Search is not available for this dataset
repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
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mmdetection | mmdetection-master/mmdet/datasets/openimages.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import csv
import json
import os.path as osp
import warnings
from collections import OrderedDict, defaultdict
import mmcv
import numpy as np
import torch.distributed as dist
from mmcv.runner import get_dist_info
from mmcv.utils import print_log
from mmdet.co... | 35,084 | 38.33296 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from mmcv.cnn import VGG
from mmcv.runner.hooks import HOOKS, Hook
from mmdet.datasets.builder import PIPELINES
from mmdet.datasets.pipelines import (LoadAnnotations, LoadImageFromFile,
LoadPanopticAnnota... | 6,670 | 38.946108 | 78 | py |
mmdetection | mmdetection-master/mmdet/datasets/voc.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections import OrderedDict
from mmcv.utils import print_log
from mmdet.core import eval_map, eval_recalls
from .builder import DATASETS
from .xml_style import XMLDataset
@DATASETS.register_module()
class VOCDataset(XMLDataset):
CLASSES = ('aeroplane', 'b... | 4,724 | 40.814159 | 90 | py |
mmdetection | mmdetection-master/mmdet/datasets/wider_face.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import xml.etree.ElementTree as ET
import mmcv
from .builder import DATASETS
from .xml_style import XMLDataset
@DATASETS.register_module()
class WIDERFaceDataset(XMLDataset):
"""Reader for the WIDER Face dataset in PASCAL VOC format.
Con... | 1,578 | 27.709091 | 68 | py |
mmdetection | mmdetection-master/mmdet/datasets/xml_style.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import xml.etree.ElementTree as ET
import mmcv
import numpy as np
from PIL import Image
from .builder import DATASETS
from .custom import CustomDataset
@DATASETS.register_module()
class XMLDataset(CustomDataset):
"""XML dataset for detection.... | 6,243 | 33.882682 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/api_wrappers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .coco_api import COCO, COCOeval
from .panoptic_evaluation import pq_compute_multi_core, pq_compute_single_core
__all__ = [
'COCO', 'COCOeval', 'pq_compute_multi_core', 'pq_compute_single_core'
]
| 253 | 30.75 | 78 | py |
mmdetection | mmdetection-master/mmdet/datasets/api_wrappers/coco_api.py | # Copyright (c) OpenMMLab. All rights reserved.
# This file add snake case alias for coco api
import warnings
import pycocotools
from pycocotools.coco import COCO as _COCO
from pycocotools.cocoeval import COCOeval as _COCOeval
class COCO(_COCO):
"""This class is almost the same as official pycocotools package.
... | 1,506 | 30.395833 | 126 | py |
mmdetection | mmdetection-master/mmdet/datasets/api_wrappers/panoptic_evaluation.py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) 2018, Alexander Kirillov
# This file supports `file_client` for `panopticapi`,
# the source code is copied from `panopticapi`,
# only the way to load the gt images is modified.
import multiprocessing
import os
import mmcv
import numpy as np
try:
fro... | 9,113 | 38.799127 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/pipelines/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .auto_augment import (AutoAugment, BrightnessTransform, ColorTransform,
ContrastTransform, EqualizeTransform, Rotate, Shear,
Translate)
from .compose import Compose
from .formatting import (Collect, DefaultFormatB... | 1,807 | 55.5 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/pipelines/auto_augment.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import cv2
import mmcv
import numpy as np
from ..builder import PIPELINES
from .compose import Compose
_MAX_LEVEL = 10
def level_to_value(level, max_value):
"""Map from level to values based on max_value."""
return (level / _MAX_LEVEL) * max_value... | 36,538 | 39.825698 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/pipelines/compose.py | # Copyright (c) OpenMMLab. All rights reserved.
import collections
from mmcv.utils import build_from_cfg
from ..builder import PIPELINES
@PIPELINES.register_module()
class Compose:
"""Compose multiple transforms sequentially.
Args:
transforms (Sequence[dict | callable]): Sequence of transform objec... | 1,626 | 28.053571 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/pipelines/formating.py | # Copyright (c) OpenMMLab. All rights reserved.
