repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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|---|---|---|---|---|---|---|
ERD | ERD-main/configs/solov2/solov2_r101-dcn_fpn_ms-3x_coco.py | _base_ = './solov2_r50_fpn_ms-3x_coco.py'
# model settings
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(checkpoint='torchvision://resnet101'),
dcn=dict(type='DCNv2', deformable_groups=1, fallback_on_stride=False),
stage_with_dcn=(False, True, True, True)),
mask_head=dic... | 457 | 31.714286 | 78 | py |
ERD | ERD-main/configs/solov2/solov2_r50_fpn_1x_coco.py | _base_ = [
'../_base_/datasets/coco_instance.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
# model settings
model = dict(
type='SOLOv2',
data_preprocessor=dict(
type='DetDataPreprocessor',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],... | 2,046 | 27.830986 | 78 | py |
ERD | ERD-main/configs/solov2/solov2-light_r34_fpn_ms-3x_coco.py | _base_ = './solov2-light_r50_fpn_ms-3x_coco.py'
# model settings
model = dict(
backbone=dict(
depth=34, init_cfg=dict(checkpoint='torchvision://resnet34')),
neck=dict(in_channels=[64, 128, 256, 512]))
| 218 | 26.375 | 70 | py |
ERD | ERD-main/configs/dab_detr/dab-detr_r50_8xb2-50e_coco.py | _base_ = [
'../_base_/datasets/coco_detection.py', '../_base_/default_runtime.py'
]
model = dict(
type='DABDETR',
num_queries=300,
with_random_refpoints=False,
num_patterns=0,
data_preprocessor=dict(
type='DetDataPreprocessor',
mean=[123.675, 116.28, 103.53],
std=[58.395,... | 5,406 | 32.79375 | 79 | py |
ERD | ERD-main/configs/lad/lad_r101-paa-r50_fpn_2xb8_coco_1x.py | _base_ = [
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
teacher_ckpt = 'https://download.openmmlab.com/mmdetection/v2.0/paa/paa_r50_fpn_1x_coco/paa_r50_fpn_1x_coco_20200821-936edec3.pth' # noqa
model = dict(
type='LAD',
data_preprocesso... | 3,956 | 29.914063 | 138 | py |
ERD | ERD-main/configs/lad/lad_r50-paa-r101_fpn_2xb8_coco_1x.py | _base_ = [
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
teacher_ckpt = 'http://download.openmmlab.com/mmdetection/v2.0/paa/paa_r101_fpn_1x_coco/paa_r101_fpn_1x_coco_20200821-0a1825a4.pth' # noqa
model = dict(
type='LAD',
data_preprocess... | 3,934 | 29.984252 | 139 | py |
ERD | ERD-main/configs/sparse_rcnn/sparse-rcnn_r101_fpn_ms-480-800-3x_coco.py | _base_ = './sparse-rcnn_r50_fpn_ms-480-800-3x_coco.py'
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(type='Pretrained',
checkpoint='torchvision://resnet101')))
| 211 | 25.5 | 61 | py |
ERD | ERD-main/configs/sparse_rcnn/sparse-rcnn_r101_fpn_300-proposals_crop-ms-480-800-3x_coco.py | _base_ = './sparse-rcnn_r50_fpn_300-proposals_crop-ms-480-800-3x_coco.py'
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(type='Pretrained',
checkpoint='torchvision://resnet101')))
| 230 | 27.875 | 73 | py |
ERD | ERD-main/configs/sparse_rcnn/sparse-rcnn_r50_fpn_1x_coco.py | _base_ = [
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
num_stages = 6
num_proposals = 100
model = dict(
type='SparseRCNN',
data_preprocessor=dict(
type='DetDataPreprocessor',
mean=[123.675, 116.28, 103.53],
std=[5... | 3,572 | 34.029412 | 79 | py |
ERD | ERD-main/docs/en/conf.py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/main/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If exte... | 3,435 | 28.367521 | 79 | py |
ERD | ERD-main/docs/zh_cn/conf.py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 3,459 | 28.07563 | 79 | py |
ERD | ERD-main/mmdet/apis/inference.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from pathlib import Path
from typing import Optional, Sequence, Union
import numpy as np
import torch
import torch.nn as nn
from mmcv.ops import RoIPool
from mmcv.transforms import Compose
from mmengine.config import Config
from mmengine.model... | 8,007 | 33.222222 | 79 | py |
ERD | ERD-main/mmdet/apis/det_inferencer.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
import warnings
from typing import Dict, Iterable, List, Optional, Sequence, Union
import mmcv
import mmengine
import numpy as np
import torch.nn as nn
from mmengine.dataset import Compose
from mmengine.fileio import (get_file_backend, i... | 24,008 | 39.624365 | 79 | py |
ERD | ERD-main/mmdet/evaluation/metrics/coco_metric.py | # Copyright (c) OpenMMLab. All rights reserved.
