I wanted to fully integrate all the computer vision components this week which was mostly a success! Here are some of the following tasks I completed:
- Continued to create and test my new facial recognition model
- This has been kind of a side project to increase the accuracy of the emotion detector in the long run.
- It shows significant benefits, but I’ve decided to hold off for now until we can start with system integration
- Trained a new model with over 200 epochs and 5 convolution layers
- This model reaches an accuracy of 68.8% which is so close to the threshold we set out in the design report.
- I believe we can make it to 70%, but I’ll need to dedicate an instance to training for over 6 hours likely.
- Also need to reduce overfitting again
- Integrated the model to produce labels in real-time
- I’ve included some pictures below to show that it is working!
- It has a noticeable bias to say that you are sad which is a bit of an issue
- I’m still working to discover why this is.
Being mostly done with the model, I am on schedule and ready to work on system integration this upcoming week!
Goals for next week:
- Continue to update the hyperparameters of the model to obtain the best accuracy as possible.
- Download the model to the Jetson and use the webcam / Jetson to run the model instead of my computer
- This will fulfill my portion of the system integration
- I would like to transmit the outfit from my model to Mason’s website in order to ensure that we are getting reasonable metrics.
