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 |
|---|---|---|---|---|---|
insightface | detection/scrfd/mmdet/core/evaluation/bbox_overlaps.py | .py | import numpy as np
def bbox_overlaps(bboxes1, bboxes2, mode='iou', eps=1e-6):
"""Calculate the ious between each bbox of bboxes1 and bboxes2.
Args:
bboxes1(ndarray): shape (n, 4)
bboxes2(ndarray): shape (k, 4)
mode(str): iou (intersection over union) or iof (intersection
o... | 49 | 1,649 |
insightface | detection/scrfd/mmdet/core/evaluation/eval_hooks.py | .py | import os.path as osp
import warnings
from math import inf
import mmcv
from mmcv.runner import Hook
from torch.utils.data import DataLoader
from mmdet.utils import get_root_logger
class EvalHook(Hook):
"""Evaluation hook.
Notes:
If new arguments are added for EvalHook, tools/test.py,
tools/... | 256 | 10,652 |
insightface | detection/scrfd/mmdet/core/evaluation/class_names.py | .py | import mmcv
def wider_face_classes():
return ['face']
def voc_classes():
return [
'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat',
'chair', 'cow', 'diningtable', 'dog', 'horse', 'motorbike', 'person',
'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor'
]
... | 117 | 5,426 |
insightface | detection/scrfd/mmdet/core/evaluation/mean_ap.py | .py | from multiprocessing import Pool
import mmcv
import numpy as np
from mmcv.utils import print_log
from terminaltables import AsciiTable
from .bbox_overlaps import bbox_overlaps
from .class_names import get_classes
def average_precision(recalls, precisions, mode='area'):
"""Calculate average precision (for single... | 470 | 19,071 |
insightface | detection/scrfd/mmdet/core/evaluation/recall.py | .py | from collections.abc import Sequence
import numpy as np
from mmcv.utils import print_log
from terminaltables import AsciiTable
from .bbox_overlaps import bbox_overlaps
def _recalls(all_ious, proposal_nums, thrs):
img_num = all_ious.shape[0]
total_gt_num = sum([ious.shape[0] for ious in all_ious])
_iou... | 190 | 6,375 |
insightface | detection/scrfd/mmdet/core/evaluation/widerface.py | .py | """
WiderFace evaluation code
author: wondervictor
mail: tianhengcheng@gmail.com
copyright@wondervictor
"""
from __future__ import absolute_import
import os
import tqdm
import pickle
import datetime
import argparse
import numpy as np
from scipy.io import loadmat
#from facedet.evaluation.box_utils import jaccard
#from ... | 565 | 19,041 |
insightface | detection/scrfd/mmdet/core/utils/misc.py | .py | from functools import partial
import torch
from six.moves import map, zip
def multi_apply(func, *args, **kwargs):
"""Apply function to a list of arguments.
Note:
This function applies the ``func`` to multiple inputs and
map the multiple outputs of the ``func`` into different
list. Ea... | 42 | 1,284 |
insightface | detection/scrfd/mmdet/core/utils/__init__.py | .py | from .dist_utils import DistOptimizerHook, allreduce_grads, reduce_mean
from .misc import multi_apply, unmap
__all__ = [
'allreduce_grads', 'DistOptimizerHook', 'reduce_mean', 'multi_apply',
'unmap'
]
| 8 | 210 |
insightface | detection/scrfd/mmdet/core/utils/dist_utils.py | .py | import warnings
from collections import OrderedDict
import torch.distributed as dist
from mmcv.runner import OptimizerHook
from torch._utils import (_flatten_dense_tensors, _take_tensors,
_unflatten_dense_tensors)
def _allreduce_coalesced(tensors, world_size, bucket_size_mb=-1):
if buck... | 70 | 2,327 |
insightface | detection/scrfd/mmdet/utils/contextmanagers.py | .py | import asyncio
import contextlib
import logging
import os
import time
from typing import List
import torch
logger = logging.getLogger(__name__)
DEBUG_COMPLETED_TIME = bool(os.environ.get('DEBUG_COMPLETED_TIME', False))
@contextlib.asynccontextmanager
async def completed(trace_name='',
name='',
... | 122 | 4,077 |
insightface | detection/scrfd/mmdet/utils/logger.py | .py | import logging
from mmcv.utils import get_logger
def get_root_logger(log_file=None, log_level=logging.INFO):
"""Get root logger.
Args:
log_file (str, optional): File path of log. Defaults to None.
log_level (int, optional): The level of logger.
Defaults to logging.INFO.