# flake8: noqa
import warnings
from .formatting import *
warnings.warn('DeprecationWarning: mmdet.datasets.pipelines.formating will be '
'deprecated, please replace it with '
'mmdet.datasets.pipelines.formatting.')
| 293 | 28.4 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/pipelines/formatting.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections.abc import Sequence
import mmcv
import numpy as np
import torch
from mmcv.parallel import DataContainer as DC
from ..builder import PIPELINES
def to_tensor(data):
"""Convert objects of various python types to :obj:`torch.Tensor`.
Supported ty... | 13,853 | 33.292079 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/pipelines/instaboost.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from ..builder import PIPELINES
@PIPELINES.register_module()
class InstaBoost:
r"""Data augmentation method in `InstaBoost: Boosting Instance
Segmentation Via Probability Map Guided Copy-Pasting
<https://arxiv.org/abs/1908.07801>`_.
... | 4,508 | 36.890756 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/pipelines/loading.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import mmcv
import numpy as np
import pycocotools.mask as maskUtils
from mmdet.core import BitmapMasks, PolygonMasks
from ..builder import PIPELINES
try:
from panopticapi.utils import rgb2id
except ImportError:
rgb2id = None
@PIPELINES.r... | 22,759 | 34.232198 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/pipelines/test_time_aug.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import mmcv
from ..builder import PIPELINES
from .compose import Compose
@PIPELINES.register_module()
class MultiScaleFlipAug:
"""Test-time augmentation with multiple scales and flipping.
An example configuration is as followed:
.. code-b... | 4,466 | 35.614754 | 78 | py |
mmdetection | mmdetection-master/mmdet/datasets/pipelines/transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import inspect
import math
import warnings
import cv2
import mmcv
import numpy as np
from numpy import random
from mmdet.core import BitmapMasks, PolygonMasks, find_inside_bboxes
from mmdet.core.evaluation.bbox_overlaps import bbox_overlaps
from mmdet.utils ... | 118,461 | 38.89963 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/samplers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .class_aware_sampler import ClassAwareSampler
from .distributed_sampler import DistributedSampler
from .group_sampler import DistributedGroupSampler, GroupSampler
from .infinite_sampler import InfiniteBatchSampler, InfiniteGroupBatchSampler
__all__ = [
'Distribu... | 455 | 40.454545 | 77 | py |
mmdetection | mmdetection-master/mmdet/datasets/samplers/class_aware_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
from mmcv.runner import get_dist_info
from torch.utils.data import Sampler
from mmdet.core.utils import sync_random_seed
class ClassAwareSampler(Sampler):
r"""Sampler that restricts data loading to the label of the dataset.
A class-aw... | 6,543 | 35.971751 | 104 | py |
mmdetection | mmdetection-master/mmdet/datasets/samplers/distributed_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
from torch.utils.data import DistributedSampler as _DistributedSampler
from mmdet.core.utils import sync_random_seed
from mmdet.utils import get_device
class DistributedSampler(_DistributedSampler):
def __init__(self,
dat... | 2,037 | 36.054545 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/samplers/group_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import numpy as np
import torch
from mmcv.runner import get_dist_info
from torch.utils.data import Sampler
class GroupSampler(Sampler):
def __init__(self, dataset, samples_per_gpu=1):
assert hasattr(dataset, 'flag')
self.dataset = datas... | 5,384 | 35.14094 | 78 | py |
mmdetection | mmdetection-master/mmdet/datasets/samplers/infinite_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
import numpy as np
import torch
from mmcv.runner import get_dist_info
from torch.utils.data.sampler import Sampler
from mmdet.core.utils import sync_random_seed
class InfiniteGroupBatchSampler(Sampler):
"""Similar to `BatchSampler` warping a `Grou... | 7,064 | 36.780749 | 110 | py |
mmdetection | mmdetection-master/mmdet/models/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .backbones import * # noqa: F401,F403
from .builder import (BACKBONES, DETECTORS, HEADS, LOSSES, NECKS,
ROI_EXTRACTORS, SHARED_HEADS, build_backbone,
build_detector, build_head, build_loss, build_neck,
... | 899 | 44 | 78 | py |
mmdetection | mmdetection-master/mmdet/models/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmcv.cnn import MODELS as MMCV_MODELS
from mmcv.utils import Registry
MODELS = Registry('models', parent=MMCV_MODELS)
BACKBONES = MODELS
NECKS = MODELS
ROI_EXTRACTORS = MODELS
SHARED_HEADS = MODELS
HEADS = MODELS
LOSSES = MODELS
DETECTORS = MODELS
... | 1,449 | 23.166667 | 71 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .csp_darknet import CSPDarknet
from .darknet import Darknet
from .detectors_resnet import DetectoRS_ResNet
from .detectors_resnext import DetectoRS_ResNeXt
from .efficientnet import EfficientNet
from .hourglass import HourglassNet
from .hrnet import HRNet
from .mobil... | 999 | 36.037037 | 77 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/csp_darknet.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from mmcv.runner import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from ..builder import BACKBONES
from ..utils import CSPLayer
class Focus(n... | 10,543 | 35.996491 | 77 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/darknet.py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) 2019 Western Digital Corporation or its affiliates.
