talkai / facial-emotion-recognition-gluon Goto Github PK
View Code? Open in Web Editor NEWApache MXNet Gluon implementation for state of the art FER+ paper for Facial Emotion Recognition - https://arxiv.org/abs/1608.01041
License: MIT License
Apache MXNet Gluon implementation for state of the art FER+ paper for Facial Emotion Recognition - https://arxiv.org/abs/1608.01041
License: MIT License
Hi.first I downloded a picture then I used this line of code:
curl -X POST https://thomasdelteil.github.io/FacialEmotionRecognition_MXNet/ -T 29d274f30664160929c795b4fa74e568.jpg
is the server running currently?
I like this application and I think you should try it too. https://xvo.ch/weather/
Hey i have trained the model and it is working well but now i want to test it with my image and for that i need the numpy array to feed into the model can you please help me guide how do i do the preprocessing and get the expected image numpy
[ES6502350001110169684222]
Shared from the Amazon Alexa app
*#0228#
Battery status (ADC RSSI reading)
#12580369#
to check software and hardware information.
Let’s listen and choose the music together in real time.
https://spotify.link/TzgoNwJ3JKb
*#1234#
to check software version of phone.
Here's my install link for Raid: Shadow Legends. Get it through this link and both of us will get some free stuff to boost us along! https://link.plrm.zone/app/n26wz
I don't clearly understand the mean of "save the trained model as symbols and params."
I tried to add code "net.save_parameters(filename)", but it showed Error.
like a Confusion matrix
What type of data normalization you applied for data?
Could you give me mean and std of the dataset?
I use python utils/process_data.py -d ./data to generate numpy, but I found there are some numbers >1 in image.npy, I am wonder that how can I convert it to int array, just multiply 255?
Can you share the pre-trained model files ?
Can you please tell me what the accuracy of you CNN?
*#1234#
to check software version of phone.
Authors of the original paper use learning rate of 0.05 in their CNTK implementation. Was there a particular reason you used 0.025 instead?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.