[Dprglist] Fwd: New Tutorial — OAK-D: Understanding and Running Neural Network Inference with DepthAI API

[John Gauthier]

Pyimagesearch has just released a timely new tutorial that many of you 
might find useful.


John G.


-------- Forwarded Message --------
Subject: 	New Tutorial — OAK-D: Understanding and Running Neural Network 
Inference with DepthAI API
Date: 	Mon, 19 Dec 2022 14:52:14 +0000 (UTC)
From: 	PyImageSearch <adrian at pyimagesearch.com>
To: 	zizumara at sbcglobal.net



Hi,

This week you’ll learn about OAK-D: Understanding and Running Neural 
Network Inference with DepthAI API 
<https://t.dripemail2.com/c/eyJhbGciOiJIUzI1NiJ9.eyJhdWQiOiJkZXRvdXIiLCJpc3MiOiJtb25vbGl0aCIsInN1YiI6ImRldG91cl9saW5rIiwiaWF0IjoxNjcxNDYxNzQ5LCJuYmYiOjE2NzE0NjE3NDksImFjY291bnRfaWQiOiI0NzY4NDI5IiwiZGVsaXZlcnlfaWQiOiIwNXhlNDI0Y3FoeTY1YndvaXY2cSIsInVybCI6Imh0dHBzOi8vcHlpbWcuY28vOHluYms_dXRtX1NvdXJjZT1EcmlwJnV0bV9NZWRpdW09RW1haWwmdXRtX0NhbXBhaWduPVdlZWtseVVwZGF0ZSZ1dG1fQ29udGVudD0xOURlYzIwMjJOb25Vbml2MSZfX3M9eGhicTNkZXhpcmxjdHZ0ajZsODYifQ.5wpXWxOtmazEQuo1M-dxRo58Kyu71WEKESPzRUyDeK8>.

Image 
<https://t.dripemail2.com/c/eyJhbGciOiJIUzI1NiJ9.eyJhdWQiOiJkZXRvdXIiLCJpc3MiOiJtb25vbGl0aCIsInN1YiI6ImRldG91cl9saW5rIiwiaWF0IjoxNjcxNDYxNzQ5LCJuYmYiOjE2NzE0NjE3NDksImFjY291bnRfaWQiOiI0NzY4NDI5IiwiZGVsaXZlcnlfaWQiOiIwNXhlNDI0Y3FoeTY1YndvaXY2cSIsInVybCI6Imh0dHBzOi8vcHlpbWcuY28vOHluYms_dXRtX1NvdXJjZT1EcmlwJnV0bV9NZWRpdW09RW1haWwmdXRtX0NhbXBhaWduPVdlZWtseVVwZGF0ZSZ1dG1fQ29udGVudD0xOURlYzIwMjJOb25Vbml2MiZfX3M9eGhicTNkZXhpcmxjdHZ0ajZsODYifQ.crESpfGTB5LgTOQCmR83TdWrRy3G5La3DISzWXcLWsQ>

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.

Previously 
<https://t.dripemail2.com/c/eyJhbGciOiJIUzI1NiJ9.eyJhdWQiOiJkZXRvdXIiLCJpc3MiOiJtb25vbGl0aCIsInN1YiI6ImRldG91cl9saW5rIiwiaWF0IjoxNjcxNDYxNzQ5LCJuYmYiOjE2NzE0NjE3NDksImFjY291bnRfaWQiOiI0NzY4NDI5IiwiZGVsaXZlcnlfaWQiOiIwNXhlNDI0Y3FoeTY1YndvaXY2cSIsInVybCI6Imh0dHBzOi8vcHlpbWcuY28vZHVzNHc_dXRtX1NvdXJjZT1EcmlwJnV0bV9NZWRpdW09RW1haWwmdXRtX0NhbXBhaWduPVdlZWtseVVwZGF0ZSZ1dG1fQ29udGVudD0xOURlYzIwMjJOb25Vbml2MyZfX3M9eGhicTNkZXhpcmxjdHZ0ajZsODYifQ.9sV9ejJPcAe8DbZGr9N1BhToejbo_5X0OYtjrzCss_g>, 
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.

**

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.