import warnings
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from ..builder import BACKBONES
class ResBlo... | 8,233 | 37.476636 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/detectors_resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import (build_conv_layer, build_norm_layer, constant_init,
kaiming_init)
from mmcv.runner import Sequential, load_checkpoint
from torch.nn.modules.batchnorm import _BatchNorm
fr... | 12,736 | 34.980226 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/detectors_resnext.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from mmcv.cnn import build_conv_layer, build_norm_layer
from ..builder import BACKBONES
from .detectors_resnet import Bottleneck as _Bottleneck
from .detectors_resnet import DetectoRS_ResNet
class Bottleneck(_Bottleneck):
expansion = 4
def __init_... | 3,920 | 30.620968 | 77 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/efficientnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import math
from functools import partial
import torch
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn.bricks import ConvModule, DropPath
from mmcv.runner import BaseModule, Sequential
from ..builder import BACKBONES
from ..utils impo... | 16,218 | 37.801435 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/hourglass.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.runner import BaseModule
from ..builder import BACKBONES
from ..utils import ResLayer
from .resnet import BasicBlock
class HourglassModule(BaseModule):
"""Hourglass Modu... | 7,494 | 32.609865 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/hrnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmcv.runner import BaseModule, ModuleList, Sequential
from torch.nn.modules.batchnorm import _BatchNorm
from ..builder import BACKBONES
from .resnet import BasicBlock, Bot... | 23,106 | 38.164407 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/mobilenet_v2.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from ..builder import BACKBONES
from ..utils import InvertedResidual, make_divisible
@BACKBONES.register_module()... | 7,599 | 37.383838 | 78 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/pvt.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import warnings
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,
constant_init, normal_init, trunc_normal_init)
from mmcv.cnn.br... | 23,217 | 38.219595 | 89 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/regnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import numpy as np
import torch.nn as nn
from mmcv.cnn import build_conv_layer, build_norm_layer
from ..builder import BACKBONES
from .resnet import ResNet
from .resnext import Bottleneck
@BACKBONES.register_module()
class RegNet(ResNet):
"""RegNet... | 13,605 | 37.112045 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/res2net.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 mmcv.runner import Sequential
from ..builder import BACKBONES
from .resnet import Bottleneck as _Bottleneck
from .resnet impor... | 11,659 | 34.54878 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/resnest.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
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 mmcv.runner import BaseModule
from ..builder import BACKBONES
from ..utils import ResLayer
fro... | 10,579 | 31.755418 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import build_conv_layer, build_norm_layer, build_plugin_layer
from mmcv.runner import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from ..builder import BACKBONES
fro... | 23,840 | 34.424963 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/resnext.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from mmcv.cnn import build_conv_layer, build_norm_layer
from ..builder import BACKBONES
from ..utils import ResLayer
from .resnet import Bottleneck as _Bottleneck
from .resnet import ResNet
class Bottleneck(_Bottleneck):
expansion = 4
def __init__... | 5,712 | 35.858065 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/ssd_vgg.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
from mmcv.cnn import VGG
from mmcv.runner import BaseModule
from ..builder import BACKBONES
from ..necks import ssd_neck
@BACKBONES.register_module()
class SSDVGG(VGG, BaseModule):
