hi_transform_config

Description

Defines the affine transformation, perspective transformation, or remapping configuration.

Prototype

hi_transform_config = {"interpolation": interpolation,
                       "border_type": hi_vpc_bord_type,
                       "scalar_value": hi_vpc_scalar}

Members

Member	Description
interpolation	Int. The following resizing algorithms are supported: Atlas 200I/500 A2 inference products support the following resizing algorithms: 0: the conventional bilinear algorithm 1: the conventional nearest neighbor algorithm. Atlas A2 training products/Atlas A2 inference products support the following resizing algorithms: 0: the conventional bilinear algorithm 1: the conventional nearest neighbor algorithm. Atlas A3 training products/Atlas A3 inference products support the following resizing algorithms: 0: the conventional bilinear algorithm 1: the conventional nearest neighbor algorithm
border_type	Int, border making type. Atlas 200I/500 A2 inference products support the following values: 0: fixed value of the register. 1: border replication mode. Atlas A2 training products/Atlas A2 inference products support the following values: 0: fixed value of the register. 1: border replication mode. Atlas A3 training products/Atlas A3 inference products support the following values: 0: fixed value of the register. 1: border replication mode.
scalar_value	Dictionary, pixel value for image padding. Only three channels are supported. For Atlas 200I/500 A2 inference products: If the input image format is YUV400, val[0] stores the Y component. val[1], val[2], and val[3] are reserved and need to be initialized to 0. For Atlas A2 training products/Atlas A2 inference products: If the input image format is YUV400, val[0] stores the Y component. val[1], val[2], and val[3] are reserved and need to be initialized to 0. For Atlas A3 training products/Atlas A3 inference products: If the input image format is YUV400, val[0] stores the Y component. val[1], val[2], and val[3] are reserved and need to be initialized to 0.

Member

Description

interpolation

Int. The following resizing algorithms are supported:

Atlas 200I/500 A2 inference products support the following resizing algorithms:

0: the conventional bilinear algorithm
1: the conventional nearest neighbor algorithm.

Atlas A2 training products/Atlas A2 inference products support the following resizing algorithms:

0: the conventional bilinear algorithm
1: the conventional nearest neighbor algorithm.

Atlas A3 training products/Atlas A3 inference products support the following resizing algorithms:

0: the conventional bilinear algorithm
1: the conventional nearest neighbor algorithm

border_type

Int, border making type.

Atlas 200I/500 A2 inference products support the following values:

0: fixed value of the register.
1: border replication mode.

Atlas A2 training products/Atlas A2 inference products support the following values:

0: fixed value of the register.
1: border replication mode.

Atlas A3 training products/Atlas A3 inference products support the following values:

0: fixed value of the register.
1: border replication mode.

scalar_value

Dictionary, pixel value for image padding. Only three channels are supported.

For Atlas 200I/500 A2 inference products: If the input image format is YUV400, val[0] stores the Y component. val[1], val[2], and val[3] are reserved and need to be initialized to 0.

For Atlas A2 training products/Atlas A2 inference products: If the input image format is YUV400, val[0] stores the Y component. val[1], val[2], and val[3] are reserved and need to be initialized to 0.

For Atlas A3 training products/Atlas A3 inference products: If the input image format is YUV400, val[0] stores the Y component. val[1], val[2], and val[3] are reserved and need to be initialized to 0.

Parent topic: Image Processing