repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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ERD | ERD-main/mmdet/models/task_modules/assigners/max_iou_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Union
import torch
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import TASK_UTILS
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@TASK_UTILS.register_module()
cl... | 11,559 | 45.99187 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/prior_generators/point_generator.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple, Union
import numpy as np
import torch
from torch import Tensor
from torch.nn.modules.utils import _pair
from mmdet.registry import TASK_UTILS
DeviceType = Union[str, torch.device]
@TASK_UTILS.register_module()
class PointGenerator:
... | 13,026 | 39.456522 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/prior_generators/anchor_generator.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from mmengine.utils import is_tuple_of
from torch import Tensor
from torch.nn.modules.utils import _pair
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox impo... | 37,295 | 42.929329 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/prior_generators/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple
import torch
from torch import Tensor
from mmdet.structures.bbox import BaseBoxes
def anchor_inside_flags(flat_anchors: Tensor,
valid_flags: Tensor,
img_shape: Tuple[int],
... | 2,671 | 36.633803 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/prior_generators/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .anchor_generator import (AnchorGenerator, LegacyAnchorGenerator,
SSDAnchorGenerator, YOLOAnchorGenerator)
from .point_generator import MlvlPointGenerator, PointGenerator
from .utils import anchor_inside_flags, calc_region
__all__ = [
... | 500 | 40.75 | 71 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/multi_instance_sampling_result.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch import Tensor
from ..assigners import AssignResult
from .sampling_result import SamplingResult
class MultiInstanceSamplingResult(SamplingResult):
"""Bbox sampling result. Further encapsulation of SamplingResult. Three
attributes neg_assi... | 2,260 | 38.666667 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/instance_balanced_pos_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmdet.registry import TASK_UTILS
from .random_sampler import RandomSampler
@TASK_UTILS.register_module()
class InstanceBalancedPosSampler(RandomSampler):
"""Instance balanced sampler that samples equal number of positive samples... | 2,318 | 39.684211 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/combined_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import TASK_UTILS
from .base_sampler import BaseSampler
@TASK_UTILS.register_module()
class CombinedSampler(BaseSampler):
"""A sampler that combines positive sampler and negative sampler."""
def __init__(self, pos_sampler, neg_sampler, **kwa... | 760 | 33.590909 | 77 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/mask_sampling_result.py | # Copyright (c) OpenMMLab. All rights reserved.
"""copy from
https://github.com/ZwwWayne/K-Net/blob/main/knet/det/mask_pseudo_sampler.py."""
import torch
from torch import Tensor
from ..assigners import AssignResult
from .sampling_result import SamplingResult
class MaskSamplingResult(SamplingResult):
"""Mask sa... | 2,361 | 33.231884 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/multi_instance_random_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
import torch
from mmengine.structures import InstanceData
from numpy import ndarray
from torch import Tensor
from mmdet.registry import TASK_UTILS
from ..assigners import AssignResult
from .multi_instance_sampling_result import MultiInstanceSamp... | 5,250 | 39.083969 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/base_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
import torch
from mmengine.structures import InstanceData
from mmdet.structures.bbox import BaseBoxes, cat_boxes
from ..assigners import AssignResult
from .sampling_result import SamplingResult
class BaseSampler(metaclass=ABCMet... | 5,805 | 41.379562 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/random_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
import torch
from numpy import ndarray
from torch import Tensor
from mmdet.registry import TASK_UTILS
from ..assigners import AssignResult
from .base_sampler import BaseSampler
@TASK_UTILS.register_module()
class RandomSampler(BaseSampler):
... | 3,902 | 34.481818 | 78 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/ohem_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import bbox2roi
from .base_sampler import BaseSampler
@TASK_UTILS.register_module()
class OHEMSampler(BaseSampler):
r"""Online Hard Example Mining Sampler described in `Training Region-ba... | 4,229 | 36.767857 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/iou_balanced_neg_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmdet.registry import TASK_UTILS
from .random_sampler import RandomSampler
@TASK_UTILS.register_module()
class IoUBalancedNegSampler(RandomSampler):
"""IoU Balanced Sampling.