Retu... | 20 | 481 |
insightface | detection/scrfd/mmdet/utils/collect_env.py | .py | from mmcv.utils import collect_env as collect_base_env
from mmcv.utils import get_git_hash
import mmdet
def collect_env():
"""Collect the information of the running environments."""
env_info = collect_base_env()
env_info['MMDetection'] = mmdet.__version__ + '+' + get_git_hash()[:7]
return env_info
... | 17 | 423 |
insightface | detection/scrfd/mmdet/utils/profiling.py | .py | import contextlib
import sys
import time
import torch
if sys.version_info >= (3, 7):
@contextlib.contextmanager
def profile_time(trace_name,
name,
enabled=True,
stream=None,
end_stream=None):
"""Print time spent by CP... | 40 | 1,288 |
insightface | detection/scrfd/mmdet/utils/util_mixins.py | .py | """This module defines the :class:`NiceRepr` mixin class, which defines a
``__repr__`` and ``__str__`` method that only depend on a custom ``__nice__``
method, which you must define. This means you only have to overload one
function instead of two. Furthermore, if the object defines a ``__len__``
method, then the ``__... | 105 | 3,672 |
insightface | detection/scrfd/mmdet/ops/__init__.py | .py | # This file is added for back-compatibility. Thus, downstream codebase
# could still use and import mmdet.ops.
# yapf: disable
from mmcv.ops import (ContextBlock, Conv2d, ConvTranspose2d, ConvWS2d,
CornerPool, DeformConv, DeformConvPack, DeformRoIPooling,
DeformRoIPoolingPac... | 33 | 1,742 |
insightface | detection/scrfd/mmdet/models/builder.py | .py | from mmcv.utils import Registry, build_from_cfg
from torch import nn
BACKBONES = Registry('backbone')
NECKS = Registry('neck')
ROI_EXTRACTORS = Registry('roi_extractor')
SHARED_HEADS = Registry('shared_head')
HEADS = Registry('head')
LOSSES = Registry('loss')
DETECTORS = Registry('detector')
def build(cfg, registry,... | 68 | 1,631 |
insightface | detection/scrfd/mmdet/models/__init__.py | .py | 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,
build_roi_extractor, build_shared_head)
from .... | 17 | 765 |
insightface | detection/scrfd/mmdet/models/dense_heads/rpn_test_mixin.py | .py | import sys
from mmdet.core import merge_aug_proposals
if sys.version_info >= (3, 7):
from mmdet.utils.contextmanagers import completed
class RPNTestMixin(object):
"""Test methods of RPN."""
if sys.version_info >= (3, 7):
async def async_simple_test_rpn(self, x, img_metas):
sleep_in... | 60 | 2,125 |
insightface | detection/scrfd/mmdet/models/dense_heads/pisa_retinanet_head.py | .py | 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 Retinanet Head.
The head owns the same structure wi... | 155 | 6,220 |
insightface | detection/scrfd/mmdet/models/dense_heads/scrfd_head.py | .py | import numpy as np
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, DepthwiseSeparableConvModule
from mmcv.cnn import constant_init, kaiming_init
from mmcv.runner import force_fp32
from mmdet.core import (anchor_inside_flags, b... | 1,064 | 47,526 |
insightface | detection/scrfd/mmdet/models/dense_heads/rpn_head.py | .py | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import normal_init
from mmcv.ops import batched_nms
from ..builder import HEADS
from .anchor_head import AnchorHead
from .rpn_test_mixin import RPNTestMixin
@HEADS.register_module()
class RPNHead(RPNTestMixin, AnchorHead):
"""RPN he... | 169 | 7,095 |
insightface | detection/scrfd/mmdet/models/dense_heads/transformer_head.py | .py | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Conv2d, Linear, build_activation_layer
from mmcv.runner import force_fp32
from mmdet.core import (bbox_cxcywh_to_xyxy, bbox_xyxy_to_cxcywh,
build_assigner, build_sampler, multi_apply,
... | 656 | 30,901 |
insightface | detection/scrfd/mmdet/models/dense_heads/vfnet_head.py | .py | import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, Scale, bias_init_with_prob, normal_init
from mmcv.ops import DeformConv2d
from mmcv.runner import force_fp32
from mmdet.core import (bbox2distance, bbox_overlaps, build_anchor_generator,
build_assigner, build... | 795 | 35,403 |
insightface | detection/scrfd/mmdet/models/dense_heads/paa_head.py | .py | 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:
import sklearn.mixture as skm
except ImportE... | 654 | 28,818 |
insightface | detection/scrfd/mmdet/models/dense_heads/fcos_head.py | .py | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Scale, normal_init
from mmcv.runner import force_fp32
from mmdet.core import distance2bbox, multi_apply, multiclass_nms
from ..builder import HEADS, build_loss
from .anchor_free_head import AnchorFreeHead
INF = 1e8
@HEADS.regist... | 575 | 25,553 |
insightface | detection/scrfd/mmdet/models/dense_heads/pisa_ssd_head.py | .py | 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):
def loss(self,
cls_scores,
... | 140 | 5,551 |
insightface | detection/scrfd/mmdet/models/dense_heads/gfl_head.py | .py | 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.runner import force_fp32
from mmdet.core import (anchor_inside_flags, bbox2distance, bbox_overlaps,
build_assigner, build_sampler, distance2bbox,... | 639 | 27,647 |
insightface | detection/scrfd/mmdet/models/dense_heads/fsaf_head.py | .py | import numpy as np
import torch
from mmcv.cnn import normal_init
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 weight_reduce_loss... | 419 | 18,614 |
insightface | detection/scrfd/mmdet/models/dense_heads/yolact_head.py | .py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, xavier_init
from mmcv.runner import force_fp32
from mmdet.core import build_sampler, fast_nms, images_to_levels, multi_apply
from ..builder import HEADS, build_loss
from .anchor_head import AnchorHead... | 940 | 39,435 |
insightface | detection/scrfd/mmdet/models/dense_heads/yolo_head.py | .py | # Copyright (c) 2019 Western Digital Corporation or its affiliates.
