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<p>Paul,</p>
<p>Good observation. I've also noticed that after running 15 or 20
minutes, the device is VERY hot to the touch. I'll get the
infrared thermometer from work on Monday and try to quantify that.</p>
<p>Have you noticed the same?<br>
</p>
<p>David</p>
<p><br>
</p>
<div class="moz-cite-prefix">On 1/1/22 4:37 PM, Paul Bouchier via
DPRGlist wrote:<br>
</div>
<blockquote type="cite"
cite="mid:CABfe6oSiGkA3wpW4GghrA0Tqinj9La1H3aE4bawSD5iHc2t0sw@mail.gmail.com">
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<div dir="ltr">
<div>Hi David - I've been playing with mine too, and got similar
results. The way you get to view depth data is by clicking the
top-left drop-down and selecting "depth". The display will
change to a depth map.</div>
<div><br>
</div>
<div>The most useful ROS demo I've found is roslaunch
depthai_examples stereo_nodelet.launch, with gives an rviz
window with depth data in the 3D rviz orbital view, and left
camera image in an image panel. The nodelets consume 33% of a
laptop CPU. It's a bit worryingly high for an rpi4, but we
shall see.<br>
</div>
<div><br>
</div>
<div>This is a very good video explaining how the SW stack works</div>
<div><a
href="https://secure-web.cisco.com/1dGngrWSyoglO9xxoCltgxVfnx5uU21TOzGf9S6URn8ch_BzVEwaFO6-NONm3yEE3sLVH4QTIWqa5C__2jTXXZ1_-KptAtsSnt2R8qt71P2_EVVta3W1nwKghA_mBfJHnyu05PuxlN_KBuvPhrOqgzTTM3lfhBdcw6Iqr5jfRar2XvorYdqd-TUsgECULT8n7Qk4MBIhe8rnYQmNj94jKobSzqIMdQjJX3fu8c0b41CMust1EVkfm6LJE37mRJSCDBIpULzJ7Z4b2FHV8RWfbYhRMUFn2qBDMBb8rSxW0_hY/https%3A%2F%2Fyoutu.be%2Fe_uPEE_zlDo"
moz-do-not-send="true">https://youtu.be/e_uPEE_zlDo</a></div>
<div><br>
</div>
<div>One thing I've discerned so far is there are layers and
layers of SW involved here. The ROS stereo_nodelet demo fires
up the depthai interface, a rosbridge to bring data from the
native interface into ros, and publisher nodelets to publish
the plethora of topics it publishes. The bridge and <br>
</div>
<div><br>
</div>
<div>I now perceive the camera as a thing that has stereo
cameras and can produce a depth image, and quite separate from
that, an neural network inference engine into which one can
download various CNNs and run them to produce typical image
recognition results. IOW a 3-in one device: webcam,
CNN-engine, and stereo depth camera.</div>
<div><br>
</div>
<div>Paul<br>
</div>
</div>
<br>
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