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Functions143 in github.com/auroua/InsightFace_TF

⨍ Functions 143◇ Types & classes 23
Method__init__
( self, layer=None, n_units=100, act=tf.identity,
test/multiple_gpu_test/test_tensorlayer.py:54
Method__iter__
(self)
test/benchmark/utils_final.py:28
Method__len__
(self)
test/benchmark/utils_final.py:47
Functionaccuracy
(output, label)
test/benchmark/utils_final.py:125
Functionbottleneck
(inputs, depth, depth_bottleneck, stride, rate=1, scope=None)
nets/L_Resnet_E_IR_GBN.py:106
Functionbottleneck
(inputs, depth, depth_bottleneck, stride, rate=1, scope=None)
nets/resnet.py:104
Functionbottleneck_IR
(inputs, depth, depth_bottleneck, stride, rate=1, w_init=None, scope=None, trainable=None)
nets/L_Resnet_E_IR.py:227
Functionbottleneck_IR
(inputs, depth, depth_bottleneck, stride, rate=1, w_init=None, scope=None, trainable=None)
nets/L_Resnet_E_IR_RBN.py:133
Functionbottleneck_IR
(inputs, depth, depth_bottleneck, stride, rate=1, w_init=None, scope=None, trainable=None)
nets/L_Resnet_E_IR_GBN.py:135
Functionbottleneck_IR
(inputs, depth, depth_bottleneck, stride, rate=1, w_init=None, scope=None, trainable=None)
nets/L_Resnet_E_IR_MGPU.py:55
Functionbottleneck_IR
(inputs, depth, depth_bottleneck, stride, rate=1, w_init=None, scope=None, trainable=None)
nets/L_Resnet_E_IR_fix_issue9.py:227
Functionbottleneck_IR_SE
(inputs, depth, depth_bottleneck, stride, rate=1, w_init=None, scope=None, trainable=None)
nets/L_Resnet_E_IR.py:252
Functionbottleneck_IR_SE
(inputs, depth, depth_bottleneck, stride, rate=1, w_init=None, scope=None, trainable=None)
nets/L_Resnet_E_IR_GBN.py:160
Functionbottleneck_IR_SE
(inputs, depth, depth_bottleneck, stride, rate=1, w_init=None, scope=None, trainable=None)
nets/L_Resnet_E_IR_MGPU.py:80
Functionbottleneck_IR_SE
(inputs, depth, depth_bottleneck, stride, rate=1, w_init=None, scope=None, trainable=None)
nets/L_Resnet_E_IR_fix_issue9.py:252
Functionbottleneck_SE
(inputs, depth, depth_bottleneck, stride, rate=1, scope=None)
nets/resnet.py:133
Functionbottleneck_Xt
(inputs, depth, stride, cardinality, cardinality_dim, rate=1, scope=None)
nets/resnet.py:175
Functioncombine_loss_val
This code is contributed by RogerLo. Thanks for you contribution. :param embedding: the input embedding vectors :param labels: the inpu
losses/face_losses.py:80
Functiondata_iter_consecutive
Sample mini-batches in a consecutive order from sequential data.
test/benchmark/utils_final.py:270
Functiondata_iter_random
Sample mini-batches in a random order from sequential data.
test/benchmark/utils_final.py:247
Methodhybrid_forward
(self, F, x)
test/benchmark/utils_final.py:207
Functionload_data
()
test/multiple_gpu_test/test_mgpu_mnist.py:111
Functionload_data_fashion_mnist
download the fashion mnist dataest and then load into memory
test/benchmark/utils_final.py:51
Functionload_data_mnist
download the fashion mnist dataest and then load into memory
test/benchmark/utils_final.py:73
Methodmean_var_with_update
()
nets/L_Resnet_E_IR.py:162
Methodmean_var_with_update
()
nets/tl_layers_modify.py:166
Methodmean_var_with_update
()
nets/L_Resnet_E_IR_fix_issue9.py:162
Functionmx2tfrecords
(imgidx, imgrec, args)
data/eval_data_reader.py:61
Functionmx2tfrecords
(imgidx, imgrec, args)
data/mx2tfrecords.py:48
Functionmx2tfrecords
(imgidx, imgrec, args)
test/memory_usage_test.py:66
Functionmx2tfrecords_eval_data
Change evaluation data to tfrecords :param args: :param type: lfw, ...... :return:
data/eval_data_reader.py:83
Functionmx2tfrecords_old
(imgidx, imgrec, args)
data/mx2tfrecords.py:26
Functionparse_function
(example_proto)
data/mx2tfrecords.py:65
Functionprelu
()
test/benchmark/gluon_batchsize_test.py:12
Functionresnet18
(num_classes)
test/benchmark/utils_final.py:215
Functionresnetse_v1_block_2
Helper function for creating a resnet_v1 bottleneck block. Args: scope: The scope of the block. base_depth: The depth of the bottleneck lay
nets/L_Resnet_E_IR_GBN.py:265
Functionshow_images
plot a list of images
test/benchmark/utils_final.py:234
Functiontest_cosineface_losses
()
test/test_losses.py:66
Functiontrain
Train a network
test/benchmark/utils_final.py:157
Functiontrain_and_predict_rnn
Train an RNN model and predict the next item in the sequence.
test/benchmark/utils_final.py:322
Functiontransform_mnist
(data, label)
test/benchmark/utils_final.py:54
Functiontry_all_gpus
Return all available GPUs, or [mx.gpu()] if there is no GPU
test/benchmark/utils_final.py:105
Functiontry_gpu
If GPU is available, return mx.gpu(0); else return mx.cpu()
test/benchmark/utils_final.py:95
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