nickmitchko

package com.nmitchko.storage.Candles;

import com.nmitchko.storage.Candle;
import com.nmitchko.storage.Candles.enums.CandleDirection;
import com.nmitchko.storage.Candles.enums.CandlePeriod;
import com.nmitchko.storage.Candles.enums.CandleType;
import org.ta4j.core.Bar;

import java.sql.Timestamp;

nickmitchko

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 

nickmitchko

import dlib
import numpy
from skimage import io as ImageIO
from skimage.color import rgb2gray
from skimage.transform import resize
from scipy.ndimage import gaussian_filter


def extract_faces(filename, face_detector, face_size=100, padding=25, blur=True):
    img = gaussian_filter(ImageIO.imread(filename), sigma=1) if blur else ImageIO.imread(filename)

nickmitchko

network = NeuralNet(
            layers=[('input', layers.InputLayer),
                    ('conv2d1', layers.Conv2DLayer),
                    ('maxpool1', layers.MaxPool2DLayer),
                    ('conv2d2', layers.Conv2DLayer),
                    ('maxpool2', layers.MaxPool2DLayer),
                    ('dropout1', layers.DropoutLayer),
                    ('dense', layers.DenseLayer),
                    ('dropout2', layers.DropoutLayer),
                    ('output', layers.DenseLayer),

nickmitchko

/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