repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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ERD | ERD-main/mmdet/models/backbones/resnext.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from mmcv.cnn import build_conv_layer, build_norm_layer
from mmdet.registry import MODELS
from ..layers import ResLayer
from .resnet import Bottleneck as _Bottleneck
from .resnet import ResNet
class Bottleneck(_Bottleneck):
expansion = 4
def __ini... | 5,712 | 35.858065 | 79 | py |
ERD | ERD-main/mmdet/models/backbones/cspnext.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Sequence, Tuple
import torch.nn as nn
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from mmengine.model import BaseModule
from torch import Tensor
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.registry import... | 7,784 | 38.719388 | 79 | py |
ERD | ERD-main/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 mmengine.model import BaseModule
from mmdet.registry import MODELS
from ..layers import ResLay... | 10,582 | 31.764706 | 79 | py |
ERD | ERD-main/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 mmengine.model import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.registry import MODELS
from ..layers import CSPLayer
class F... | 10,620 | 36.006969 | 77 | py |
ERD | ERD-main/mmdet/models/backbones/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .csp_darknet import CSPDarknet
from .cspnext import CSPNeXt
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 .h... | 1,039 | 36.142857 | 77 | py |
ERD | ERD-main/mmdet/models/backbones/hourglass.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Sequence
import torch
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
from mmdet.utils import ConfigType, OptMultiConfig
from ..layers ... | 7,744 | 33.269912 | 79 | py |
ERD | ERD-main/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 mmengine.model import Sequential
from mmdet.registry import MODELS
from .resnet import Bottleneck as _Bottleneck
from .resnet ... | 11,661 | 34.554878 | 79 | py |
ERD | ERD-main/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 mmengine.model import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.registry import MODELS
class R... | 8,235 | 37.485981 | 79 | py |
ERD | ERD-main/mmdet/datasets/deepfashion.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import DATASETS
from .coco import CocoDataset
@DATASETS.register_module()
class DeepFashionDataset(CocoDataset):
"""Dataset for DeepFashion."""
METAINFO = {
'classes': ('top', 'skirt', 'leggings', 'dress', 'outer', 'pants',
... | 819 | 40 | 79 | py |
ERD | ERD-main/mmdet/datasets/voc.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import DATASETS
from .xml_style import XMLDataset
@DATASETS.register_module()
class VOCDataset(XMLDataset):
"""Dataset for PASCAL VOC."""
METAINFO = {
'classes':
('aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car'... | 1,305 | 39.8125 | 79 | py |
ERD | ERD-main/mmdet/datasets/crowdhuman.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import logging
import os.path as osp
import warnings
from typing import List, Union
import mmcv
from mmengine.dist import get_rank
from mmengine.fileio import dump, get, get_text, load
from mmengine.logging import print_log
from mmengine.utils import Progress... | 6,153 | 37.4625 | 78 | py |
ERD | ERD-main/mmdet/datasets/base_det_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import List, Optional
from mmengine.dataset import BaseDataset
from mmengine.fileio import load
from mmengine.utils import is_abs
from ..registry import DATASETS
@DATASETS.register_module()
class BaseDetDataset(BaseDataset):
"""Ba... | 4,796 | 38.644628 | 125 | py |
ERD | ERD-main/mmdet/datasets/cityscapes.py | # Copyright (c) OpenMMLab. All rights reserved.
# Modified from https://github.com/facebookresearch/detectron2/blob/master/detectron2/data/datasets/cityscapes.py # noqa
# and https://github.com/mcordts/cityscapesScripts/blob/master/cityscapesscripts/evaluation/evalInstanceLevelSemanticLabeling.py # noqa
from typing im... | 2,323 | 36.483871 | 135 | py |
ERD | ERD-main/mmdet/datasets/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms import LoadImageFromFile
from mmdet.datasets.transforms import LoadAnnotations, LoadPanopticAnnotations
from mmdet.registry import TRANSFORMS
def get_loading_pipeline(pipeline):
"""Only keep loading image and annotations related configuration.... | 1,925 | 38.306122 | 78 | py |
ERD | ERD-main/mmdet/datasets/openimages.py | # Copyright (c) OpenMMLab. All rights reserved.
