repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
mmdetection | mmdet/structures/bbox/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_boxes import BaseBoxes
from .bbox_overlaps import bbox_overlaps
from .box_type import (autocast_box_type, convert_box_type, get_box_type,
register_box, register_box_converter)
from .horizontal_boxes import HorizontalBoxes
from .transforms... | 26 | 1,444 |
mmdetection | mmdet/structures/bbox/bbox_overlaps.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
def fp16_clamp(x, min=None, max=None):
if not x.is_cuda and x.dtype == torch.float16:
# clamp for cpu float16, tensor fp16 has no clamp implementation
return x.float().clamp(min, max).half()
return x.clamp(min, max)
def bbox_overl... | 200 | 7,323 |
mmdetection | mmdet/structures/bbox/transforms.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import torch
from torch import Tensor
from mmdet.structures.bbox import BaseBoxes
def find_inside_bboxes(bboxes: Tensor, img_h: int, img_w: int) -> Tensor:
"""Find bboxes as long as a par... | 499 | 17,054 |
mmdetection | mmdet/structures/bbox/horizontal_boxes.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, TypeVar, Union
import cv2
import numpy as np
import torch
from torch import BoolTensor, Tensor
from mmdet.structures.mask.structures import BitmapMasks, PolygonMasks
from .base_boxes import BaseBoxes
from .bbox_overlaps import bbox_ov... | 433 | 17,239 |
mmdetection | mmdet/structures/bbox/box_type.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Callable, Optional, Tuple, Type, Union
import numpy as np
import torch
from torch import Tensor
from .base_boxes import BaseBoxes
BoxType = Union[np.ndarray, Tensor, BaseBoxes]
box_types: dict = {}
_box_type_to_name: dict = {}
box_converters: dict =... | 297 | 10,566 |
mmdetection | mmdet/models/dense_heads/grounding_dino_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import math
from typing import Dict, List, Optional, Tuple, Union
import torch
import torch.nn as nn
from mmcv.cnn import Linear
from mmengine.model import constant_init
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.models.... | 775 | 37,020 |
mmdetection | mmdet/models/dense_heads/yolox_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import List, Optional, Sequence, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from mmcv.ops.nms import batched_nms
from mmengine.config import ConfigD... | 619 | 26,925 |
mmdetection | mmdet/models/dense_heads/solo_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import mmcv
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.models.utils.misc ... | 1,264 | 52,112 |
mmdetection | mmdet/models/dense_heads/dab_detr_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import torch.nn as nn
from mmcv.cnn import Linear
from mmengine.model import bias_init_with_prob, constant_init
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import InstanceLi... | 107 | 4,553 |
mmdetection | mmdet/models/dense_heads/pisa_retinanet_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import InstanceList, OptInstanceList
from ..losses import carl_loss, isr_p
from ..utils import images_to_levels
from .retina_head import RetinaHead
@MODELS... | 155 | 6,298 |
mmdetection | mmdet/models/dense_heads/condinst_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import Dict, List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, Scale
from mmengine.config import ConfigDict
from mmengine.model import BaseModule, kaiming_init
from mmengine.s... | 1,227 | 53,738 |
mmdetection | mmdet/models/dense_heads/boxinst_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
import torch.nn.functional as F
from mmengine import MessageHub
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import InstanceList
from ..utils.misc import unf... | 253 | 10,963 |
mmdetection | mmdet/models/dense_heads/rpn_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmcv.ops import batched_nms
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
fr... | 303 | 12,882 |
mmdetection | mmdet/models/dense_heads/lad_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional
import torch
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.structures.bbox import bbox_overlaps
from mmdet.utils import InstanceList, OptInstanceList
from ..utils import le... | 227 | 9,938 |
mmdetection | mmdet/models/dense_heads/vfnet_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple, Union
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, Scale
from mmcv.ops import DeformConv2d
from torch import Tensor
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.structures.bbox import ... | 723 | 30,913 |
mmdetection | mmdet/models/dense_heads/paa_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import numpy as np
import torch
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures.bbox import bbox_overlaps
