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⨍ Functions 338◇ Types & classes 117

↓ 12 callersMethod__init__

(self, stem_filters, num_filters=42)

nasnet_seperable.py:138

↓ 12 callersFunctionget_block

(in_channel, depth, num_units, stride = 2)

MobileFaceNet.py:82

↓ 10 callersMethod__init__

(self, embedding_size=512, classnum=51332, s=64., m=0.5)

MobileFaceNet.py:245

↓ 9 callersMethod__init__

inceptionv4.py:56

↓ 7 callersMethod__init__

(self, scale=1.0, noReLU=False)

inception_resnet2.py:403

↓ 7 callersMethod__init__

(self, scale=1.0, noReLU=False)

inception_resnet.py:205

↓ 7 callersMethod__init__

(self, scale=1.0, noReLU=False)

cunet_inception_resnet.py:181

↓ 5 callersMethod__init__

(self, block, layers)

resnet_face.py:225

↓ 5 callersMethodwait_for_long_duration_command

(self, expected_cmd, timeout, interval)

↓ 4 callersMethod__init__

(self, num_classes, context_path)

BiSeNet_fenge.py:69

↓ 4 callersMethod_make_layer

(self, block, planes, blocks, stride=1)

resnet_face.py:188

↓ 4 callersMethod_make_layer

(self, block, planes, blocks, stride=1)

resnet_face.py:250

↓ 4 callersFunctionconv3x3

3x3 convolution with padding

resnet_face.py:27

↓ 4 callersMethodfeatures

xception1.py:163

↓ 4 callersFunctioninceptionresnetv2

r"""InceptionResNetV2 model architecture from the `"InceptionV4, Inception-ResNet..." <https://arxiv.org/abs/1602.07261>`_ paper.

inception_resnet2.py:659

↓ 4 callersFunctioninceptionresnetv2

r"""InceptionResNetV2 model architecture from the `"InceptionV4, Inception-ResNet..." <https://arxiv.org/abs/1602.07261>`_ paper.

inception_resnet.py:333

↓ 4 callersFunctioninceptionv4

(num_classes=1000, pretrained='imagenet')

inceptionv4.py:312

↓ 4 callersFunctionl2_norm

MobileFaceNet.py:14

↓ 4 callersMethodmake_layer

(self, block, planes, blocks, stride=1)

↓ 4 callersMethodparameters

↓ 4 callersFunctionth_gather_2d

(input, coords)

deform_conv.py:30

↓ 3 callersMethod__init__

(self, model_config)

↓ 3 callersMethod_make_layer

(self, out_planes, num_blocks, groups)

shufflenet1.py:65

↓ 3 callersMethod_make_stage

shufflenet_tf.py:242

↓ 2 callersMethod__init__

(self, channel, reduction=1)

↓ 2 callersMethod__init__

(self,in_filters,out_filters,reps,strides=1,start_with_relu=True,grow_first=True)

↓ 2 callersMethod__init__

(self,in_filters,out_filters,reps,strides=1,start_with_relu=True,grow_first=True)

xception1.py:56

↓ 2 callersMethod__init__

(self, in_planes, out_planes, stride, groups)

shufflenet1.py:22

↓ 2 callersMethod_make_grouped_conv1x1

(self, in_channels, out_channels, groups, batch_norm=True, relu=False)

shufflenet_tf.py:129

↓ 2 callersMethod_make_residual

↓ 2 callersFunctionconv3x3

3x3 convolution with padding

shufflenet_tf.py:9

↓ 2 callersMethodget_component_property

(self, component_id, property_id)

↓ 2 callersMethodget_target_upgrade_capabilities

↓ 2 callersMethodget_upgrade_status

↓ 2 callersFunctionth_flatten

deform_conv.py:10

↓ 1 callersFunctionShuffleNetG2

shufflenet1.py:85

↓ 1 callersMethod__init__

(self, filename=None)

↓ 1 callersMethod__init__

↓ 1 callersMethod__init__

ShuffleNet constructor. Arguments: groups (int, optional): number of groups to be used in grouped 1x1 convolut

shufflenet_tf.py:169

↓ 1 callersMethod__init__

(self, in_ch, out_ch)

unet-pytorch.py:39

↓ 1 callersMethod_activation_state_do_self_testing

↓ 1 callersMethod_check_md5_sum

(self, filedata)

↓ 1 callersMethod_determine_max_block_size

↓ 1 callersMethod_from_data

↓ 1 callersMethod_from_data

↓ 1 callersMethod_from_file

(self, filename)