"""VGG Backbone network for single-shot-detec... | 4,705 | 35.48062 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/swin.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from collections import OrderedDict
from copy import deepcopy
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.checkpoint as cp
from mmcv.cnn import build_norm_layer, constant_init, trunc_normal_init
from mmcv.cnn.bric... | 30,579 | 38.560155 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/backbones/trident_resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.checkpoint as cp
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmcv.runner import BaseModule
from torch.nn.modules.utils import _pair
from mmdet.models.backbones.resnet i... | 11,129 | 36.22408 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .anchor_free_head import AnchorFreeHead
from .anchor_head import AnchorHead
from .ascend_anchor_head import AscendAnchorHead
from .ascend_retina_head import AscendRetinaHead
from .ascend_ssd_head import AscendSSDHead
from .atss_head import ATSSHead
from .autoassign_h... | 2,787 | 43.253968 | 76 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/anchor_free_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from abc import abstractmethod
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.runner import force_fp32
from mmdet.core import build_bbox_coder, multi_apply
from mmdet.core.anchor.point_generator import MlvlPointGenerator
fro... | 13,958 | 38.769231 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/anchor_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
import torch.nn as nn
from mmcv.runner import force_fp32
from mmdet.core import (anchor_inside_flags, build_assigner, build_bbox_coder,
build_prior_generator, build_sampler, images_to_levels,
m... | 24,605 | 44.314917 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/ascend_anchor_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ...core.bbox.assigners import AscendMaxIoUAssigner
from ...core.bbox.samplers import PseudoSampler
from ...utils import (batch_images_to_levels, get_max_num_gt_division_factor,
masked_fill)
from ..builder import HEADS
from .anchor_... | 18,527 | 46.507692 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/ascend_retina_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import HEADS
from .ascend_anchor_head import AscendAnchorHead
from .retina_head import RetinaHead
@HEADS.register_module()
class AscendRetinaHead(RetinaHead, AscendAnchorHead):
r"""An anchor-based head used in `RetinaNet
<https://arxiv.org/pdf/170... | 5,091 | 42.896552 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/ascend_ssd_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn.functional as F
from mmcv.runner import force_fp32
from ..builder import HEADS
from ..losses import smooth_l1_loss
from .ascend_anchor_head import AscendAnchorHead
from .ssd_head import SSDHead
@HEADS.register_module()
class AscendSSDHead(S... | 14,349 | 42.617021 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/atss_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, Scale
from mmcv.runner import force_fp32
from mmdet.core import (anchor_inside_flags, build_assigner, build_sampler,
images_to_levels, multi_apply, reduce_mean, unmap)
from ..buil... | 21,149 | 41.131474 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/autoassign_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import bias_init_with_prob, normal_init
from mmcv.runner import force_fp32
from mmdet.core import multi_apply
from mmdet.core.anchor.point_generator import MlvlPointGenerato... | 23,096 | 42.744318 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/base_dense_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
import torch
from mmcv.cnn.utils.weight_init import constant_init
from mmcv.ops import batched_nms
from mmcv.runner import BaseModule, force_fp32
from mmdet.core.utils import filter_scores_and_topk, select_single_mlvl
class Base... | 23,226 | 43.074004 | 106 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/base_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from mmcv.runner import BaseModule
class BaseMaskHead(BaseModule, metaclass=ABCMeta):
"""Base class for mask heads used in One-Stage Instance Segmentation."""