from mmdet.utils import (ConfigType, Instance... | 731 | 33,336 |
mmdetection | mmdet/models/dense_heads/autoassign_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Sequence, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Scale
from mmengine.model import bias_init_with_prob, normal_init
from mmengine.structures import InstanceData
from torch import Tensor
... | 525 | 23,317 |
mmdetection | mmdet/models/dense_heads/deformable_detr_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import Dict, List, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import Linear
from mmengine.model import bias_init_with_prob, constant_init
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleLi... | 330 | 15,781 |
mmdetection | mmdet/models/dense_heads/rtmdet_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple, Union
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule, Scale, is_norm
from mmengine.model import bias_init_with_prob, constant_init, normal_init
from mmengine.structures import Ins... | 693 | 29,566 |
mmdetection | mmdet/models/dense_heads/cascade_rpn_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from __future__ import division
import copy
from typing import Dict, List, Optional, Tuple, Union
import torch
import torch.nn as nn
from mmcv.ops import DeformConv2d
from mmengine.config import ConfigDict
from mmengine.model import BaseModule, ModuleList
from mmengine.s... | 1,111 | 48,358 |
mmdetection | mmdet/models/dense_heads/fcos_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import Scale
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.models.layers import NormedConv2d
from mmdet.registry import MODELS
from mmdet.utils impor... | 477 | 20,689 |
mmdetection | mmdet/models/dense_heads/pisa_ssd_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Union
import torch
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import InstanceList, OptInstanceList
from ..losses import CrossEntropyLoss, SmoothL1Loss, carl_loss, isr_p
from ..utils import multi_apply
from ... | 183 | 7,998 |
mmdetection | mmdet/models/dense_heads/gfl_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, Scale
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from torch import Tensor
from... | 668 | 29,549 |
mmdetection | mmdet/models/dense_heads/solov2_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import List, Optional, Tuple
import mmcv
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
f... | 800 | 33,478 |
mmdetection | mmdet/models/dense_heads/fsaf_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Tuple
import numpy as np
import torch
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import InstanceList, OptInstanceList, OptMultiConfig
from ..losses.acc... | 459 | 20,957 |
mmdetection | mmdet/models/dense_heads/centernet_update_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Sequence, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import Scale
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures.bbox import bbox2distance... | 625 | 27,030 |
mmdetection | mmdet/models/dense_heads/yolact_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import List, Optional
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule, ModuleList
from mmengine.structures import InstanceData
from torch i... | 1,194 | 50,617 |
mmdetection | mmdet/models/dense_heads/yolo_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) 2019 Western Digital Corporation or its affiliates.
import copy
import warnings
from typing import List, Optional, Sequence, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, is_norm
from mmengine.m... | 528 | 22,709 |
mmdetection | mmdet/models/dense_heads/sabl_retina_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import ... | 707 | 31,550 |
mmdetection | mmdet/models/dense_heads/yolof_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, is_norm
from mmengine.model import bias_init_with_prob, constant_init, normal_init
from mmengine.structures import InstanceData
from torch import Tensor
from mmd... | 400 | 17,384 |
mmdetection | mmdet/models/dense_heads/ld_head.py | .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 bbox_overlaps
from mmdet.utils import ConfigType, InstanceList, OptInstanceList, reduce_mean
... | 258 | 10,748 |
mmdetection | mmdet/models/dense_heads/guided_anchor_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
from mmcv.ops import DeformConv2d, MaskedConv2d
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS, TAS... | 995 | 44,103 |
mmdetection | mmdet/models/dense_heads/fovea_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops import DeformConv2d
from mmengine.config import ConfigDict
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
f... | 510 | 21,448 |
mmdetection | mmdet/models/dense_heads/anchor_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import List, Optional, Tuple, Union
