Time of training

[huda1197]

Hello. I would like to know how much time did it take you to train all affentnet? and what type of GPU did you choose, and how many GPUs did you choose?

[av-savchenko]

Hi! Thanks for your interest in my project. I used one RTX2080Ti to train the models. If I started the training on AffectNet from pre-trained face ID models, it needs several hours (3-5, I do not remember exact numbers) to run the two phases of training, see the call of train() function in train_affectnet_march2021_pytorch.ipynb for details. For sure, pre-training of the models on VGGFace2 took much more time (approximately a week on the same hardware), as this dataset is an order of magnitude larger when compared to AffectNet

[huda1197]

thank you for your answers. I have a question did you used the annotations in csv file format because I received it in .npy format?

[av-savchenko]

Hello! I do not know the current format of AffectNet dataset. Several years ago, when I downloaded it, all information is stored in training.csv and validation.csv. Their pre-processing is described here. Thanks to another contributor who worked with new format, another ipynb file appeared in my repository. As I'm not the author of AffectNet, I cannot adapt to the change in its structure. However, as far as I know, the images are more or less the same, and only the format of annotations is changing. You could implement the preprocessing by your own if evaluate_affectnet_march2021_pytorch.ipynb does not work for you.

[HudaKouli]

Thank you for your answers. I want to make sure of my conclusion. if I want to use the data in csv file format I should use .train_emotion to preprocessing and train_emotion_pytorch for training the data and further more operations. But if I want to use the data in .npy format I should use evaluate_affectnet_march2021_pytorch.ipynb for preprocessing and train_affectnet_march2021_pytorch for training the data and more. If my conclusion is wrong could you tell me why do we use train_affectnet_march2021_pytorch.

[av-savchenko]

You're correct about training.csv and validation.csv files Speaking about npy annotations, I believe it is possible to just run train_affectnet_march2021_pytorch.ipynb. However, I have not run them personally as I do not have these annotations, so you need to check it by yourself

[huda1197]

thank you for your quick responses. I will try it by myself.

[HudaKouli]

Hello, is it necessary to download hsemotion,hsemotion-onnx packages if I'm working on affectnet dataset with train_affectnet_march2021_pytorch.ipynb notebook? if so I didn't find there uses in this code so why we're using them?

[av-savchenko]

You do not need to install this packages to run the training. I even cannot find where it was written that they are needed...

[av-savchenko]

Closing due to inactivity