Tensor Flow to create a useless images

In [1]:

    

import numpy as np
import tensorflow as tf


    

In [2]:

    

%matplotlib notebook
import matplotlib
import matplotlib.pyplot as plt

from IPython.display import Image


    

In [3]:

    

def write_png(tensor, name):
    casted_to_uint8 = tf.cast(tensor, tf.uint8)
    converted_to_png = tf.image.encode_png(casted_to_uint8)
    f = open(name, "wb+")
    f.write(converted_to_png.eval())
    f.close()


    

In [4]:

    

class CostTrace:
    """A simple example class"""
    def __init__(self):
        self.cost_array = []
    def log(self, cost):
        self.cost_array.append(cost)
    def draw(self):
        plt.figure(figsize=(12,5))
        plt.plot(range(len(self.cost_array)), self.cost_array, label='cost')
        plt.legend()
        plt.yscale('log')
        plt.show()


    

In [5]:

    

# Init size
width = 100
height = 100
RGB = 3
shape = [height,width, RGB]

# Create the generated tensor as a variable
rand_uniform = tf.random_uniform(shape, minval=0, maxval=255, dtype=tf.float32)
generated = tf.Variable(rand_uniform)

#define the cost function
c_mean = tf.reduce_mean(tf.pow(generated,2)) # we want a low mean
c_max = tf.reduce_max(generated) # we want a low max
c_min = -tf.reduce_min(generated) # we want a high mix

c_diff = 0
for i in range(0,height-1, 1):
    line1 = tf.gather(generated, i,)
    line2 = tf.gather(generated, i+1)
    c_diff += tf.reduce_mean(tf.pow(line1-line2-30, 2)) # to force a gradient


cost = c_mean + c_max + c_min + c_diff
#cost = c_mean + c_diff
print ('cost defined')

train_op = tf.train.GradientDescentOptimizer(0.5).minimize(cost, var_list=[generated])
print ('train_op defined')

# Initializing the variables
init = tf.initialize_all_variables()
print ('variables initialiazed defined')    

# Launch the graph
with tf.Session() as sess:
    sess.run(init)
    print ('init done')
    cost_trace = CostTrace()
    for epoch in range(0,10000):
        sess.run(train_op)
        if (epoch % 100 == 0):
            c = cost.eval()
            print ('epoch', epoch,'cost' ,c, c_mean.eval(), c_min.eval(), c_max.eval(), c_diff.eval())
            cost_trace.log(c)
            write_png(generated, "generated{:06}.png".format(epoch))
print ('all done')


    

    