import warnings
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, normal_init
from mmcv.runner import force_fp32
from mmdet.core import (build_anchor_generator, build_assigner,
... | 537 | 22,663 |
insightface | detection/scrfd/mmdet/models/dense_heads/sabl_retina_head.py | .py | import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, bias_init_with_prob, normal_init
from mmcv.runner import force_fp32
from mmdet.core import (build_anchor_generator, build_assigner,
build_bbox_coder, build_sampler, images_to_levels,
m... | 619 | 26,915 |
insightface | detection/scrfd/mmdet/models/dense_heads/guided_anchor_head.py | .py | import torch
import torch.nn as nn
from mmcv.cnn import bias_init_with_prob, normal_init
from mmcv.ops import DeformConv2d, MaskedConv2d
from mmcv.runner import force_fp32
from mmdet.core import (anchor_inside_flags, build_anchor_generator,
build_assigner, build_bbox_coder, build_sampler,
... | 856 | 36,268 |
insightface | detection/scrfd/mmdet/models/dense_heads/fovea_head.py | .py | import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, normal_init
from mmcv.ops import DeformConv2d
from mmdet.core import multi_apply, multiclass_nms
from ..builder import HEADS
from .anchor_free_head import AnchorFreeHead
INF = 1e8
class FeatureAlign(nn.Module):
def __init__(self,
... | 342 | 14,405 |
insightface | detection/scrfd/mmdet/models/dense_heads/anchor_head.py | .py | import torch
import torch.nn as nn
from mmcv.cnn import normal_init
from mmcv.runner import force_fp32
from mmdet.core import (anchor_inside_flags, build_anchor_generator,
build_assigner, build_bbox_coder, build_sampler,
images_to_levels, multi_apply, multiclass_nms, unm... | 683 | 31,146 |
insightface | detection/scrfd/mmdet/models/dense_heads/base_dense_head.py | .py | from abc import ABCMeta, abstractmethod
import torch.nn as nn
class BaseDenseHead(nn.Module, metaclass=ABCMeta):
"""Base class for DenseHeads."""
def __init__(self):
super(BaseDenseHead, self).__init__()
@abstractmethod
def loss(self, **kwargs):
"""Compute losses of the head."""
... | 60 | 2,051 |
insightface | detection/scrfd/mmdet/models/dense_heads/retina_head.py | .py | 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 RetinaHead(AnchorHead):
r"""An anchor-based head used in `RetinaNet
<https://arxiv.org/pdf/1708.02002.pdf>`_.
The head co... | 115 | 4,051 |
insightface | detection/scrfd/mmdet/models/dense_heads/ssd_head.py | .py | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import xavier_init
from mmcv.runner import force_fp32
from mmdet.core import (build_anchor_generator, build_assigner,
build_bbox_coder, build_sampler, multi_apply)
from ..builder import HEADS
from ..losses import s... | 260 | 10,606 |
insightface | detection/scrfd/mmdet/models/dense_heads/anchor_free_head.py | .py | from abc import abstractmethod
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, bias_init_with_prob, normal_init
from mmcv.runner import force_fp32
from mmdet.core import multi_apply
from ..builder import HEADS, build_loss
from .base_dense_head import BaseDenseHead
from .dense_test_mixins import BB... | 341 | 13,494 |
insightface | detection/scrfd/mmdet/models/dense_heads/reppoints_head.py | .py | import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, bias_init_with_prob, normal_init
from mmcv.ops import DeformConv2d
from mmdet.core import (PointGenerator, build_assigner, build_sampler,
images_to_levels, multi_apply, multiclass_nms, unmap)
from ..builder i... | 764 | 35,305 |
insightface | detection/scrfd/mmdet/models/dense_heads/atss_head.py | .py | 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_apply, multiclass_nms,
reduc... | 651 | 28,304 |
insightface | detection/scrfd/mmdet/models/dense_heads/nasfcos_head.py | .py | import copy
import torch.nn as nn
from mmcv.cnn import (ConvModule, Scale, bias_init_with_prob,
caffe2_xavier_init, normal_init)
from mmdet.models.dense_heads.fcos_head import FCOSHead
from ..builder import HEADS
@HEADS.register_module()
class NASFCOSHead(FCOSHead):
"""Anchor-free head use... | 76 | 2,793 |
insightface | detection/scrfd/mmdet/models/dense_heads/dense_test_mixins.py | .py | from inspect import signature
import torch
from mmdet.core import bbox2result, bbox_mapping_back, multiclass_nms
class BBoxTestMixin(object):
"""Mixin class for test time augmentation of bboxes."""