arXiv: https://arxiv.org/pdf/1904.02701.pdf (CVP... | 6,745 | 41.427673 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/mask_pseudo_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
"""copy from
https://github.com/ZwwWayne/K-Net/blob/main/knet/det/mask_pseudo_sampler.py."""
import torch
from mmengine.structures import InstanceData
from mmdet.registry import TASK_UTILS
from ..assigners import AssignResult
from .base_sampler import BaseSampler
from .... | 2,198 | 35.04918 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/score_hlr_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
import torch
from mmcv.ops import nms_match
from mmengine.structures import InstanceData
from numpy import ndarray
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import bbox2roi
from ..assigners import ... | 12,663 | 42.5189 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_sampler import BaseSampler
from .combined_sampler import CombinedSampler
from .instance_balanced_pos_sampler import InstanceBalancedPosSampler
from .iou_balanced_neg_sampler import IoUBalancedNegSampler
from .mask_pseudo_sampler import MaskPseudoSampler
from .m... | 1,024 | 43.565217 | 77 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/sampling_result.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import numpy as np
import torch
from torch import Tensor
from mmdet.structures.bbox import BaseBoxes, cat_boxes
from mmdet.utils import util_mixins
from mmdet.utils.util_random import ensure_rng
from ..assigners import AssignResult
def random_boxes(num... | 8,409 | 33.896266 | 101 | py |
ERD | ERD-main/mmdet/models/task_modules/samplers/pseudo_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmengine.structures import InstanceData
from mmdet.registry import TASK_UTILS
from ..assigners import AssignResult
from .base_sampler import BaseSampler
from .sampling_result import SamplingResult
@TASK_UTILS.register_module()
class PseudoSampler(Base... | 2,145 | 34.180328 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/coders/yolo_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
import torch
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import BaseBoxes, HorizontalBoxes, get_box_tensor
from .base_bbox_coder import BaseBBoxCoder
@TASK_UTILS.register_module()
class YOLOBBoxCod... | 3,864 | 39.684211 | 77 | py |
ERD | ERD-main/mmdet/models/task_modules/coders/distance_point_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence, Union
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import (BaseBoxes, HorizontalBoxes, bbox2distance,
distance2bbox, get_box_tensor)
from .base_bbox_co... | 3,205 | 36.27907 | 78 | py |
ERD | ERD-main/mmdet/models/task_modules/coders/bucketing_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence, Tuple, Union
import numpy as np
import torch
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import (BaseBoxes, HorizontalBoxes, bbox_rescale,
... | 15,197 | 40.411444 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/coders/pseudo_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import BaseBoxes, HorizontalBoxes, get_box_tensor
from .base_bbox_coder import BaseBBoxCoder
@TASK_UTILS.register_module()
class PseudoBBoxCoder(BaseBBox... | 1,019 | 33 | 78 | py |
ERD | ERD-main/mmdet/models/task_modules/coders/base_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
class BaseBBoxCoder(metaclass=ABCMeta):
"""Base bounding box coder.
Args:
use_box_type (bool): Whether to warp decoded boxes with the
box type data structure. Defaults to False.