import csv
import os.path as osp
from collections import defaultdict
from typing import Dict, List, Optional
import numpy as np
from mmengine.fileio import get_local_path, load
from mmengine.utils import is_abs
from mmdet.registry import DATASETS
from .base_det_dataset ... | 20,079 | 40.402062 | 79 | py |
ERD | ERD-main/mmdet/datasets/dataset_wrappers.py | # Copyright (c) OpenMMLab. All rights reserved.
import collections
import copy
from typing import Sequence, Union
from mmengine.dataset import BaseDataset, force_full_init
from mmdet.registry import DATASETS, TRANSFORMS
@DATASETS.register_module()
class MultiImageMixDataset:
"""A wrapper of multiple images mixe... | 6,474 | 37.088235 | 79 | py |
ERD | ERD-main/mmdet/datasets/xml_style.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import xml.etree.ElementTree as ET
from typing import List, Optional, Union
import mmcv
from mmengine.fileio import get, get_local_path, list_from_file
from mmdet.registry import DATASETS
from .base_det_dataset import BaseDetDataset
@DATASETS.reg... | 6,524 | 33.893048 | 79 | py |
ERD | ERD-main/mmdet/datasets/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_det_dataset import BaseDetDataset
from .cityscapes import CityscapesDataset
from .coco import CocoDataset
from .coco_panoptic import CocoPanopticDataset
from .crowdhuman import CrowdHumanDataset
from .dataset_wrappers import MultiImageMixDataset
from .deepfashi... | 1,325 | 46.357143 | 78 | py |
ERD | ERD-main/mmdet/datasets/lvis.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from typing import List
from mmengine.fileio import get_local_path
from mmdet.registry import DATASETS
from .coco import CocoDataset
@DATASETS.register_module()
class LVISV05Dataset(CocoDataset):
"""LVIS v0.5 dataset for detection."""
... | 41,457 | 63.879499 | 157 | py |
ERD | ERD-main/mmdet/datasets/objects365.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
from typing import List
from mmengine.fileio import get_local_path
from mmdet.registry import DATASETS
from .api_wrappers import COCO
from .coco import CocoDataset
# images exist in annotations but not in image folder.
objv2_ignore_lis... | 14,792 | 50.905263 | 79 | py |
ERD | ERD-main/mmdet/datasets/coco_panoptic.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import Callable, List, Optional, Sequence, Union
from mmdet.registry import DATASETS
from .api_wrappers import COCOPanoptic
from .coco import CocoDataset
@DATASETS.register_module()
class CocoPanopticDataset(CocoDataset):
"""Coco d... | 13,726 | 46.663194 | 79 | py |
ERD | ERD-main/mmdet/datasets/coco.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
from typing import List, Union
from mmengine.fileio import get_local_path
from mmdet.registry import DATASETS
from .api_wrappers import COCO
from .base_det_dataset import BaseDetDataset
@DATASETS.register_module()
class CocoDataset(Ba... | 8,050 | 39.86802 | 79 | py |
ERD | ERD-main/mmdet/datasets/wider_face.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import xml.etree.ElementTree as ET
from mmengine.dist import is_main_process
from mmengine.fileio import get_local_path, list_from_file
from mmengine.utils import ProgressBar
from mmdet.registry import DATASETS
from mmdet.utils.typing_utils import ... | 3,103 | 33.10989 | 79 | py |
ERD | ERD-main/mmdet/datasets/api_wrappers/coco_api.py | # Copyright (c) OpenMMLab. All rights reserved.