def merge_aug_bboxes(self, aug_bboxes, aug_scores, img_metas):
"""Merge augmented detection bboxes an... | 98 | 3,983 |
insightface | detection/scrfd/mmdet/models/dense_heads/ga_retina_head.py | .py | import torch.nn as nn
from mmcv.cnn import ConvModule, bias_init_with_prob, normal_init
from mmcv.ops import MaskedConv2d
from ..builder import HEADS
from .guided_anchor_head import FeatureAdaption, GuidedAnchorHead
@HEADS.register_module()
class GARetinaHead(GuidedAnchorHead):
"""Guided-Anchor-based RetinaNet h... | 110 | 3,876 |
insightface | detection/scrfd/mmdet/models/dense_heads/retina_sepbn_head.py | .py | 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, conv/norm layers are shared across different FPN... | 114 | 4,288 |
insightface | detection/scrfd/mmdet/models/dense_heads/ga_rpn_head.py | .py | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import normal_init
from mmcv.ops import nms
from ..builder import HEADS
from .guided_anchor_head import GuidedAnchorHead
from .rpn_test_mixin import RPNTestMixin
@HEADS.register_module()
class GARPNHead(RPNTestMixin, GuidedAnchorHead):
... | 134 | 5,247 |
insightface | detection/scrfd/mmdet/models/dense_heads/corner_head.py | .py | from math import ceil, log
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, bias_init_with_prob
from mmcv.ops import CornerPool, batched_nms
from mmdet.core import multi_apply
from ..builder import HEADS, build_loss
from ..utils import gaussian_radius, gen_gaussian_t... | 1,065 | 46,260 |
insightface | detection/scrfd/mmdet/models/dense_heads/centripetal_head.py | .py | import torch.nn as nn
from mmcv.cnn import ConvModule, normal_init
from mmcv.ops import DeformConv2d
from mmdet.core import multi_apply
from ..builder import HEADS, build_loss
from .corner_head import CornerHead
@HEADS.register_module()
class CentripetalHead(CornerHead):
"""Head of CentripetalNet: Pursuing High-... | 422 | 19,469 |
insightface | detection/scrfd/mmdet/models/dense_heads/free_anchor_retina_head.py | .py | 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://arxiv.org/abs/1909.02466.
Args:
num... | 271 | 11,148 |
insightface | detection/scrfd/mmdet/models/backbones/resnext.py | .py | 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__(self,
inplanes,
... | 133 | 4,731 |
insightface | detection/scrfd/mmdet/models/backbones/resnet.py | .py | import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import (build_conv_layer, build_norm_layer, build_plugin_layer,
constant_init, kaiming_init)
from mmcv.runner import load_checkpoint
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.utils import get_root_logger
fr... | 714 | 25,491 |
insightface | detection/scrfd/mmdet/models/backbones/trident_resnet.py | .py | 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, kaiming_init
from torch.nn.modules.utils import _pair
from mmdet.models.backbones.resnet import Bottleneck, ResNet
from mmdet.models.builder import BACKBONES
... | 293 | 10,863 |
insightface | detection/scrfd/mmdet/models/backbones/detectors_resnext.py | .py | 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__(self,
inplanes,
... | 123 | 3,872 |
insightface | detection/scrfd/mmdet/models/backbones/regnet.py | .py | 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 backbone.
