Adjust NMS result to aspect of the input image. (letterbox)

Parameters:

• nms_result - NMS result {:ok, result}
• [rx, ry] - aspect ratio of the input image

Get name of backend NN framework.

Ensure that the back-end framework is as expected.

Get the flat binary from the output tensor on the interpreter.

Parameters

• mod - modules' names or session.
• index - index of output tensor in the model

Get list of the flat binary from the output tensoron the interpreter.

Parameters

• mod - modules' names or session.
• range - range of output tensor in the model

Get the propaty of the model.

Parameters

• mod - modules' names

Invoke prediction.

Two modes are toggled depending on the type of input data. One is the stateful mode, in which input/output data are stored as model states. The other mode is stateless, where input/output data is stored in a session structure assigned to the application.

Parameters

• mod/session - modules name(stateful) or session structure(stateless).

Examples.

    output_bin = session()  # stateless mode
      |> OnnxInterp.set_input_tensor(0, input_bin)
      |> OnnxInterp.invoke()
      |> OnnxInterp.get_output_tensor(0)

Execute post processing: nms.

Parameters

• mod - modules' names
• num_boxes - number of candidate boxes
• num_class - number of category class
• boxes - binaries, serialized boxes tensor[num_boxes][4]; dtype: float32
• scores - binaries, serialized score tensor[num_boxes][num_class]; dtype: float32
• opts
  • iou_threshold: - IOU threshold
  • score_threshold: - score cutoff threshold
  • sigma: - soft IOU parameter
  • boxrepr: - type of box representation
    • :center - center pos and width/height
    • :topleft - top-left pos and width/height
    • :corner - top-left and bottom-right corner pos

Put a flat binary to the input tensor on the interpreter.

Parameters

• mod - modules' names or session.
• index - index of input tensor in the model
• bin - input data - flat binary, cf. serialized tensor
• opts - data conversion

Put flat binaries to the input tensors on the interpreter.

Parameters

• mod - modules' names or session.
• from - first index of input tensor in the model
• items - list of input data - flat binary, cf. serialized tensor

Stop the onnx-runtime interpreter.

Parameters

• mod - modules' names

Ensure that the model matches the back-end framework.

Parameters

• model - path of model file
• url - download site