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/models/task_modules/assigners/iou2d_calculator.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import bbox_overlaps, get_box_tensor
def cast_tensor_type(x, scale=1., dtype=None):
if dtype == 'fp16':
# scale is for preventing overflows
x = (x / scale).half()
retu... | 89 | 3,355 |
mmdetection | mmdet/models/task_modules/assigners/multi_instance_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
from mmengine.structures import InstanceData
from mmdet.registry import TASK_UTILS
from .assign_result import AssignResult
from .max_iou_assigner import MaxIoUAssigner
@TASK_UTILS.register_module()
class MultiInstanceAssigner(M... | 141 | 6,188 |
mmdetection | mmdet/models/task_modules/assigners/approx_max_iou_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Union
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from mmdet.registry import TASK_UTILS
from .assign_result import AssignResult
from .max_iou_assigner import MaxIoUAssigner
@TASK_UTILS.r... | 163 | 7,510 |
mmdetection | mmdet/models/task_modules/assigners/uniform_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
from mmengine.structures import InstanceData
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import bbox_xyxy_to_cxcywh
from mmdet.utils import ConfigType
from .assign_result import AssignResult
from .base_assign... | 174 | 7,092 |
mmdetection | mmdet/models/task_modules/assigners/region_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import TASK_UTILS
from ..prior_generators import anchor_inside_flags
from .assign_result import AssignResult
from .base_assign... | 240 | 10,474 |
mmdetection | mmdet/models/task_modules/assigners/max_iou_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
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
def _perm_box(bboxes... | 326 | 14,427 |
mmdetection | mmdet/models/task_modules/assigners/sim_ota_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple
import torch
import torch.nn.functional as F
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.utils import ConfigType
from .assign_result import AssignResult
from .b... | 224 | 9,943 |
mmdetection | mmdet/models/task_modules/assigners/point_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
from mmengine.structures import InstanceData
from mmdet.registry import TASK_UTILS
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@TASK_UTILS.register_module()
class PointAssigner(BaseAssigner):... | 156 | 6,884 |
mmdetection | mmdet/models/task_modules/assigners/assign_result.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from torch import Tensor
from mmdet.utils import util_mixins
class AssignResult(util_mixins.NiceRepr):
"""Stores assignments between predicted and truth boxes.
Attributes:
num_gts (int): the number of truth boxes considered when computing ... | 199 | 7,470 |
mmdetection | mmdet/models/task_modules/assigners/task_aligned_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
from mmengine.structures import InstanceData
from mmdet.registry import TASK_UTILS
from mmdet.utils import ConfigType
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
INF = 100000000
@TASK_UTILS.... | 159 | 6,966 |
mmdetection | mmdet/models/task_modules/assigners/base_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from typing import Optional
from mmengine.structures import InstanceData
class BaseAssigner(metaclass=ABCMeta):
"""Base assigner that assigns boxes to ground truth boxes."""