# This file add snake case alias for coco api
import warnings
from collections import defaultdict
from typing import List, Optional, Union
import pycocotools
from pycocotools.coco import COCO as _COCO
from pycocotools.cocoeval import COCOeval as _COCOeval
class COCO(_... | 4,791 | 33.724638 | 126 | py |
ERD | ERD-main/mmdet/datasets/api_wrappers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .coco_api import COCO, COCOeval, COCOPanoptic
__all__ = ['COCO', 'COCOeval', 'COCOPanoptic']
| 147 | 28.6 | 50 | py |
ERD | ERD-main/mmdet/datasets/samplers/batch_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Sequence
from torch.utils.data import BatchSampler, Sampler
from mmdet.registry import DATA_SAMPLERS
# TODO: maybe replace with a data_loader wrapper
@DATA_SAMPLERS.register_module()
class AspectRatioBatchSampler(BatchSampler):
"""A sampler wrap... | 2,637 | 37.231884 | 79 | py |
ERD | ERD-main/mmdet/datasets/samplers/multi_source_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
from typing import Iterator, List, Optional, Sized, Union
import numpy as np
import torch
from mmengine.dataset import BaseDataset
from mmengine.dist import get_dist_info, sync_random_seed
from torch.utils.data import Sampler
from mmdet.registry import ... | 8,580 | 38.911628 | 79 | py |
ERD | ERD-main/mmdet/datasets/samplers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .batch_sampler import AspectRatioBatchSampler
from .class_aware_sampler import ClassAwareSampler
from .multi_source_sampler import GroupMultiSourceSampler, MultiSourceSampler
__all__ = [
'ClassAwareSampler', 'AspectRatioBatchSampler', 'MultiSourceSampler',
'... | 347 | 33.8 | 77 | py |
ERD | ERD-main/mmdet/datasets/samplers/class_aware_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Dict, Iterator, Optional, Union
import numpy as np
import torch
from mmengine.dataset import BaseDataset
from mmengine.dist import get_dist_info, sync_random_seed
from torch.utils.data import Sampler
from mmdet.registry import DATA_SAMPLER... | 7,132 | 35.958549 | 104 | py |
ERD | ERD-main/mmdet/datasets/transforms/formatting.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmcv.transforms import to_tensor
from mmcv.transforms.base import BaseTransform
from mmengine.structures import InstanceData, PixelData
from mmdet.registry import TRANSFORMS
from mmdet.structures import DetDataSample
from mmdet.structures.bbox imp... | 9,565 | 32.80212 | 79 | py |
ERD | ERD-main/mmdet/datasets/transforms/loading.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, Union
import mmcv
import numpy as np
import pycocotools.mask as maskUtils
import torch
from mmcv.transforms import BaseTransform
from mmcv.transforms import LoadAnnotations as MMCV_LoadAnnotations
from mmcv.transforms import LoadImageF... | 30,139 | 33.25 | 125 | py |
ERD | ERD-main/mmdet/datasets/transforms/instaboost.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import numpy as np
from mmcv.transforms import BaseTransform
from mmdet.registry import TRANSFORMS
@TRANSFORMS.register_module()
class InstaBoost(BaseTransform):
r"""Data augmentation method in `InstaBoost: Boosting Instance
Segmentati... | 5,489 | 35.357616 | 79 | py |
ERD | ERD-main/mmdet/datasets/transforms/geometric.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Union
import cv2
import mmcv
import numpy as np
from mmcv.transforms import BaseTransform
from mmcv.transforms.utils import cache_randomness
from mmdet.registry import TRANSFORMS
from mmdet.structures.bbox import autocast_box_type
from .aug... | 30,322 | 39.162914 | 79 | py |
ERD | ERD-main/mmdet/datasets/transforms/wrappers.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import Callable, Dict, List, Optional, Union
import numpy as np
from mmcv.transforms import BaseTransform, Compose
from mmcv.transforms.utils import cache_random_params, cache_randomness
from mmdet.registry import TRANSFORMS
@TRANSFORMS.registe... | 10,689 | 37.453237 | 148 | py |