More details can be found in `paper <https://arxi... | 326 | 12,269 |
insightface | detection/scrfd/mmdet/models/backbones/mobilenet.py | .py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import torch
import torch.nn as nn
from mmdet.utils import get_root_logger
from mmcv.cnn import (build_conv_layer, build_norm_layer, build_plugin_layer,
constant_init, kaiming_init)
from m... | 130 | 4,417 |
insightface | detection/scrfd/mmdet/models/backbones/res2net.py | .py | 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, constant_init,
kaiming_init)
from mmcv.runner import load_checkpoint
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.utils import get_root_log... | 352 | 12,675 |
insightface | detection/scrfd/mmdet/models/backbones/ssd_vgg.py | .py | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import VGG, constant_init, kaiming_init, normal_init, xavier_init
from mmcv.runner import load_checkpoint
from mmdet.utils import get_root_logger
from ..builder import BACKBONES
@BACKBONES.register_module()
class SSDVGG(VGG):
"""VGG... | 170 | 5,882 |
insightface | detection/scrfd/mmdet/models/backbones/hrnet.py | .py | import torch.nn as nn
from mmcv.cnn import (build_conv_layer, build_norm_layer, constant_init,
kaiming_init)
from mmcv.runner import load_checkpoint
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.utils import get_root_logger
from ..builder import BACKBONES
from .resnet import BasicB... | 538 | 20,359 |
insightface | detection/scrfd/mmdet/models/backbones/hourglass.py | .py | import torch.nn as nn
from mmcv.cnn import ConvModule
from ..builder import BACKBONES
from ..utils import ResLayer
from .resnet import BasicBlock
class HourglassModule(nn.Module):
"""Hourglass Module for HourglassNet backbone.
Generate module recursively and use BasicBlock as the base unit.
Args:
... | 199 | 6,452 |
insightface | detection/scrfd/mmdet/models/backbones/detectors_resnet.py | .py | import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import build_conv_layer, build_norm_layer, constant_init
from ..builder import BACKBONES
from .resnet import Bottleneck as _Bottleneck
from .resnet import ResNet
class Bottleneck(_Bottleneck):
r"""Bottleneck for the ResNet backbone in `Detec... | 306 | 10,517 |
insightface | detection/scrfd/mmdet/models/backbones/resnest.py | .py | 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 ..builder import BACKBONES
from ..utils import ResLayer
from .resnet import Bottleneck as _Bottleneck
from .resnet import ResNetV1d
class RS... | 318 | 10,352 |
insightface | detection/scrfd/mmdet/models/backbones/darknet.py | .py | # Copyright (c) 2019 Western Digital Corporation or its affiliates.
import logging
import torch.nn as nn
from mmcv.cnn import ConvModule, constant_init, kaiming_init
from mmcv.runner import load_checkpoint
from torch.nn.modules.batchnorm import _BatchNorm
from ..builder import BACKBONES
class ResBlock(nn.Module):
... | 200 | 7,574 |
insightface | detection/scrfd/mmdet/models/roi_heads/standard_roi_head.py | .py | import torch
from mmdet.core import bbox2result, bbox2roi, build_assigner, build_sampler
from ..builder import HEADS, build_head, build_roi_extractor
from .base_roi_head import BaseRoIHead
from .test_mixins import BBoxTestMixin, MaskTestMixin
@HEADS.register_module()
class StandardRoIHead(BaseRoIHead, BBoxTestMixin,... | 296 | 12,334 |
insightface | detection/scrfd/mmdet/models/roi_heads/trident_roi_head.py | .py | import torch
from mmcv.ops import batched_nms
from mmdet.core import (bbox2result, bbox2roi, bbox_mapping, merge_aug_bboxes,
multiclass_nms)
from mmdet.models.roi_heads.standard_roi_head import StandardRoIHead
from ..builder import HEADS
@HEADS.register_module()
class TridentRoIHead(StandardR... | 112 | 4,730 |
insightface | detection/scrfd/mmdet/models/roi_heads/cascade_roi_head.py | .py | import torch
import torch.nn as nn
from mmdet.core import (bbox2result, bbox2roi, bbox_mapping, build_assigner,
build_sampler, merge_aug_bboxes, merge_aug_masks,
multiclass_nms)
from ..builder import HEADS, build_head, build_roi_extractor
from .base_roi_head import BaseR... | 508 | 22,053 |
insightface | detection/scrfd/mmdet/models/roi_heads/grid_roi_head.py | .py | import torch
from mmdet.core import bbox2result, bbox2roi
from ..builder import HEADS, build_head, build_roi_extractor
from .standard_roi_head import StandardRoIHead
@HEADS.register_module()
class GridRoIHead(StandardRoIHead):
"""Grid roi head for Grid R-CNN.