"""
# The size... | 776 | 27.777778 | 71 | py |
ERD | ERD-main/mmdet/models/task_modules/coders/tblr_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence, Union
import torch
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import BaseBoxes, HorizontalBoxes, get_box_tensor
from .base_bbox_coder import BaseBBoxCoder
@TASK_UTILS.register_module... | 9,724 | 41.467249 | 78 | py |
ERD | ERD-main/mmdet/models/task_modules/coders/legacy_delta_xywh_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence, Union
import numpy as np
import torch
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import BaseBoxes, HorizontalBoxes, get_box_tensor
from .base_bbox_coder import BaseBBoxCoder
@TASK_UT... | 9,370 | 38.707627 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/coders/delta_xywh_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import Optional, Sequence, Union
import numpy as np
import torch
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import BaseBoxes, HorizontalBoxes, get_box_tensor
from .base_bbox_coder import BaseBBox... | 17,417 | 41.174334 | 79 | py |
ERD | ERD-main/mmdet/models/task_modules/coders/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_bbox_coder import BaseBBoxCoder
from .bucketing_bbox_coder import BucketingBBoxCoder
from .delta_xywh_bbox_coder import DeltaXYWHBBoxCoder
from .distance_point_bbox_coder import DistancePointBBoxCoder
from .legacy_delta_xywh_bbox_coder import LegacyDeltaXYWHBBo... | 654 | 39.9375 | 66 | py |
ERD | ERD-main/mmdet/models/roi_heads/standard_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
from torch import Tensor
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.structures import DetDataSample, SampleList
from mmdet.structures.bbox import bbox2roi
from mmdet.utils import ConfigType, InstanceLis... | 17,440 | 40.52619 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/grid_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.structures.bbox import bbox2roi
from mmdet.utils import ConfigType, InstanceList
from ..task_modules.sampl... | 11,647 | 40.451957 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/scnet_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
import torch.nn.functional as F
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.structures.bbox import bbox2r... | 27,836 | 40.057522 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/double_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
from torch import Tensor
from mmdet.registry import MODELS
from .standard_roi_head import StandardRoIHead
@MODELS.register_module()
class DoubleHeadRoIHead(StandardRoIHead):
"""RoI head for `Double Head RCNN <https://arxiv.org/abs/1904.064... | 1,956 | 35.240741 | 77 | py |
ERD | ERD-main/mmdet/models/roi_heads/multi_instance_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import DetDataSample
from mmdet.structures.bbox import bbox2roi
from mmdet.utils import ConfigType, InstanceList
from ..task_modules.samplers import SamplingR... | 9,392 | 40.378855 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/sparse_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.models.task_modules.samplers import PseudoSampler
from mmdet.registry import MODELS
from mmdet.structures ... | 26,551 | 43.106312 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/cascade_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Sequence, Tuple, Union
import torch
import torch.nn as nn
from mmengine.model import ModuleList
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.models.task_modules.samplers import SamplingResult
from mmdet.models... | 24,347 | 41.790861 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/trident_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import torch
from mmcv.ops import batched_nms
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import InstanceList
from .standard_roi... | 4,298 | 37.044248 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/dynamic_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import numpy as np
import torch
from torch import Tensor
from mmdet.models.losses import SmoothL1Loss
from mmdet.models.task_modules.samplers import SamplingResult
from mmdet.registry import MODELS
from mmdet.structures import SampleList
f... | 6,794 | 40.432927 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/point_rend_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
# Modified from https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend # noqa
from typing import List, Tuple
import torch
import torch.nn.functional as F
from mmcv.ops import point_sample, rel_roi_point_to_rel_img_point
from torch import Tensor
f... | 10,479 | 43.219409 | 101 | py |
ERD | ERD-main/mmdet/models/roi_heads/base_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from typing import Tuple
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import InstanceList, OptConfigType, OptMultiConfig
... | 4,889 | 36.615385 | 78 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_scoring_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import torch
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.structures.bbox import bbox2roi
from mmdet.utils import ConfigType, InstanceList
from ..task_modules.samplers import... | 8,784 | 41.033493 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_roi_head import BaseRoIHead
from .bbox_heads import (BBoxHead, ConvFCBBoxHead, DIIHead,
DoubleConvFCBBoxHead, SABLHead, SCNetBBoxHead,
Shared2FCBBoxHead, Shared4Conv1FCBBoxHead)
from .cascade_roi_head import Cas... | 2,043 | 51.410256 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/htc_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Tuple
import torch
import torch.nn.functional as F
from torch import Tensor
from mmdet.models.test_time_augs import merge_aug_masks
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.structures.b... | 24,599 | 41.268041 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/pisa_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
from torch import Tensor
from mmdet.models.task_modules import SamplingResult
from mmdet.registry import MODELS
from mmdet.structures import DetDataSample
from mmdet.structures.bbox import bbox2roi
from mmdet.utils import InstanceList
from... | 5,966 | 39.04698 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/test_mixins.py | # Copyright (c) OpenMMLab. All rights reserved.