ERD | ERD-main/mmdet/datasets/transforms/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .augment_wrappers import AutoAugment, RandAugment
from .colorspace import (AutoContrast, Brightness, Color, ColorTransform,
Contrast, Equalize, Invert, Posterize, Sharpness,
Solarize, SolarizeAdd)
from .formatting imp... | 2,191 | 58.243243 | 79 | py |
ERD | ERD-main/mmdet/datasets/transforms/colorspace.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Optional
import mmcv
import numpy as np
from mmcv.transforms import BaseTransform
from mmcv.transforms.utils import cache_randomness
from mmdet.registry import TRANSFORMS
from .augment_wrappers import _MAX_LEVEL, level_to_mag
@TRANSFORMS... | 16,984 | 33.382591 | 79 | py |
ERD | ERD-main/mmdet/datasets/transforms/augment_wrappers.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Union
import numpy as np
from mmcv.transforms import RandomChoice
from mmcv.transforms.utils import cache_randomness
from mmengine.config import ConfigDict
from mmdet.registry import TRANSFORMS
# AutoAugment uses reinforcement learnin... | 9,738 | 35.750943 | 79 | py |
ERD | ERD-main/mmdet/datasets/transforms/transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import inspect
import math
from typing import List, Optional, Sequence, Tuple, Union
import cv2
import mmcv
import numpy as np
from mmcv.image.geometric import _scale_size
from mmcv.transforms import BaseTransform
from mmcv.transforms import Pad as MMCV_Pad
f... | 140,750 | 37.699753 | 79 | py |
ERD | ERD-main/mmdet/visualization/palette.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple, Union
import mmcv
import numpy as np
from mmengine.utils import is_str
def palette_val(palette: List[tuple]) -> List[tuple]:
"""Convert palette to matplotlib palette.
Args:
palette (List[tuple]): A list of color tuples.
... | 3,608 | 32.110092 | 79 | py |
ERD | ERD-main/mmdet/visualization/local_visualizer.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Tuple, Union
import cv2
import mmcv
import numpy as np
import torch
from mmengine.dist import master_only
from mmengine.structures import InstanceData, PixelData
from mmengine.visualization import Visualizer
from ..evaluation imp... | 17,127 | 41.606965 | 79 | py |
ERD | ERD-main/mmdet/visualization/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .local_visualizer import DetLocalVisualizer
from .palette import get_palette, jitter_color, palette_val
__all__ = ['palette_val', 'get_palette', 'DetLocalVisualizer', 'jitter_color']
| 237 | 38.666667 | 78 | py |
ERD | ERD-main/mmdet/engine/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .hooks import * # noqa: F401, F403
from .optimizers import * # noqa: F401, F403
from .runner import * # noqa: F401, F403
from .schedulers import * # noqa: F401, F403
| 223 | 36.333333 | 47 | py |
ERD | ERD-main/mmdet/engine/runner/loops.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.model import is_model_wrapper
from mmengine.runner import ValLoop
from mmdet.registry import LOOPS
@LOOPS.register_module()
class TeacherStudentValLoop(ValLoop):
"""Loop for validation of model teacher and student."""
def run(self):
"""L... | 1,407 | 34.2 | 75 | py |
ERD | ERD-main/mmdet/engine/runner/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .loops import TeacherStudentValLoop
__all__ = ['TeacherStudentValLoop']
| 126 | 24.4 | 47 | py |
ERD | ERD-main/mmdet/engine/hooks/set_epoch_info_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.hooks import Hook
from mmengine.model.wrappers import is_model_wrapper
from mmdet.registry import HOOKS
@HOOKS.register_module()
class SetEpochInfoHook(Hook):
"""Set runner's epoch information to the model."""
def before_train_epoch(self, runner)... | 480 | 25.722222 | 54 | py |
ERD | ERD-main/mmdet/engine/hooks/checkloss_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
from mmengine.hooks import Hook
from mmengine.runner import Runner
from mmdet.registry import HOOKS
@HOOKS.register_module()
class CheckInvalidLossHook(Hook):
"""Check invalid loss hook.
