kp.v1 value (Legacy Module)

---

class kp.v1.GenericRawBypassPreProcImageHeader(model_id=0, inference_number=0, image_buffer_size=0)

Inference descriptor for images bypass pre-processing.

• Attributes

  • model_id : int, default=0

    int: Target inference model ID.
    

  • inference_number : int, default=0

    int: Inference sequence number.
    

  • image_buffer_size : int, default=0

    int: Inference image buffer size.
    

get_member_variable_dict()

Represent member variables with Dict format.

• Returns

  • ret : dict

    Represent member variables in Dict format.
    

• Return type

  dict

property image_buffer_size(: int)

int: Inference image buffer size.

• Return type

  int

property inference_number(: int)

int: Inference sequence number.

• Return type

  int

property model_id(: int)

int: Target inference model ID.

• Return type

  int

---

class kp.v1.GenericRawBypassPreProcResult(buffer_size)

Generic inference raw result for bypass pre-processing.

• Attributes

  • header : kp.GenericRawBypassPreProcResultHeader

    kp.GenericRawBypassPreProcResultHeader: Inference raw output descriptor for bypass pre-processing.
    

  • raw_result : kp.GenericRawResultNDArray

    kp.GenericRawResultNDArray: Inference raw result buffer.
    

get_member_variable_dict()

Represent member variables with Dict format.

• Returns

  • ret : dict

    Represent member variables in Dict format.
    

• Return type

  dict

property header(: kp.Legacy.V1.KPValue.GenericRawBypassPreProcResultHeader)

kp.GenericRawBypassPreProcResultHeader: Inference raw output descriptor for bypass pre-processing.

• Return type

  GenericRawBypassPreProcResultHeader

property raw_result(: kp.KPValue.GenericRawResultNDArray)

kp.GenericRawResultNDArray: Inference raw result buffer.

• Return type

  GenericRawResultNDArray

---

class kp.v1.GenericRawBypassPreProcResultHeader(inference_number=0, crop_number=0, num_output_node=0, product_id=0)

Inference raw output descriptor for bypass pre-processing.

• Attributes

  • inference_number : int, default=0

    int: Inference sequence number.
    

  • crop_number : int, default=0

    int: Crop box sequence number.
    

  • num_output_node : int, default=0

    int: Total number of output nodes.
    

  • product_id : int, default=0

    int: USB PID (Product ID).
    

property crop_number(: int)

int: Crop box sequence number.

• Return type

  int

get_member_variable_dict()

Represent member variables with Dict format.

• Returns

  • ret : dict

    Represent member variables in Dict format.
    

• Return type

  dict

property inference_number(: int)

int: Inference sequence number.

• Return type

  int

property num_output_node(: int)

int: Total number of output nodes.

• Return type

  int

property product_id(: int)

int: USB PID (Product ID).

• Return type

  int

---

class kp.v1.GenericRawImageHeader(model_id=0, resize_mode=ResizeMode.KP_RESIZE_ENABLE, padding_mode=PaddingMode.KP_PADDING_CORNER, normalize_mode=NormalizeMode.KP_NORMALIZE_KNERON, inference_number=0, inference_crop_box_list=[], width=0, height=0, image_format=ImageFormat.KP_IMAGE_FORMAT_RGB565)

Inference descriptor for images.

• Attributes

  • model_id : int, default=0

    int: Target inference model ID.
    

  • resize_mode : kp.ResizeMode, default=kp.ResizeMode.KP_RESIZE_ENABLE

    kp.ResizeMode: Preprocess resize mode, refer to ResizeMode.
    

  • padding_mode : kp.PaddingMode, default=kp.PaddingMode.KP_PADDING_CORNER

    kp.PaddingMode: Preprocess padding mode, none or auto refer to PaddingMode.
    

  • normalize_mode : kp.NormalizeMode, default=kp.NormalizeMode.KP_NORMALIZE_KNERON

    kp.NormalizeMode: Inference normalization, refer to NormalizeMode.
    

  • inference_number : int, default=0

    int: Inference sequence number.
    

