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Functions269 in github.com/ansleliu/LightNetPlusPlus

⨍ Functions 269◇ Types & classes 87

↓ 9 callersMethod__init__

(self, inplace=True)

models/mixnetseg.py:55

↓ 9 callersFunctionbroadcast_to

modules/inplace_abn/src/inplace_abn_cpu.cpp:17

↓ 8 callersMethod__init__

Dice Loss for Semantic Segmentation :param weight: <torch.Tensor, optional> A manual rescaling weight given to each class.

utils/losses.py:446

↓ 7 callersMethod__init__

(self, channel, reduct_ratio=16)

modules/attentions.py:54

↓ 6 callersMethod__init__

(self, inplace=True)

modules/efficient.py:45

↓ 4 callersFunctionreduce_sum

modules/inplace_abn/src/inplace_abn_cpu.cpp:8

↓ 3 callersMethod__init__

(self, in_chs, out_chs, up_ratio=2, aspp_dilate=(4, 8, 12))

modules/aspp.py:10

↓ 3 callersFunctionshape_check

modules/deformable/src/deform_conv_cuda.cpp:61

↓ 3 callersMethodupdate

(self, val, n=1)

utils/metrics.py:32

↓ 2 callersMethod__init__

(self, channels, kernel_size=11, padding=5, sigma=1.0, amount=1.0, threshold=0, norm_act=ABN)

modules/usm.py:125

↓ 2 callersMethod__init__

(self, spatial_scale, out_size, out_channels,

modules/deformable/modules/deform_pool.py:8

↓ 2 callersMethod__init__

(self, in_channels, out_channels, kernel_size,

modules/deformable/modules/deform_conv.py:12

↓ 2 callersFunction_act_backward

modules/inplace_abn/functions.py:68

↓ 2 callersFunction_act_forward

modules/inplace_abn/functions.py:59

↓ 2 callersMethod_round_filters

(self, filters, width_multi)

models/mixnetseg.py:494

↓ 2 callersFunctionchannel_shuffle

modules/shuffle.py:6

↓ 2 callersFunctioncount

modules/inplace_abn/src/inplace_abn_cpu.cpp:29

↓ 2 callersFunctionexecute_replication_callbacks

Execute an replication callback `__data_parallel_replicate__` on each module created by original replication. The callback will be invok

utils/parallel.py:214

↓ 2 callersMethodgenerate_new_target

(self, predict, target)

utils/losses.py:186

↓ 2 callersFunctioninvert_affine

modules/inplace_abn/src/inplace_abn_cpu.cpp:37

↓ 1 callersMethod__fast_hist

Collect values for Confusion Matrix For reference, please see: https://en.wikipedia.org/wiki/Confusion_matrix :param label_g

utils/metrics.py:55

↓ 1 callersMethod__init__

InvertedResidual: Core block of the MobileNetV2 :param inp: (int) Number of the input channels :param oup: (int) Number

modules/mobile.py:7

↓ 1 callersMethod__init__

(self, with_r=True)

modules/misc.py:8

↓ 1 callersMethod__init__

(self, in_chns, out_chns, stride, dilate, branch_model)

modules/shuffle.py:22

↓ 1 callersMethod__init__

Creates an Activated Batch Normalization module Parameters ---------- num_features : int Number of feature channe

modules/inplace_abn/iabn.py:19

↓ 1 callersMethod__init__

(self, alphastd, eigval, eigvec)

datasets/cityscapes/cityscapes.py:28

↓ 1 callersMethod__unique_encode

:param cls_targets: <torch.FloatTensor> Network Predictions of size [N, C, H, W], where C = number of classes :return:

utils/losses.py:407

↓ 1 callersMethod_adjust_learning_rate

(self, optimizer, lr)

utils/lr_scheduler.py:67

↓ 1 callersFunction_count_samples

modules/inplace_abn/functions.py:51

↓ 1 callersFunction_criterion_parallel_apply

(modules, inputs, targets, kwargs_tup=None, devices=None)

utils/parallel.py:150

↓ 1 callersMethod_infer_shape

(ctx, input, weight)

modules/deformable/functions/deform_conv.py:168

↓ 1 callersMethod_initialize_weights

models/shufflenetv2plus.py:102

↓ 1 callersMethod_initialize_weights

models/mixnetseg.py:470

↓ 1 callersMethod_initialize_weights

models/mobilenetv2plus.py:105

↓ 1 callersMethod_make_divisible

(value, divisor=8)

models/mixnetseg.py:488

↓ 1 callersMethod_output_size

(input, weight, padding, dilation, stride)

modules/deformable/functions/deform_conv.py:92

↓ 1 callersMethod_round_repeats

(repeats, depth_multi)

models/mixnetseg.py:500

↓ 1 callersMethod_update_topk

utils/losses.py:319

↓ 1 callersFunction_worker

(i, module, input, target, kwargs, device=None)

utils/parallel.py:168

↓ 1 callersMethodbackward

modules/inplace_abn/functions.py:119

↓ 1 callersFunctionbackward_cpu

modules/inplace_abn/src/inplace_abn_cpu.cpp:75

↓ 1 callersMethodcalculate_weights

modules/usm.py:95

↓ 1 callersFunctiondata_preprocess

(check, mean_check, std_check)

netviz/feat_viz.py:62

↓ 1 callersFunctiondecode_segmap

(pred, label_colours, num_classes)