@abstractmethod
def assign(self,
... | 18 | 571 |
mmdetection | mmdet/models/task_modules/samplers/instance_balanced_pos_sampler.py | .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... | 57 | 2,318 |
mmdetection | mmdet/models/task_modules/samplers/multi_instance_sampling_result.py | .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... | 57 | 2,260 |
mmdetection | mmdet/models/task_modules/samplers/iou_balanced_neg_sampler.py | .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... | 159 | 6,749 |
mmdetection | mmdet/models/task_modules/samplers/mask_pseudo_sampler.py | .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 .... | 61 | 2,198 |
mmdetection | mmdet/models/task_modules/samplers/multi_instance_random_sampler.py | .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... | 131 | 5,250 |
mmdetection | mmdet/models/task_modules/samplers/score_hlr_sampler.py | .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 ... | 291 | 12,663 |
mmdetection | mmdet/models/task_modules/samplers/__init__.py | .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... | 23 | 1,024 |
mmdetection | mmdet/models/task_modules/samplers/ohem_sampler.py | .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... | 112 | 4,229 |
mmdetection | mmdet/models/task_modules/samplers/random_sampler.py | .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):
... | 110 | 3,902 |
mmdetection | mmdet/models/task_modules/samplers/sampling_result.py | .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... | 241 | 8,409 |
mmdetection | mmdet/models/task_modules/samplers/pseudo_sampler.py | .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... | 61 | 2,145 |
mmdetection | mmdet/models/task_modules/samplers/mask_sampling_result.py | .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... | 69 | 2,361 |
mmdetection | mmdet/models/task_modules/samplers/base_sampler.py | .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... | 137 | 5,805 |
mmdetection | mmdet/models/task_modules/samplers/combined_sampler.py | .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... | 22 | 760 |
mmdetection | mmdet/models/tracking_heads/roi_track_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta
from typing import List, Optional, Tuple
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.structures import TrackSampleList
from mmdet.structures.bbox import bbox2roi
from mmd... | 179 | 7,056 |
mmdetection | mmdet/models/tracking_heads/roi_embed_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from collections import defaultdict
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from torch import Tensor
from torch.nn.modules.utils import _pair
from mmdet.models.loss... | 392 | 17,049 |
mmdetection | mmdet/models/tracking_heads/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .mask2former_track_head import Mask2FormerTrackHead
from .quasi_dense_embed_head import QuasiDenseEmbedHead
from .quasi_dense_track_head import QuasiDenseTrackHead
from .roi_embed_head import RoIEmbedHead
from .roi_track_head import RoITrackHead
__all__ = [
'Qua... | 12 | 423 |
mmdetection | mmdet/models/tracking_heads/mask2former_track_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from collections import defaultdict
from typing import Dict, 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
from mmengine.model... | 730 | 33,047 |
mmdetection | mmdet/models/tracking_heads/quasi_dense_embed_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
from mmengine.model import BaseModule
from torch import Tensor
from torch.nn.modules.utils import _pair
from mmdet.models.task_modules import SamplingResult
from ... | 348 | 14,673 |
mmdetection | mmdet/models/tracking_heads/quasi_dense_track_head.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.structures import TrackSampleList
from mmdet.structures.bbox import bbox2roi
from mmdet.utils import InstanceList
... | 179 | 7,341 |
mmdetection | mmdet/models/necks/nasfcos_fpn.py | .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... | 171 | 6,713 |
mmdetection | mmdet/models/necks/fpn_carafe.py | .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):
... | 276 | 11,159 |
mmdetection | mmdet/models/necks/rfp.py | .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)
... | 135 | 5,024 |
mmdetection | mmdet/models/necks/bfp.py | .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... | 112 | 4,090 |
mmdetection | mmdet/models/necks/nas_fpn.py | .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... | 172 | 6,878 |
mmdetection | mmdet/models/necks/yolo_neck.py | .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... | 146 | 5,835 |
mmdetection | mmdet/models/necks/fpn_dropblock.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import MODELS
from .fpn import FPN
@MODELS.register_module()
class FPN_DropBlock(FPN):
def __init__(self,
*args,
