Uploaded October 2021 | Updated September 2026, 1 hour ago
Ever wanted to implement facial recognition or verification into your application?
In this series you'll learn how to build a deep facial recognition application to authenticate into an application. You'll start off by building a model using Deep Learning with Tensorflow which replicates what is shown in the paper titled Siamese Neural Networks for One-shot Image Recognition. Once that's all trained you'll be able to integrate it into a Kivy app and actually authenticate!
In Part 7 you'll go through how to:
Setup Verification Images
Build Verify Function
Perform Recognition in Real Time using OpenCV
Get the code: github.com/nicknochnack/FaceRecognition
Links
Paper: https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
Labelled Faces in the Wild: http://vis-www.cs.umass.edu/lfw/
Chapters:
0:00 - Start
0:29 - Explainer
1:09 - Tutorial Start
1:48 - Whiteboard
5:09 - Setup Verification Images Folder
7:53 - Build Verification Function
15:30 - Make Predictions
17:08 - Calculate Detection and Verification Thresholds
20:32 - Access Webcam
26:30 - Add Verification to Loop
31:32 - Testing the Final Model
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!
Ever wanted to implement facial recognition or verification into your application?
In this series you'll learn how to build a deep facial recognition application to authenticate into an application. You'll start off by building a model using Deep Learning with Tensorflow which replicates what is shown in the paper titled Siamese Neural Networks for One-shot Image Recognition. Once that's all trained you'll be able to integrate it into a Kivy app and actually authenticate!
In Part 7 you'll go through how to:
Setup Verification Images
Build Verify Function
Perform Recognition in Real Time using OpenCV
Get the code: github.com/nicknochnack/FaceRecognition
Links
Paper: https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
Labelled Faces in the Wild: http://vis-www.cs.umass.edu/lfw/
Chapters:
0:00 - Start
0:29 - Explainer
1:09 - Tutorial Start
1:48 - Whiteboard
5:09 - Setup Verification Images Folder
7:53 - Build Verification Function
15:30 - Make Predictions
17:08 - Calculate Detection and Verification Thresholds
20:32 - Access Webcam
26:30 - Add Verification to Loop
31:32 - Testing the Final Model
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!