cost defined
train_op defined
variables initialiazed defined
init done
('epoch', 0, 'cost', 1150368.8, 21663.955, -0.36533859, 254.74608, 1128450.4)
('epoch', 100, 'cost', 291412.19, 18368.645, -15.115782, 237.85574, 272820.81)
('epoch', 200, 'cost', 165056.8, 17544.734, -21.837952, 232.34003, 147301.56)
('epoch', 300, 'cost', 134189.97, 17152.645, -26.307716, 228.55885, 116835.08)
('epoch', 400, 'cost', 122183.33, 16887.836, -28.327135, 226.68208, 105097.13)
('epoch', 500, 'cost', 115945.95, 16679.002, -29.263021, 225.22833, 99070.977)
('epoch', 600, 'cost', 112126.48, 16501.117, -29.578547, 224.43327, 95430.516)
('epoch', 700, 'cost', 109534.09, 16342.718, -29.32696, 223.73236, 92996.969)
('epoch', 800, 'cost', 107644.77, 16197.697, -28.789602, 223.4454, 91252.414)
('epoch', 900, 'cost', 106192.88, 16062.438, -28.001347, 223.4292, 89935.016)
('epoch', 1000, 'cost', 105030.01, 15934.678, -27.431665, 223.69884, 88899.062)
('epoch', 1100, 'cost', 104067.64, 15812.794, -26.621958, 223.99297, 88057.477)
('epoch', 1200, 'cost', 103249.95, 15695.761, -25.695034, 224.54492, 87355.336)
('epoch', 1300, 'cost', 102539.81, 15582.763, -24.61548, 225.11725, 86756.547)
('epoch', 1400, 'cost', 101911.8, 15473.235, -23.434679, 225.69951, 86236.297)
('epoch', 1500, 'cost', 101347.98, 15366.707, -22.166765, 226.27254, 85777.164)
('epoch', 1600, 'cost', 100835.41, 15262.867, -20.806252, 226.86876, 85366.484)
('epoch', 1700, 'cost', 100364.26, 15161.412, -19.512392, 227.43944, 84994.922)
('epoch', 1800, 'cost', 99927.562, 15062.138, -18.11471, 228.08459, 84655.453)
('epoch', 1900, 'cost', 99519.438, 14964.866, -16.761795, 228.65022, 84342.68)
('epoch', 2000, 'cost', 99135.828, 14869.39, -15.369679, 229.35928, 84052.445)
('epoch', 2100, 'cost', 98772.875, 14775.653, -13.963433, 229.97066, 83781.211)
('epoch', 2200, 'cost', 98428.086, 14683.482, -12.628812, 230.67967, 83526.555)
('epoch', 2300, 'cost', 98099.062, 14592.864, -11.253049, 231.3035, 83286.148)
('epoch', 2400, 'cost', 97783.914, 14503.649, -9.8661451, 231.93494, 83058.195)
('epoch', 2500, 'cost', 97481.211, 14415.811, -8.4812927, 232.56212, 82841.32)
('epoch', 2600, 'cost', 97189.602, 14329.222, -7.0530643, 233.19951, 82634.234)
('epoch', 2700, 'cost', 96907.992, 14243.912, -5.7030582, 233.83554, 82435.945)
('epoch', 2800, 'cost', 96635.531, 14159.778, -4.2642684, 234.52971, 82245.484)
('epoch', 2900, 'cost', 96371.211, 14076.809, -2.92928, 235.12628, 82062.203)
('epoch', 3000, 'cost', 96114.656, 13994.944, -1.4982566, 235.75494, 81885.453)
('epoch', 3100, 'cost', 95864.828, 13914.136, -0.17798696, 236.37154, 81714.5)
('epoch', 3200, 'cost', 95621.57, 13834.363, 1.1879566, 236.96432, 81549.055)
('epoch', 3300, 'cost', 95384.234, 13755.629, 2.4913745, 237.55823, 81388.555)
('epoch', 3400, 'cost', 95152.531, 13677.86, 3.8178, 238.15701, 81232.695)
('epoch', 3500, 'cost', 94925.984, 13601.029, 5.1785798, 238.6418, 81081.133)
('epoch', 3600, 'cost', 94704.375, 13525.165, 6.4782324, 239.21033, 80933.523)
('epoch', 3700, 'cost', 94487.414, 13450.181, 7.790905, 239.75046, 80789.695)
('epoch', 3800, 'cost', 94274.766, 13376.086, 9.1006842, 240.30164, 80649.273)
('epoch', 3900, 'cost', 94066.234, 13302.894, 10.426006, 240.79126, 80512.125)
('epoch', 4000, 'cost', 93861.594, 13230.516, 11.669244, 241.33521, 80378.078)
('epoch', 4100, 'cost', 93660.703, 13159.001, 12.914554, 241.8109, 80246.977)
('epoch', 4200, 'cost', 93463.383, 13088.286, 14.186662, 242.35774, 80118.555)
('epoch', 4300, 'cost', 93269.344, 13018.374, 15.437316, 242.79968, 79992.734)
('epoch', 4400, 'cost', 93078.641, 12949.28, 16.719786, 243.28366, 79869.359)
('epoch', 4500, 'cost', 92890.953, 12880.897, 17.932627, 243.74199, 79748.383)
('epoch', 4600, 'cost', 92706.297, 12813.32, 19.186958, 244.16904, 79629.625)
('epoch', 4700, 'cost', 92524.406, 12746.473, 20.385881, 244.60582, 79512.945)
('epoch', 4800, 'cost', 92345.461, 12680.382, 21.612112, 245.06868, 79398.398)
('epoch', 4900, 'cost', 92169.031, 12615.004, 22.822504, 245.50629, 79285.703)
('epoch', 5000, 'cost', 91995.211, 12550.343, 24.020807, 245.93062, 79174.914)
('epoch', 5100, 'cost', 91823.812, 12486.374, 25.223736, 246.30487, 79065.906)
('epoch', 5200, 'cost', 91654.852, 12423.097, 26.355972, 246.74725, 78958.648)