import datetime
import itertools
import os.path as osp
import tempfile
from collections import OrderedDict
from typing import Dict, List, Optional, Sequence, Union
import numpy as np
import torch
from mmengine.evaluator import BaseMetric
from mmengine.fileio import dump,... | 25,325 | 41.852792 | 125 | py |
ERD | ERD-main/mmdet/testing/_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from os.path import dirname, exists, join
import numpy as np
import torch
from mmengine.config import Config
from mmengine.dataset import pseudo_collate
from mmengine.structures import InstanceData, PixelData
from ..registry import TASK_UTILS
from ..structur... | 11,178 | 34.154088 | 78 | py |
ERD | ERD-main/mmdet/models/data_preprocessors/data_preprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
import random
from numbers import Number
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmengine.dist import barrier, broadcast, get_dist_info
from mmengine.logging impo... | 32,074 | 39.396725 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/conditional_detr.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict
import torch.nn as nn
from torch import Tensor
from mmdet.registry import MODELS
from ..layers import (ConditionalDetrTransformerDecoder,
DetrTransformerEncoder, SinePositionalEncoding)
from .detr import DETR
@MODELS.regis... | 3,029 | 39.4 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/two_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from typing import List, Tuple, Union
import torch
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .base import BaseDete... | 9,942 | 39.75 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/base.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from typing import Dict, List, Tuple, Union
import torch
from mmengine.model import BaseModel
from torch import Tensor
from mmdet.structures import DetDataSample, OptSampleList, SampleList
from mmdet.utils import InstanceList, Opt... | 6,255 | 38.847134 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/single_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple, Union
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import OptSampleList, SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .base import BaseDetector
@MODELS.register_mo... | 6,124 | 39.833333 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/gfl.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
from torch import Tensor
import torch
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_mod... | 5,661 | 43.582677 | 115 | py |
ERD | ERD-main/mmdet/models/detectors/detr.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Tuple
import torch
import torch.nn.functional as F
from torch import Tensor, nn
from mmdet.registry import MODELS
from mmdet.structures import OptSampleList
from ..layers import (DetrTransformerDecoder, DetrTransformerEncoder,
... | 9,383 | 42.24424 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/semi_base.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import Dict, List, Optional, Tuple, Union
import torch
import torch.nn as nn
from torch import Tensor
from mmdet.models.utils import (filter_gt_instances, rename_loss_dict,
reweight_loss_dict)
from mmdet.registry i... | 11,647 | 42.625468 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/kd_one_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
from pathlib import Path
from typing import Any, Optional, Union
import torch
import torch.nn as nn
from mmengine.config import Config
from mmengine.runner import load_checkpoint
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import Sam... | 4,987 | 39.552846 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/deformable_detr.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Dict, Tuple
import torch
import torch.nn.functional as F
from mmcv.cnn.bricks.transformer import MultiScaleDeformableAttention
from mmengine.model import xavier_init
from torch import Tensor, nn
from torch.nn.init import normal_
from mmdet... | 25,779 | 46.564576 | 132 | py |
ERD | ERD-main/mmdet/models/detectors/soft_teacher.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import List, Optional, Tuple
import torch
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.models.utils import (filter_gt_instances, rename_loss_dict,
reweight_loss_dict)
from mmdet.... | 16,860 | 43.488127 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/d2_wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.structures.bbox import BaseBoxes
from mmdet.structu... | 11,772 | 39.318493 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/rtmdet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmengine.dist import get_world_size
from mmengine.logging import print_log
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
clas... | 2,073 | 38.132075 | 77 | py |
ERD | ERD-main/mmdet/models/detectors/gfl_increment_erd.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
from collections import OrderedDict
from typing import List, Union
import torch
from mmengine import Config
from mmengine.registry import (MODELS)
from mmengine.runner.checkpoint import load_checkpoint, load_state_dict
from torch import Tensor
from ..utils imp... | 9,276 | 40.977376 | 116 | py |
ERD | ERD-main/mmdet/models/detectors/base_detr.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from typing import Dict, List, Tuple, Union
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import OptSampleList, SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .... | 14,268 | 41.84985 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/rpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
import torch
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register... | 3,380 | 40.231707 | 77 | py |
ERD | ERD-main/mmdet/models/detectors/dino.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Optional, Tuple
import torch
from torch import Tensor, nn
from torch.nn.init import normal_
from mmdet.registry import MODELS
from mmdet.structures import OptSampleList
from mmdet.utils import OptConfigType
from ..layers import (CdnQueryGenerato... | 13,511 | 46.244755 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/trident_faster_rcnn.py | # Copyright (c) OpenMMLab. All rights reserved.
