Uploaded May 2022 | Updated September 2026, 1 hour ago

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

Get the code here: github.com/nicknochnack/IrisDetection

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

Chapters
0:00 - Intro
0:37 - Explainer
1:31 - PART 1 - Install and Setup
13:23 - PART 2 - Load Data and Labels
14:12 - How the Data was Created
21:49 - Load Images
30:06 - Load Labels
37:25 - Combine Image and Label Samples
43:46 - View Examples
53:17 - PART 3 - Build and Train the Neural Network
53:59 - Create the Keypoint Detection Model
1:13:28 - Setup Loss and Optimizer
1:14:57 - Sense Check Predictions
1:17:23 - Train the Model
1:24:51 - PART 4 - Review Performance and Make 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 - Ending

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

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!
#deeplearning #python