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Dataguzzler-Python Module for the Microsoft Azure Kinect depth camera

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dgpython-azurekinect

This is a Dataguzzler-Python/SpatialNDE2 driver for the Microsoft Azure Kinect ("Kinect for Azure"/K4A) depth camera.

Installation

This package requires the Azure Kinect SDK from Microsoft (uses the C API), Dataguzzler-Python, Cython, and SpatialNDE2. You also need some basic Python packages: setuptools, setuptools_scm, build, wheel, and numpy.

The dgpython-azurekinect package installs with the usual "python setup.py install", but you probably need to tell it where to find the Azure Kinect SDK files (see below). Make sure that you install into the same Python environment you are using for SpatialNDE2 and Dataguzzler-Python

To tell the setup script where to find the Azure Kinect SDK files, you need to either modify setup.cfg configuring the path to the SDK in the with-azurekinect parameter:

[build] with-azurekinect=/usr/local/src/k4a-1.4.1_ubuntu1804

or you can create a new setup_local.cfg (similar to setup.cfg) with your path configured. If you do the latter, you must set the DIST_EXTRA_CONFIG environment variable to point at your setup_local.cfg, as illustrated in setupcmd.sh (Linux) and setupcmd.bat (Windows).

To perform the install, if you modified setup.cfg you can just (possibly as root or administrator):

pip install --no-deps --no-build-isolation .

If you created setup_local.cfg, instead run:

sudo ./setupcmd.sh (Linux; central install)

or,

./setupcmd.sh (Linux; user install)

or,

.\setupcmd.bat (Windows)

NOTE: If you upgrade spatialnde2 it is highly recommended that, after rebuilding and performing the Python reinstall ("python setup.py install" from the spatialnde2 build directory) that you clean out your dgpython-azurekinect build/ and dist/ directories and do a full reinstall, e.g. from the dgpython-azurekinect directory:

  WINDOWS:
        rmdir /s build dest
        setupcmd.bat
  LINUX:
        rm -r build/ dest/
        bash setupcmd.sh

Usage

This package is designed to be used from Dataguzzler-Python. In your Dataguzzler-Python configuration (.dgp file):

import dgpython_azurekinect as ak k4a = ak.K4A("k4a",recdb, None, "/k4achan" ) k4a.running=True # Start capture

The above configuration will start live capture into the "/k4achan" channel of the SpatialNDE2 recording database.

The parameters to the K4A constructor are:

  1. The module name
  2. The SpatialNDE2 recording database
  3. The serial number of the camera to open, or None to open the only camera available
  4. Device recording database depth channel name
  5. Device recording database color channel name (optional)

There is an alternative class, K4AFile, that extracts frames from a .mkv file saved by the k4arecorder application. The parameters are the same except the device serial number is replaced by the filename for the .mkv file.

Configuring the Azure Kinect camera

Configuration is controlled and queried through a number of Python properties of the K4A object. These are assigned similar to "k4a.running=True" in the example above.

Many of the properties currently use values enumerated in the ak.syms dictionary that match the low level numbers used in the Azure Kinect C API. A future version may convert the numeric properties to string properties. See the Azure Kinect API manual for more information.

Property Function Type Possible values

running Enable capture boolean True, False color_format Color cam. fmt. integer ak.syms.K4A_IMAGE_FORMAT_COLOR_... color_resolution Color cam. res. integer ak.syms.K4A_COLOR_RESOLUTION_... depth_mode Depth cam. res. integer ak.syms.K4A_DEPTH_MODE_... camera_fps Frames per sec. integer ak.syms.K4A_FRAMES_PER_SECOND_... synchronized_images_only boolean True, False depth_delay_off_color_usec integer Magn. less than one capt. period wired_sync_mode Multi-camera integer ak.syms.K4A_WIRED_SYNC_MODE_... subordinate_delay_off_master_usec integer Up to one capture period disable_streaming_indicator boolean True, False point_cloud_frame integer K4A_CALIBRATION_TYPE_... depth_data_mode Depth cam. acq. string "IMAGE" or "POINTCLOUD" depth_data_type Depth cam. acq. string "INT" or "FLOAT" calcsync Wait for math boolean True, False

Dynamic Metadata

This driver supports dynamic metadata on live acquisitions. Call the .dynamic_metadata.AddStaticMetaDatum() and/or .dynamic_metadata.AddDynamicMetaDatum() methods, e.g.

k4a.dynamic_metadata.AddStaticMetaDatum("/k4achan","testmd","testmd_value") k4a.dynamic_metadata.AddDynamicMetaDatum("/k4achan","testmd2",lambda: k4a.depth_mode)

Examples

There is an example dataguzzler-python configuration for live capture, demos/acquire_azurekinect.dgp. Run it with: dataguzzler-python acquire_azurekinect.dgp

There is an example dataguzzler-python configuration for playing back sequences recorded using the k4arecorder application, demos/playback_azurekinect.dgp. Run it with: dataguzzler-python playback_azurekinect.dgp --filename <file.mkv>

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Dataguzzler-Python Module for the Microsoft Azure Kinect depth camera

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