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import sys | |
from datetime import datetime | |
import numpy as np | |
import cv2 | |
from openni import openni2 | |
from openni import _openni2 as c_api | |
openni2.initialize("C:/Dev/Downloads/Orbbec/OpenNI_2.3.0.43/Windows/OpenNI-Windows-x64-2.3/Redist") | |
device = openni2.Device.open_any() | |
ir_stream = device.create_ir_stream() | |
ir_stream.set_video_mode(c_api.OniVideoMode(pixelFormat = c_api.OniPixelFormat.ONI_PIXEL_FORMAT_GRAY16, resolutionX = 320, resolutionY = 240, fps = 30)) | |
ir_stream.start() | |
while(True): | |
frame = ir_stream.read_frame() | |
# returns a 1-dim c_ushort_array of len: 76'800 = 320x240 each pixel having an uint16 value 0..65535 | |
frame_data = frame.get_buffer_as_uint16() | |
# converting to numpy.ndarray which is still 1-dimension only | |
img = np.frombuffer(frame_data, dtype=np.uint16) | |
# convert to 2-dimensional array | |
img.shape = (240, 320) | |
# Display image | |
cv2.imshow("image", img) | |
# Wait for input | |
if cv2.waitKey(1) & 0xFF == ord('q'): | |
cv2.destroyAllWindows() | |
break | |
ir_stream.stop() | |
openni2.unload() |
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