import torch
import torch.nn as nn
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.structures.bbox import BaseBoxes, cat_boxes,... | 531 | 24,816 |
mmdetection | mmdet/models/dense_heads/centernet_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
from mmcv.ops import batched_nms
from mmengine.config import ConfigDict
from mmengine.model import bias_init_with_prob, normal_init
from mmengine.structures import InstanceData
from torch import ... | 448 | 19,870 |
mmdetection | mmdet/models/dense_heads/conditional_detr_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import torch
import torch.nn as nn
from mmengine.model import bias_init_with_prob
from torch import Tensor
from mmdet.models.layers.transformer import inverse_sigmoid
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from... | 169 | 7,186 |
mmdetection | mmdet/models/dense_heads/atss_vlfusion_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import math
from typing import Callable, List, Optional, Sequence, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Scale
from mmcv.ops.modulated_deform_conv import ModulatedDeformConv2d
from mmengine.config... | 950 | 38,542 |
mmdetection | mmdet/models/dense_heads/base_mask_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from typing import List, Tuple, Union
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.structures import SampleList
from mmdet.utils import InstanceList, OptInstanceList, OptMultiConfig
from ..utils import... | 129 | 4,989 |
mmdetection | mmdet/models/dense_heads/base_dense_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from abc import ABCMeta, abstractmethod
from inspect import signature
from typing import List, Optional, Tuple
import torch
from mmcv.ops import batched_nms
from mmengine.config import ConfigDict
from mmengine.model import BaseModule, constant_init
from mmeng... | 584 | 24,505 |
mmdetection | mmdet/models/dense_heads/retina_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmdet.registry import MODELS
from .anchor_head import AnchorHead
@MODELS.register_module()
class RetinaHead(AnchorHead):
r"""An anchor-based head used in `RetinaNet
<https://arxiv.org/pdf/1708.02002.pdf... | 121 | 4,284 |
mmdetection | mmdet/models/dense_heads/ssd_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Sequence, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from torch import Tensor
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.ut... | 363 | 15,515 |
mmdetection | mmdet/models/dense_heads/anchor_free_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import abstractmethod
from typing import Any, List, Sequence, Tuple, Union
import torch.nn as nn
from mmcv.cnn import ConvModule
from numpy import ndarray
from torch import Tensor
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.utils import (ConfigType... | 318 | 13,049 |
mmdetection | mmdet/models/dense_heads/detr_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Linear
from mmcv.cnn.bricks.transformer import FFN
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
from torch i... | 635 | 29,153 |
mmdetection | mmdet/models/dense_heads/reppoints_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Sequence, Tuple
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops import DeformConv2d
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from torch import Te... | 886 | 40,982 |
mmdetection | mmdet/models/dense_heads/ddq_detr_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import Dict, List, Tuple
import torch
from mmengine.model import bias_init_with_prob, constant_init
from torch import Tensor, nn
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.structures.bbox import bbox_cxcy... | 551 | 26,076 |
mmdetection | mmdet/models/dense_heads/atss_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, Scale
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import (ConfigType, Inst... | 525 | 23,312 |
mmdetection | mmdet/models/dense_heads/tood_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, Scale
from mmcv.ops import deform_conv2d
from mmengine import MessageHub
from mmengine.config import ConfigDict
from mmengine.mode... | 806 | 36,487 |
mmdetection | mmdet/models/dense_heads/nasfcos_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import torch.nn as nn
from mmcv.cnn import ConvModule, Scale
from mmdet.models.dense_heads.fcos_head import FCOSHead
from mmdet.registry import MODELS
from mmdet.utils import OptMultiConfig
@MODELS.register_module()
class NASFCOSHead(FCOSHead):
"""Anch... | 115 | 4,776 |
mmdetection | mmdet/models/dense_heads/dino_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Tuple
import torch
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.structures.bbox import (bbox_cxcywh_to_xyxy, bbox_overlaps,
... | 480 | 24,159 |
