Build a Deep Facial Recognition App // Part 2 Collecting Data // Deep Learning Project Tutorial
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 2 you’ll go through:
1. Collecting Negative images from Labelled Faces in the wild
2. Resizing OpenCV Output Frames for Image Collection
3. Collecting Positive and Anchor Images
Get the code:
Links
Paper: ~rsalakhu/papers/
Labelled Faces in the Wild:
Chapters:
0:00 - Start
0:28 - What’s Covered
1:45 - Whiteboard Session
7:34 - Collect LFW Data
12:20 - Moving Images
19:38 - Access Webcam with OpenCV
27:14 - Cha
6 views
32
5
1 week ago 00:08:10 1
AI Agents Will Create MILLIONAIRES in 2025 – Are You Ready
2 weeks ago 00:01:29 1
Тентовые здания МСБИЛДИНГС
2 weeks ago 00:03:58 1
The Shira Choir x The Kiffness - Im Hashem Lo Yivneh Bayis (Psalm 127 DANCE REMIX)
2 weeks ago 00:02:43 1
Yearning Kru - Multipass
2 weeks ago 00:40:25 1
40MIN Unilateral Leg Strength - Lower Body Workout
2 weeks ago 00:19:20 1
Blue Ribbon: Story of the Build
2 weeks ago 00:00:31 1
Тот самый чел, который говорит что он “топ 1 холиворлда“
3 weeks ago 00:06:07 1
PATRIARKH - WIERSZALIN IV (feat. Eliza Sacharczuk) (Official Video) | Napalm Records