This hook will regularly check ... | 1,406 | 31.72093 | 78 | py |
ERD | ERD-main/mmdet/engine/hooks/pipeline_switch_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.transforms import Compose
from mmengine.hooks import Hook
from mmdet.registry import HOOKS
@HOOKS.register_module()
class PipelineSwitchHook(Hook):
"""Switch data pipeline at switch_epoch.
Args:
switch_epoch (int): switch pipeline at this epo... | 1,608 | 36.418605 | 76 | py |
ERD | ERD-main/mmdet/engine/hooks/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
def trigger_visualization_hook(cfg, args):
default_hooks = cfg.default_hooks
if 'visualization' in default_hooks:
visualization_hook = default_hooks['visualization']
# Turn on visualization
visualization_hook['draw'] = True
if args.... | 737 | 35.9 | 66 | py |
ERD | ERD-main/mmdet/engine/hooks/visualization_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import warnings
from typing import Optional, Sequence
import mmcv
from mmengine.fileio import get
from mmengine.hooks import Hook
from mmengine.runner import Runner
from mmengine.utils import mkdir_or_exist
from mmengine.visualization import Visuali... | 6,010 | 39.614865 | 79 | py |
ERD | ERD-main/mmdet/engine/hooks/sync_norm_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections import OrderedDict
from mmengine.dist import get_dist_info
from mmengine.hooks import Hook
from torch import nn
from mmdet.registry import HOOKS
from mmdet.utils import all_reduce_dict
def get_norm_states(module: nn.Module) -> OrderedDict:
"""Get ... | 1,247 | 31.842105 | 77 | py |
ERD | ERD-main/mmdet/engine/hooks/mean_teacher_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch.nn as nn
from mmengine.hooks import Hook
from mmengine.model import is_model_wrapper
from mmengine.runner import Runner
from mmdet.registry import HOOKS
@HOOKS.register_module()
class MeanTeacherHook(Hook):
"""Mean Teacher ... | 3,537 | 39.204545 | 77 | py |
ERD | ERD-main/mmdet/engine/hooks/yolox_mode_switch_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Sequence
from mmengine.hooks import Hook
from mmengine.model import is_model_wrapper
from mmdet.registry import HOOKS
@HOOKS.register_module()
class YOLOXModeSwitchHook(Hook):
"""Switch the mode of YOLOX during training.
This hook turns off... | 2,434 | 39.583333 | 78 | py |
ERD | ERD-main/mmdet/engine/hooks/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .checkloss_hook import CheckInvalidLossHook
from .mean_teacher_hook import MeanTeacherHook
from .memory_profiler_hook import MemoryProfilerHook
from .num_class_check_hook import NumClassCheckHook
from .pipeline_switch_hook import PipelineSwitchHook
from .set_epoch_in... | 799 | 41.105263 | 73 | py |
ERD | ERD-main/mmdet/engine/hooks/num_class_check_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn import VGG
from mmengine.hooks import Hook
from mmengine.runner import Runner
from mmdet.registry import HOOKS
@HOOKS.register_module()
class NumClassCheckHook(Hook):
"""Check whether the `num_classes` in head matches the length of `classes`
in `d... | 2,813 | 39.782609 | 78 | py |
ERD | ERD-main/mmdet/engine/hooks/memory_profiler_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence
from mmengine.hooks import Hook
from mmengine.runner import Runner
from mmdet.registry import HOOKS
from mmdet.structures import DetDataSample
@HOOKS.register_module()
class MemoryProfilerHook(Hook):
"""Memory profiler hook re... | 4,650 | 37.122951 | 79 | py |
ERD | ERD-main/mmdet/engine/optimizers/layer_decay_optimizer_constructor.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
from typing import List
import torch.nn as nn
from mmengine.dist import get_dist_info
from mmengine.logging import MMLogger
from mmengine.optim import DefaultOptimWrapperConstructor
from mmdet.registry import OPTIM_WRAPPER_CONSTRUCTORS
def get_layer_id_for... | 6,020 | 36.867925 | 77 | py |
ERD | ERD-main/mmdet/engine/optimizers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .layer_decay_optimizer_constructor import \
LearningRateDecayOptimizerConstructor
__all__ = ['LearningRateDecayOptimizerConstructor']
| 192 | 31.166667 | 51 | py |
ERD | ERD-main/mmdet/engine/schedulers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .quadratic_warmup import (QuadraticWarmupLR, QuadraticWarmupMomentum,
QuadraticWarmupParamScheduler)
__all__ = [
'QuadraticWarmupParamScheduler', 'QuadraticWarmupMomentum',
'QuadraticWarmupLR'
]
| 288 | 31.111111 | 74 | py |
ERD | ERD-main/mmdet/engine/schedulers/quadratic_warmup.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.optim.scheduler.lr_scheduler import LRSchedulerMixin
from mmengine.optim.scheduler.momentum_scheduler import MomentumSchedulerMixin
from mmengine.optim.scheduler.param_scheduler import INF, _ParamScheduler
from torch.optim import Optimizer
from mmdet.regist... | 5,176 | 38.219697 | 79 | py |
ERD | ERD-main/mmdet/utils/contextmanagers.py | # Copyright (c) OpenMMLab. All rights reserved.
