Comments (1)
If you use the probabilistic way of training, you should be using the histogram. Otherwise, you can ignore this example.
Here's the code how we handle such cases when majority mode is used:
https://github.com/Microsoft/FERPlus/blob/master/src/ferplus.py#L223-L229
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Related Issues (16)
- License: commercial use?
- Overloaded neutral? HOT 2
- Distorting the image on new images to predict HOT 3
- Can we use cntk-gpu instead of cntk package?
- Can every one share your results?
- Test accuracy on Multi-label
- errors in the new csv file? HOT 1
- What's the meaning of "NF","unknown" HOT 1
- This repo is missing important files HOT 1
- Size of images HOT 1
- How to match the file fer2013new.csv and fer2013 HOT 1
- Where can download FER dataset?
- There are some error in rect_util.py
- the loss function for multi label learning
- the environment of code
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