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<p>Pyimagesearch has just released a timely new tutorial that many
of you might find useful.</p>
<p><br>
</p>
<p>John G.<br>
</p>
<div class="moz-forward-container"><br>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
</th>
<td>New Tutorial — OAK-D: Understanding and Running Neural
Network Inference with DepthAI API</td>
</tr>
<tr>
<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Mon, 19 Dec 2022 14:52:14 +0000 (UTC)</td>
</tr>
<tr>
<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>PyImageSearch <a class="moz-txt-link-rfc2396E" href="mailto:adrian@pyimagesearch.com"><adrian@pyimagesearch.com></a></td>
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<tr>
<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:zizumara@sbcglobal.net">zizumara@sbcglobal.net</a></td>
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#4477bd;" moz-do-not-send="true"><span style="color: rgb(17, 85, 204); text-decoration: underline; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 700 11pt/1.5 Arial;">OAK-D: Understanding and Running Neural Network Inference with DepthAI API</span></a><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 400 11pt/1.5 Arial;">.</span></p>
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src="https://www.dripuploads.com/uploads/image_upload/image/2766466/embeddable_5162979c-4044-4ac9-944e-fe6c80cbc9c8.png"
style="font-family: "Helvetica
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<p dir="ltr" style="line-height: 1.38;
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"Helvetica", Helvetica, Arial,
sans-serif; box-sizing: border-box; font-size:
14px; font-weight: normal;"><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 400 11pt/1.5 Arial;">Over the years, object detection has evolved from simply detecting items in a 2D image to something much more complex. There are several algorithms and approaches which can give you great object detection results, but to make 100% use of the information, it is integral that we also figure out a solution to determine the depth of those items. </span></p>
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style="text-decoration: none; font-family:
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#4477bd;" moz-do-not-send="true"><span style="color: rgb(17, 85, 204); text-decoration: underline; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 400 11pt/1.5 Arial;">Previously</span></a><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 400 11pt/1.5 Arial;">, we introduced you to the beautiful world of the OpenCV AI Kit (OAK). These modular deep learning (DL) products have tremendous potential to bolster computer vision tasks and ideas. But that’s the hardware side of things. Without proper software, even something as strong as Iron Man’s suit would only be a piece of excess tin. </span></p>
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<p dir="ltr" style="line-height: 1.38;
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font-family: "Helvetica Neue",
"Helvetica", Helvetica, Arial,
sans-serif; box-sizing: border-box; font-size:
14px; font-weight: normal;"><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 400 11pt/1.5 Arial;">Today, we introduce you to DepthAI, a complete ecosystem of cutting-edge hardware and software that transforms an OAK-D device into a DL beast. </span></p>
<p dir="ltr" style="line-height: 1.38;
margin-top: 10pt; margin-bottom: 0pt;
font-family: "Helvetica Neue",
"Helvetica", Helvetica, Arial,
sans-serif; box-sizing: border-box; font-size:
14px; font-weight: normal;"><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 700 11pt/1.5 Arial;">The big picture:</span><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 400 11pt/1.5 Arial;"> DepthAI is a spatial AI platform that enables machines to view the world similarly to how people identify items or characteristics and their locations in the real world. It aims to deliver state-of-the-art solutions and performance in real-world applications using edge devices.</span></p>
<p dir="ltr" style="line-height: 1.38;
margin-top: 10pt; margin-bottom: 0pt;
font-family: "Helvetica Neue",
"Helvetica", Helvetica, Arial,
sans-serif; box-sizing: border-box; font-size:
14px; font-weight: normal;"><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 700 11pt/1.5 Arial;">How it works:</span><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 400 11pt/1.5 Arial;"> Built around the Intel Movidius Visual Processing Unit (VPU), the DepthAI platform has the potential to perform 4 trillion operations per second, ensuring flawless real-time execution. Furthermore, it combines the task of depth perception with an easy-to-use Python API. </span></p>
<p dir="ltr" style="line-height: 1.38;
margin-top: 10pt; margin-bottom: 0pt;
font-family: "Helvetica Neue",
"Helvetica", Helvetica, Arial,
sans-serif; box-sizing: border-box; font-size:
14px; font-weight: normal;"><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 700 11pt/1.5 Arial;">Our thoughts:</span><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 400 11pt/1.5 Arial;"> Combining the task of object detection with depth perception is an ingenious way of advancing research in this domain. DepthAI flawlessly accomplishes its intended use as a super-powered neural network accelerator excelling at combining vision tasks with depth perception. </span></p>
<p dir="ltr" style="line-height: 1.38;
margin-top: 10pt; margin-bottom: 0pt;
font-family: "Helvetica Neue",
"Helvetica", Helvetica, Arial,
sans-serif; box-sizing: border-box; font-size:
14px; font-weight: normal;"><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 700 11pt/1.5 Arial;">Yes, but:</span><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 400 11pt/1.5 Arial;"> Initially, it can be a bit overwhelming to understand the workings of each node that we have discussed in the DepthAI SDK, but it is done so that nothing is left to abstraction. </span></p>
<p dir="ltr" style="line-height: 1.38;
margin-top: 10pt; margin-bottom: 0pt;
font-family: "Helvetica Neue",
"Helvetica", Helvetica, Arial,
sans-serif; box-sizing: border-box; font-size:
14px; font-weight: normal;"><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 700 11pt/1.5 Arial;">Stay smart:</span><span style="color: rgb(0, 0, 0); text-decoration: none; vertical-align: baseline; white-space: pre-wrap; box-sizing: border-box; font: 400 11pt/1.5 Arial;"> Be sure you understand how each node and connection works. Having a grasp of how DepthAI works can tremendously bolster your approaches to DL problems using OAK-D.</span></p>
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<h1 dir="ltr" style="line-height: 1.38;
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