In [1]:
import os
import tensorflow as tf
import tensorflow.python.platform
from tensorflow.python.platform import gfile
import numpy as np
import glob

classes = np.array(['ayam_bakar', 'ayam_crispy', 'bakso', 'gado2', 'ikan_bakar', 'mie_goreng', 'nasi_goreng', 'pecel_lele', 'pizza', 'rendang', 'sate', 'soto', 'sushi'])
num_classes = len(classes)
num_features = 2048

In [2]:
def create_graph(model_path):
    """
    create_graph loads the inception model to memory, should be called before
    calling extract_features.
 
    model_path: path to inception model in protobuf form.
    """
    with gfile.FastGFile(model_path, 'rb') as f:
        graph_def = tf.GraphDef()
        graph_def.ParseFromString(f.read())
        _ = tf.import_graph_def(graph_def, name='')

In [3]:
def extract_features(image_path, verbose=False):
    """
    extract_features computed the inception bottleneck feature for a list of images
 
    image_paths: array of image path
    return: 2-d array in the shape of (len(image_paths), 2048)
    """
    features = []
    cls = []
    
    with tf.Session() as sess:
        flattened_tensor = sess.graph.get_tensor_by_name('pool_3:0')
 
        image_data = gfile.FastGFile(image_path, 'rb').read()
        feature = sess.run(flattened_tensor, {
            'DecodeJpeg/contents:0': image_data
        })       
                
    return feature

In [4]:
# create graph
path = 'inception_dec_2015/tensorflow_inception_graph.pb'
create_graph(path)


---------------------------------------------------------------------------
DecodeError                               Traceback (most recent call last)
<ipython-input-4-1f0f9e9abc4b> in <module>()
      1 # create graph
      2 path = 'inception_dec_2015/tensorflow_inception_graph.pb'
----> 3 create_graph(path)

<ipython-input-2-92bdec2c8073> in create_graph(model_path)
      8     with gfile.FastGFile(model_path, 'rb') as f:
      9         graph_def = tf.GraphDef()
---> 10         graph_def.ParseFromString(f.read())
     11         _ = tf.import_graph_def(graph_def, name='')

DecodeError: Error parsing message

In [5]:
def new_weights(shape):
    return tf.Variable(tf.truncated_normal(shape, stddev=0.05))
def new_biases(length):
    return tf.Variable(tf.constant(0.05, shape=[length]))

def new_fc_layer(input,          # The previous layer.
                 num_inputs,     # Num. inputs from prev. layer.
                 num_outputs,    # Num. outputs.
                 use_relu=True): # Use Rectified Linear Unit (ReLU)?

    # Create new weights and biases.
    weights = new_weights(shape=[num_inputs, num_outputs])
    biases = new_biases(length=num_outputs)

    # Calculate the layer as the matrix multiplication of
    # the input and weights, and then add the bias-values.
    layer = tf.matmul(input, weights) + biases

    # Use ReLU?
    if use_relu:
        layer = tf.nn.relu(layer)

    return layer

feature_size_flat = num_features
x = tf.placeholder(tf.float32, shape=[None, feature_size_flat], name='x')
y_true = tf.placeholder(tf.float32, shape=[None, num_classes], name='y_true')
y_true_cls = tf.argmax(y_true, dimension=1)


layer_fc1 = new_fc_layer(input= x,
                         num_inputs=num_features,
                         num_outputs=1000,
                         use_relu=True)
layer_fc2 = new_fc_layer(input=layer_fc1,
                         num_inputs=1000,
                         num_outputs=num_classes,
                         use_relu=False)
y_pred = tf.nn.softmax(layer_fc2)
y_pred_cls = tf.argmax(y_pred, dimension=1)
cross_entropy = tf.nn.softmax_cross_entropy_with_logits(logits=layer_fc2,
                                                        labels=y_true)
cost = tf.reduce_mean(cross_entropy)
optimizer = tf.train.AdamOptimizer(learning_rate=1e-4).minimize(cost)
correct_prediction = tf.equal(y_pred_cls, y_true_cls)
accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))

In [6]:
session = tf.Session()
save_path = "the_model/food_model"
saver = tf.train.Saver()
saver.restore(sess = session, save_path = save_path)

In [8]:
np.set_printoptions(threshold=np.nan)
image_path = 'wild/53.jpg'

# extracting the features for transfer learning
images = extract_features(image_path, verbose=False)
transfer_values = np.asarray(images)
transfer_values = transfer_values.reshape((1,2048))
print transfer_values[0:2]

feed_dict = {x: transfer_values}
hasil = y_pred_cls.eval(feed_dict, session = session)
ss = classes[hasil]
print ss


[[  2.82602757e-01   6.60805523e-01   3.96574795e-01   4.02175128e-01
    1.89784303e-01   1.26763925e-01   9.45171595e-01   5.05457938e-01
    2.51788020e-01   9.27670121e-01   4.11539078e-02   3.57302487e-01
    4.57631290e-01   1.07413463e-01   1.90581396e-01   1.71642676e-01
    1.56693980e-01   3.33226204e-01   6.18134499e-01   2.93486506e-01
    9.21971351e-02   3.94965619e-01   9.94134247e-02   9.22563732e-01
    5.52944124e-01   7.98728406e-01   1.29954307e-03   4.15661216e-01
    1.16702783e+00   5.67746282e-01   1.45050377e-01   5.20664454e-02
    3.38229269e-01   2.82834738e-01   9.27361012e-01   2.51793057e-01
    1.15045559e+00   2.07086235e-01   2.64842808e-01   7.19907939e-01
    1.90019757e-01   4.49553519e-01   2.37772316e-01   4.34562862e-02
    3.39560986e-01   3.18257183e-01   1.24212168e-01   1.64821893e-01
    3.38979512e-01   1.02993950e-01   2.32567027e-01   2.79192626e-01
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    4.58635807e-01   4.06807125e-01   4.82963532e-01   1.42407537e-01
    1.05271614e+00   5.22474527e-01   1.14496082e-01   1.12937070e-01
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    4.25807476e-01   1.40738308e-01   3.55260521e-01   4.17678475e-01
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    4.51931715e-01   6.92864299e-01   1.93336427e-01   5.13234615e-01
    1.49012297e-01   2.90889829e-01   9.36014354e-02   4.60113257e-01
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    7.71224722e-02   2.20115691e-01   1.02915794e-01   2.64611212e-03
    3.48652184e-01   1.16981611e-01   3.74855071e-01   4.90938604e-01
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    1.30720243e-01   1.01106249e-01   2.29903266e-01   1.84133172e-01
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    4.32075590e-01   2.28743389e-01   1.60908550e-01   4.56355691e-01
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    4.10413831e-01   3.70461673e-01   3.87090594e-02   5.00168681e-01
    9.79923010e-02   0.00000000e+00   1.99078061e-02   2.55859107e-01
    2.08450481e-01   1.62064493e-01   2.19611228e-01   1.44684896e-01
    1.20063514e-01   1.39161795e-01   2.69645691e-01   4.26888257e-01
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['bakso']

In [ ]:
session.close