__init__.py 1.37 KB
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from ._register_onnx_ops import _register_custom_op
from .boxes import (
    nms,
    batched_nms,
    remove_small_boxes,
    clip_boxes_to_image,
    box_area,
    box_iou,
    generalized_box_iou,
    masks_to_boxes,
)
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from .boxes import box_convert
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from .deform_conv import deform_conv2d, DeformConv2d
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from .feature_pyramid_network import FeaturePyramidNetwork
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from .focal_loss import sigmoid_focal_loss
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from .giou_loss import generalized_box_iou_loss
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from .misc import FrozenBatchNorm2d, SqueezeExcitation
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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
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from .stochastic_depth import stochastic_depth, StochasticDepth
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_register_custom_op()

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__all__ = [
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    "masks_to_boxes",
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    "deform_conv2d",
    "DeformConv2d",
    "nms",
    "batched_nms",
    "remove_small_boxes",
    "clip_boxes_to_image",
    "box_convert",
    "box_area",
    "box_iou",
    "generalized_box_iou",
    "roi_align",
    "RoIAlign",
    "roi_pool",
    "RoIPool",
    "ps_roi_align",
    "PSRoIAlign",
    "ps_roi_pool",
    "PSRoIPool",
    "MultiScaleRoIAlign",
    "FeaturePyramidNetwork",
    "sigmoid_focal_loss",
    "stochastic_depth",
    "StochasticDepth",
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    "FrozenBatchNorm2d",
    "SqueezeExcitation",
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    "generalized_box_iou_loss",
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]