https://arxiv.org/abs/1811.12030
"""
de... | 177 | 7,100 |
insightface | detection/scrfd/mmdet/models/roi_heads/__init__.py | .py | from .base_roi_head import BaseRoIHead
from .bbox_heads import (BBoxHead, ConvFCBBoxHead, DoubleConvFCBBoxHead,
Shared2FCBBoxHead, Shared4Conv1FCBBoxHead)
from .cascade_roi_head import CascadeRoIHead
from .double_roi_head import DoubleHeadRoIHead
from .dynamic_roi_head import DynamicRoIHead
fro... | 28 | 1,372 |
insightface | detection/scrfd/mmdet/models/roi_heads/pisa_roi_head.py | .py | from mmdet.core import bbox2roi
from ..builder import HEADS
from ..losses.pisa_loss import carl_loss, isr_p
from .standard_roi_head import StandardRoIHead
@HEADS.register_module()
class PISARoIHead(StandardRoIHead):
r"""The RoI head for `Prime Sample Attention in Object Detection
<https://arxiv.org/abs/1904.0... | 160 | 6,608 |
insightface | detection/scrfd/mmdet/models/roi_heads/test_mixins.py | .py | import logging
import sys
import torch
from mmdet.core import (bbox2roi, bbox_mapping, merge_aug_bboxes,
merge_aug_masks, multiclass_nms)
logger = logging.getLogger(__name__)
if sys.version_info >= (3, 7):
from mmdet.utils.contextmanagers import completed
class BBoxTestMixin(object):
... | 269 | 11,617 |
insightface | detection/scrfd/mmdet/models/roi_heads/htc_roi_head.py | .py | import torch
import torch.nn.functional as F
from mmdet.core import (bbox2result, bbox2roi, bbox_mapping, merge_aug_bboxes,
merge_aug_masks, multiclass_nms)
from ..builder import HEADS, build_head, build_roi_extractor
from .cascade_roi_head import CascadeRoIHead
@HEADS.register_module()
class... | 590 | 25,919 |
insightface | detection/scrfd/mmdet/models/roi_heads/dynamic_roi_head.py | .py | import numpy as np
import torch
from mmdet.core import bbox2roi
from mmdet.models.losses import SmoothL1Loss
from ..builder import HEADS
from .standard_roi_head import StandardRoIHead
EPS = 1e-15
@HEADS.register_module()
class DynamicRoIHead(StandardRoIHead):
"""RoI head for `Dynamic R-CNN <https://arxiv.org/ab... | 155 | 6,606 |
insightface | detection/scrfd/mmdet/models/roi_heads/double_roi_head.py | .py | from ..builder import HEADS
from .standard_roi_head import StandardRoIHead
@HEADS.register_module()
class DoubleHeadRoIHead(StandardRoIHead):
"""RoI head for Double Head RCNN.
https://arxiv.org/abs/1904.06493
"""
def __init__(self, reg_roi_scale_factor, **kwargs):
super(DoubleHeadRoIHead, se... | 34 | 1,202 |
insightface | detection/scrfd/mmdet/models/roi_heads/point_rend_roi_head.py | .py | # Modified from https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend # noqa
import torch
import torch.nn.functional as F
from mmcv.ops import point_sample, rel_roi_point_to_rel_img_point
from mmdet.core import bbox2roi, bbox_mapping, merge_aug_masks
from .. import builder
from ..builder impo... | 219 | 10,311 |
insightface | detection/scrfd/mmdet/models/roi_heads/base_roi_head.py | .py | from abc import ABCMeta, abstractmethod
import torch.nn as nn
from ..builder import build_shared_head
class BaseRoIHead(nn.Module, metaclass=ABCMeta):
"""Base class for RoIHeads."""
def __init__(self,
bbox_roi_extractor=None,
bbox_head=None,
mask_roi_extra... | 107 | 3,060 |
insightface | detection/scrfd/mmdet/models/roi_heads/mask_scoring_roi_head.py | .py | import torch
from mmdet.core import bbox2roi
from ..builder import HEADS, build_head
from .standard_roi_head import StandardRoIHead
@HEADS.register_module()
class MaskScoringRoIHead(StandardRoIHead):
"""Mask Scoring RoIHead for Mask Scoring RCNN.
https://arxiv.org/abs/1903.00241
"""
def __init__(se... | 123 | 5,503 |
insightface | detection/scrfd/mmdet/models/roi_heads/mask_heads/fcn_mask_head.py | .py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import Conv2d, ConvModule, build_upsample_layer
from mmcv.ops.carafe import CARAFEPack
from mmcv.runner import auto_fp16, force_fp32
from torch.nn.modules.utils import _pair
from mmdet.core import mask_target
from mmdet... | 329 | 12,979 |
insightface | detection/scrfd/mmdet/models/roi_heads/mask_heads/htc_mask_head.py | .py | from mmcv.cnn import ConvModule
from mmdet.models.builder import HEADS
from .fcn_mask_head import FCNMaskHead
@HEADS.register_module()
class HTCMaskHead(FCNMaskHead):
def __init__(self, with_conv_res=True, *args, **kwargs):
super(HTCMaskHead, self).__init__(*args, **kwargs)
self.with_conv_res = ... | 44 | 1,383 |
insightface | detection/scrfd/mmdet/models/roi_heads/mask_heads/coarse_mask_head.py | .py | import torch.nn as nn
from mmcv.cnn import ConvModule, Linear, constant_init, xavier_init
from mmcv.runner import auto_fp16
from mmdet.models.builder import HEADS
from .fcn_mask_head import FCNMaskHead
@HEADS.register_module()
class CoarseMaskHead(FCNMaskHead):
"""Coarse mask head used in PointRend.
