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Functions68 in github.com/MLEnthusiast/MHCLN

↓ 4 callersFunctionuniform
(stdev, size)
tflib/ops/linear.py:39
↓ 2 callersFunctionLeakyReLU
(x, alpha=0.2)
UCMD/trainer.py:73
↓ 2 callersFunctionLeakyReLU
(x, alpha=0.2)
AID/trainer.py:67
↓ 2 callersFunctionget_mAP
(neghbours_list, nrof_neighbors)
UCMD/eval.py:64
↓ 2 callersFunctionget_mAP
(neghbours_list, nrof_neighbors)
AID/eval.py:64
↓ 2 callersFunctionuniform
(stdev, size)
tflib/ops/deconv2d.py:41
↓ 2 callersFunctionuniform
(stdev, size)
tflib/ops/conv2d.py:55
↓ 1 callersFunction_fused_batch_norm_training
()
tflib/ops/batchnorm.py:29
↓ 1 callersFunctioncreate_graph
Creates a graph from saved GraphDef file and returns a saver.
UCMD/extract_features.py:25
↓ 1 callersFunctioncreate_graph
Creates a graph from saved GraphDef file and returns a saver.
AID/extract_features.py:25
↓ 1 callersFunctioneval
(self)
UCMD/eval.py:136
↓ 1 callersFunctioneval
(self)
AID/eval.py:135
↓ 1 callersFunctionextract_feature
(image_filename)
UCMD/extract_features.py:35
↓ 1 callersFunctionextract_feature
(image_filename)
AID/extract_features.py:35
↓ 1 callersFunctiongenerate_test_train_set
(root_rgb)
UCMD/extract_features.py:46
↓ 1 callersFunctiongenerate_test_train_set
(root_rgb)
AID/extract_features.py:47
↓ 1 callersFunctiongenerate_train_test_set
(self)
UCMD/dataset_generator.py:12
↓ 1 callersFunctiongenerate_train_test_set
(self)
AID/dataset_generator.py:12
↓ 1 callersFunctionget_k_hamming_neighbours
(nrof_neighbors, enc_test, test_img, test_lab, index)
UCMD/eval.py:38
↓ 1 callersFunctionget_k_hamming_neighbours
(nrof_neighbors, enc_test, test_img, test_lab, index)
AID/eval.py:37
↓ 1 callersFunctionget_triplets
(training_samples, training_labels, nrof_classes, nrof_items_per_class)
UCMD/trainer.py:48
↓ 1 callersFunctionget_triplets
(training_samples, training_labels, nrof_classes, nrof_items_per_class)
AID/trainer.py:42
↓ 1 callersFunctionhamming_distance
(instance1, instance2)
UCMD/eval.py:35
↓ 1 callersFunctionhamming_distance
(instance1, instance2)
AID/eval.py:34
↓ 1 callersFunctionmain_graph
(self)
UCMD/extract_features.py:108
↓ 1 callersFunctionmain_graph
(self)
AID/extract_features.py:110
↓ 1 callersFunctionmain_network
(inputs)
UCMD/trainer.py:76
↓ 1 callersFunctionmain_network
(inputs)
AID/trainer.py:70
↓ 1 callersFunctionplot_or_save_singlelabel_images
(_neighbours, filename='')
UCMD/eval.py:80
↓ 1 callersFunctionplot_or_save_singlelabel_images
(_neighbours, filename='')
AID/eval.py:79
↓ 1 callersFunctionsample
(shape)
tflib/ops/linear.py:80
↓ 1 callersFunctiontrain
(self)
UCMD/trainer.py:106
↓ 1 callersFunctiontrain
(self)
AID/trainer.py:100
↓ 1 callersFunctiontriplet_loss
(embeddings_0, anchor, positive, negative, alpha)
UCMD/trainer.py:87
↓ 1 callersFunctiontriplet_loss
(embeddings_0, anchor, positive, negative, alpha)
AID/trainer.py:82
↓ 1 callersFunctionuniform
(stdev, size)
tflib/ops/conv1d.py:44
FunctionBatchnorm
conditional batchnorm (dumoulin et al 2016) for BCHW conv filtermaps
tflib/ops/cond_batchnorm.py:6
FunctionBatchnorm
(name, axes, inputs, is_training=None, stats_iter=None, update_moving_stats=True, fused=True)
tflib/ops/batchnorm.py:6
FunctionConv1D
inputs: tensor of shape (batch size, num channels, width) mask_type: one of None, 'a', 'b' returns: tensor of shape (batch size, num cha
tflib/ops/conv1d.py:11
FunctionConv2D
inputs: tensor of shape (batch size, num channels, height, width) mask_type: one of None, 'a', 'b' returns: tensor of shape (batch size,
tflib/ops/conv2d.py:20
FunctionDeconv2D
inputs: tensor of shape (batch size, height, width, input_dim) returns: tensor of shape (batch size, 2*height, 2*width, output_dim)
tflib/ops/deconv2d.py:20
FunctionLayernorm
(name, norm_axes, inputs)
tflib/ops/layernorm.py:6
FunctionLinear
initialization: None, `lecun`, 'glorot', `he`, 'glorot_he', `orthogonal`, `("uniform", range)`
tflib/ops/linear.py:24
Function_force_updates
Internal function forces updates moving_vars if is_training.
tflib/ops/batchnorm.py:59
Function_fused_batch_norm_inference
()
tflib/ops/batchnorm.py:31
Functionalias_params
(replace_dict)
tflib/__init__.py:42
Functiondelete_all_params
()
tflib/__init__.py:39
Functiondelete_param_aliases
()
tflib/__init__.py:47
Functiondisable_default_weightnorm
()
tflib/ops/linear.py:11
Functionenable_default_weightnorm
()
tflib/ops/conv1d.py:7
Functionenable_default_weightnorm
()
tflib/ops/linear.py:7
Functionenable_default_weightnorm
()
tflib/ops/deconv2d.py:7
Functionenable_default_weightnorm
()
tflib/ops/conv2d.py:7
Functionflush
()
tflib/plot.py:21
Functionparam
A wrapper for `tf.Variable` which enables parameter sharing in models. Creates and returns theano shared variables similarly to `tf.Vari
tflib/__init__.py:10
Functionparams_with_name
(name)
tflib/__init__.py:36
Functionplot
(name, value)
tflib/plot.py:18
Functionprint_model_settings
(locals_)
tflib/__init__.py:101
Functionprint_model_settings_dict
(settings)
tflib/__init__.py:109
Functionset_weights_stdev
(weights_stdev)
tflib/ops/linear.py:16
Functionset_weights_stdev
(weights_stdev)
tflib/ops/deconv2d.py:12
Functionset_weights_stdev
(weights_stdev)
tflib/ops/conv2d.py:12
Functiontick
()
tflib/plot.py:15
Functiontop_k_accuracy
(neghbours_list, nrof_neighbors)
UCMD/eval.py:53
Functiontop_k_accuracy
(neghbours_list, nrof_neighbors)
AID/eval.py:53
Functionunset_weights_stdev
()
tflib/ops/linear.py:20
Functionunset_weights_stdev
()
tflib/ops/deconv2d.py:16
Functionunset_weights_stdev
()
tflib/ops/conv2d.py:16