Comments (8)
I assume validation data should be obtained here http://www.socsci.ru.nl:8180/RaFD2/RaFD.
But data_kike.npy
and labels_kike.npy
are data_set_fer2013.npy
data_labels_fer2013.npy
.
from emotion-recognition-neural-networks.
@atulapra how you fixed your problem?
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@NikAndrush I did not train the model. I used pre-trained weights I found elsewhere.
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@atulapra Does the pre-trained weights work well? It seems not very good in my computer
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@Gaodlike with my pretrained model efficiency is nearly 75-80%
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@atulapra can you send any link? I can't find(
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@innagorda You can find the model files in my repo here.
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Issue solved.
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Related Issues (20)
- Indentation error HOT 1
- License HOT 1
- plot_emotion_matrix.py 'PolyCollection' has no attributes 'get_axes()' HOT 5
- How to run it on juputer notebook? HOT 1
- why my predict always are angry HOT 3
- How to solve the problem about data_set_fer2013.npy etc. HOT 3
- cvs_to_numpy HOT 4
- Help - Dataset Access HOT 2
- No module named constants
- error while parsing dataset HOT 2
- Validating Model HOT 3
- why i can not use Nvidia GPU server for training? Can anybody tell me how to train it on GPU ? because on CPU its very slow. HOT 4
- Error when running cvs_to_numpy.py HOT 2
- emotion result varies between 2 iteration for the same image HOT 2
- ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[18432,3072] HOT 2
- ValueError: Cannot feed value of shape (48, 48, 1) for Tensor u'InputData/X:0', which has shape '(?, 48, 48, 1)'
- Change the readme part for cvs_to_numpy.py
- what do I need to change if need to work only on four emotions??
- Weights
- why the results i had predicted always are ‘fearful’? HOT 1
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