Face Recognition Android App Using TensorFlow Lite And OpenCV: Final Part 4
In this video, we will read the output of the Interpreter prediction. Then we will create a function that separates each face using a prediction value. Using that function output we will put text on the original frame. If you want me to improve model accuracy comment below.
New Model link (input_size=64):
https://www.kaggle.com/pramod722445/f...
Dataset Link:
https://www.kaggle.com/pramod722445/f...
Kaggle Notebook Code Link:
1. https://www.kaggle.com/pramod722445/f... (EfficientNet)
2. https://www.kaggle.com/pramod722445/n... (EfficientNet)
3. https://www.kaggle.com/pramod722445/f... (MobileNetV2)
Prerequisite code for starting: Image Processing On Android Using OpenCV Part 1-3
Youtube link:
• Adding OpenCV Library To Android Studio: I...
• Capture Frame And Display On App: Image Pr...
• Portrait Mode And Scaling Display Screen: ...
Github link:
https://github.com/pramod722445/Image....
If you want me to improve the accuracy of the model comment below. If you want me to improve in anything comment below. Please like and share this video and subscribe to my channel.