mmdetection | mmdet/models/dense_heads/dense_test_mixins.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import sys
import warnings
from inspect import signature
import torch
from mmcv.ops import batched_nms
from mmengine.structures import InstanceData
from mmdet.structures.bbox import bbox_mapping_back
from ..test_time_augs import merge_aug_proposals
if sys.version_info ... | 216 | 9,048 |
mmdetection | mmdet/models/dense_heads/rtmdet_ins_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import math
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, is_norm
from mmcv.ops import batched_nms
from mmengine.model import (BaseModule, bias_init_with_prob, cons... | 1,035 | 43,632 |
mmdetection | mmdet/models/dense_heads/ddod_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, Scale
from mmengine.model import bias_init_with_prob, normal_init
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.regi... | 795 | 36,276 |
mmdetection | mmdet/models/dense_heads/ga_retina_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops import MaskedConv2d
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import OptConfigType, OptMultiConfig
from .guided_anchor_head import FeatureAdapt... | 121 | 4,224 |
mmdetection | mmdet/models/dense_heads/retina_sepbn_head.py | .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 bias_init_with_prob, normal_init
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import OptConfigType, OptMultiConfig
from .anchor_head ... | 128 | 4,841 |
mmdetection | mmdet/models/dense_heads/ga_rpn_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import List, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.ops import nms
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import ConfigT... | 223 | 9,455 |
mmdetection | mmdet/models/dense_heads/corner_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from logging import warning
from math import ceil, log
from typing import List, Optional, Sequence, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops import CornerPool, batched_nms
from mmengine.config import ConfigDict
from mmengine.... | 1,085 | 49,393 |
mmdetection | mmdet/models/dense_heads/maskformer_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Conv2d
from mmengine.model import caffe2_xavier_init
from mmengine.structures import InstanceData, PixelData
from torch import Te... | 602 | 26,597 |
mmdetection | mmdet/models/dense_heads/centripetal_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops import DeformConv2d
from mmengine.model import normal_init
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import (ConfigType, Instan... | 460 | 21,678 |
mmdetection | mmdet/models/dense_heads/free_anchor_retina_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
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.bbox import bbox_overlaps
from mmdet.utils import InstanceList, OptConfigTy... | 313 | 12,824 |
mmdetection | mmdet/models/dense_heads/embedding_rpn_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
import torch.nn as nn
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures.bbox import bbox_cxcywh_to_xyxy
from mmdet.stru... | 133 | 5,695 |
mmdetection | mmdet/models/dense_heads/mask2former_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import List, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Conv2d
from mmcv.ops import point_sample
from mmengine.model import ModuleList, caffe2_xavier_init
from mmengine.structures import InstanceD... | 460 | 21,117 |
mmdetection | mmdet/models/layers/se_layer.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from mmengine.utils import digit_version, is_tuple_of
from torch import Tensor
from mmdet.utils import MultiConfig, OptConfigType, OptMultiConfig
class SELayer(Base... | 163 | 6,523 |
mmdetection | mmdet/models/layers/msdeformattn_pixel_decoder.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Conv2d, ConvModule
from mmcv.cnn.bricks.transformer import MultiScaleDeformableAttention
from mmengine.model import (BaseModule, ModuleList, caff... | 247 | 10,605 |
mmdetection | mmdet/models/layers/bbox_nms.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, Union
import torch
from mmcv.ops.nms import batched_nms
from torch import Tensor
from mmdet.structures.bbox import bbox_overlaps
from mmdet.utils import ConfigType
def multiclass_nms(
multi_bboxes: Tensor,
multi_scores: Tens... | 185 | 6,987 |
mmdetection | mmdet/models/layers/dropblock.py | .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
eps = 1e-6
@MODELS.register_module()
class DropBlock(nn.Module):
"""Randomly drop some regions of feature maps.
Please refer to the method proposed in `DropB... | 87 | 2,918 |
mmdetection | mmdet/models/layers/conv_upsample.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule, ModuleList
class ConvUpsample(BaseModule):
"""ConvUpsample performs 2x upsampling after Conv.
