Kinect Azure Noise

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In this example we apply kinect azure noise postprocessing to our rendered depth maps.

Usage

Execute in the BlenderProc main directory:

blenderproc run examples/advanced/kinect_azure_noise/main.py examples/resources/camera_positions examples/resources/scene.obj examples/advanced/kinect_azure_noise/output

  • examples/advanced/kinect_azure_noise/main.py: path to the python file with pipeline configuration.

The three arguments afterwards are used by the argparser at the top of the main.py file:

  • examples/resources/camera_positions: text file with parameters of camera positions.

  • examples/resources/scene.obj: path to the object file with the basic scene.

  • examples/advanced/kinect_azure_noise/output: path to the output directory.

Visualization

Visualize the generated data:

blenderproc vis hdf5 examples/advanced/kinect_azure_noise/output/0.hdf5

Implementation

data["depth"] = bproc.postprocessing.add_kinect_azure_noise(data["depth"], data["colors"])

  • Generates depth maps that immitate the kinect azure sensor data. Color data is used to create missing depth at dark surfaces.