Comments (4)
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.
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.
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.
Related Issues (20)
- Why is multi-task learning one head? HOT 2
- afew test accuracy is around 55% HOT 4
- Accuracy on AffectNet is worse than expected HOT 3
- running code on colab HOT 4
- Time of training HOT 9
- specifications of computer HOT 2
- Missing enet_b0_8_va_mtl.ptl HOT 2
- 'DepthwiseSeparableConv' object has no attribute 'act1'
- question about training on my own data HOT 3
- range of valence and arousal HOT 4
- How to apply Adaptive Frame Rate model on new dataset? HOT 1
- Fine tuning code HOT 2
- Request for a demo code HOT 3
- Request for guidelines on training on multitask classification HOT 2
- Request for help in the Training Script for enet_b0_8_best_afew.onnx model HOT 2
- docker image HOT 3
- Is it possible to predict action units? HOT 4
- Realtime Performance
- Problem with the version of TensorFlow. HOT 2
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