# TODO: delete this file after refactor
import sys
import torch
from mmdet.models.layers import multiclass_nms
from mmdet.models.test_time_augs import merge_aug_bboxes, merge_aug_masks
from mmdet.structures.bbox import bbox2roi, bbox_mapping
if sys.version_info >= (3, ... | 7,451 | 42.325581 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/roi_extractors/base_roi_extractor.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
from mmcv import ops
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.utils import ConfigType, OptMultiConfig
class BaseRoIExtr... | 3,822 | 34.073394 | 78 | py |
ERD | ERD-main/mmdet/models/roi_heads/roi_extractors/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_roi_extractor import BaseRoIExtractor
from .generic_roi_extractor import GenericRoIExtractor
from .single_level_roi_extractor import SingleRoIExtractor
__all__ = ['BaseRoIExtractor', 'SingleRoIExtractor', 'GenericRoIExtractor']
| 288 | 40.285714 | 75 | py |
ERD | ERD-main/mmdet/models/roi_heads/roi_extractors/single_level_roi_extractor.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptMultiConfig
from .base_roi_extractor import BaseRoIExtractor
@MODELS.register_module()
class SingleRoIExtractor(Base... | 4,558 | 36.991667 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/roi_extractors/generic_roi_extractor.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple
from mmcv.cnn.bricks import build_plugin_layer
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import OptConfigType
from .base_roi_extractor import BaseRoIExtractor
@MODELS.register_module()
class GenericR... | 3,805 | 35.951456 | 78 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/scnet_bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple, Union
from torch import Tensor
from mmdet.registry import MODELS
from .convfc_bbox_head import ConvFCBBoxHead
@MODELS.register_module()
class SCNetBBoxHead(ConvFCBBoxHead):
"""BBox head for `SCNet <https://arxiv.org/abs/2012.10150>`_.
... | 2,836 | 26.813725 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/multi_instance_bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from torch import Tensor, nn
from mmdet.mo... | 27,194 | 42.651685 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmengine.config import ConfigDict
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
from torch import Tensor
from torc... | 32,325 | 44.593794 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/sabl_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Tuple
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from torch import ... | 30,500 | 43.527007 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .bbox_head import BBoxHead
from .convfc_bbox_head import (ConvFCBBoxHead, Shared2FCBBoxHead,
Shared4Conv1FCBBoxHead)
from .dii_head import DIIHead
from .double_bbox_head import DoubleConvFCBBoxHead
from .multi_instance_bbox_head import ... | 609 | 37.125 | 76 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/dii_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
import torch.nn as nn
from mmcv.cnn import build_activation_layer, build_norm_layer
from mmcv.cnn.bricks.transformer import FFN, MultiheadAttention
from mmengine.config import ConfigDict
from mmengine.model import bias_init_with_prob
... | 19,266 | 44.548463 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/convfc_bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, Union
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.config import ConfigDict
from torch import Tensor
from mmdet.registry import MODELS
from .bbox_head import BBoxHead
@MODELS.register_module()
class ConvFCBBox... | 9,510 | 37.044 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/double_bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule, ModuleList
from torch import Tensor
from mmdet.models.backbones.resnet import Bottleneck
from mmdet.registry import MODELS
from mmdet.utils import Confi... | 6,769 | 32.85 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/shared_heads/res_layer.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
from mmengine.model import BaseModule
from mmdet.models.backbones import ResNet
from mmdet.models.layers import ResLayer as _ResLayer
from mmdet.registry import MODELS
@MODELS.register_module()
class ResLayer(BaseModule):
def... | 2,545 | 30.825 | 76 | py |
