Comments (3)
Hello! I do not have the recent version of AffectNet, so I cannot modify the code by myself.
As far as I know, the images are the same as before, only their labels are organized in the csv file. Actually, that's was the reason to create the copy of my code for recent dataset that you mentioned. I believe you could easily convert this code for usage with my TensorFlow's implementation of MobileNet. Just load the labels of validation images that you need and match them with my predictions, but be sure about changes in position of labeling as it is written in train_affectnet_march2021_pytorch.ipynb. If you need to retrain the model, just change the imagedataloader and read labels from csv files with Pandas.
from face-emotion-recognition.
Hi,
Thanks for you reply, I had try create my own csv file by myself as your suggestion in previous closed issue, but it's seem to take a long time. I will try again like what you guide above.
Thank you!
from face-emotion-recognition.
Closing due to inactivity
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 2
- Is it possible to predict action units? HOT 4
- Realtime Performance
- Additional files HOT 3
- Problem with the version of TensorFlow. HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from face-emotion-recognition.