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .faster_rcnn import FasterRCNN
@MODELS.register_module()
class TridentFasterRCNN(FasterRCNN):
"... | 3,358 | 39.963415 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/panoptic_two_stage_segmentor.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import List
import torch
from mmengine.structures import PixelData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .two_stag... | 9,188 | 38.102128 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/maskformer.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Tuple
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_mod... | 7,161 | 40.883041 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/single_stage_instance_seg.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import Tuple
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import OptSampleList, SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .base import BaseDetector
INF = 1e8
@MODELS.r... | 6,915 | 37.209945 | 78 | py |
ERD | ERD-main/mmdet/models/detectors/dab_detr.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Tuple
from mmengine.model import uniform_init
from torch import Tensor, nn
from mmdet.registry import MODELS
from ..layers import SinePositionalEncoding
from ..layers.transformer import (DABDetrTransformerDecoder,
... | 5,907 | 41.2 | 79 | py |
ERD | ERD-main/mmdet/models/detectors/lad.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
import torch.nn as nn
from mmengine.runner import load_checkpoint
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import ConfigType, OptConfigType
from ..utils.m... | 3,880 | 40.287234 | 74 | py |
ERD | ERD-main/mmdet/models/seg_heads/base_semantic_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from typing import Dict, List, Tuple, Union
import torch.nn.functional as F
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils ... | 3,866 | 32.921053 | 79 | py |
ERD | ERD-main/mmdet/models/seg_heads/panoptic_fpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmengine.model import ModuleList
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import Conf... | 6,975 | 38.862857 | 79 | py |
ERD | ERD-main/mmdet/models/seg_heads/panoptic_fusion_heads/maskformer_fusion_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
import torch.nn.functional as F
from mmengine.structures import InstanceData, PixelData
from torch import Tensor
from mmdet.evaluation.functional import INSTANCE_OFFSET
from mmdet.registry import MODELS
from mmdet.structures import S... | 10,522 | 38.411985 | 79 | py |
ERD | ERD-main/mmdet/models/seg_heads/panoptic_fusion_heads/heuristic_fusion_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
from mmengine.structures import InstanceData, PixelData
from torch import Tensor
from mmdet.evaluation.functional import INSTANCE_OFFSET
from mmdet.registry import MODELS
from mmdet.utils import InstanceList, OptConfigType, OptMultiC... | 5,702 | 34.64375 | 79 | py |
ERD | ERD-main/mmdet/models/necks/yolox_pafpn.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 mmdet.registry import MODELS
from ..layers import CSPLayer
@MODELS.register_module()
class YOLOXPAFPN(BaseModule):
... | 5,658 | 35.044586 | 78 | py |
ERD | ERD-main/mmdet/models/necks/ssd_neck.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 mmdet.registry import MODELS
@MODELS.register_module()
class SSDNeck(BaseModule):
"""Extra layers of SSD backbone to generate... | 4,901 | 36.707692 | 77 | py |
ERD | ERD-main/mmdet/models/necks/rfp.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmengine.model import BaseModule, ModuleList, constant_init, xavier_init
from mmdet.registry import MODELS
from .fpn import FPN
class ASPP(BaseModule):
"""ASPP (Atrous Spatial Pyramid Pooling)
... | 5,024 | 36.222222 | 78 | py |
ERD | ERD-main/mmdet/models/necks/dilated_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import ConvModule, is_norm
from mmengine.model import caffe2_xavier_init, constant_init, normal_init
from torch.nn import BatchNorm2d
from mmdet.registry import MODELS
class Bottleneck(nn.Module):
"""Bottleneck block for DilatedE... | 3,967 | 35.072727 | 79 | py |
ERD | ERD-main/mmdet/models/necks/fpg.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from mmdet.registry import MODELS
class Transition(BaseModule):
"""Base class for transition.