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 comple... | 4,125 | 32.544715 | 79 | py |
ERD | ERD-main/mmdet/utils/util_mixins.py | # Copyright (c) OpenMMLab. All rights reserved.
"""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 ob... | 3,712 | 34.028302 | 78 | py |
ERD | ERD-main/mmdet/utils/benchmark.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import time
from functools import partial
from typing import List, Optional, Union
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import fuse_conv_bn
# TODO need update
# from mmcv.runner import wrap_fp16_model
from mmengine import MMLogg... | 19,185 | 35.684512 | 79 | py |
ERD | ERD-main/mmdet/utils/memory.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from collections import abc
from contextlib import contextmanager
from functools import wraps
import torch
from mmengine.logging import MMLogger
def cast_tensor_type(inputs, src_type=None, dst_type=None):
"""Recursively convert Tensor in inputs from... | 8,099 | 37.028169 | 103 | py |
ERD | ERD-main/mmdet/utils/typing_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Collecting some commonly used type hint in mmdetection."""
from typing import List, Optional, Sequence, Tuple, Union
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData, PixelData
# TODO: Need to avoid circular import with assigner and... | 737 | 31.086957 | 63 | py |
ERD | ERD-main/mmdet/utils/replace_cfg_vals.py | # Copyright (c) OpenMMLab. All rights reserved.
import re
from mmengine.config import Config
def replace_cfg_vals(ori_cfg):
"""Replace the string "${key}" with the corresponding value.
Replace the "${key}" with the value of ori_cfg.key in the config. And
support replacing the chained ${key}. Such as, re... | 2,914 | 40.056338 | 92 | py |
ERD | ERD-main/mmdet/utils/profiling.py | # Copyright (c) OpenMMLab. All rights reserved.
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... | 1,336 | 31.609756 | 73 | py |
ERD | ERD-main/mmdet/utils/dist_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import functools
import pickle
import warnings
from collections import OrderedDict
import numpy as np
import torch
import torch.distributed as dist
from mmengine.dist import get_dist_info
from torch._utils import (_flatten_dense_tensors, _take_tensors,
... | 6,194 | 32.486486 | 77 | py |
ERD | ERD-main/mmdet/utils/misc.py | # Copyright (c) OpenMMLab. All rights reserved.
import glob
import os
import os.path as osp
import warnings
from typing import Union
from mmengine.config import Config, ConfigDict
from mmengine.logging import print_log
def find_latest_checkpoint(path, suffix='pth'):
"""Find the latest checkpoint from the working... | 3,445 | 31.509434 | 74 | py |
ERD | ERD-main/mmdet/utils/setup_env.py | # Copyright (c) OpenMMLab. All rights reserved.
import datetime
import logging
import os
import platform
import warnings
import cv2
import torch.multiprocessing as mp
from mmengine import DefaultScope
from mmengine.logging import print_log
from mmengine.utils import digit_version
def setup_cache_size_limit_of_dynamo... | 5,383 | 44.243697 | 112 | py |
ERD | ERD-main/mmdet/utils/util_random.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Helpers for random number generators."""
import numpy as np
def ensure_rng(rng=None):
"""Coerces input into a random number generator.
