Here are some pictures. I want to use this on surfaces that do reflect light, for example a white cup.
This is the code I am using
from depthai_sdk import OakCamera
with OakCamera() as oak:
color = oak.camera('color')
stereo = oak.create_stereo('800p', fps=60)
stereo.config_stereo(align=color)
stereo.set_ir(dot_projector_brightness=0)
pcl = oak.create_pointcloud(stereo=stereo, colorize=color)
oak.visualize(pcl, visualizer='depthai-viewer')
oak.start(blocking=True)
Hi,
I am starting this thread to get some help on getting the best quality point clouds with the Oak D Pro W camera. I have setup the depthAI software, and I ran the depthai_demo.py, and after adjusting the IR parameters, I was able to get a descent disparity depth image.
However, I am struggling to convert that to a Point cloud, and save it. I was trying to run the demo https://docs.luxonis.com/projects/sdk/en/latest/samples/PointcloudComponent/SDK_pointcloud/
But my output was really sparse. How do I apply the right parameters, and save that point cloud? It would be great to get some help, and I can also provide more details as needed.