ERD | ERD-main/mmdet/models/roi_heads/shared_heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .res_layer import ResLayer
__all__ = ['ResLayer']
| 104 | 20 | 47 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/grid_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Tuple
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.config import ConfigDict
from mmengine.model import BaseModule
from mmengine.structures import Instanc... | 20,849 | 41.464358 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/dynamic_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
import torch.nn as nn
from mmengine.config import ConfigDict
from torch import Tensor
from mmdet.models.task_modules import SamplingResult
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, InstanceList, OptConfigT... | 6,739 | 39.359281 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/coarse_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn import ConvModule, Linear
from mmengine.model import ModuleList
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import MultiConfig
from .fcn_mask_head import FCNMaskHead
@MODELS.register_module()
class CoarseMaskHead(FCNMaskHea... | 3,887 | 34.027027 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/maskiou_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import Conv2d, Linear, MaxPool2d
from mmengine.config import ConfigDict
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
from torch import... | 11,667 | 40.971223 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/scnet_semantic_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models.layers import ResLayer, SimplifiedBasicBlock
from mmdet.registry import MODELS
from .fused_semantic_head import FusedSemanticHead
@MODELS.register_module()
class SCNetSemanticHead(FusedSemanticHead):
"""Mask head for `SCNet <https://arxiv.org/abs/2... | 988 | 33.103448 | 72 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/feature_relay_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch.nn as nn
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import MultiConfig
@MODELS.register_module()
class FeatureRelayHead(BaseModule):
"""Feature Relay He... | 2,295 | 32.275362 | 78 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/global_context_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.models.layers import ResLayer, SimplifiedBasicBlock
from mmdet.registry import MODELS
from mmdet.utils import M... | 4,458 | 33.835938 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .coarse_mask_head import CoarseMaskHead
from .dynamic_mask_head import DynamicMaskHead
from .fcn_mask_head import FCNMaskHead
from .feature_relay_head import FeatureRelayHead
from .fused_semantic_head import FusedSemanticHead
from .global_context_head import GlobalCo... | 817 | 37.952381 | 70 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/htc_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Union
from mmcv.cnn import ConvModule
from torch import Tensor
from mmdet.registry import MODELS
from .fcn_mask_head import FCNMaskHead
@MODELS.register_module()
class HTCMaskHead(FCNMaskHead):
"""Mask head for HTC.
Args:
... | 2,190 | 32.19697 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/fcn_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, build_conv_layer, build_upsample_layer
from mmcv.ops.carafe import CARAFEPack
from mmengine.config import ConfigDict
from... | 20,127 | 41.374737 | 85 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/fused_semantic_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import Tuple
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.config import ConfigDict
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from mm... | 4,978 | 33.337931 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/mask_point_head.py | # Copyright (c) OpenMMLab. All rights reserved.
# Modified from https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend/point_head/point_head.py # noqa
from typing import List, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops import point_sample, rel_roi_po... | 12,664 | 43.438596 | 126 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/scnet_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models.layers import ResLayer, SimplifiedBasicBlock
from mmdet.registry import MODELS
from .fcn_mask_head import FCNMaskHead
@MODELS.register_module()
class SCNetMaskHead(FCNMaskHead):
"""Mask head for `SCNet <https://arxiv.org/abs/2012.10150>`_.
