Commit History

  1. model not good (90%), so deleted

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    b6ef7ee
  2. fix to return correct img

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    87a0a2f
  3. Enable overlay

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  4. changed crop size back to 1024

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    9e2ba70
  5. added default to test again

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  6. Fix mask ratio

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    122057c

  1. fixed bugs

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    7e3569f
  2. removed default mask ratio

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    3afb922
  3. made crop 2x larger

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  4. fixing typo

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    280c137
  5. No default value

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  6. added default value to masking ratio textbox

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  7. comma

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  8. Forgot to put in Masking Ratio text box earlier; did it now

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  9. Adds a textbox for user to determine mask ratio; also includes center crop before resizing.

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  10. changed masking ratio to 60%

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  11. changed back to pretraining 75% masking ratio; masking ratio still set to 50%

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  12. changed masking ratio back to 50%; changed model params to match new pretraining

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  13. updated masking ratio to 90%

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  14. Trying with the MAE pretrained on 90% masking

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  15. Changed masking ratio to 50%

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  16. Added MAE pretrained on 90% masking ratio

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  17. removed share = True because it's not compatible with HuggingFace

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  18. Made ssr mode True again, added Interface to an object

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  19. Made launch separate to test out public link

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  20. added: ssr_mode=False

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  21. Added missing ViTForEmotionClassification class

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  22. Added ViTForEmotionClassificationMLP

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  23. removed math

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  24. removed copy

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  25. removed random

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  26. removed json and os; causing errors

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  27. removed transformer; was causing errors

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  28. took out PIL; was causing errors

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  29. Adding required modules/libraries

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  30. Added both models as well as MAE/ViT architecture

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  31. Taking out links to models; will add here directly

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  32. Added the Emotion Classifier Model

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  33. app.py

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    3114d75

  1. Added EmpathNetMAE model

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  2. initial commit

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    dc0d61a