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Types & classes41 in github.com/IgaoGuru/Sequoia

⨍ Functions 216◇ Types & classes 41
↓ 15 callersClassConv
models/common.py:25
↓ 3 callersClassLight_Classifier
light_classifier.py:20
↓ 3 callersClassLight_Dataset
light_classifier.py:145
↓ 2 callersClassFocalLoss
utils/general.py:428
↓ 2 callersClassGhostConv
models/experimental.py:65
↓ 2 callersClassLoadImagesAndLabels
utils/datasets.py:328
↓ 1 callersClassBottleneck
models/common.py:40
↓ 1 callersClassCrossConv
models/experimental.py:11
↓ 1 callersClassEnsemble
models/experimental.py:116
↓ 1 callersClassFlatten
models/common.py:171
↓ 1 callersClassHardswish
utils/activations.py:13
↓ 1 callersClassInfiniteDataLoader
Dataloader that reuses workers. Uses same syntax as vanilla DataLoader.
utils/datasets.py:75
↓ 1 callersClassModel
models/yolo.py:64
↓ 1 callersClassNMS
models/common.py:106
↓ 1 callersClass_RepeatSampler
Sampler that repeats forever. Args: sampler (Sampler)
utils/datasets.py:94
↓ 1 callersClassautoShape
models/common.py:119
ClassBCEBlurWithLogitsLoss
utils/general.py:463
ClassBottleneckCSP
models/common.py:53
ClassC3
models/experimental.py:25
ClassClassify
models/common.py:178
ClassConcat
models/common.py:96
ClassCsgoDataset
Dataset based on dictionary where each screenshot corresponds to a key, and each bbox corresponds to key. This dataset is generated by combining
datasetcsgo.py:50
ClassDetect
models/yolo.py:22
ClassF
utils/activations.py:21
ClassF
utils/activations.py:45
ClassFReLU
utils/activations.py:63
ClassFocus
models/common.py:86
ClassGhostBottleneck
models/experimental.py:78
ClassHeavy_Classifier
light_classifier.py:61
ClassLoadImages
utils/datasets.py:109
ClassLoadStreams
utils/datasets.py:255
ClassLoadWebcam
utils/datasets.py:190
ClassMemoryEfficientMish
utils/activations.py:44
ClassMemoryEfficientSwish
utils/activations.py:20
ClassMish
utils/activations.py:38
ClassMixConv2d
models/experimental.py:93
ClassModelEMA
Model Exponential Moving Average from https://github.com/rwightman/pytorch-image-models Keep a moving average of everything in the model state_di
utils/torch_utils.py:195
ClassSPP
models/common.py:72
ClassSum
models/experimental.py:44
ClassSwish
utils/activations.py:7
ClassUltra_Light_Classifier
light_classifier.py:108