There are several `ConvModule` layers. In the first few layers, ... | 68 | 2,656 |
mmdetection | mmdet/models/layers/res_layer.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmengine.model import BaseModule, Sequential
from torch import Tensor
from torch import nn as nn
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
class ResLayer(S... | 196 | 6,843 |
mmdetection | mmdet/models/layers/positional_encoding.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Optional
import torch
import torch.nn as nn
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import MultiConfig, OptMultiConfig
@MODELS.register_module()
class SinePosition... | 270 | 11,255 |
mmdetection | mmdet/models/layers/brick_wrappers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn.bricks.wrappers import NewEmptyTensorOp, obsolete_torch_version
from mmdet.registry import MODELS
if torch.__version__ == 'parrots':
TORCH_VERSION = torch.__version__
else:
# torch.... | 139 | 5,347 |
mmdetection | mmdet/models/layers/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .activations import SiLU
from .bbox_nms import fast_nms, multiclass_nms
from .brick_wrappers import (AdaptiveAvgPool2d, FrozenBatchNorm2d,
adaptive_avg_pool2d)
from .conv_upsample import ConvUpsample
from .csp_layer import CSPLayer
from .... | 66 | 3,557 |
mmdetection | mmdet/models/layers/ema.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Optional
import torch
import torch.nn as nn
from mmengine.model import ExponentialMovingAverage
from torch import Tensor
from mmdet.registry import MODELS
@MODELS.register_module()
class ExpMomentumEMA(ExponentialMovingAverage):
"""E... | 67 | 2,590 |
mmdetection | mmdet/models/layers/csp_layer.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .se_layer import ChannelAttention
clas... | 247 | 9,136 |
mmdetection | mmdet/models/layers/inverted_residual.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import ConvModule
from mmcv.cnn.bricks import DropPath
from mmengine.model import BaseModule
from .se_layer import SELayer
class InvertedResidual(BaseModule):
"""Inverted Residual Block.
A... | 131 | 4,383 |
mmdetection | mmdet/models/layers/pixel_decoder.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Conv2d, ConvModule
from mmengine.model import BaseModule, ModuleList, caffe2_xavier_init
from torch import Tensor
from mmdet.registry import MOD... | 250 | 10,136 |
mmdetection | mmdet/models/layers/normed_predictor.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmengine.utils import digit_version
from torch import Tensor
from mmdet.registry import MODELS
MODELS.register_module('Linear', module=nn.Linear)
@MODELS.register_module(name='NormedLinear')
class... | 100 | 3,414 |
mmdetection | mmdet/models/layers/matrix_nms.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
def mask_matrix_nms(masks,
labels,
scores,
filter_thr=-1,
nms_pre=-1,
max_num=-1,
kernel='gaussian',
sigma=2.0,
... | 122 | 4,622 |
mmdetection | mmdet/models/layers/activations.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmengine.utils import digit_version
from mmdet.registry import MODELS
if digit_version(torch.__version__) >= digit_version('1.7.0'):
from torch.nn import SiLU
else:
class SiLU(nn.Module):
"""Sigmoid Weighted Liner... | 23 | 557 |
mmdetection | mmdet/models/layers/transformer/ddq_detr_layers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import torch
from mmcv.ops import batched_nms
from torch import Tensor, nn
from mmdet.structures.bbox import bbox_cxcywh_to_xyxy
from .deformable_detr_layers import DeformableDetrTransformerDecoder
from .utils import MLP, coordinate_to_encoding, inverse_sigm... | 224 | 10,903 |
mmdetection | mmdet/models/layers/transformer/conditional_detr_layers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.cnn import build_norm_layer
from mmcv.cnn.bricks.transformer import FFN
from torch import Tensor
from torch.nn import ModuleList
from .detr_layers import DetrTransformerDecoder, DetrTransformerDecoderLayer
from .utils import MLP, ConditionalAttenti... | 171 | 7,563 |
mmdetection | mmdet/models/layers/transformer/utils.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import warnings
from typing import Optional, Sequence, Tuple, Union
import torch
import torch.nn.functional as F
from mmcv.cnn import (Linear, build_activation_layer, build_conv_layer,
build_norm_layer)
from mmcv.cnn.bricks.drop import D... | 916 | 36,929 |
mmdetection | mmdet/models/layers/transformer/dino_layers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import Tuple, Union
import torch
from mmengine.model import BaseModule
from torch import Tensor, nn
from mmdet.structures import SampleList
from mmdet.structures.bbox import bbox_xyxy_to_cxcywh
from mmdet.utils import OptConfigType
from .defo... | 563 | 27,332 |
mmdetection | mmdet/models/layers/transformer/dab_detr_layers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
