Created
November 14, 2016 02:27
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nicholai@nicholai-desktop $> python3 train.py --verbose | |
/usr/bin/python3.5 /media/nicholai/AEEE-B5B7/School/F16/ComputerVision/Final/Neural-Emotion/adaptiveTraining.py | |
Using gpu device 0: GeForce GTX 1070 (CNMeM is enabled with initial size: 85.0% of memory, cuDNN 5105) | |
/home/nicholai/.local/lib/python3.5/site-packages/theano/sandbox/cuda/__init__.py:600: UserWarning: Your cuDNN version is more recent than the one Theano officially supports. If you see any problems, try updating Theano or downgrading cuDNN to version 5. | |
warnings.warn(warn) | |
/home/nicholai/.local/lib/python3.5/site-packages/theano/tensor/signal/downsample.py:6: UserWarning: downsample module has been moved to the theano.tensor.signal.pool module. | |
"downsample module has been moved to the theano.tensor.signal.pool module.") | |
/home/nicholai/.local/lib/python3.5/site-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20. | |
"This module will be removed in 0.20.", DeprecationWarning) | |
Explanation | |
X, Y: image dimensions | |
cap.: learning capacity | |
cov.: coverage of image | |
magenta: capacity too low (<1/6) | |
cyan: image coverage too high (>100%) | |
red: capacity too low and coverage too high | |
epoch trn loss val loss trn/val valid acc dur | |
------- ---------- ---------- --------- ----------- ------ | |
1 1.99494 1.96853 1.01341 0.21716 34.52s | |
2 1.93688 1.90371 1.01742 0.22635 34.42s | |
3 1.84026 1.85201 0.99365 0.22635 34.15s | |
... | |
500 1.84026 1.85201 0.99365 0.22635 34.15s | |
Parameters Saved. | |
nicholai@nicholai-desktop $> python3 predict.py --verbose happy.jpg | |
Loaded Image happy.jpg (filesize: 480x640) | |
Converted To Grayscale | |
Extracted Face Location: Top Left => 176x142 , Bottom Right 391x407 | |
Rescaling Face: Size (1x196x196) | |
Predicting Image: Done! | |
Emotion: Anger |
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