k4a-python

python wrapper for k4a


Keywords
azure-kinect-sdk, k4a, python, wrapper
License
MIT
Install
pip install k4a-python==0.2.40

Documentation

Since my Azure-Kinect is broken, it will not be updated in the future.You can get the project source code from pypi.

k4a-python

PyPI
This library is a wrapper in Python for Azure-Kinect-Sensor-SDK

  • depth\color\ir image numpy data
  • depth (colorize)
  • depth to color transform
  • IMU data
  • read camera setting
  • set camera setting
  • some trivial functions, such as get_installed_count

Prereqs

Install

Linux

pip install k4a-python

pip install only have test on ubuntu 18.04, but it should aslo work well with other linux distributions.

Windows

pip on windows has not been tested, will test as soon.

TODO

  • other official c++ API
  • other official modules, like k4arecord
  • official example
  • Microphone data

Usage

The Python API mainly refers to the official C + + API
(Will have better example)
dirty example code :

import pyk4a
import cv2
import numpy as np

print(pyk4a.Device.get_installed_count())
device=pyk4a.Device.open(pyk4a.K4A_DEVICE_DEFAULT)
print(device.get_serialnum())
config = pyk4a.Configuration()
config.depth_mode = pyk4a.K4A_DEPTH_MODE_WFOV_2X2BINNED
config.color_resolution = pyk4a.K4A_COLOR_RESOLUTION_720P
config.camera_fps = pyk4a.K4A_FRAMES_PER_SECOND_30
config.color_format = pyk4a.K4A_IMAGE_FORMAT_COLOR_BGRA32
config.synchronized_images_only = True

calibration = device.get_calibration(config.depth_mode, config.color_resolution)
transformation = pyk4a.Transformation(calibration)
device.start_cameras(config)
device.start_imu()
capture=pyk4a.Capture()

a=10
while a>0:
    a-=1
    print(a)

    if device.get_capture(capture,1000):

        img=capture.get_color_image()
        # img=transformation.depth_image_to_color_camera(img)
        # print(img.get_device_timestamp())
        print(device.get_raw_calibration())
        img=img.numpy()
        # state=device.get_imu_sample()
        # print(state)
        cv2.imshow('t',img)
        cv2.waitKey(1)