Args:
in_channels (int): Number of... | 16,397 | 39.289926 | 79 | py |
ERD | ERD-main/mmdet/models/necks/pafpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmdet.registry import MODELS
from .fpn import FPN
@MODELS.register_module()
class PAFPN(FPN):
"""Path Aggregation Network for Instance Segmentation.
This is an implement... | 6,277 | 38.734177 | 79 | py |
ERD | ERD-main/mmdet/models/necks/nasfcos_fpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmcv.ops.merge_cells import ConcatCell
from mmengine.model import BaseModule, caffe2_xavier_init
from mmdet.registry import MODELS
@MODELS.register_module()
class NASFCOS_FPN(Bas... | 6,713 | 38.263158 | 79 | py |
ERD | ERD-main/mmdet/models/necks/fpn_carafe.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import ConvModule, build_upsample_layer
from mmcv.ops.carafe import CARAFEPack
from mmengine.model import BaseModule, ModuleList, xavier_init
from mmdet.registry import MODELS
@MODELS.register_module()
class FPN_CARAFE(BaseModule):
... | 11,159 | 39.434783 | 79 | py |
ERD | ERD-main/mmdet/models/necks/ct_resnet_neck.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Sequence, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from mmdet.registry import MODELS
from mmdet.utils import OptMultiConfig
@MODELS.register_module()
class CTResNetNec... | 4,038 | 38.213592 | 75 | py |
ERD | ERD-main/mmdet/models/necks/ssh.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import torch
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
class SSHContextModule... | 7,456 | 33.364055 | 77 | py |
ERD | ERD-main/mmdet/models/necks/cspnext_pafpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Sequence, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import Confi... | 6,178 | 35.134503 | 79 | py |
ERD | ERD-main/mmdet/models/necks/fpn.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple, Union
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, MultiConfig, ... | 9,420 | 41.436937 | 79 | py |
ERD | ERD-main/mmdet/models/necks/nas_fpn.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops.merge_cells import GlobalPoolingCell, SumCell
from mmengine.model import BaseModule, ModuleList
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils... | 6,878 | 38.994186 | 79 | py |
ERD | ERD-main/mmdet/models/necks/dyhead.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import build_activation_layer, build_norm_layer
from mmcv.ops.modulated_deform_conv import ModulatedDeformConv2d
from mmengine.model import BaseModule, constant_init, normal_init
from mmdet.registry impo... | 6,859 | 38.425287 | 78 | py |
ERD | ERD-main/mmdet/models/necks/bfp.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmcv.cnn.bricks import NonLocal2d
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import OptConfigType, OptMul... | 4,090 | 35.526786 | 79 | py |
ERD | ERD-main/mmdet/models/necks/yolo_neck.py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) 2019 Western Digital Corporation or its affiliates.