def __init__(self, init_cfg):
super(BaseMaskHead, sel... | 4,539 | 37.803419 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/cascade_rpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from __future__ import division
import copy
import warnings
import torch
import torch.nn as nn
from mmcv import ConfigDict
from mmcv.ops import DeformConv2d, batched_nms
from mmcv.runner import BaseModule, ModuleList
from mmdet.core import (RegionAssigner, build_assigne... | 33,996 | 41.390274 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/centernet_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import bias_init_with_prob, normal_init
from mmcv.ops import batched_nms
from mmcv.runner import force_fp32
from mmdet.core import multi_apply
from mmdet.models import HEADS, build_loss
from mmdet.models.utils import gauss... | 18,025 | 42.646489 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/centripetal_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import ConvModule, normal_init
from mmcv.ops import DeformConv2d
from mmcv.runner import force_fp32
from mmdet.core import multi_apply
from ..builder import HEADS, build_loss
from .corner_head import CornerHead
@HEADS.register_module... | 19,882 | 45.132251 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/corner_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from logging import warning
from math import ceil, log
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, bias_init_with_prob
from mmcv.ops import CornerPool, batched_nms
from mmcv.runner import BaseModule, force_fp32
from mmdet.core import multi_apply
... | 48,502 | 43.620975 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/ddod_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, Scale, bias_init_with_prob, normal_init
from mmcv.runner import force_fp32
from mmdet.core import (anchor_inside_flags, build_assigner, build_sampler,
images_to_levels, multi_appl... | 34,312 | 43.047497 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/deformable_detr_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Linear, bias_init_with_prob, constant_init
from mmcv.runner import force_fp32
from mmdet.core import multi_apply
from mmdet.models.utils.transformer import inverse_sigmoi... | 13,708 | 41.974922 | 98 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/dense_test_mixins.py | # Copyright (c) OpenMMLab. All rights reserved.
import sys
from inspect import signature
import torch
from mmcv.ops import batched_nms
from mmdet.core import bbox_mapping_back, merge_aug_proposals
if sys.version_info >= (3, 7):
from mmdet.utils.contextmanagers import completed
class BBoxTestMixin(object):
... | 8,421 | 39.68599 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/detr_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Conv2d, Linear, build_activation_layer
from mmcv.cnn.bricks.transformer import FFN, build_positional_encoding
from mmcv.runner import force_fp32
from mmdet.core import (bbox_cxcywh_to... | 39,707 | 45.991716 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/embedding_rpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.runner import BaseModule
from mmdet.models.builder import HEADS
from ...core import bbox_cxcywh_to_xyxy
@HEADS.register_module()
class EmbeddingRPNHead(BaseModule):
"""RPNHead in the `Sparse R-CNN <https://arxiv.org/abs/... | 4,629 | 38.57265 | 78 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/fcos_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
import torch.nn as nn
from mmcv.cnn import Scale
from mmcv.runner import force_fp32
from mmdet.core import multi_apply, reduce_mean
from ..builder import HEADS, build_loss
from .anchor_free_head import AnchorFreeHead
INF = 1e8
@HEADS.regi... | 19,709 | 42.223684 | 113 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/fovea_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops import DeformConv2d
from mmcv.runner import BaseModule
from mmdet.core import multi_apply
from mmdet.core.utils import filter_scores_and_topk
from ..builder import HEADS
fro... | 16,364 | 41.396373 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/free_anchor_retina_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn.functional as F
from mmdet.core import bbox_overlaps
from ..builder import HEADS
from .retina_head import RetinaHead
EPS = 1e-12
@HEADS.register_module()
class FreeAnchorRetinaHead(RetinaHead):
"""FreeAnchor RetinaHead used in https://... | 11,254 | 40.227106 | 94 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/fsaf_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmcv.runner import force_fp32
from mmdet.core import (anchor_inside_flags, images_to_levels, multi_apply,
unmap)
from ..builder import HEADS
from ..losses.accuracy import accuracy
from ..losses.utils import wei... | 19,337 | 43.557604 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/ga_retina_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops import MaskedConv2d
from ..builder import HEADS
from .guided_anchor_head import FeatureAdaption, GuidedAnchorHead
@HEADS.register_module()
class GARetinaHead(GuidedAnchorHead):
"""Guided-Anchor-bas... | 3,931 | 33.491228 | 77 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/ga_rpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv import ConfigDict
