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github.com/Engineering-Course/LIP_JPPNet
/ functions
Functions
171 in github.com/Engineering-Course/LIP_JPPNet
⨍
Functions
171
◇
Types & classes
86
Method
__contains__
(self, key)
kaffe/graph.py:113
Method
__init__
Initialise an ImageReader. Args: data_dir: path to the directory with images and masks. data_list: path to the fi
utils/lip_reader.py:234
Method
__init__
Initialise an ImageReader. Args: data_dir: path to the directory with images and masks. data_list: path to the fi
utils/image_reader.py:126
Method
__init__
(self, layer, kind)
kaffe/layers.py:105
Method
__init__
(self, name, kind, layer=None)
kaffe/graph.py:10
Method
__init__
(self, nodes=None, name=None)
kaffe/graph.py:53
Method
__init__
def_path: Path to the model definition (.prototxt) data_path: Path to the model data (.caffemodel) phase: Either 'test' or 't
kaffe/graph.py:132
Method
__init__
(self, graph)
kaffe/graph.py:261
Method
__init__
(self, def_path, data_path)
kaffe/transformers.py:19
Method
__init__
(self, mapping, replace=True)
kaffe/transformers.py:94
Method
__init__
(self, allowed_parent_types=None)
kaffe/transformers.py:196
Method
__init__
(self, renamer)
kaffe/transformers.py:259
Method
__init__
(self)
kaffe/caffe/resolver.py:6
Method
__init__
(self, inputs, trainable=True, is_training=False, n_classes=20)
kaffe/tensorflow/network.py:35
Method
__init__
(self, op, *args, **kwargs)
kaffe/tensorflow/transformer.py:35
Method
__init__
(self, node, default=True)
kaffe/tensorflow/transformer.py:68
Method
__init__
(self, tab=None)
kaffe/tensorflow/transformer.py:167
Method
__init__
(self, def_path, data_path, verbose=True, phase='test')
kaffe/tensorflow/transformer.py:218
Method
__repr__
(self)
kaffe/graph.py:47
Method
__str__
(self)
kaffe/graph.py:44
Method
__str__
(self)
kaffe/graph.py:116
Method
add_node
(self, node)
kaffe/graph.py:58
Method
avg_pool
(self, input, k_h, k_w, s_h, s_w, name, padding=DEFAULT_PADDING)
kaffe/tensorflow/network.py:204
Method
commit
(self, chains)
kaffe/tensorflow/transformer.py:161
Method
dequeue
Pack images and labels into a batch. Args: num_elements: the batch size. Returns: Two tensors
utils/image_reader.py:149
Method
dropout
(self, input, keep_prob, name)
kaffe/tensorflow/network.py:273
Method
fc
(self, input, num_out, name, relu=True)
kaffe/tensorflow/network.py:230
Method
get_output
Returns the current network output.
kaffe/tensorflow/network.py:86
Method
get_output_nodes
(self)
kaffe/graph.py:71
Function
image_mirroring
Randomly mirrors the images. Args: img: Training image to mirror. label: Segmentation mask to mirror.
utils/image_reader.py:28
Function
image_scaling
Randomly scales the images between 0.5 to 1.5 times the original size. Args: img: Training image to scale. label: Segmentation m
utils/lip_reader.py:11
Function
image_scaling
Randomly scales the images between 0.5 to 1.5 times the original size. Args: img: Training image to scale. label: Segmentation m
utils/image_reader.py:9
Function
inv_preprocess
Inverse preprocessing of the batch of images. Add the mean vector and convert from BGR to RGB. Args: imgs: batch of input images. n
utils/utils.py:65
Method
is_eligible_pair
(self, parent, child)
kaffe/transformers.py:201
Method
is_eligible_pair
(self, parent, child)
kaffe/transformers.py:219
Method
kernel_parameters
(self)
kaffe/layers.py:136
Function
layer
Decorator for composable network layers.
kaffe/tensorflow/network.py:8
Function
layer_decorated
(self, *args, **kwargs)
kaffe/tensorflow/network.py:11
Function
linear
(input_, output, name, stddev=0.02, bias_start=0.0)
utils/ops.py:26
Method
load
Load network weights. data_path: The path to the numpy-serialized network weights session: The current TensorFlow session igno
kaffe/tensorflow/network.py:54
Method
lrn
(self, input, radius, alpha, beta, name, bias=1.0)
kaffe/tensorflow/network.py:213
Method
map_batch_norm
(self, node)
kaffe/tensorflow/transformer.py:148
Method
map_concat
(self, node)
kaffe/tensorflow/transformer.py:141
Method
map_convolution
(self, node)
kaffe/tensorflow/transformer.py:88
Method
map_dropout
(self, node)
kaffe/tensorflow/transformer.py:145
Method
map_eltwise
(self, node)
kaffe/tensorflow/transformer.py:153
Method
map_inner_product
(self, node)
kaffe/tensorflow/transformer.py:120
Method
map_lrn
(self, node)
kaffe/tensorflow/transformer.py:130
Method
map_pooling
(self, node)
kaffe/tensorflow/transformer.py:107
Method
map_relu
(self, node)
kaffe/tensorflow/transformer.py:104
Method
map_softmax
(self, node)
kaffe/tensorflow/transformer.py:127
Function
max_pool
(input_, kernel, stride, name)
utils/ops.py:23
Method
merge
(self, parent, child)
kaffe/transformers.py:223
Method
outdent
(self)
kaffe/tensorflow/transformer.py:174
Method
parameters
(self)
kaffe/layers.py:110
Method
parameters
(self)
kaffe/graph.py:39
Function
random_crop_and_pad_image_and_labels
Randomly crop and pads the input images. Args: image: Training image to crop/ pad. label: Segmentation mask to crop/ pad.
utils/image_reader.py:44
Method
setup
Network definition. Args: is_training: whether to update the running mean and variance of the batch normalisation layer.
utils/model.py:10
Function
shape_concat
(node)
kaffe/shapes.py:62
Function
shape_convolution
(node)
kaffe/shapes.py:73
Function
shape_data
(node)
kaffe/shapes.py:39
Function
shape_identity
(node)
kaffe/shapes.py:30
Function
shape_inner_product
(node)
kaffe/shapes.py:81
Function
shape_mem_data
(node)
kaffe/shapes.py:57
Function
shape_not_implemented
(node)
kaffe/shapes.py:26
Function
shape_pool
(node)
kaffe/shapes.py:77
Function
shape_scalar
(node)
kaffe/shapes.py:35
Method
softmax
(self, input, name)
kaffe/tensorflow/network.py:248
Method
transform_data
(self)
kaffe/tensorflow/transformer.py:256
Method
transform_source
(self)
kaffe/tensorflow/transformer.py:279
Method
visit
(node)
kaffe/graph.py:80
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101–171 of 171, ranked by callers