 1, // YUV420SP NV12 8bit HI_PIXEL_FORMAT_YVU_SEMIPLANAR_420 = 2, // YUV420SP NV21 8bit HI_PIXEL_FORMAT_YUV_SEMIPLANAR_422 = 3, // YUV422SP 8bit HI_PIXEL_FORMAT_YVU_SEMIPLANAR_422 = 4, // YVU422SP 8bit HI_PIXEL_FORMAT_YUYV_PACKED_422 = 7, // YUV422Packed YUYV 8bit HI_PIXEL_FORMAT_YVYU_PACKED_422 = 9, // YUV422Packed YVYU 8bit HI_PIXEL_FORMAT_YUV_PACKED_444 = 11, // YUV444 Package 8bit HI_PIXEL_FORMAT_RGB_888 = 12, // RGB888 HI_PIXEL_FORMAT_BGR_888 = 13, // BGR888 HI_PIXEL_FORMAT_YVU_PACKED_444 = 58, // YVU444 Package 8bit HI_PIXEL_FORMAT_RGB_888_PLANAR = 69, // RGB888 Planar HI_PIXEL_FORMAT_BGR_888_PLANAR = 70, // BGR888 Planar The implementation principle is the same as that of OpenCV. The floating-to-fixed number conversion is different, and the accuracy cannot be exactly same. Due to restrictions on downsampling of YUV images, when the output image format is YUV420SP or YUV422SP, you are advised to set the border making type to border replication mode, to avoid abnormal data on the output image edge.
Atlas 350 Accelerator Card Atlas A2 training product/Atlas A2 inference product Atlas A3 training product/Atlas A3 inference product	The resolution of the input and output images ranges from 10 x 6 to 4096 x 8192. The resolution of the input image is the same as that of the output image. The following input image formats are supported (the output image format is the same as the input image format): HI_PIXEL_FORMAT_YUV_400 = 0, // YUV400 8bit HI_PIXEL_FORMAT_YUV_SEMIPLANAR_420 = 1, // YUV420SP NV12 8bit HI_PIXEL_FORMAT_YVU_SEMIPLANAR_420 = 2, // YUV420SP NV21 8bit HI_PIXEL_FORMAT_YUV_SEMIPLANAR_422 = 3, // YUV422SP 8bit HI_PIXEL_FORMAT_YVU_SEMIPLANAR_422 = 4, // YVU422SP 8bit HI_PIXEL_FORMAT_YUYV_PACKED_422 = 7, // YUV422Packed YUYV 8bit HI_PIXEL_FORMAT_YVYU_PACKED_422 = 9, // YUV422Packed YVYU 8bit HI_PIXEL_FORMAT_YUV_PACKED_444 = 11, // YUV444 Package 8bit HI_PIXEL_FORMAT_RGB_888 = 12, // RGB888 HI_PIXEL_FORMAT_BGR_888 = 13, // BGR888 HI_PIXEL_FORMAT_YVU_PACKED_444 = 58, // YVU444 Package 8bit HI_PIXEL_FORMAT_RGB_888_PLANAR = 69, // RGB888 Planar HI_PIXEL_FORMAT_BGR_888_PLANAR = 70, // BGR888 Planar HI_PIXEL_FORMAT_YUV400_FP32 = 138, // YUV400 Package. Each pixel is represented by a float32 number. HI_PIXEL_FORMAT_RGB_888_PLANAR_FP32 = 1006,// RGB888 Planar. Each pixel is represented by a float32 number. HI_PIXEL_FORMAT_BGR_888_PLANAR_FP32 = 1007,// BGR888 Planar. Each pixel is represented by a float32 number. HI_PIXEL_FORMAT_RGB_888_FP32 = 1012, // RGB888 Package. Each pixel is represented by a float32 number. HI_PIXEL_FORMAT_BGR_888_FP32 = 1013, // BGR888 Package. Each pixel is represented by a float32 number. Due to restrictions on downsampling of YUV images, when the output image format is YUV420SP or YUV422SP, you are advised to set the border making type to border replication mode, to avoid abnormal data on the output image edge.

Version

Restrictions

Atlas 200I/500 A2 inference product

The resolution of the input and output images ranges from 10 x 6 to 4096 x 8192. The resolution of the input image is the same as that of the output image.