  • inference_crop_box_list : List[kp.InferenceCropBox], default=[]

    List[kp.InferenceCropBox]: Box information to crop.
    

  • width : int, default=0

    int: Inference image width.
    

  • height : int, default=0

    int: Inference image height.
    

  • image_format : kp.ImageFormat, default=kp.ImageFormat.KP_IMAGE_FORMAT_RGB565

    kp.ImageFormat: Inference image format, refer to ImageFormat.
    

property crop_count(: int)

int: Number of crop box.

• Return type

  int

get_member_variable_dict()

Represent member variables with Dict format.

• Returns

  • ret : dict

    Represent member variables in Dict format.
    

• Return type

  dict

property height(: int)

int: Inference image height.

• Return type

  int

property image_format(: kp.KPEnum.ImageFormat)

kp.ImageFormat: Inference image format, refer to ImageFormat.

• Return type

  ImageFormat

property inference_crop_box_list(: List[kp.KPValue.InferenceCropBox])

List[kp.InferenceCropBox]: Box information to crop.

• Return type

  List[InferenceCropBox]

property inference_number(: int)

int: Inference sequence number.

• Return type

  int

property model_id(: int)

int: Target inference model ID.

• Return type

  int

property normalize_mode(: kp.KPEnum.NormalizeMode)

kp.NormalizeMode: Inference normalization, refer to NormalizeMode.

• Return type

  NormalizeMode

property padding_mode(: kp.KPEnum.PaddingMode)

kp.PaddingMode: Preprocess padding mode, none or auto refer to PaddingMode.

• Return type

  PaddingMode

property resize_mode(: kp.KPEnum.ResizeMode)

kp.ResizeMode: Preprocess resize mode, refer to ResizeMode.

• Return type

  ResizeMode

property width(: int)

int: Inference image width.

• Return type

  int

---

class kp.v1.GenericRawResult(buffer_size)

Generic inference raw result.

• Attributes

  • header : kp.GenericRawResultHeader

    kp.GenericRawResultHeader: Inference raw output descriptor.
    

  • raw_result : kp.GenericRawResultNDArray

    kp.GenericRawResultNDArray: Inference raw result buffer.
    

get_member_variable_dict()

Represent member variables with Dict format.

• Returns

  • ret : dict

    Represent member variables in Dict format.
    

• Return type

  dict

property header(: kp.Legacy.V1.KPValue.GenericRawResultHeader)

kp.GenericRawResultHeader: Inference raw output descriptor.

• Return type

  GenericRawResultHeader

property raw_result(: kp.KPValue.GenericRawResultNDArray)

kp.GenericRawResultNDArray: Inference raw result buffer.

• Return type

  GenericRawResultNDArray

---

class kp.v1.GenericRawResultHeader(inference_number=0, crop_number=0, num_output_node=0, product_id=0, hw_pre_proc_info={'img_width': 0, 'img_height': 0, 'resized_img_width': 0, 'resized_img_heig ...)

Inference raw output descriptor.

• Attributes

  • inference_number : int, default=0

    int: Inference sequence number.
    

  • crop_number : int, default=0

    int: Crop box sequence number.
    

  • num_output_node : int, default=0

    int: Total number of output nodes.
    

  • product_id : int, default=0

    int: USB PID (Product ID).
    

  • hw_pre_proc_info : kp.HwPreProcInfo, default=kp.HwPreProcInfo()

    kp.HwPreProcInfo: Hardware preprocess info
    

property crop_number(: int)

int: Crop box sequence number.

• Return type

  int

get_member_variable_dict()

Represent member variables with Dict format.

• Returns

  • ret : dict

    Represent member variables in Dict format.
    

• Return type

  dict

property hw_pre_proc_info(: kp.KPValue.HwPreProcInfo)

kp.HwPreProcInfo: Hardware preprocess info

• Return type

  HwPreProcInfo

property inference_number(: int)

int: Inference sequence number.

• Return type

  int

property num_output_node(: int)

int: Total number of output nodes.

• Return type

  int

property product_id(: int)

int: USB PID (Product ID).

• Return type

  int