Compare... | 92 | 3,233 |
insightface | detection/scrfd/mmdet/models/roi_heads/mask_heads/__init__.py | .py | from .coarse_mask_head import CoarseMaskHead
from .fcn_mask_head import FCNMaskHead
from .fused_semantic_head import FusedSemanticHead
from .grid_head import GridHead
from .htc_mask_head import HTCMaskHead
from .mask_point_head import MaskPointHead
from .maskiou_head import MaskIoUHead
__all__ = [
'FCNMaskHead', '... | 13 | 422 |
insightface | detection/scrfd/mmdet/models/roi_heads/mask_heads/maskiou_head.py | .py | import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import Conv2d, Linear, MaxPool2d, kaiming_init, normal_init
from mmcv.runner import force_fp32
from torch.nn.modules.utils import _pair
from mmdet.models.builder import HEADS, build_loss
@HEADS.register_module()
class MaskIoUHead(nn.Module):
"""... | 187 | 7,332 |
insightface | detection/scrfd/mmdet/models/roi_heads/mask_heads/grid_head.py | .py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, kaiming_init, normal_init
from mmdet.models.builder import HEADS, build_loss
@HEADS.register_module()
class GridHead(nn.Module):
def __init__(self,
grid_points=9,
... | 360 | 15,432 |
insightface | detection/scrfd/mmdet/models/roi_heads/mask_heads/fused_semantic_head.py | .py | import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, kaiming_init
from mmcv.runner import auto_fp16, force_fp32
from mmdet.models.builder import HEADS
@HEADS.register_module()
class FusedSemanticHead(nn.Module):
r"""Multi-level fused semantic segmentation head.
.. code-bloc... | 108 | 3,610 |
insightface | detection/scrfd/mmdet/models/roi_heads/mask_heads/mask_point_head.py | .py | # Modified from https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend/point_head/point_head.py # noqa
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, normal_init
from mmcv.ops import point_sample, rel_roi_point_to_rel_img_point
from mmdet.models.builder import HEADS, build... | 301 | 13,190 |
insightface | detection/scrfd/mmdet/models/roi_heads/bbox_heads/convfc_bbox_head.py | .py | import torch.nn as nn
from mmcv.cnn import ConvModule
from mmdet.models.builder import HEADS
from .bbox_head import BBoxHead
@HEADS.register_module()
class ConvFCBBoxHead(BBoxHead):
r"""More general bbox head, with shared conv and fc layers and two optional
separated branches.
.. code-block:: none
... | 206 | 7,436 |
insightface | detection/scrfd/mmdet/models/roi_heads/bbox_heads/__init__.py | .py | from .bbox_head import BBoxHead
from .convfc_bbox_head import (ConvFCBBoxHead, Shared2FCBBoxHead,
Shared4Conv1FCBBoxHead)
from .double_bbox_head import DoubleConvFCBBoxHead
from .sabl_head import SABLHead
__all__ = [
'BBoxHead', 'ConvFCBBoxHead', 'Shared2FCBBoxHead',
'Shared4Conv... | 11 | 371 |
insightface | detection/scrfd/mmdet/models/roi_heads/bbox_heads/sabl_head.py | .py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, kaiming_init, normal_init, xavier_init
from mmcv.runner import force_fp32
from mmdet.core import build_bbox_coder, multi_apply, multiclass_nms
from mmdet.models.builder import HEADS, build_loss
from m... | 573 | 24,585 |
insightface | detection/scrfd/mmdet/models/roi_heads/bbox_heads/bbox_head.py | .py | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.runner import auto_fp16, force_fp32
from torch.nn.modules.utils import _pair
from mmdet.core import build_bbox_coder, multi_apply, multiclass_nms
from mmdet.models.builder import HEADS, build_loss
from mmdet.models.losses import accuracy
@H... | 336 | 13,684 |
insightface | detection/scrfd/mmdet/models/roi_heads/bbox_heads/double_bbox_head.py | .py | import torch.nn as nn
from mmcv.cnn import ConvModule, normal_init, xavier_init
from mmdet.models.backbones.resnet import Bottleneck
from mmdet.models.builder import HEADS
from .bbox_head import BBoxHead
class BasicResBlock(nn.Module):
"""Basic residual block.
