Hello trend,
This is Satya Mallick from LearnOpenCV.com.
We have a new post in our Stereo Vision with OAK-D series. In the last post you learned how to perform object detection with depth measurement using different pre-trained models.
In today's post you will learn more about the depthai pipeline and the various types of available nodes. You will also learn how to create complex pipelines to run multiple neural network models on the OAK-D.
In theory, you could connect infinite number of series and parallel nodes with the depthai pipeline, limited only by hardware capabilities! We will take an example of 2 neural network nodes connected in series - Face Detection and Facial Landmark Detection.
OpenCV AI Kit with Depth (OAK-D) is a powerful and yet affordable Spatial AI camera perfect for people who want to learn how to combine the power of neural networks with depth perception.
Let's learn more in our blog post.
| Creating Complex Pipelines for OAK-D |
You can download the code by clicking on the button below
| Download Code (GitHub) |
Introduction to Spatial AI
If you have no idea what Spatial AI is, here is a video to get you started.
After you have gone through the video, please check out other posts in the series. You will learn quite a bit about stereo vision in general even if you do not own an OAK-D.
- Introduction to OAK-D and DepthAI
- Stereo Vision and Depth Estimation using OpenCV AI Kit
- Object Detection with Depth Measurement using pre-trained models with OAK-D
Cheers!
Satya
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