plug... | 91 | 3,470 |
mmdetection | mmdet/models/necks/pafpn.py | .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... | 158 | 6,277 |
mmdetection | mmdet/models/necks/ssh.py | .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... | 217 | 7,456 |
mmdetection | mmdet/models/necks/dilated_encoder.py | .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... | 110 | 3,967 |
mmdetection | mmdet/models/necks/dyhead.py | .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... | 174 | 6,859 |
mmdetection | mmdet/models/necks/fpg.py | .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... | 407 | 16,397 |
mmdetection | mmdet/models/necks/hrfpn.py | .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):
... | 101 | 3,519 |
mmdetection | mmdet/models/necks/channel_mapper.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple, Union
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()... | 113 | 4,569 |
mmdetection | mmdet/models/necks/ct_resnet_neck.py | .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... | 103 | 4,038 |
mmdetection | mmdet/models/necks/cspnext_pafpn.py | .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... | 171 | 6,178 |
mmdetection | mmdet/models/necks/fpn.py | .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, ... | 222 | 9,420 |
mmdetection | mmdet/models/necks/ssd_neck.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 mmdet.registry import MODELS
@MODELS.register_module()
class SSDNeck(BaseModule):
"""Extra layers of SSD backbone to generate... | 130 | 4,901 |
mmdetection | mmdet/models/necks/yolox_pafpn.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 mmdet.registry import MODELS
from ..layers import CSPLayer
@MODELS.register_module()
class YOLOXPAFPN(BaseModule):
... | 157 | 5,658 |
mmdetection | mmdet/models/reid/linear_reid_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
try:
import mmpretrain
from mmpretrain.evaluation.metrics import Accuracy
except ImportError:
mmpretrain = None
from mmengine.model import BaseModule
from mm... | 203 | 7,665 |
mmdetection | mmdet/models/reid/base_reid.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional
import torch
try:
import mmpretrain
from mmpretrain.models.classifiers import ImageClassifier
except ImportError:
mmpretrain = None
ImageClassifier = object
from mmdet.registry import MODELS
from mmdet.structures import... | 66 | 2,465 |
mmdetection | mmdet/models/reid/gap.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmengine.model import BaseModule
from mmdet.registry import MODELS
@MODELS.register_module()
class GlobalAveragePooling(BaseModule):
"""Global Average Pooling neck.
Note that we use `view` to remove extra channel after p... | 41 | 1,402 |
mmdetection | mmdet/models/reid/fc_module.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import build_activation_layer, build_norm_layer
from mmengine.model import BaseModule
from mmdet.registry import MODELS
@MODELS.register_module()
class FcModule(BaseModule):
"""Fully-connected layer module.
Args:
in_... | 72 | 2,539 |
mmdetection | mmdet/configs/retinanet/retinanet_tta.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms.loading import LoadImageFromFile
from mmcv.transforms.processing import TestTimeAug
from mmdet.datasets.transforms.formatting import PackDetInputs
from mmdet.datasets.transforms.loading import LoadAnnotations
from mmdet.datasets.transforms.transforms... | 32 | 1,189 |
mmdetection | mmdet/configs/qdtrack/qdtrack_faster_rcnn_r50_fpn_8xb2-4e_mot17halftrain_test-mot17halfval.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
with read_base():
from .._base_.datasets.mot_challenge import *
from .qdtrack_faster_rcnn_r50_fpn_4e_base import *
from mmdet.evaluation import CocoVideoMetric, MOTChallengeMetric
# evaluator
val_evaluator = [
dict(type... | 15 | 446 |
mmdetection | mmdet/configs/qdtrack/qdtrack_faster_rcnn_r50_fpn_4e_base.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
with read_base():
from .._base_.models.faster_rcnn_r50_fpn import *
from .._base_.models.faster_rcnn_r50_fpn import model
from .._base_.default_runtime import *
from mmcv.ops import RoIAlign
from mmengine.hooks import Lo... | 142 | 5,044 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r18_fpn_8xb8_amp_lsj_200e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 20 | 613 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_ms_poly_3x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from ..common... | 30 | 891 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r101_fpn_2x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 19 | 552 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_ms_poly_3x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 24 | 652 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r101_caffe_fpn_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 20 | 585 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_x101_64x4d_fpn_2x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 25 | 740 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r50_fpn_poly_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 24 | 865 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_ms_poly_3x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from ..common... | 35 | 1,098 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_poly_1x_coco_v1.