The big picture: 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.

How it works: 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.

Our thoughts: 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.

Yes, but: 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.

Stay smart: 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.

Click here to read the full tutorial 
<https://t.dripemail2.com/c/eyJhbGciOiJIUzI1NiJ9.eyJhdWQiOiJkZXRvdXIiLCJpc3MiOiJtb25vbGl0aCIsInN1YiI6ImRldG91cl9saW5rIiwiaWF0IjoxNjcxNDYxNzQ5LCJuYmYiOjE2NzE0NjE3NDksImFjY291bnRfaWQiOiI0NzY4NDI5IiwiZGVsaXZlcnlfaWQiOiIwNXhlNDI0Y3FoeTY1YndvaXY2cSIsInVybCI6Imh0dHBzOi8vcHlpbWcuY28vOHluYms_dXRtX1NvdXJjZT1EcmlwJnV0bV9NZWRpdW09RW1haWwmdXRtX0NhbXBhaWduPVdlZWtseVVwZGF0ZSZ1dG1fQ29udGVudD0xOURlYzIwMjJOb25Vbml2NCZfX3M9eGhicTNkZXhpcmxjdHZ0ajZsODYifQ.9pr8SV3ghTOa8z70gN__rnJFu8pECDDDuLEBq-yxvmI>


  Do You Have an OpenCV Project in Mind?

You can instantly access all of the code for OAK-D: Understanding and 
Running Neural Network Inference with DepthAI API 
<https://t.dripemail2.com/c/eyJhbGciOiJIUzI1NiJ9.eyJhdWQiOiJkZXRvdXIiLCJpc3MiOiJtb25vbGl0aCIsInN1YiI6ImRldG91cl9saW5rIiwiaWF0IjoxNjcxNDYxNzQ5LCJuYmYiOjE2NzE0NjE3NDksImFjY291bnRfaWQiOiI0NzY4NDI5IiwiZGVsaXZlcnlfaWQiOiIwNXhlNDI0Y3FoeTY1YndvaXY2cSIsInVybCI6Imh0dHBzOi8vcHlpbWcuY28vOHluYms_dXRtX1NvdXJjZT1EcmlwJnV0bV9NZWRpdW09RW1haWwmdXRtX0NhbXBhaWduPVdlZWtseVVwZGF0ZSZ1dG1fQ29udGVudD0xOURlYzIwMjJOb25Vbml2NSZfX3M9eGhicTNkZXhpcmxjdHZ0ajZsODYifQ.myP6vH3Byjoes5-G2wbFzbZnvTvmDuEmfRxj7XbJDPU>, along 
with courses on TensorFlow, PyTorch, Keras, and OpenCV by joining 
PyImageSearch University.

Guaranteed Results: If you haven't accomplished your Computer 
Vision/Deep Learning goals, let us know within 30 days of purchase and 
get a full refund.

Do You Have an OpenCV Project in Mind? 
<https://t.dripemail2.com/c/eyJhbGciOiJIUzI1NiJ9.eyJhdWQiOiJkZXRvdXIiLCJpc3MiOiJtb25vbGl0aCIsInN1YiI6ImRldG91cl9saW5rIiwiaWF0IjoxNjcxNDYxNzQ5LCJuYmYiOjE2NzE0NjE3NDksImFjY291bnRfaWQiOiI0NzY4NDI5IiwiZGVsaXZlcnlfaWQiOiIwNXhlNDI0Y3FoeTY1YndvaXY2cSIsInVybCI6Imh0dHBzOi8vcHlpbWFnZXNlYXJjaC5jb20vcHlpbWFnZXNlYXJjaC11bml2ZXJzaXR5Lz91dG1fU291cmNlPURyaXAmdXRtX01lZGl1bT1FbWFpbCZ1dG1fQ2FtcGFpZ249V2Vla2x5VXBkYXRlJnV0bV9Db250ZW50PTE5RGVjMjAyMk5vblVuaXY2Jl9fcz14aGJxM2RleGlybGN0dnRqNmw4NiJ9.uHbEnW8mE8dTQHCYYkvVo507knCB0FLlKOx6x7bh408>


Your PyImageSearch Team

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