This library is a wrapper in Python for Azure-Kinect-Sensor-SDK
pip install pybind11
pip install k4a-python
pip install only have test on ubuntu 18.04, but it should aslo work well with other linux distributions.
pip on windows has not been tested, will test as soon.
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)