I'm trying to load inception_resnet_v2_2016_08_30.ckpt file and do testing.
The code works well with single image (entering oneFile() function only once).
If I call oneFile() function twice, the following error occur:
ValueError: Variable InceptionResnetV2/Conv2d_1a_3x3/weights already exists, disallowed. Did you mean to set reuse=True in VarScope? Originally defined at:
I found related solution on Sharing Variables
If tf.variable_scope meet the same problem, could call scope.reuse_variables() to resolve this problem.
But I can't find the slim.arg_scope version to reuse the scope.
def oneFile(filepath):
imgPath = filepath
testImage_string = tf.gfile.FastGFile(imgPath, 'rb').read()
testImage = tf.image.decode_jpeg(testImage_string, channels=3)
processed_image = inception_preprocessing.preprocess_image(testImage, image_size, image_size, is_training=False)
processed_images = tf.expand_dims(processed_image, 0)
# Create the model, use the default arg scope to configure the batch norm parameters.
with slim.arg_scope(inception_resnet_v2_arg_scope()):
#logits, end_points = inception_resnet_v2(images, num_classes = dataset.num_classes, is_training = False)
logits, _ = inception_resnet_v2(processed_images, num_classes=16, is_training=False)
probabilities = tf.nn.softmax(logits)
init_fn = slim.assign_from_checkpoint_fn(
checkpoint_file,
slim.get_model_variables(model_name))
with tf.Session() as sess:
init_fn(sess)
np_image, probabilities = sess.run([processed_images, probabilities])
probabilities = probabilities[0, 0:]
sorted_inds = [i[0] for i in sorted(enumerate(-probabilities), key=lambda x: x[1])]
#print(probabilities)
print(probabilities.argmax(axis=0))
#names = imagenet.create_readable_names_for_imagenet_labels()
#for i in range(15):
# index = sorted_inds[i]
# print((probabilities[index], names[index]))
def main():
for image_file in os.listdir(dataset_dir):
try:
image_type = imghdr.what(os.path.join(dataset_dir, image_file))
if not image_type:
continue
except IsADirectoryError:
continue
#image = Image.open(os.path.join(dataset_dir, image_file))
filepath = os.path.join(dataset_dir, image_file)
oneFile(filepath)
inception_resnet_v2_arg_scope
def inception_resnet_v2_arg_scope(weight_decay=0.00004,
batch_norm_decay=0.9997,
batch_norm_epsilon=0.001):
"""Yields the scope with the default parameters for inception_resnet_v2.
Args:
weight_decay: the weight decay for weights variables.
batch_norm_decay: decay for the moving average of batch_norm momentums.
batch_norm_epsilon: small float added to variance to avoid dividing by zero.
Returns:
a arg_scope with the parameters needed for inception_resnet_v2.
"""
# Set weight_decay for weights in conv2d and fully_connected layers.
with slim.arg_scope([slim.conv2d, slim.fully_connected],
weights_regularizer=slim.l2_regularizer(weight_decay),
biases_regularizer=slim.l2_regularizer(weight_decay)):
batch_norm_params = {
'decay': batch_norm_decay,
'epsilon': batch_norm_epsilon,
}
# Set activation_fn and parameters for batch_norm.
with slim.arg_scope([slim.conv2d], activation_fn=tf.nn.relu,
normalizer_fn=slim.batch_norm,
normalizer_params=batch_norm_params) as scope:
return scope
Complete error message:
./data/test/teeth/1/7070.jpg Traceback (most recent call last): File "testing.py", line 111, in main() File "testing.py", line 106, in main cal(processed_images) File "testing.py", line 67, in cal logits, _ = inception_resnet_v2(processed_images, num_classes=16, is_training=False) File "/notebooks/transfer_learning_tutorial/inception_resnet_v2.py", line 123, in inception_resnet_v2 scope='Conv2d_1a_3x3') File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 181, in func_with_args return func(*args, **current_args) File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/layers/python/layers/layers.py", line 918, in convolution outputs = layer.apply(inputs) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/layers/base.py", line 320, in apply return self.call(inputs, **kwargs) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/layers/base.py", line 286, in call self.build(input_shapes[0]) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/layers/convolutional.py", line 138, in build dtype=self.dtype) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/variable_scope.py", line 1049, in get_variable use_resource=use_resource, custom_getter=custom_getter) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/variable_scope.py", line 948, in get_variable use_resource=use_resource, custom_getter=custom_getter) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/variable_scope.py", line 349, in get_variable validate_shape=validate_shape, use_resource=use_resource) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/variable_scope.py", line 1389, in wrapped_custom_getter *args, **kwargs) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/layers/base.py", line 275, in variable_getter variable_getter=functools.partial(getter, **kwargs)) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/layers/base.py", line 228, in _add_variable trainable=trainable and self.trainable) File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/layers/python/layers/layers.py", line 1334, in layer_variable_getter return _model_variable_getter(getter, *args, **kwargs) File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/layers/python/layers/layers.py", line 1326, in _model_variable_getter custom_getter=getter, use_resource=use_resource) File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 181, in func_with_args return func(*args, **current_args) File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/framework/python/ops/variables.py", line 262, in model_variable use_resource=use_resource) File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 181, in func_with_args return func(*args, **current_args) File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/framework/python/ops/variables.py", line 217, in variable use_resource=use_resource) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/variable_scope.py", line 341, in _true_getter use_resource=use_resource) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/variable_scope.py", line 653, in _get_single_variable name, "".join(traceback.format_list(tb)))) ValueError: Variable InceptionResnetV2/Conv2d_1a_3x3/weights already exists, disallowed. Did you mean to set reuse=True in VarScope? Originally defined at:
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/framework/python/ops/variables.py", line 217, in variable use_resource=use_resource) File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 181, in func_with_args return func(*args, **current_args) File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/framework/python/ops/variables.py", line 262, in model_variable use_resource=use_resource)