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 41 | 1,356 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_x101_64x4d_fpn_ms_poly_3x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from ..common... | 28 | 836 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 26 | 778 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r101_caffe_fpn_ms_poly_3x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from ..common... | 29 | 881 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_ms_poly_2x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 24 | 652 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_ms_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 41 | 1,300 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 29 | 841 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_x101_32x4d_fpn_2x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 29 | 822 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_x101_64_4d_fpn_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 25 | 740 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r101_fpn_ms_poly_3x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from ..common... | 20 | 611 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 32 | 1,002 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r101_fpn_8xb8_amp_lsj_200e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 19 | 567 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_x101_32x8d_fpn_ms_poly_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 55 | 1,783 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r101_fpn_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 19 | 559 |
mmdetection | mmdet/configs/mask_rcnn/mask_rcnn_r50_caffe_fpn_ms_poly_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .mask_rc... | 41 | 1,324 |
mmdetection | mmdet/configs/panoptic_fpn/panoptic_fpn_r50_fpn_ms_3x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.optim.scheduler.lr_scheduler import LinearLR, MultiStepLR
with read_base():
from .panoptic_fpn_r50_fpn_1x_coco import *
from mmcv.transforms import RandomResize
from mmcv.transforms.loading import LoadImageFromFile... | 46 | 1,382 |
mmdetection | mmdet/configs/panoptic_fpn/panoptic_fpn_r101_fpn_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.model.weight_init import PretrainedInit
with read_base():
from .panoptic_fpn_r50_fpn_1x_coco import *
model.update(
dict(
backbone=dict(
depth=101,
init_cfg=dict(
... | 14 | 383 |
mmdetection | mmdet/configs/panoptic_fpn/panoptic_fpn_r50_fpn_1x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Please refer to https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta for more details. # noqa
# mmcv >= 2.0.1
# mmengine >= 0.8.0
from mmengine.config import read_base
with read_base():
from .._base_... | 65 | 2,287 |
mmdetection | mmdet/configs/panoptic_fpn/panoptic_fpn_r101_fpn_ms_3x_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.model.weight_init import PretrainedInit
with read_base():
from .panoptic_fpn_r50_fpn_ms_3x_coco import *
model.update(
dict(
backbone=dict(
depth=101,
init_cfg=dict(
... | 14 | 386 |
mmdetection | mmdet/configs/_base_/default_runtime.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.hooks import (CheckpointHook, DistSamplerSeedHook, IterTimerHook,
LoggerHook, ParamSchedulerHook)
from mmengine.runner import LogProcessor
from mmengine.visualization import LocalVisBackend
from mmdet.engine.hooks import DetVisua... | 34 | 1,123 |
mmdetection | mmdet/configs/_base_/schedules/schedule_1x.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.optim.optimizer.optimizer_wrapper import OptimWrapper
from mmengine.optim.scheduler.lr_scheduler import LinearLR, MultiStepLR
from mmengine.runner.loops import EpochBasedTrainLoop, TestLoop, ValLoop
from torch.optim.sgd import SGD
# training schedule for 1x... | 34 | 1,085 |
mmdetection | mmdet/configs/_base_/schedules/schedule_2x.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.optim.optimizer.optimizer_wrapper import OptimWrapper
from mmengine.optim.scheduler.lr_scheduler import LinearLR, MultiStepLR
from mmengine.runner.loops import EpochBasedTrainLoop, TestLoop, ValLoop
from torch.optim.sgd import SGD
# training schedule for 1x... | 34 | 1,086 |
mmdetection | mmdet/configs/_base_/datasets/coco_detection.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms import LoadImageFromFile
from mmengine.dataset.sampler import DefaultSampler
