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Types & classes22 in github.com/TNTWEN/Pruned-OpenVINO-YOLO

⨍ Functions 172◇ Types & classes 22
↓ 15 callersClassDarknet
Pruneyolov3v4/models.py:235
↓ 4 callersClassLoadImagesAndLabels
Pruneyolov3v4/utils/datasets.py:259
↓ 2 callersClassFocalLoss
Pruneyolov3v4/utils/utils.py:318
↓ 1 callersClassFeatureConcat
Pruneyolov3v4/utils/layers.py:28
↓ 1 callersClassLoadImages
Pruneyolov3v4/utils/datasets.py:44
↓ 1 callersClassLoadStreams
Pruneyolov3v4/utils/datasets.py:186
↓ 1 callersClassMixConv2d
Pruneyolov3v4/utils/layers.py:75
↓ 1 callersClassSwish
Pruneyolov3v4/utils/layers.py:141
↓ 1 callersClassWeightedFeatureFusion
Pruneyolov3v4/utils/layers.py:43
↓ 1 callersClassYOLOLayer
Pruneyolov3v4/models.py:146
ClassAdaBound
Implements AdaBound algorithm. It has been proposed in `Adaptive Gradient Methods with Dynamic Bound of Learning Rate`_. Arguments: pa
Pruneyolov3v4/utils/adabound.py:7
ClassAdaBoundW
Implements AdaBound algorithm with Decoupled Weight Decay (arxiv.org/abs/1711.05101) It has been proposed in `Adaptive Gradient Methods with Dynam
Pruneyolov3v4/utils/adabound.py:122
ClassBNOptimizer
Pruneyolov3v4/utils/prune_utils.py:165
ClassConcat
Pruneyolov3v4/utils/layers.py:18
ClassFlatten
Pruneyolov3v4/utils/layers.py:12
ClassHardSwish
Pruneyolov3v4/utils/layers.py:146
ClassLoadWebcam
Pruneyolov3v4/utils/datasets.py:121
ClassMemoryEfficientMish
Pruneyolov3v4/utils/layers.py:136
ClassMemoryEfficientSwish
Pruneyolov3v4/utils/layers.py:131
ClassMishImplementation
Pruneyolov3v4/utils/layers.py:117
ClassModelEMA
Model Exponential Moving Average from https://github.com/rwightman/pytorch-image-models Keep a moving average of everything in the model state_di
Pruneyolov3v4/utils/torch_utils.py:146
ClassSwishImplementation
Pruneyolov3v4/utils/layers.py:104