Completed
- Tuning the Verification and Detection Metrics
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Classroom Contents
Build a Deep Facial Recognition App - Kivy Computer Vision App with OpenCV and Tensorflow
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- 1 - Start
- 2 - Explainer
- 3 - Tutorial Start
- 4 - Whiteboard
- 5 - Setup App Folder
- 6 - Install Kivy
- 7 - Setup Validation Folder
- 8 - Create Custom Layer module
- 9 - Bring over h5 model
- 10 - Create faceid.py
- 11 - Import Dependencies
- 12 - Import Other Dependencies
- 13 - Build App Layout
- 14 - Build Update Function
- 15 - Migrate preprocessing Function
- 16 - Migrate verification Function
- 17 - Setup Webcam Saving
- 18 - Load Tensorflow Model
- 19 - Link Verification button to Function
- 20 - Testing the App
- 21 - Tuning the Verification and Detection Metrics
- 22 - Debugging Weird Detection Performance
- 23 - Performance Tuning
- 24 - Data Augmentation
- 25 - Adding more images to Dataset
- 26 - Bump up Shuffle buffer_size
- 27 - Evaluate on Whole Test Dataset
- 28 - Testing the Final Model
