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Types & classes57 in github.com/damo-cv/MogFace

↓ 8 callersClassDeepHead
modelling/pred_modules/pred_net.py:86
↓ 6 callersClassFeatureFusion
modelling/neck_modules/fpn.py:13
↓ 4 callersClassconv_bn
docstring for conv
modelling/pred_modules/pred_net.py:14
↓ 2 callersClassCPM
docstring for CPM
modelling/pred_modules/pred_net.py:32
↓ 2 callersClassSSHContext
modelling/pred_modules/pred_net.py:66
↓ 2 callersClassSchemaDict
core/config/schema.py:72
↓ 1 callersClassAttrDict
Single level attribute dict, NOT recursive
core/workspace.py:53
↓ 1 callersClassContextTexture
docstring for ContextTexture
modelling/neck_modules/bffpn.py:13
↓ 1 callersClassHungarianMatcher
This class computes an assignment between the targets and the predictions of the network For efficiency reasons, the targets don't include the no
data/anchors_opr/matcher.py:14
↓ 1 callersClassResNet
modelling/backbones/resnet.py:126
↓ 1 callersClassSchemaValue
core/config/schema.py:58
↓ 1 callersClassSharedConfig
Representation class for `__shared__` annotations, which work as follows: - if `key` is set for the module in config file, its value will ta
core/config/schema.py:167
↓ 1 callersClassSimulLogger
print on terminal and log_name simultaneously
utils/logger.py:4
ClassAnchorTarget
data/anchors_opr/anchor_target.py:14
ClassBBoxAnchorTrainCollate
data/data_feed.py:75
ClassBFFPN
modelling/neck_modules/bffpn.py:61
ClassBasePreprocess
data/preprocess.py:15
ClassBasicBlock
modelling/backbones/resnet.py:44
ClassBottleneck
modelling/backbones/resnet.py:84
ClassCallable
Helper to be used in Yaml for creating arbitrary class objects Args: full_type (str): the full module path to target function
core/config/yaml_helpers.py:82
ClassClipGradients
data/optimizer.py:13
ClassCriterion
modelling/criterion.py:31
ClassCriterionFPBranch
modelling/criterion.py:16
ClassCrossEntropyLoss
modelling/loss_modules/loss.py:13
ClassDataAugSettings
data/data_aug_settings.py:15
ClassFPContext
modelling/architectures/widerface_basenet.py:15
ClassFocalLoss
modelling/loss_modules/loss.py:49
ClassFocalLossFewSample
modelling/loss_modules/loss.py:29
ClassGeneartePriorBoxes
both for fpn and single layer, single layer need to test return (np.array) [num_anchros, 4] [x0, y0, x1, y1]
data/anchors_opr/generate_anchors.py:15
ClassLFPN
modelling/neck_modules/fpn.py:29
ClassLightFPN
modelling/neck_modules/fpn.py:114
ClassLinearWarmup
data/optimizer.py:36
ClassMogCriterion
modelling/criterion.py:75
ClassMogPredNet
modelling/pred_modules/pred_net.py:411
ClassNormalWeightInit
data/weight_init.py:14
ClassPyModuleDef
utils/bbox/bbox.c:3257
ClassPyModuleDef
utils/nms/cython_nms.c:5458
ClassRFFPN
Feature Pyramid Network. This is an implementation of - Feature Pyramid Networks for Object Detection (https://arxiv.org/abs/1612.03144)
modelling/neck_modules/rffpn.py:13
ClassRetinaClsWeightInit
data/weight_init.py:31
ClassRetinaPredNet
modelling/pred_modules/pred_net.py:315
ClassRetinaPredNetFPContext
modelling/pred_modules/pred_net.py:184
ClassRetinaPredNetFPContext_1
modelling/pred_modules/pred_net.py:118
ClassSGDOptimizer
data/optimizer.py:22
ClassSmoothL1Loss
modelling/loss_modules/loss.py:70
ClassTrainCollate
data/data_feed.py:48
ClassTrainFeed
data/data_feed.py:20
ClassTrainTransformerCollate
data/data_feed.py:61
ClassWiderFaceBaseNet
modelling/architectures/widerface_basenet.py:91
ClassWiderFaceBaseNetFPContext
modelling/architectures/widerface_basenet.py:48
ClassWiderFaceTrainSet
TODO: if ignore training no bbox img, rewrite load_file_list
data/datasets_utils/widerface.py:87
ClassWiderFaceValSet
data/datasets_utils/widerface.py:22
Class__Pyx_CodeObjectCache
utils/bbox/bbox.c:1446
Class__Pyx_CodeObjectCache
utils/nms/cython_nms.c:1550
Enum__Pyx_ImportType_CheckSize
utils/bbox/bbox.c:1423
Enum__Pyx_ImportType_CheckSize
utils/nms/cython_nms.c:1527
Class__Pyx_StructField_
utils/bbox/bbox.c:880
Class__Pyx_StructField_
utils/nms/cython_nms.c:883