Arg... | 973 | 32.586207 | 72 | py |
ERD | ERD-main/mmdet/models/losses/ghm_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmdet.registry import MODELS
from .utils import weight_reduce_loss
def _expand_onehot_labels(labels, label_weights, label_channels):
bin_labels = labels.new_full((labels.size(0), label_channels... | 7,928 | 36.051402 | 79 | py |
ERD | ERD-main/mmdet/models/losses/mse_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weighted_loss
@weighted_loss
def mse_loss(pred: Tensor, target: Tensor) -> Tensor:
"""A Wrapper of MSE l... | 2,267 | 31.4 | 78 | py |
ERD | ERD-main/mmdet/models/losses/dice_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmdet.registry import MODELS
from .utils import weight_reduce_loss
def dice_loss(pred,
target,
weight=None,
eps=1e-3,
reduction='mean',
naive_dice=False,
... | 5,329 | 35.258503 | 78 | py |
ERD | ERD-main/mmdet/models/losses/pisa_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
from torch import Tensor
from mmdet.structures.bbox import bbox_overlaps
from ..task_modules.coders import BaseBBoxCoder
from ..task_modules.samplers import SamplingResult
def isr_p(cls_score:... | 7,670 | 39.803191 | 79 | py |
ERD | ERD-main/mmdet/models/losses/balanced_l1_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import torch.nn as nn
from mmdet.registry import MODELS
from .utils import weighted_loss
@weighted_loss
def balanced_l1_loss(pred,
target,
beta=1.0,
alpha=0.5,
... | 4,205 | 33.195122 | 79 | py |
ERD | ERD-main/mmdet/models/losses/iou_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import warnings
from typing import Optional
import torch
import torch.nn as nn
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures.bbox import bbox_overlaps
from .utils import weighted_loss
@weighted_loss
def iou_loss(pred: Ten... | 26,172 | 34.131544 | 79 | py |
ERD | ERD-main/mmdet/models/losses/smooth_l1_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
import torch.nn as nn
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weighted_loss
@weighted_loss
def smooth_l1_loss(pred: Tensor, target: Tensor, beta: float = 1.0) -> Tensor:
"""Smooth L1 lo... | 4,971 | 30.468354 | 78 | py |
ERD | ERD-main/mmdet/models/losses/gfocal_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from functools import partial
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmdet.models.losses.utils import weighted_loss
from mmdet.registry import MODELS
@weighted_loss
def quality_focal_loss(pred, target, beta=2.0):
r"""Quality Focal ... | 11,838 | 38.996622 | 79 | py |
ERD | ERD-main/mmdet/models/losses/varifocal_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weight_reduce_loss
def varifocal_loss(pred: Tensor,
target: Tensor,
we... | 5,749 | 39.492958 | 79 | py |
ERD | ERD-main/mmdet/models/losses/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import functools
from typing import Callable, Optional
import torch
import torch.nn.functional as F
from torch import Tensor
def reduce_loss(loss: Tensor, reduction: str) -> Tensor:
"""Reduce loss as specified.
Args:
loss (Tensor): Elementwise loss ten... | 4,256 | 32.785714 | 79 | py |
ERD | ERD-main/mmdet/models/losses/seesaw_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import MODELS
from .accuracy import accuracy
from .cross_entropy_loss import cross_entropy
from .utils import ... | 10,723 | 37.437276 | 79 | py |
ERD | ERD-main/mmdet/models/losses/ae_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmdet.registry import MODELS
def ae_loss_per_image(tl_preds, br_preds, match):
"""Associative Embedding Loss in one image.
Associative Embedding Loss including two parts: pull loss and pus... | 3,810 | 36.362745 | 143 | py |
ERD | ERD-main/mmdet/models/losses/accuracy.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
def accuracy(pred, target, topk=1, thresh=None):
"""Calculate accuracy according to the prediction and target.
