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

[av-savchenko]

Closing due to inactivity