from mmdet.datasets import AspectRatioBatchSampler, CocoDataset
from mmdet.datasets.transforms import (LoadAnnotations, PackDetInputs,
... | 105 | 3,537 |
mmdetection | mmdet/configs/_base_/datasets/coco_instance_semantic.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms.loading import LoadImageFromFile
from mmengine.dataset.sampler import DefaultSampler
from mmdet.datasets.coco import CocoDataset
from mmdet.datasets.samplers.batch_sampler import AspectRatioBatchSampler
from mmdet.datasets.transforms.formatting impor... | 88 | 3,055 |
mmdetection | mmdet/configs/_base_/datasets/coco_instance.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms.loading import LoadImageFromFile
from mmengine.dataset.sampler import DefaultSampler
from mmdet.datasets.coco import CocoDataset
from mmdet.datasets.samplers.batch_sampler import AspectRatioBatchSampler
from mmdet.datasets.transforms.formatting impor... | 107 | 3,732 |
mmdetection | mmdet/configs/_base_/datasets/coco_panoptic.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms.loading import LoadImageFromFile
from mmengine.dataset.sampler import DefaultSampler
from mmdet.datasets.coco_panoptic import CocoPanopticDataset
from mmdet.datasets.samplers.batch_sampler import AspectRatioBatchSampler
from mmdet.datasets.transforms... | 106 | 3,837 |
mmdetection | mmdet/configs/_base_/datasets/mot_challenge.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms import (LoadImageFromFile, RandomResize,
TransformBroadcaster)
from mmdet.datasets import MOTChallengeDataset
from mmdet.datasets.samplers import TrackImgSampler
from mmdet.datasets.transforms import (LoadTrackAnnotations... | 102 | 3,308 |
mmdetection | mmdet/configs/_base_/models/faster_rcnn_r50_fpn.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.ops import RoIAlign, nms
from torch.nn import BatchNorm2d
from mmdet.models.backbones.resnet import ResNet
from mmdet.models.data_preprocessors.data_preprocessor import \
DetDataPreprocessor
from mmdet.models.dense_heads.rpn_head import RPNHead
from mmdet.m... | 139 | 4,917 |
mmdetection | mmdet/configs/_base_/models/retinanet_r50_fpn.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.ops import nms
from torch.nn import BatchNorm2d
from mmdet.models import (FPN, DetDataPreprocessor, FocalLoss, L1Loss, ResNet,
RetinaHead, RetinaNet)
from mmdet.models.task_modules import (AnchorGenerator, DeltaXYWHBBoxCoder,
... | 78 | 2,424 |
mmdetection | mmdet/configs/_base_/models/mask_rcnn_r50_fpn.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.ops import RoIAlign, nms
from mmengine.model.weight_init import PretrainedInit
from torch.nn import BatchNorm2d
from mmdet.models.backbones.resnet import ResNet
from mmdet.models.data_preprocessors.data_preprocessor import \
DetDataPreprocessor
from mmdet.m... | 155 | 5,491 |
mmdetection | mmdet/configs/_base_/models/cascade_rcnn_r50_fpn.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.ops import RoIAlign, nms
from torch.nn import BatchNorm2d
from mmdet.models.backbones.resnet import ResNet
from mmdet.models.data_preprocessors.data_preprocessor import \
DetDataPreprocessor
from mmdet.models.dense_heads.rpn_head import RPNHead
from mmdet.m... | 202 | 7,410 |
mmdetection | mmdet/configs/_base_/models/cascade_mask_rcnn_r50_fpn.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.ops import RoIAlign, nms
from torch.nn import BatchNorm2d
from mmdet.models.backbones.resnet import ResNet
from mmdet.models.data_preprocessors.data_preprocessor import \
DetDataPreprocessor
from mmdet.models.dense_heads.rpn_head import RPNHead
from mmdet.m... | 221 | 8,122 |
mmdetection | mmdet/configs/_base_/models/mask_rcnn_r50_caffe_c4.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.ops import RoIAlign, nms
from mmengine.model.weight_init import PretrainedInit
from torch.nn import BatchNorm2d
from mmdet.models.backbones.resnet import ResNet
from mmdet.models.data_preprocessors.data_preprocessor import \
DetDataPreprocessor
from mmdet.m... | 159 | 5,515 |
mmdetection | mmdet/configs/maskformer/maskformer_r50_ms_16xb1_75e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms import RandomChoice, RandomChoiceResize
from mmengine.config import read_base
from mmengine.model.weight_init import PretrainedInit
from mmengine.optim.optimizer import OptimWrapper
from mmengine.optim.scheduler import MultiStepLR
from mmengine.runner... | 250 | 9,076 |
mmdetection | mmdet/configs/maskformer/maskformer_swin_l_p4_w12_64xb1_ms_300e_coco.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import read_base
from mmengine.optim.scheduler import LinearLR
from mmdet.models.backbones import SwinTransformer
from mmdet.models.layers import PixelDecoder
with read_base():
from .maskformer_r50_ms_16xb1_75e_coco import *
pretrained = 'https... | 83 | 2,499 |
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