#AI – Getting started with #ComputerVision, #DeepLearning, and #OpenCV by Adrian Rosebrock @pyimagesearch

display face landmarks in python using face recognition
display face landmarks in python using face recognition
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Hi!

When you start to research the amazing world of Computer Vision, you find that there are plenty of courses, tutorials, videos and more resources. Something is kind of “too much”, and it’s not easy to choose where to start.

That’s why, when you arrive to one of the Adrian Rosebrock tutorials or articles, they’ll end in one of your favorites bookmarks. He has amazing detailed step by step tutorials, and I learned a lot of Raspberry Pi and OpenCV from his website.

A couple of weeks ago, Adrian released an amazing resource for Computer Vision enthusiasts:

Need help getting started with Computer Vision, Deep Learning, and OpenCV?

No matter if you are starting from zero, have some knowledge or you are already an expert; you must look at this amazing compile of resources. I’ll copy and paste the main topics

And I can’t thanks enough Adrian for his amazing work and also, for sharing all of this!

Happy coding!

Greetings @ Toronto

El Bruno

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#AI – Introduction to #deeplearning vs. #machinelearning by @frlazzeri. The best 10 min read for today

Hi!

Explain the differences / relationship between Machine Learning and Deep Learning is a question that I face in every event or chat about Machine Learning.

And I used to have my 5 bullets explanation for this. However, now thanks to Francesca Lazzeri (@frlazzeri) I can advice people to read this amazing article.

Introduction to deep learning vs. machine learning

Introduction to deep learning vs. machine learning

So, you know, if you have 10 minutes, this will really help you understand the relationships between AI, ML and DL!

Happy Coding!

Greetings @ Toronto

El Bruno

#Event – Resources for the sessions about #DeepLearning and #CustomVision at the @ChicagoCodeCamp

Hi!

Another post-event post, this time with a big thanks to the team behind one of the most amazing event I’ve been this year: Chicago CodeCamp.

I had the chance to meet a lot of amazing people, to learn a lot during the sessions and also to visit the great city of Chicago.

As usual, now it’s time to share slides, code and more.

Deep Learning for Everyone? Challenge Accepted!

Let’s start with the Deep Learning resources


Demos Source Code: https://github.com/elbruno/events/tree/master/2019%2005%2011%20Chicago%20CodeCamp%20Deep%20Learning

Session: How a PoC at home can scale to Enterprise Level using Custom Vision APIs

And also the [How a PoC at home can scale to Enterprise Level using Custom Vision APIs] resources

Demos Source Code: https://github.com/elbruno/events/tree/master/2019%2005%2011%20Chicago%20CodeCamp%20CustomVision

And finally, some Machine Learning.Net, Deep Learning and Custom Vision resources:

My posts on Custom Vision and ONNX

  1. Object recognition with Custom Vision and ONNX in Windows applications using WinML
  2. Object recognition with Custom Vision and ONNX in Windows applications using WinML
  3. Object recognition with Custom Vision and ONNX in Windows applications using Windows ML, drawing frames
  4. Object recognition with Custom Vision and ONNX in Windows applications using Windows ML, calculate FPS
  5. Can’t install Docker on Windows 10 Home, need Pro or Enterprise
  6. Running a Custom Vision project in a local Docker Container
  7. Analyzing images in a Console App using a Custom Vision project in a Docker Container
  8. Analyzing images using PostMan from a Custom Vision project hosted in a Docker Container
  9. Building the CustomVision.ai project in Docker in a RaspberryPi
  10. Container dies immediately upon successful start in a RaspberryPi. Of course, it’s all about TensorFlow dependencies
  11. About ports, IPs and more to access a container hosted in a Raspberry Pi
  12. Average response times using a CustomVision.ai docker container in a RaspberryPi and a PC

Windows 10 and YOLOV2 for Object Detection Series

See you next one in Chicago for some Deep Learning fun!

Happy coding!

Greetings @ Toronto

El Bruno