This block is a little different from the block... | 173 | 5,380 |
insightface | detection/scrfd/mmdet/models/roi_heads/roi_extractors/base_roi_extractor.py | .py | from abc import ABCMeta, abstractmethod
import torch
import torch.nn as nn
from mmcv import ops
class BaseRoIExtractor(nn.Module, metaclass=ABCMeta):
"""Base class for RoI extractor.
Args:
roi_layer (dict): Specify RoI layer type and arguments.
out_channels (int): Output channels of RoI laye... | 84 | 2,760 |
insightface | detection/scrfd/mmdet/models/roi_heads/roi_extractors/generic_roi_extractor.py | .py | from mmcv.cnn.bricks import build_plugin_layer
from mmcv.runner import force_fp32
from mmdet.models.builder import ROI_EXTRACTORS
from .base_roi_extractor import BaseRoIExtractor
@ROI_EXTRACTORS.register_module()
class GenericRoIExtractor(BaseRoIExtractor):
"""Extract RoI features from all level feature maps lev... | 84 | 3,223 |
insightface | detection/scrfd/mmdet/models/roi_heads/roi_extractors/__init__.py | .py | from .generic_roi_extractor import GenericRoIExtractor
from .single_level_roi_extractor import SingleRoIExtractor
__all__ = [
'SingleRoIExtractor',
'GenericRoIExtractor',
]
| 8 | 182 |
insightface | detection/scrfd/mmdet/models/roi_heads/roi_extractors/single_level_roi_extractor.py | .py | import torch
from mmcv.runner import force_fp32
from mmdet.models.builder import ROI_EXTRACTORS
from .base_roi_extractor import BaseRoIExtractor
@ROI_EXTRACTORS.register_module()
class SingleRoIExtractor(BaseRoIExtractor):
"""Extract RoI features from a single level feature map.
If there are multiple input ... | 100 | 3,911 |
insightface | detection/scrfd/mmdet/models/roi_heads/shared_heads/res_layer.py | .py | import torch.nn as nn
from mmcv.cnn import constant_init, kaiming_init
from mmcv.runner import auto_fp16, load_checkpoint
from mmdet.models.backbones import ResNet
from mmdet.models.builder import SHARED_HEADS
from mmdet.models.utils import ResLayer as _ResLayer
from mmdet.utils import get_root_logger
@SHARED_HEADS.... | 78 | 2,454 |
insightface | detection/scrfd/mmdet/models/roi_heads/shared_heads/__init__.py | .py | from .res_layer import ResLayer
__all__ = ['ResLayer']
| 4 | 56 |
insightface | detection/scrfd/mmdet/models/detectors/retinanet.py | .py | from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class RetinaNet(SingleStageDetector):
"""Implementation of `RetinaNet <https://arxiv.org/abs/1708.02002>`_"""
def __init__(self,
backbone,
neck,
bbox_h... | 18 | 565 |
insightface | detection/scrfd/mmdet/models/detectors/detr.py | .py | from mmdet.core import bbox2result
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class DETR(SingleStageDetector):
r"""Implementation of `DETR: End-to-End Object Detection with
Transformers <https://arxiv.org/pdf/2005.12872>`_"""
def __init__(se... | 47 | 1,738 |
insightface | detection/scrfd/mmdet/models/detectors/gfl.py | .py | from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class GFL(SingleStageDetector):
def __init__(self,
backbone,
neck,
bbox_head,
train_cfg=None,
test_cfg=None,
... | 17 | 471 |
insightface | detection/scrfd/mmdet/models/detectors/nasfcos.py | .py | from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class NASFCOS(SingleStageDetector):
"""NAS-FCOS: Fast Neural Architecture Search for Object Detection.
https://arxiv.org/abs/1906.0442
"""
def __init__(self,
backbone,
... | 21 | 599 |
insightface | detection/scrfd/mmdet/models/detectors/fast_rcnn.py | .py | from ..builder import DETECTORS
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class FastRCNN(TwoStageDetector):
"""Implementation of `Fast R-CNN <https://arxiv.org/abs/1504.08083>`_"""
def __init__(self,
backbone,
roi_head,
train_cfg,
... | 53 | 2,053 |
insightface | detection/scrfd/mmdet/models/detectors/yolo.py | .py | # Copyright (c) 2019 Western Digital Corporation or its affiliates.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class YOLOV3(SingleStageDetector):
def __init__(self,
backbone,
neck,
bbox_head,
... | 19 | 549 |
insightface | detection/scrfd/mmdet/models/detectors/mask_scoring_rcnn.py | .py | from ..builder import DETECTORS
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class MaskScoringRCNN(TwoStageDetector):
"""Mask Scoring RCNN.
https://arxiv.org/abs/1903.00241
"""
def __init__(self,
backbone,
rpn_head,
roi_head,... | 28 | 701 |
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