from mmcv.ops import nms
from ..builder import HEADS
from .guided_anchor_head import GuidedAnchorHead
@HEADS.register_module()
class GARPNHead(Gu... | 7,052 | 38.623596 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/gfl_head.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, Scale
from mmcv.runner import force_fp32
from mmdet.core import (anchor_inside_flags, bbox_overlaps, build_assigner,
build_sampler, images_to_level... | 27,913 | 42.010786 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/guided_anchor_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
import torch.nn as nn
from mmcv.ops import DeformConv2d, MaskedConv2d
from mmcv.runner import BaseModule, force_fp32
from mmdet.core import (anchor_inside_flags, build_assigner, build_bbox_coder,
build_prior_generator... | 37,334 | 41.963176 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/lad_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import force_fp32
from mmdet.core import bbox_overlaps, multi_apply
from ..builder import HEADS
from .paa_head import PAAHead, levels_to_images
@HEADS.register_module()
class LADHead(PAAHead):
"""Label Assignment Head from the paper: `... | 10,058 | 42.171674 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/ld_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import force_fp32
from mmdet.core import bbox_overlaps, multi_apply, reduce_mean
from ..builder import HEADS, build_loss
from .gfl_head import GFLHead
@HEADS.register_module()
class LDHead(GFLHead):
"""Localization distillation Head. (... | 10,636 | 39.599237 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/mask2former_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Conv2d, build_plugin_layer, caffe2_xavier_init
from mmcv.cnn.bricks.transformer import (build_positional_encoding,
build_transform... | 19,469 | 44.174014 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/maskformer_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Conv2d, build_plugin_layer, caffe2_xavier_init
from mmcv.cnn.bricks.transformer import (build_positional_encoding,
build_transformer_layer_sequ... | 25,113 | 44.087971 | 79 | py |
mmdetection | mmdetection-master/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 ..builder import HEADS
@HEADS.register_module()
class NASFCOSHead(FCOSHead):
"""Anchor-free head used in `NASFCOS <https://arxiv.o... | 2,908 | 34.91358 | 78 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/paa_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmcv.runner import force_fp32
from mmdet.core import multi_apply, multiclass_nms
from mmdet.core.bbox.iou_calculators import bbox_overlaps
from mmdet.models import HEADS
from mmdet.models.dense_heads import ATSSHead
EPS = 1e-12
try:
... | 34,042 | 43.970938 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/pisa_retinanet_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import force_fp32
from mmdet.core import images_to_levels
from ..builder import HEADS
from ..losses import carl_loss, isr_p
from .retina_head import RetinaHead
@HEADS.register_module()
class PISARetinaHead(RetinaHead):
"""PISA Retinane... | 6,267 | 39.179487 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/pisa_ssd_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.core import multi_apply
from ..builder import HEADS
from ..losses import CrossEntropyLoss, SmoothL1Loss, carl_loss, isr_p
from .ssd_head import SSDHead
# TODO: add loss evaluator for SSD
@HEADS.register_module()
class PISASSDHead(SSDHead):
... | 5,598 | 38.70922 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/reppoints_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops import DeformConv2d
from mmdet.core import (build_assigner, build_sampler, images_to_levels,
multi_apply, unmap)
from mmdet.core.anchor.point_gener... | 34,936 | 44.669281 | 101 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/retina_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import ConvModule
from ..builder import HEADS
from .anchor_head import AnchorHead
@HEADS.register_module()
class RetinaHead(AnchorHead):
r"""An anchor-based head used in `RetinaNet
<https://arxiv.org/pdf/1708.02002.pdf>`_.
... | 4,059 | 34 | 76 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/retina_sepbn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import ConvModule, bias_init_with_prob, normal_init
from ..builder import HEADS
from .anchor_head import AnchorHead
@HEADS.register_module()
class RetinaSepBNHead(AnchorHead):
""""RetinaHead with separate BN.
In RetinaHead, ... | 4,566 | 37.378151 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/rpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
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 ..builder import HEADS
from .anchor_head import AnchorHead
@HEADS.register_module()
class RPNHead(AnchorHead):
"""R... | 11,202 | 41.116541 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/sabl_retina_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.runner import force_fp32
from mmdet.core import (build_assigner, build_bbox_coder,
build_prior_generator, build_sampler, images_to_lev... | 27,410 | 42.440571 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/solo_head.py | # Copyright (c) OpenMMLab. All rights reserved.