from typing import List, Tuple
import torch
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODE... | 5,835 | 38.972603 | 77 | py |
ERD | ERD-main/mmdet/models/necks/channel_mapper.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.registry import MODELS
from mmdet.utils import OptConfigType, OptMultiConfig
@MODELS.register_module()
class ... | 4,262 | 38.841121 | 79 | py |
ERD | ERD-main/mmdet/models/necks/hrfpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from torch.utils.checkpoint import checkpoint
from mmdet.registry import MODELS
@MODELS.register_module()
class HRFPN(BaseModule):
... | 3,519 | 33.851485 | 79 | py |
ERD | ERD-main/mmdet/models/layers/csp_layer.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... | 9,136 | 35.991903 | 79 | py |
ERD | ERD-main/mmdet/models/layers/msdeformattn_pixel_decoder.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... | 10,613 | 41.798387 | 79 | py |
ERD | ERD-main/mmdet/models/layers/dropblock.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... | 2,918 | 32.551724 | 79 | py |
ERD | ERD-main/mmdet/models/layers/se_layer.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... | 6,523 | 39.02454 | 79 | py |
ERD | ERD-main/mmdet/models/layers/normed_predictor.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import MODELS
MODELS.register_module('Linear', module=nn.Linear)
@MODELS.register_module(name='NormedLinear')
class NormedLinear(nn.Linear):
"""Normaliz... | 3,343 | 32.777778 | 77 | py |
ERD | ERD-main/mmdet/models/layers/pixel_decoder.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... | 10,136 | 39.548 | 79 | py |
ERD | ERD-main/mmdet/models/layers/conv_upsample.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, ... | 2,656 | 38.073529 | 78 | py |
ERD | ERD-main/mmdet/models/layers/bbox_nms.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... | 6,987 | 36.772973 | 78 | py |
ERD | ERD-main/mmdet/models/layers/res_layer.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... | 6,843 | 33.918367 | 79 | py |
ERD | ERD-main/mmdet/models/layers/brick_wrappers.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
if torch.__version__ == 'parrots':
TORCH_VERSION = torch.__version__
else:
# torch.__version__ could be 1.3.1+cu92, we... | 1,856 | 34.711538 | 77 | py |
ERD | ERD-main/mmdet/models/layers/matrix_nms.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,
... | 4,622 | 36.893443 | 77 | py |
ERD | ERD-main/mmdet/models/layers/positional_encoding.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
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 SinePositionalEncoding(BaseModule):
... | 6,710 | 38.710059 | 79 | py |
ERD | ERD-main/mmdet/models/layers/inverted_residual.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... | 4,383 | 32.465649 | 78 | py |
ERD | ERD-main/mmdet/models/layers/activations.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... | 557 | 23.26087 | 62 | py |
ERD | ERD-main/mmdet/models/layers/ema.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... | 2,614 | 38.029851 | 78 | py |
ERD | ERD-main/mmdet/models/layers/transformer/dino_layers.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... | 26,710 | 47.301989 | 79 | py |
ERD | ERD-main/mmdet/models/layers/transformer/utils.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... | 35,539 | 39.524515 | 79 | py |
ERD | ERD-main/mmdet/models/layers/transformer/dab_detr_layers.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... | 11,683 | 38.076923 | 79 | py |
ERD | ERD-main/mmdet/models/layers/transformer/deformable_detr_layers.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,... | 11,274 | 43.920319 | 79 | py |
ERD | ERD-main/mmdet/models/layers/transformer/conditional_detr_layers.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... | 7,563 | 43.233918 | 78 | py |
ERD | ERD-main/mmdet/models/layers/transformer/mask2former_layers.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... | 5,960 | 42.830882 | 79 | py |
ERD | ERD-main/mmdet/models/layers/transformer/detr_layers.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... | 13,965 | 38.340845 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/nasfcos_head.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... | 4,776 | 40.53913 | 113 | py |
ERD | ERD-main/mmdet/models/dense_heads/reppoints_head.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... | 40,982 | 45.256208 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/solov2_head.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... | 33,478 | 40.84875 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/cascade_rpn_head.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... | 48,358 | 42.527453 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/vfnet_head.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 ... | 30,913 | 41.757953 | 81 | py |
ERD | ERD-main/mmdet/models/dense_heads/centernet_head.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 ... | 19,870 | 43.354911 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/rtmdet_head.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... | 29,566 | 41.665224 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/fsaf_head.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... | 20,957 | 44.660131 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/atss_head.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... | 23,314 | 43.409524 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/detr_head.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... | 28,137 | 44.752846 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/rpn_head.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... | 12,882 | 41.518152 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/anchor_head.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,... | 24,816 | 45.736347 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/yolox_head.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... | 26,925 | 42.499192 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/retina_head.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... | 4,284 | 34.413223 | 76 | py |
ERD | ERD-main/mmdet/models/dense_heads/rtmdet_ins_head.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... | 43,632 | 41.157488 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/ga_rpn_head.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... | 9,455 | 41.403587 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/tood_head.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... | 36,487 | 44.270471 | 79 | py |
ERD | ERD-main/mmdet/models/dense_heads/deformable_detr_head.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... | 15,707 | 46.744681 | 79 | py |
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