Month: April 2021

Fred’s Status Report for 4/3/2021

This week

The main thing I worked on was assembling our base. This involved learning how to cut wood and screw wood together. I worked at the techspark workshop in order to get this done.

I also began work on our used feedback model. Right now I have added functions that allow users to submit their feedback and I can store that

For next week

I am going to work on the model that will grade clothing based on how much the user like it.

I will also begin debugging our software and merging our software parts together.

Henry’s Status Report for 4/03/2021

This week I worked on:

  • fine-tuned detector. It didn’t result in significant increases in accuracy.
  • I ran into some overfitting problems with the classifier. The training accuracy would hover around 70% but the testing accuracy was only 30%. I added a batch regularization layer, dropout layer, and better preprocessing. Hopefully by next week I can get a model with good accuracy. If I still can’t get a good model trained, as risk mitigation I can find an existing model online, however it is not ideal as existing models use old architecture so I would not maximize accuracy.
  • implemented clothing images and attributes storage. Uses pickle to store images and attributes in a dictionary.
  • Implemented color attribution. Uses MMCQ algorithm with color thief API.

For next week:

  • Retrain classifier with new model.
  • train fine-grained clothing attribution model.

Although I am slightly behind schedule for the models, I am ahead of schedule for the clothing storage, which means I can focus more time onto the models.