Compatible with Kneron PLUS 2

The Kneron PLUS 2 provides kp.v1 for temporary backward compatibility with V1.x APIs. The legacy code can be easily migrated to Kneron PLUS 2 by kp.v1 module.

For example, the V1.x basic include header can be rewritten like the following code block. (For more examples, please reference sample code in kneron_plus/python/example_legacy)

• V1.x

  ...
  
  """
  prepare app generic inference config
  """
  generic_raw_image_header = kp.GenericRawImageHeader(
      model_id=model_nef_descriptor.models[0].id,
      resize_mode=kp.ResizeMode.KP_RESIZE_ENABLE,
      padding_mode=kp.PaddingMode.KP_PADDING_CORNER,
      normalize_mode=kp.NormalizeMode.KP_NORMALIZE_KNERON,
      inference_number=0
  )
  
  """
  starting inference work
  """
  kp.inference.generic_raw_inference_send(device_group=device_group,
                                          generic_raw_image_header=generic_raw_image_header,
                                          image=img_bgr565,
                                          image_format=kp.ImageFormat.KP_IMAGE_FORMAT_RGB565)
  
  generic_raw_result = kp.inference.generic_raw_inference_receive(device_group=device_group,
                                                                  generic_raw_image_header=generic_raw_image_header,
                                                                  model_nef_descriptor=model_nef_descriptor)
  
  ...

• V2

  ...
  
  """
  prepare generic raw inference image descriptor
  """
  generic_raw_image_header = kp.v1.GenericRawImageHeader(
      model_id=model_nef_descriptor.models[0].id,
      resize_mode=kp.ResizeMode.KP_RESIZE_ENABLE,
      padding_mode=kp.PaddingMode.KP_PADDING_CORNER,
      normalize_mode=kp.NormalizeMode.KP_NORMALIZE_KNERON,
      inference_number=0
  )
  
  """
  starting inference work
  """
  kp.v1.inference.generic_raw_inference_send(device_group=device_group,
                                            generic_raw_image_header=generic_raw_image_header,
                                            image=img_bgr565,
                                            image_format=kp.ImageFormat.KP_IMAGE_FORMAT_RGB565)
  
  generic_raw_result = kp.v1.inference.generic_raw_inference_receive(device_group=device_group,
                                                                     generic_raw_image_header=generic_raw_image_header,
                                                                     model_nef_descriptor=model_nef_descriptor)
  
  ...