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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
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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
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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]
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What type of data normalization you applied for data?
Could you give me mean and std of the dataset?
like a Confusion matrix
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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 ?
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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.
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?
Can you please tell me what the accuracy of you CNN?
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