↓ 1 callersMethod_from_rsp

↓ 1 callersMethod_from_rsp_data

↓ 1 callersMethod_get_component_count

Return the number of components

↓ 1 callersMethod_get_grid

↓ 1 callersMethod_hour_glass_forward

(self, depth_id, x)

↓ 1 callersMethod_init_weights

↓ 1 callersMethod_make_fc

(self, inplanes, outplanes)

↓ 1 callersMethod_make_head

↓ 1 callersMethod_make_hour_glass

↓ 1 callersMethod_make_residual

↓ 1 callersMethod_to_b_c_h_w

(b*c, h, w) -> (b, c, h, w)

↓ 1 callersMethod_to_bc_h_w

(b, c, h, w) -> (b*c, h, w)

↓ 1 callersMethod_to_bc_h_w_2

(b, 2c, h, w) -> (b*c, h, w, 2)

↓ 1 callersMethodabort_firmware_upgrade

↓ 1 callersMethodactivate_firmware

(self, rollback_override=None)

↓ 1 callersMethodactivate_firmware_and_wait

Activate the new uploaded firmware and wait for long running command.

↓ 1 callersMethodactivation_stage

(self, image, component)

↓ 1 callersFunctionbninception

r"""BNInception model architecture from <https://arxiv.org/pdf/1502.03167.pdf>`_ paper.

bninception2renlian.py:537

↓ 1 callersFunctionbninception

r"""BNInception model architecture from <https://arxiv.org/pdf/1502.03167.pdf>`_ paper.

bninception.py:538

↓ 1 callersFunctionchannel_shuffle

shufflenet_tf.py:36

↓ 1 callersFunctionconv1x1

1x1 convolution with padding - Normal pointwise convolution When groups == 1 - Grouped pointwise convolution when groups > 1

shufflenet_tf.py:23

↓ 1 callersMethodcreate_from_data

↓ 1 callersMethodfeatures

inception_resnet2.py:601

↓ 1 callersMethodfeatures

inception_resnet.py:304

↓ 1 callersMethodfeatures

cunet_inception_resnet.py:280

↓ 1 callersMethodfeatures

bninception2renlian.py:294

↓ 1 callersMethodfeatures

nasnet_seperable.py:563

↓ 1 callersMethodfeatures

bninception.py:295

↓ 1 callersMethodfinish_firmware_upload

(self, component, length)

↓ 1 callersMethodfinish_upload_and_wait

Finish the firmware upload process and wait for long running command.

↓ 1 callersMethodfreeze

freeze modules for finetuning

↓ 1 callersMethodfrom_data

(component_id, data)

↓ 1 callersFunctionget_blocks

MobileFaceNet.py:85

↓ 1 callersMethodinit_params

shufflenet_tf.py:227

↓ 1 callersMethodinitiate_manual_rollback

↓ 1 callersMethodinitiate_upgrade_action

Initiate Upgrade Action components: action: ACTION_BACKUP_COMPONENT = 0x00 ACTION_PREPARE_COMPONENT = 0x0

↓ 1 callersMethodinitiate_upgrade_action_and_wait

Initiate Upgrade Action and wait for long running command.

↓ 1 callersMethodinstall_component_from_image

(self, image, component)

↓ 1 callersMethodlogits

(self, features)

inception_resnet2.py:637

↓ 1 callersMethodlogits

(self, features)

inceptionv4.py:300

↓ 1 callersMethodlogits

(self, features)

inception_resnet.py:322

↓ 1 callersMethodlogits

(self, features)

cunet_inception_resnet.py:298

↓ 1 callersMethodlogits

(self, features)

xception1.py:193

↓ 1 callersMethodlogits

(self, features)

bninception2renlian.py:526

↓ 1 callersMethodlogits

(self, features)

nasnet_seperable.py:594

↓ 1 callersMethodlogits

(self, features)

bninception.py:527

↓ 1 callersFunctionmultivariate_gaussian

↓ 1 callersMethodpreparation_stage

↓ 1 callersFunctionse_block

(input_tensor, c=16)

res2net_block.py:55

↓ 1 callersMethodupgrade_stage

(self, image, component)

↓ 1 callersMethodupload_binary

Upload all firmware blocks from binary and wait for long running command.

↓ 1 callersMethodupload_firmware_block

(self, block_number, data)

↓ 1 callersMethodwait_until_new_firmware_comes_up

(self, timeout, interval)

FunctionShuffleNetG3

shufflenet1.py:93

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