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 mmdet.core import InstanceData, mask_matrix_nms, multi_apply
from mmdet.core.utils import center_of_mass, generate_coordinate
from mmdet... | 48,058 | 39.116027 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/solov2_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
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 mmcv.runner import BaseModule, auto_fp16, force_fp32
from mmdet.core import InstanceData, mask_matrix_nms, multi_apply
... | 31,361 | 39.889179 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/ssd_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from mmcv.runner import force_fp32
from mmdet.core import (build_assigner, build_bbox_coder,
build_pr... | 14,790 | 40.315642 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/tood_head.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, Scale, bias_init_with_prob, normal_init
from mmcv.ops import deform_conv2d
from mmcv.runner import force_fp32
from mmdet.core import (anchor_inside_flags, build_assigner, ... | 34,398 | 43.157895 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/vfnet_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, Scale
from mmcv.ops import DeformConv2d
from mmcv.runner import force_fp32
from mmdet.core import (MlvlPointGenerator, bbox_overlaps, build_assigner,
... | 31,290 | 41.22807 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/yolact_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule, ModuleList, force_fp32
from mmdet.core import build_sampler, fast_nms, images_to_levels, multi_apply
from mmdet.core.... | 43,474 | 41.664377 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/yolo_head.py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) 2019 Western Digital Corporation or its affiliates.
import warnings
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import (ConvModule, bias_init_with_prob, constant_init, is_norm,
... | 26,371 | 41.398714 | 106 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/yolof_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import (ConvModule, bias_init_with_prob, constant_init, is_norm,
normal_init)
from mmcv.runner import force_fp32
from mmdet.core import anchor_inside_flags, multi_apply, reduce_mean, unmap
from ..buil... | 17,409 | 40.7506 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/dense_heads/yolox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import (ConvModule, DepthwiseSeparableConvModule,
bias_init_with_prob)
from mmcv.ops.nms import batched_nms
from mmcv.runner import force... | 20,987 | 41.48583 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/detectors/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .atss import ATSS
from .autoassign import AutoAssign
from .base import BaseDetector
from .cascade_rcnn import CascadeRCNN
from .centernet import CenterNet
from .cornernet import CornerNet
from .ddod import DDOD
from .deformable_detr import DeformableDETR
from .detr i... | 2,176 | 35.898305 | 77 | py |
mmdetection | mmdetection-master/mmdet/models/detectors/atss.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class ATSS(SingleStageDetector):
"""Implementation of `ATSS <https://arxiv.org/abs/1912.02424>`_."""
def __init__(self,
backbone,
... | 636 | 30.85 | 72 | py |
mmdetection | mmdetection-master/mmdet/models/detectors/autoassign.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class AutoAssign(SingleStageDetector):
"""Implementation of `AutoAssign: Differentiable Label Assignment for Dense
Object Detection <https://arxiv.org/abs/... | 682 | 33.15 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/detectors/base.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from collections import OrderedDict
import mmcv
import numpy as np
import torch
import torch.distributed as dist
from mmcv.runner import BaseModule, auto_fp16
from mmdet.core.visualization import imshow_det_bboxes
class BaseDete... | 14,929 | 39.79235 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/detectors/cascade_rcnn.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class CascadeRCNN(TwoStageDetector):
r"""Implementation of `Cascade R-CNN: Delving into High Quality Object
Detection <https://arxiv.org/abs/1906.09756>`_"""
... | 1,698 | 32.98 | 75 | py |
mmdetection | mmdetection-master/mmdet/models/detectors/centernet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.core import bbox2result
from mmdet.models.builder import DETECTORS
from ...core.utils import flip_tensor
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class CenterNet(SingleStageDetector):
"""Implementation of Ce... | 4,206 | 36.5625 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/detectors/cornernet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.core import bbox2result, bbox_mapping_back
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class CornerNet(SingleStageDetector):
"""CornerNet.
This detector is the implementatio... | 3,668 | 36.438776 | 79 | py |
mmdetection | mmdetection-master/mmdet/models/detectors/ddod.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class DDOD(SingleStageDetector):
"""Implementation of `DDOD <https://arxiv.org/pdf/2107.02963.pdf>`_."""
def __init__(self,
backbone,
... | 640 | 31.05 | 75 | py |
mmdetection | mmdetection-master/mmdet/models/detectors/deformable_detr.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .detr import DETR
@DETECTORS.register_module()
class DeformableDETR(DETR):
def __init__(self, *args, **kwargs):
super(DETR, self).__init__(*args, **kwargs)
| 256 | 22.363636 | 51 | py |