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av-savchenko avatar av-savchenko commented on August 27, 2024

Most of these directories are created in train_emotions.ipynb. Here is the output of my ls -1 AffectNet:
224
emotion_labels.csv
faces
full_res
full_res_aligned
Manually_Annotated_Images
orig
other_classes
training.csv
training_filtered.csv
training_va.csv
validation.csv
validation_filtered.csv
validation_va.csv

In addition, there is new script to work with recent format of AffectNet dataset in train_affectnet_march2021_pytorch.ipynb

from face-emotion-recognition.

shilat-soto avatar shilat-soto commented on August 27, 2024

Thank you very much for the quick reply.
The project I downloaded from GitHub does not have these files
What do they contain?
are they needed for a model for facial emotion recognition?
The model looks really suitable for me and I would love to use it, I just want to figure out how to use it as best as possible

from face-emotion-recognition.

av-savchenko avatar av-savchenko commented on August 27, 2024

Most of these folders is created by my script, as I told before. The original files and folder are disctibuted by the authors of AffectNet, and I cannot share their data. However, if you do not need to train your own models with my code, you could just use my models. For simplicity, I creted two libraries, hsemotion that works with PyTorch models and hsemotion-onnx that needs ONNX. These repositories contains demos in their demo folder that you could use to work wit my models

from face-emotion-recognition.

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