deploy/cityscapes/video_demo/video_demo.py:24

↓ 1 callersFunctionedz_eydz_cpu

modules/inplace_abn/src/inplace_abn_cpu.cpp:66

↓ 1 callersFunctionelu_backward_cpu

modules/inplace_abn/src/inplace_abn_cpu.cpp:103

↓ 1 callersMethodencode_segmap

datasets/cityscapes/cityscapes.py:128

↓ 1 callersFunctionevaluate

(data_root, model, result_path, split)

deploy/cityscapes/evaluation/eval.py:22

↓ 1 callersMethodfind_threshold

(self, np_predict, np_target)

utils/losses.py:152

↓ 1 callersMethodforward

modules/aspp.py:65

↓ 1 callersMethodforward

(ctx, x, weight, bias, running_mean, running_var, training=True, momentum=0.1, eps=1e-05, acti

modules/inplace_abn/functions.py:79

↓ 1 callersMethodforward

netviz/feat_viz.py:43

↓ 1 callersFunctionforward_cpu

modules/inplace_abn/src/inplace_abn_cpu.cpp:54

↓ 1 callersFunctionget_mean_and_std

Compute the mean and std value of dataset.

datasets/utils/get_mean_std.py:5

↓ 1 callersMethodinit_offset

modules/deformable/modules/deform_conv.py:132

↓ 1 callersFunctionleaky_relu_backward_cpu

modules/inplace_abn/src/inplace_abn_cpu.cpp:85

↓ 1 callersFunctionmean_var_cpu

modules/inplace_abn/src/inplace_abn_cpu.cpp:45

↓ 1 callersFunctionrecursive_glob

Performs recursive glob with given suffix and rootdir :param rootdir is the root directory :param suffix is the suffix to be searched

utils/utils.py:7

↓ 1 callersFunctionrecursive_glob

Performs recursive glob with given suffix and rootdir :param rootdir is the root directory :param suffix is the suffix to be searched

datasets/cityscapes/list/make_list.py:4

↓ 1 callersMethodreplicate

(self, module, device_ids)

utils/parallel.py:101

↓ 1 callersMethodrescale_output_array

(self, newsize)

netviz/feat_viz.py:36

↓ 1 callersMethodreset_parameters

modules/deformable/modules/deform_conv.py:46

↓ 1 callersMethodreset_parameters

modules/deformable/modules/deform_conv.py:91

↓ 1 callersMethodreset_parameters

modules/inplace_abn/iabn.py:54

↓ 1 callersFunctionusm

(x, kernel_size=(7, 7), amount=1.0, threshold=0)

models/mixnetseg.py:39

↓ 1 callersMethodusm

(x, kernel_size=(7, 7), amount=1.0, threshold=0)

models/mixnetseg.py:506

↓ 1 callersFunctionvideo_demo

(data_root, model, method, result_path, split)

deploy/cityscapes/video_demo/video_demo.py:40

FunctionPYBIND11_MODULE

modules/deformable/src/deform_pool_cuda.cpp:81

FunctionPYBIND11_MODULE

modules/deformable/src/deform_conv_cuda.cpp:681

FunctionPYBIND11_MODULE

modules/inplace_abn/src/inplace_abn.cpp:86

(self, optimizer, i, epoch)

utils/lr_scheduler.py:37

:param image: <PIL.Image> Image to be augmented, mode='RGB' :param mask: <PIL.Image> Mask to be augmented, mode='L' :return:

datasets/augmentations.py:21

(self, image, mask)

datasets/augmentations.py:43

(self, image, mask)

datasets/augmentations.py:69

(self, image, mask)

datasets/augmentations.py:80

(self, image, mask)

datasets/augmentations.py:90

(self, image, mask)

datasets/augmentations.py:100

(self, image, mask)

datasets/augmentations.py:120

(self, image, mask)

datasets/augmentations.py:132

(self, image, mask)

datasets/augmentations.py:167

datasets/cityscapes/cityscapes.py:33

Method__getitem__

__getitem__ :param index:

datasets/cityscapes/cityscapes.py:140

InvertedResidual: Core block of the MobileNetV2 :param inp: (int) Number of the input channels :param oup: (int) Number

modules/mobile.py:50

(self, in_chs, mid_chs=64, out_chs=256, kernel_size=15)

modules/misc.py:60

(self, in_chs, mid_chs=64, out_chs=256, kernel_size=15, norm_act=InPlaceABN)

modules/attentions.py:13

(self, channel, reduct_ratio=16, is_res=True)

modules/attentions.py:74

(self, in_chns, reduct_ratio=16, is_res=True)

modules/attentions.py:101

(self, in_chns, reduct_ratio=16, is_res=True)

modules/attentions.py:139

(self, in_chns, reduct_ratio=16, dilation=4, use_res=True)

modules/attentions.py:187

(self, in_chns, reduct_ratio=8)

modules/attentions.py:239

modules/attentions.py:273

(self, in_planes, out_planes, kernel_size=3, stride=1, dilate=1)

modules/efficient.py:21

(self, in_planes, out_planes, kernel_size, stride=1, groups=1, dilate=1)

modules/efficient.py:54

(self, in_planes, reduced_dim)

modules/efficient.py:78

(self, feature_size=64, epsilon=0.0001)

modules/efficient.py:96

(self, bone_feat_sizes, feature_size=64, fpn_repeats=2)

modules/efficient.py:138

(self, in_planes, out_planes, expand_ratio, kernel_size, stride, dilate, re

modules/efficient.py:167

(self, channel, kernel_size=7, padding=3, amount=1.0, threshold=0, norm_act=ABN)

modules/usm.py:60

(self, channels, kernel_size=11, padding=5, sigma=1.6)

modules/usm.py:85

(self, keep_prob=0.9, block_size=7)

modules/dropout.py:25

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