The following input image formats are supported (the output image format is the same as the input image format):

HI_PIXEL_FORMAT_YUV_400 = 0,               // YUV400 8bit
HI_PIXEL_FORMAT_YUV_SEMIPLANAR_420 = 1,    // YUV420SP NV12 8bit   
HI_PIXEL_FORMAT_YVU_SEMIPLANAR_420 = 2,    // YUV420SP NV21 8bit 
HI_PIXEL_FORMAT_YUV_SEMIPLANAR_422 = 3,    // YUV422SP 8bit
HI_PIXEL_FORMAT_YVU_SEMIPLANAR_422 = 4,    // YVU422SP 8bit
HI_PIXEL_FORMAT_YUYV_PACKED_422 = 7,       // YUV422Packed YUYV 8bit
HI_PIXEL_FORMAT_YVYU_PACKED_422 = 9,       // YUV422Packed YVYU 8bit
HI_PIXEL_FORMAT_YUV_PACKED_444 = 11,      // YUV444 Package  8bit
HI_PIXEL_FORMAT_RGB_888 = 12,             // RGB888
HI_PIXEL_FORMAT_BGR_888 = 13,             // BGR888
HI_PIXEL_FORMAT_YVU_PACKED_444 = 58,       // YVU444 Package 8bit
HI_PIXEL_FORMAT_RGB_888_PLANAR = 69,       // RGB888 Planar
HI_PIXEL_FORMAT_BGR_888_PLANAR = 70,       // BGR888 Planar

The implementation principle is the same as that of OpenCV. The floating-to-fixed number conversion is different, and the accuracy cannot be exactly same.
Due to restrictions on downsampling of YUV images, when the output image format is YUV420SP or YUV422SP, you are advised to set the border making type to border replication mode, to avoid abnormal data on the output image edge.

Atlas 350 Accelerator Card

Atlas A2 training product/Atlas A2 inference product

Atlas A3 training product/Atlas A3 inference product

The resolution of the input and output images ranges from 10 x 6 to 4096 x 8192. The resolution of the input image is the same as that of the output image.

The following input image formats are supported (the output image format is the same as the input image format):

HI_PIXEL_FORMAT_YUV_400 = 0,               // YUV400 8bit
HI_PIXEL_FORMAT_YUV_SEMIPLANAR_420 = 1,    // YUV420SP NV12 8bit   
HI_PIXEL_FORMAT_YVU_SEMIPLANAR_420 = 2,    // YUV420SP NV21 8bit 
HI_PIXEL_FORMAT_YUV_SEMIPLANAR_422 = 3,    // YUV422SP 8bit
HI_PIXEL_FORMAT_YVU_SEMIPLANAR_422 = 4,    // YVU422SP 8bit
HI_PIXEL_FORMAT_YUYV_PACKED_422 = 7,       // YUV422Packed YUYV 8bit
HI_PIXEL_FORMAT_YVYU_PACKED_422 = 9,       // YUV422Packed YVYU 8bit
HI_PIXEL_FORMAT_YUV_PACKED_444 = 11,      // YUV444 Package  8bit
HI_PIXEL_FORMAT_RGB_888 = 12,             // RGB888
HI_PIXEL_FORMAT_BGR_888 = 13,             // BGR888
HI_PIXEL_FORMAT_YVU_PACKED_444 = 58,       // YVU444 Package 8bit
HI_PIXEL_FORMAT_RGB_888_PLANAR = 69,       // RGB888 Planar
HI_PIXEL_FORMAT_BGR_888_PLANAR = 70,       // BGR888 Planar
HI_PIXEL_FORMAT_YUV400_FP32 = 138,         // YUV400 Package. Each pixel is represented by a float32 number.
HI_PIXEL_FORMAT_RGB_888_PLANAR_FP32 = 1006,// RGB888 Planar. Each pixel is represented by a float32 number.
HI_PIXEL_FORMAT_BGR_888_PLANAR_FP32 = 1007,// BGR888 Planar. Each pixel is represented by a float32 number.
HI_PIXEL_FORMAT_RGB_888_FP32 = 1012,       // RGB888 Package. Each pixel is represented by a float32 number.
HI_PIXEL_FORMAT_BGR_888_FP32 = 1013,       // BGR888 Package. Each pixel is represented by a float32 number.

Due to restrictions on downsampling of YUV images, when the output image format is YUV420SP or YUV422SP, you are advised to set the border making type to border replication mode, to avoid abnormal data on the output image edge.

Parent topic: VPC APIs