Args:
pred (torch.Tensor): The model prediction, shape (N, num_class)
target (torch.Tensor): The target of each ... | 2,953 | 36.871795 | 79 | py |
ERD | ERD-main/mmdet/models/losses/focal_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.ops import sigmoid_focal_loss as _sigmoid_focal_loss
from mmdet.registry import MODELS
from .utils import weight_reduce_loss
# This method is only for debugging
def py_sigmoid_focal_loss(pred,... | 10,834 | 41.996032 | 79 | py |
ERD | ERD-main/mmdet/models/losses/cross_entropy_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmdet.registry import MODELS
from .utils import weight_reduce_loss
def cross_entropy(pred,
label,
weight=None,
reduction='mean... | 12,148 | 39.228477 | 132 | py |
ERD | ERD-main/mmdet/models/losses/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .accuracy import Accuracy, accuracy
from .ae_loss import AssociativeEmbeddingLoss
from .balanced_l1_loss import BalancedL1Loss, balanced_l1_loss
from .cross_entropy_loss import (CrossEntropyLoss, binary_cross_entropy,
cross_entropy, m... | 1,747 | 50.411765 | 79 | py |
ERD | ERD-main/mmdet/models/losses/gaussian_focal_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Union
import torch.nn as nn
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weight_reduce_loss, weighted_loss
@weighted_loss
def gaussian_focal_loss(pred: Tensor,
gaussian_target: Tenso... | 7,689 | 40.122995 | 108 | py |
ERD | ERD-main/mmdet/models/losses/kd_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weighted_loss
@weighted_loss
def knowledge_distillation_kl_div_loss(pred: Tensor,
... | 3,123 | 31.541667 | 78 | py |
ERD | ERD-main/mmdet/models/backbones/pvt.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import warnings
from collections import OrderedDict
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Conv2d, build_activation_layer, build_norm_layer
from mmcv.cnn.bricks.drop import build_dropout
from... | 26,272 | 38.448949 | 89 | py |
ERD | ERD-main/mmdet/models/backbones/hrnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmengine.model import BaseModule, ModuleList, Sequential
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.registry import MODELS
from .resnet import BasicBlock... | 23,108 | 38.167797 | 79 | py |
ERD | ERD-main/mmdet/models/backbones/regnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import numpy as np
import torch.nn as nn
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmdet.registry import MODELS
from .resnet import ResNet
from .resnext import Bottleneck
@MODELS.register_module()
class RegNet(ResNet):
"""RegNet ... | 13,604 | 37.109244 | 79 | py |
ERD | ERD-main/mmdet/models/backbones/mobilenet_v2.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.registry import MODELS
from ..layers import InvertedResidual
from ..utils import make_divisible
@MO... | 7,621 | 37.301508 | 78 | py |
ERD | ERD-main/mmdet/models/backbones/swin.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from collections import OrderedDict
from copy import deepcopy
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.checkpoint as cp
from mmcv.cnn import build_norm_layer
from mmcv.cnn.bricks.transformer import FFN, build_d... | 31,958 | 37.97439 | 79 | py |
ERD | ERD-main/mmdet/models/backbones/trident_resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.checkpoint as cp
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmengine.model import BaseModule
from torch.nn.modules.utils import _pair
from mmdet.models.backbones.resne... | 11,120 | 36.19398 | 79 | py |
ERD | ERD-main/mmdet/models/backbones/detectors_resnext.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmdet.registry import MODELS
from .detectors_resnet import Bottleneck as _Bottleneck
from .detectors_resnet import DetectoRS_ResNet
class Bottleneck(_Bottleneck):
expansion = 4
def __ini... | 3,919 | 30.612903 | 77 | py |
ERD | ERD-main/mmdet/models/backbones/efficientnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import math
from functools import partial
import torch
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn.bricks import ConvModule, DropPath
from mmengine.model import BaseModule, Sequential
from mmdet.registry import MODELS
from ..layer... | 16,240 | 37.761337 | 79 | py |
ERD | ERD-main/mmdet/models/backbones/resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import build_conv_layer, build_norm_layer, build_plugin_layer
from mmengine.model import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.registry import MODEL... | 23,840 | 34.424963 | 79 | py |
ERD | ERD-main/mmdet/models/backbones/detectors_resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmengine.logging import MMLogger
from mmengine.model import Sequential, constant_init, kaiming_init
from mmengine.runner.checkpoint import load_checkpoin... | 12,764 | 35.059322 | 79 | py |
ERD | ERD-main/mmdet/models/backbones/ssd_vgg.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
from mmcv.cnn import VGG
from mmengine.model import BaseModule
from mmdet.registry import MODELS
from ..necks import ssd_neck
@MODELS.register_module()
class SSDVGG(VGG, BaseModule):
"""VGG Backbone network for single-shot-det... | 4,707 | 35.496124 | 79 | py |
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