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Types & classes36 in github.com/Tianxiaomo/pytorch-YOLOv4

↓ 68 callersClassConv_Bn_Activation
models.py:39
↓ 8 callersClassDarknet
tool/darknet2pytorch.py:126
↓ 4 callersClassResBlock
Sequential residual blocks each of which consists of \ two convolution layers. Args: ch (int): number of input and output channel
models.py:69
↓ 4 callersClassYoloLayer
Yolo layer model_out: while inference,is post-processing inside or outside the model true:outside
tool/yolo_layer.py:290
↓ 4 callersClassYolov4
models.py:409
↓ 3 callersClassEmptyModule
tool/darknet2pytorch.py:117
↓ 3 callersClassYolo_dataset
dataset.py:242
↓ 2 callersClassCocoEvaluator
tool/tv_reference/coco_eval.py:19
↓ 2 callersClassHostDeviceMem
demo_trt.py:64
↓ 2 callersClassSmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
tool/tv_reference/utils.py:13
↓ 2 callersClassUpsample
models.py:17
↓ 1 callersClassCocoDetection
tool/tv_reference/coco_utils.py:220
↓ 1 callersClassConvertCocoPolysToMask
tool/tv_reference/coco_utils.py:50
↓ 1 callersClassDownSample1
models.py:98
↓ 1 callersClassDownSample2
models.py:139
↓ 1 callersClassDownSample3
models.py:167
↓ 1 callersClassDownSample4
models.py:191
↓ 1 callersClassDownSample5
models.py:215
↓ 1 callersClassGlobalAvgPool2d
tool/darknet2pytorch.py:102
↓ 1 callersClassGroupedBatchSampler
Wraps another sampler to yield a mini-batch of indices. It enforces that the batch only contain elements from the same group. It also tri
tool/tv_reference/group_by_aspect_ratio.py:23
↓ 1 callersClassMaxPoolDark
tool/darknet2pytorch.py:19
↓ 1 callersClassMish
models.py:8
↓ 1 callersClassMish
tool/darknet2pytorch.py:10
↓ 1 callersClassNeck
models.py:239
↓ 1 callersClassRegionLoss
tool/region_loss.py:104
↓ 1 callersClassReorg
tool/darknet2pytorch.py:79
↓ 1 callersClassSubsetSampler
tool/tv_reference/group_by_aspect_ratio.py:95
↓ 1 callersClassUpsample_expand
tool/darknet2pytorch.py:52
↓ 1 callersClassYolo_loss
train.py:130
↓ 1 callersClassYolov4Head
models.py:323
ClassCompose
tool/tv_reference/transforms.py:17
ClassFilterAndRemapCocoCategories
tool/tv_reference/coco_utils.py:15
ClassMetricLogger
tool/tv_reference/utils.py:145
ClassRandomHorizontalFlip
tool/tv_reference/transforms.py:27
ClassToTensor
tool/tv_reference/transforms.py:47
ClassUpsample_interpolate
tool/darknet2pytorch.py:67