Learn how to build an Iris Tracking model using Keypoint Detection with Tensorflow and Python!

Download the code here: https://github.com/nicknochnack/IrisDetection

Links
https://github.com/wkentaro/labelme
https://albumentations.ai/docs/getting_started/
https://www.tensorflow.org/api_docs/python/tf/data/Dataset#batch

Chapters
0:00 – Introduction
0:37 – Explanation
1:31 – PART 1 – Installation and configuration
13:23 – PART 2 – Loading data and labels
14:12 – How the data was created
21:49 – Loading images
30:06 – Loading labels
37:25 – Combine image and label examples
43:46 – View examples
53:17 – PART 3 – Build and train the neural network
53:59 – Create the Keypoint detection model
1:13:28 – Installation loss and optimization
1:14:57 – Sense Check predictions
1:17:23 – Train the model
1:24:51 – PART 4 – Assessing performance and making predictions
1:27:24 – View loss plots
1:30:57 – Save the model
1:34:03 – PART 5 – Real-time detection and final results
1:41:49 – End

Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

Ps Let me know how it goes and leave a comment if you need any help!
#deeplearning #python

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