If the input is None, then a global random state is returned.
If the input is a numeric value, then that is used as a ... | 1,025 | 28.314286 | 119 | py |
ERD | ERD-main/mmdet/utils/logger.py | # Copyright (c) OpenMMLab. All rights reserved.
import inspect
from mmengine.logging import print_log
def get_caller_name():
"""Get name of caller method."""
# this_func_frame = inspect.stack()[0][0] # i.e., get_caller_name
# callee_frame = inspect.stack()[1][0] # e.g., log_img_scale
caller_frame =... | 1,546 | 29.94 | 73 | py |
ERD | ERD-main/mmdet/utils/collect_env.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.utils import get_git_hash
from mmengine.utils.dl_utils import collect_env as collect_base_env
import mmdet
def collect_env():
"""Collect the information of the running environments."""
env_info = collect_base_env()
env_info['MMDetection'] = mm... | 488 | 26.166667 | 74 | py |
ERD | ERD-main/mmdet/utils/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .collect_env import collect_env
from .compat_config import compat_cfg
from .dist_utils import (all_reduce_dict, allreduce_grads, reduce_mean,
sync_random_seed)
from .logger import get_caller_name, log_img_scale
from .memory import AvoidCUDAOO... | 1,394 | 48.821429 | 79 | py |
ERD | ERD-main/mmdet/utils/compat_config.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from mmengine.config import ConfigDict
def compat_cfg(cfg):
"""This function would modify some filed to keep the compatibility of
config.
For example, it will move some args which will be deprecated to the correct
fields.
... | 5,977 | 41.7 | 79 | py |
ERD | ERD-main/mmdet/utils/split_batch.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
def split_batch(img, img_metas, kwargs):
"""Split data_batch by tags.
Code is modified from
<https://github.com/microsoft/SoftTeacher/blob/main/ssod/utils/structure_utils.py> # noqa: E501
Args:
img (Tensor): of shape (N, C, H, W) e... | 1,778 | 37.673913 | 99 | py |
ERD | ERD-main/mmdet/structures/det_data_sample.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional
from mmengine.structures import BaseDataElement, InstanceData, PixelData
class DetDataSample(BaseDataElement):
"""A data structure interface of MMDetection. They are used as interfaces
between different components.
The att... | 7,409 | 33.626168 | 79 | py |
ERD | ERD-main/mmdet/structures/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .det_data_sample import DetDataSample, OptSampleList, SampleList
__all__ = ['DetDataSample', 'SampleList', 'OptSampleList']
| 178 | 34.8 | 69 | py |
ERD | ERD-main/mmdet/structures/mask/structures.py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
from abc import ABCMeta, abstractmethod
from typing import Sequence, Type, TypeVar
import cv2
import mmcv
import numpy as np
import pycocotools.mask as maskUtils
import shapely.geometry as geometry
import torch
from mmcv.ops.roi_align import roi_align
T... | 44,891 | 36.59799 | 141 | py |
ERD | ERD-main/mmdet/structures/mask/mask_target.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from torch.nn.modules.utils import _pair
def mask_target(pos_proposals_list, pos_assigned_gt_inds_list, gt_masks_list,
cfg):
"""Compute mask target for positive proposals in multiple images.
Args:
pos_prop... | 5,264 | 40.132813 | 78 | py |
ERD | ERD-main/mmdet/structures/mask/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pycocotools.mask as mask_util
import torch
from mmengine.utils import slice_list
def split_combined_polys(polys, poly_lens, polys_per_mask):
"""Split the combined 1-D polys into masks.
