Comments (2)
@manthanSoriya I think this is problem in the built in algorithm of face detection. The algorithm of open CV is not so good. when that algo did not detect image an error is shown in training .. :)
from emotion-recognition-neural-networks.
The comment of @NomiMalik0207 is correct. When OpenCV can't find a face I just skip it. Also the quality of the dataset is not perfect.
from emotion-recognition-neural-networks.
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
- 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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