Additional files

[shilat-soto]

What additional files need to be created in the project and what is their content
I would be happy to list a file tree for the project files
For example, the files behind the code:
AFFECT_DATA_DIR=ALL_DATA_DIR#+'AffectNet/'
AFFECT_TRAIN_DATA_DIR = AFFECT_DATA_DIR+'full_res/train'
AFFECT_VAL_DATA_DIR = AFFECT_DATA_DIR+'full_res/val'
AFFECT_IMG_TRAIN_DATA_DIR = AFFECT_DATA_DIR+str(INPUT_SIZE[0])+'/train'
AFFECT_IMG_VAL_DATA_DIR = AFFECT_DATA_DIR+str(INPUT_SIZE[0])+'/val'
AFFECT_TRAIN_ORIG_DATA_DIR = AFFECT_DATA_DIR+'orig/train'
AFFECT_VAL_ORIG_DATA_DIR = AFFECT_DATA_DIR+'orig/val'

[av-savchenko]

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

[shilat-soto]

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

[av-savchenko]

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