import torch.nn as nn
from mmcv.cnn import build_norm_layer
from mmcv.cnn.bricks.transformer import FFN
from mmengine.model import ModuleList
from torch import Tensor
from .detr_layers import (DetrTransformerDecoder, DetrTransformerD... | 299 | 11,683 |
mmdetection | mmdet/models/layers/transformer/detr_layers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
import torch
from mmcv.cnn import build_norm_layer
from mmcv.cnn.bricks.transformer import FFN, MultiheadAttention
from mmengine import ConfigDict
from mmengine.model import BaseModule, ModuleList
from torch import Tensor
from mmdet.utils import... | 375 | 14,702 |
mmdetection | mmdet/models/layers/transformer/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .conditional_detr_layers import (ConditionalDetrTransformerDecoder,
ConditionalDetrTransformerDecoderLayer)
from .dab_detr_layers import (DABDetrTransformerDecoder,
DABDetrTransformerDecoderLayer,
... | 42 | 2,533 |
mmdetection | mmdet/models/layers/transformer/mask2former_layers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn import build_norm_layer
from mmengine.model import ModuleList
from torch import Tensor
from .deformable_detr_layers import DeformableDetrTransformerEncoder
from .detr_layers import DetrTransformerDecoder, DetrTransformerDecoderLayer
class Mask2FormerTrans... | 136 | 5,960 |
mmdetection | mmdet/models/layers/transformer/grounding_dino_layers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import build_norm_layer
from mmcv.cnn.bricks.transformer import FFN, MultiheadAttention
from mmcv.ops import MultiScaleDeformableAttention
from mmengine.model import ModuleList
from torch import Tensor
from mmdet.models.ut... | 271 | 11,894 |
mmdetection | mmdet/models/layers/transformer/deformable_detr_layers.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, Union
import torch
from mmcv.cnn import build_norm_layer
from mmcv.cnn.bricks.transformer import FFN, MultiheadAttention
from mmcv.ops import MultiScaleDeformableAttention
from mmengine.model import ModuleList
from torch import Tensor,... | 266 | 11,803 |
mmdetection | mmdet/models/test_time_augs/merge_augs.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from typing import List, Optional, Union
import numpy as np
import torch
from mmcv.ops import nms
from mmengine.config import ConfigDict
from torch import Tensor
from mmdet.structures.bbox import bbox_mapping_back
# TODO remove this, never ... | 220 | 8,469 |
mmdetection | mmdet/models/test_time_augs/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .det_tta import DetTTAModel
from .merge_augs import (merge_aug_bboxes, merge_aug_masks,
merge_aug_proposals, merge_aug_results,
merge_aug_scores)
__all__ = [
'merge_aug_bboxes', 'merge_aug_masks', 'merge_aug_prop... | 11 | 389 |
mmdetection | mmdet/models/test_time_augs/det_tta.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import torch
from mmcv.ops import batched_nms
from mmengine.model import BaseTTAModel
from mmengine.registry import MODELS
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.structures import DetDataSample
fro... | 145 | 5,568 |
mmdetection | mmdet/models/backbones/resnext.py | .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 ..layers import ResLayer
from .resnet import Bottleneck as _Bottleneck
from .resnet import ResNet
class Bottleneck(_Bottleneck):
expansion = 4
def __ini... | 155 | 5,712 |
mmdetection | mmdet/models/backbones/resnet.py | .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... | 673 | 23,840 |
mmdetection | mmdet/models/backbones/trident_resnet.py | .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... | 299 | 11,120 |
mmdetection | mmdet/models/backbones/detectors_resnext.py | .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... | 124 | 3,919 |
mmdetection | mmdet/models/backbones/regnet.py | .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 ... | 357 | 13,604 |
mmdetection | mmdet/models/backbones/pvt.py | .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... | 666 | 26,277 |
mmdetection | mmdet/models/backbones/res2net.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmengine.model import Sequential
from mmdet.registry import MODELS
from .resnet import Bottleneck as _Bottleneck
from .resnet ... | 328 | 11,661 |
mmdetection | mmdet/models/backbones/csp_darknet.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from mmengine.model import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.registry import MODELS
from ..layers import CSPLayer
class F... | 287 | 10,620 |
mmdetection | mmdet/models/backbones/mobilenet_v2.py | .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... | 199 | 7,621 |
mmdetection | mmdet/models/backbones/ssd_vgg.py | .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... | 129 | 4,707 |
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