team-10/env/Lib/site-packages/torchvision/ops/__init__.py
2025-08-02 07:34:44 +02:00

73 lines
1.9 KiB
Python

from ._register_onnx_ops import _register_custom_op
from .boxes import (
batched_nms,
box_area,
box_convert,
box_iou,
clip_boxes_to_image,
complete_box_iou,
distance_box_iou,
generalized_box_iou,
masks_to_boxes,
nms,
remove_small_boxes,
)
from .ciou_loss import complete_box_iou_loss
from .deform_conv import deform_conv2d, DeformConv2d
from .diou_loss import distance_box_iou_loss
from .drop_block import drop_block2d, drop_block3d, DropBlock2d, DropBlock3d
from .feature_pyramid_network import FeaturePyramidNetwork
from .focal_loss import sigmoid_focal_loss
from .giou_loss import generalized_box_iou_loss
from .misc import Conv2dNormActivation, Conv3dNormActivation, FrozenBatchNorm2d, MLP, Permute, SqueezeExcitation
from .poolers import MultiScaleRoIAlign
from .ps_roi_align import ps_roi_align, PSRoIAlign
from .ps_roi_pool import ps_roi_pool, PSRoIPool
from .roi_align import roi_align, RoIAlign
from .roi_pool import roi_pool, RoIPool
from .stochastic_depth import stochastic_depth, StochasticDepth
_register_custom_op()
__all__ = [
"masks_to_boxes",
"deform_conv2d",
"DeformConv2d",
"nms",
"batched_nms",
"remove_small_boxes",
"clip_boxes_to_image",
"box_convert",
"box_area",
"box_iou",
"generalized_box_iou",
"distance_box_iou",
"complete_box_iou",
"roi_align",
"RoIAlign",
"roi_pool",
"RoIPool",
"ps_roi_align",
"PSRoIAlign",
"ps_roi_pool",
"PSRoIPool",
"MultiScaleRoIAlign",
"FeaturePyramidNetwork",
"sigmoid_focal_loss",
"stochastic_depth",
"StochasticDepth",
"FrozenBatchNorm2d",
"Conv2dNormActivation",
"Conv3dNormActivation",
"SqueezeExcitation",
"MLP",
"Permute",
"generalized_box_iou_loss",
"distance_box_iou_loss",
"complete_box_iou_loss",
"drop_block2d",
"DropBlock2d",
"drop_block3d",
"DropBlock3d",
]