Class BayerDemosaicOp

class BayerDemosaicOp : public holoscan::Operator

Operator class to demosaic the input video stream.

Named inputs:

  • receiver: nvidia::gxf::Tensor or nvidia::gxf::VideoBuffer

    • The input video frame to process. If the input is a VideoBuffer it must be an 8-bit unsigned grayscale video (nvidia::gxf::VideoFormat::GXF_VIDEO_FORMAT_GRAY). The video buffer may be in either host or device memory (a host->device copy is performed if needed). If a video buffer is not found, the input port message is searched for a tensor with the name specified by in_tensor_name. This must be a device tensor in either 8-bit or 16-bit unsigned integer format.

Named outputs:

  • transmitter: nvidia::gxf::Tensor

    • The output video frame after demosaicing. This will be a 3-channel RGB image if alpha_value is true, otherwise it will be a 4-channel RGBA image. The data type will be either 8-bit or 16-bit unsigned integer (matching the bit depth of the input). The name of the tensor that is output is controlled by out_tensor_name.

Public Functions

HOLOSCAN_OPERATOR_FORWARD_ARGS (BayerDemosaicOp) BayerDemosaicOp()=default

virtual void setup(OperatorSpec &spec) override

Define the operator specification.

Parameters

spec – The reference to the operator specification.

virtual void initialize() override

Initialize the operator.

This function is called when the fragment is initialized by Executor::initialize_fragment().

virtual void compute(InputContext &op_input, OutputContext &op_output, ExecutionContext &context) override

Implement the compute method.

This method is called by the runtime multiple times. The runtime calls this method until the operator is stopped.

Parameters
  • op_input – The input context of the operator.

  • op_output – The output context of the operator.

  • context – The execution context of the operator.

virtual void stop() override

Implement the shutdown logic of the operator.

This method is called multiple times over the lifecycle of the operator according to the order defined in the lifecycle, and used for heavy deinitialization tasks such as deallocation of all resources previously assigned in start.

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