('epoch', 5300, 'cost', 91488.156, 12360.511, 27.509201, 247.15604, 78852.984)
('epoch', 5400, 'cost', 91323.75, 12298.599, 28.68071, 247.52623, 78748.945)
('epoch', 5500, 'cost', 91161.539, 12237.346, 29.862875, 247.90227, 78646.43)
('epoch', 5600, 'cost', 91001.422, 12176.73, 30.978376, 248.33514, 78545.375)
('epoch', 5700, 'cost', 90843.352, 12116.776, 32.122364, 248.69653, 78445.758)
('epoch', 5800, 'cost', 90687.352, 12057.466, 33.204342, 249.12915, 78347.555)
('epoch', 5900, 'cost', 90533.219, 11998.775, 34.329216, 249.48636, 78250.625)
('epoch', 6000, 'cost', 90381.062, 11940.698, 35.441059, 249.88995, 78155.031)
('epoch', 6100, 'cost', 90230.695, 11883.233, 36.530693, 250.26273, 78060.672)
('epoch', 6200, 'cost', 90082.18, 11826.368, 37.653908, 250.65392, 77967.5)
('epoch', 6300, 'cost', 89935.32, 11770.112, 38.722553, 250.97285, 77875.516)
('epoch', 6400, 'cost', 89790.328, 11714.453, 39.796543, 251.37904, 77784.695)
('epoch', 6500, 'cost', 89646.945, 11659.339, 40.885002, 251.7234, 77695.0)
('epoch', 6600, 'cost', 89505.258, 11604.822, 41.961563, 252.09854, 77606.375)
('epoch', 6700, 'cost', 89365.125, 11550.89, 43.039661, 252.41971, 77518.773)
('epoch', 6800, 'cost', 89226.586, 11497.508, 44.096024, 252.78455, 77432.195)
('epoch', 6900, 'cost', 89089.578, 11444.661, 45.125507, 253.13783, 77346.656)
('epoch', 7000, 'cost', 88954.094, 11392.401, 46.201717, 253.4518, 77262.039)
('epoch', 7100, 'cost', 88820.094, 11340.646, 47.23938, 253.80269, 77178.406)
('epoch', 7200, 'cost', 88687.5, 11289.444, 48.270275, 254.09996, 77095.688)
('epoch', 7300, 'cost', 88556.398, 11238.786, 49.315536, 254.42761, 77013.867)
('epoch', 7400, 'cost', 88426.695, 11188.644, 50.361012, 254.761, 76932.93)
('epoch', 7500, 'cost', 88298.352, 11139.019, 51.400085, 255.1208, 76852.812)
('epoch', 7600, 'cost', 88171.258, 11089.895, 52.403118, 255.40544, 76773.555)
('epoch', 7700, 'cost', 88045.672, 11041.315, 53.429661, 255.72946, 76695.195)
('epoch', 7800, 'cost', 87921.234, 10993.184, 54.435051, 256.06729, 76617.547)
('epoch', 7900, 'cost', 87798.086, 10945.581, 55.444424, 256.35687, 76540.703)
('epoch', 8000, 'cost', 87676.242, 10898.464, 56.446461, 256.65323, 76464.68)
('epoch', 8100, 'cost', 87555.57, 10851.83, 57.454063, 256.93497, 76389.352)
('epoch', 8200, 'cost', 87436.156, 10805.672, 58.429543, 257.22189, 76314.836)
('epoch', 8300, 'cost', 87317.938, 10760.015, 59.41996, 257.5426, 76240.961)
('epoch', 8400, 'cost', 87200.844, 10714.818, 60.407455, 257.82193, 76167.797)
('epoch', 8500, 'cost', 87084.938, 10670.084, 61.373646, 258.11633, 76095.359)
('epoch', 8600, 'cost', 86970.164, 10625.795, 62.34409, 258.39481, 76023.633)
('epoch', 8700, 'cost', 86856.484, 10581.974, 63.322372, 258.6683, 75952.523)
('epoch', 8800, 'cost', 86743.953, 10538.612, 64.276237, 258.96649, 75882.094)
('epoch', 8900, 'cost', 86632.453, 10495.704, 65.22052, 259.23248, 75812.297)
('epoch', 9000, 'cost', 86521.984, 10453.218, 66.147057, 259.47098, 75743.148)
('epoch', 9100, 'cost', 86412.648, 10411.215, 67.115868, 259.74188, 75674.578)
('epoch', 9200, 'cost', 86304.328, 10369.585, 68.048515, 260.01822, 75606.672)
('epoch', 9300, 'cost', 86196.992, 10328.423, 68.984116, 260.25369, 75539.328)
('epoch', 9400, 'cost', 86090.711, 10287.69, 69.88681, 260.52335, 75472.609)
('epoch', 9500, 'cost', 85985.414, 10247.357, 70.805756, 260.80508, 75406.445)
('epoch', 9600, 'cost', 85881.016, 10207.435, 71.701012, 261.04126, 75340.836)
('epoch', 9700, 'cost', 85777.719, 10167.975, 72.623077, 261.27631, 75275.844)
('epoch', 9800, 'cost', 85675.312, 10128.883, 73.500504, 261.55905, 75211.367)
('epoch', 9900, 'cost', 85573.766, 10090.204, 74.40509, 261.76913, 75147.391)
all done

In [10]:

    

cost_trace.draw()


    

In [7]:

    

Image("generated000000.png")


    

    
Out[7]:

In [8]:

    

from PIL import Image, ImageSequence
import glob, sys, os
os.chdir(".")
frames = []
for file in glob.glob("gene*.png"):
    print(file)
    im = Image.open(file)
    frames.append(im)

from images2gif import writeGif
writeGif("generated.gif", frames, duration=0.1)


    

    




generated000000.png
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generated009900.png






    




images2gif.py:325: VisibleDeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future
  im2 = im[y0:y1,x0:x1]