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私はここに、間違っているかを把握しようとしているTensorflowを使用してV4、そして時間後にスリムインセプションの特徴を抽出したいI.はTensorflow SLIM：特徴抽出
NB_FEATURES_v4 = 1536
IMAGE_SIZE = inception.inception_v4.default_image_size
CHANNELS = 3
def create_graph_v4(model_ckpt):
input_image = tf.placeholder(tf.float32, shape=(None, None, CHANNELS))
processed_image = inception_preprocessing.preprocess_image(input_image, IMAGE_SIZE, IMAGE_SIZE, is_training=False)
processed_images = tf.expand_dims(processed_image, 0)
with slim.arg_scope(inception.inception_v4_arg_scope()):
logits, _ = inception.inception_v4(processed_images, is_training=False)
init_fn = slim.assign_from_checkpoint_fn(
model_ckpt,
slim.get_model_variables('InceptionV4'))
return input_image
def get_properties_v4(paths, model_ckpt):
input_image = create_graph_v4(model_ckpt)
features = np.empty((len(paths), 1536))
with tf.Session() as sess:
next_to_last_tensor = sess.graph.get_tensor_by_name('InceptionV4/Logits/PreLogitsFlatten/Reshape:0')
for ind, image in enumerate(paths):
if ind % 100 == 0:
print('Processing %s...' % (image))
image_file = Image.open(image)
predictions = sess.run(next_to_last_tensor,
feed_dict={input_image: image_file})
features[ind, :] = np.squeeze(predictions)
return features
model_ckpt = 'inception_v4.ckpt'
paths = ['A.jpg',
'B.jpg']
features = get_properties_v4(paths, model_ckpt)
だ、私は次のエラーを取得：
をFailedPreconditionError: Attempting to use uninitialized value InceptionV4/Conv2d_1a_3x3/weights
[[Node: InceptionV4/Conv2d_1a_3x3/weights/read = Identity[T=DT_FLOAT, _class=["loc:@InceptionV4/Conv2d_1a_3x3/weights"], _device="/job:localhost/replica:0/task:0/gpu:0"](InceptionV4/Conv2d_1a_3x3/weights)]]
[[Node: InceptionV4/Logits/PreLogitsFlatten/Reshape/_15 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_2794_InceptionV4/Logits/PreLogitsFlatten/Reshape", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
コードを関数に含まない場合、すべてが機能しているようです。誰かが私がここで間違っていることを見ることができますか？
ありがとうございます！