Day 4: Advanced Applications (Video & Webcam)
Day 4: Advanced Applications (Video & Webcam)
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Welcome to Day 4 of our project!
Welcome to Day 4 of our project!
On day 4, we implemented our trained models (from our previous colab notebooks) to real time applications. For our project, we performed face detection and emotion recongnition on a video and live stream data.
Video Application
Video Application
In order to apply our trained model (from day 3) to the sample video, we followed the following process.
After importing the required libraries, we loaded our saved models and the face detection model given.
After importing the required libraries, we loaded our saved models and the face detection model given.
The next step was to apply the model to the sample video (downloaded and uploaded to files).
The next step was to apply the model to the sample video (downloaded and uploaded to files).
output.mp4Here are the video results!
Here are the video results!
Webcam Application
Webcam Application
In order to apply our trained model (from day 3) to a picture taken from our webcams, we followed the following process.
Just like the video application, after importing the required libraries, we loaded our saved models and the face detection model given.
Just like the video application, after importing the required libraries, we loaded our saved models and the face detection model given.
In this section, we were able to capture and save our picture as "photo.jpg"
In this section, we were able to capture and save our picture as "photo.jpg"
Like the video application, we applied the trained model on our captured image(s).
Like the video application, we applied the trained model on our captured image(s).
Fear
Fear
Angry
Angry
Here are some final results!
Here are some final results!
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