A mask is represented as a list of polys, and a po... | 2,508 | 31.166667 | 75 | py |
ERD | ERD-main/mmdet/structures/mask/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .mask_target import mask_target
from .structures import (BaseInstanceMasks, BitmapMasks, PolygonMasks,
bitmap_to_polygon, polygon_to_bitmap)
from .utils import encode_mask_results, mask2bbox, split_combined_polys
__all__ = [
'split_combi... | 486 | 39.583333 | 78 | py |
ERD | ERD-main/mmdet/structures/bbox/box_type.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Callable, Optional, Tuple, Type, Union
import numpy as np
import torch
from torch import Tensor
from .base_boxes import BaseBoxes
BoxType = Union[np.ndarray, Tensor, BaseBoxes]
box_types: dict = {}
_box_type_to_name: dict = {}
box_converters: dict =... | 10,566 | 34.579125 | 79 | py |
ERD | ERD-main/mmdet/structures/bbox/horizontal_boxes.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, TypeVar, Union
import cv2
import numpy as np
import torch
from torch import BoolTensor, Tensor
from mmdet.structures.mask.structures import BitmapMasks, PolygonMasks
from .base_boxes import BaseBoxes
from .bbox_overlaps import bbox_ov... | 16,542 | 39.05569 | 78 | py |
ERD | ERD-main/mmdet/structures/bbox/base_boxes.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod, abstractproperty, abstractstaticmethod
from typing import List, Optional, Sequence, Tuple, Type, TypeVar, Union
import numpy as np
import torch
from torch import BoolTensor, Tensor
from mmdet.structures.mask.structures import Bit... | 20,934 | 37.063636 | 79 | py |
ERD | ERD-main/mmdet/structures/bbox/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_boxes import BaseBoxes
from .bbox_overlaps import bbox_overlaps
from .box_type import (autocast_box_type, convert_box_type, get_box_type,
register_box, register_box_converter)
from .horizontal_boxes import HorizontalBoxes
from .transforms... | 1,319 | 51.8 | 78 | py |
ERD | ERD-main/mmdet/structures/bbox/bbox_overlaps.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
def fp16_clamp(x, min=None, max=None):
if not x.is_cuda and x.dtype == torch.float16:
# clamp for cpu float16, tensor fp16 has no clamp implementation
return x.float().clamp(min, max).half()
return x.clamp(min, max)
def bbox_overl... | 7,323 | 35.62 | 78 | py |
ERD | ERD-main/mmdet/structures/bbox/transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import torch
from torch import Tensor
from mmdet.structures.bbox import BaseBoxes
def find_inside_bboxes(bboxes: Tensor, img_h: int, img_w: int) -> Tensor:
"""Find bboxes as long as a par... | 16,133 | 33.474359 | 79 | py |
fl-analysis | fl-analysis-master/documentation/conf.py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 1,992 | 35.236364 | 79 | py |
fl-analysis | fl-analysis-master/src/main.py | import tensorflow as tf
import numpy as np
from src.client_attacks import Attack
from src.config_cli import get_config
from src.federated_averaging import FederatedAveraging
from src.tf_model import Model
from src.config.definitions import Config
import logging
logger = logging.getLogger(__name__)
def load_model():... | 5,117 | 38.068702 | 118 | py |
fl-analysis | fl-analysis-master/src/learning_rate_decay.py | import numpy as np
import tensorflow as tf
class StepDecay:
def __init__(self, initial_lr, total_steps, bound1=0.33, bound2=0.66):
# store the base initial learning rate, drop factor, and
# epochs to drop every
self.initial_lr = initial_lr
self.total_steps = total_steps
sel... | 746 | 24.758621 | 74 | py |
fl-analysis | fl-analysis-master/src/test_util.py | from unittest import TestCase
import numpy as np
import util
class UtilityTest(TestCase):
def test_aggregate_weights_masked_simple(self):
current_weights = [VariableWrapper([0.]) for _ in range(8)]
w1 = np.array([[1], [1], [1], [1], [2], [2], [2], [2]])
w2 = np.array([[3], [3], [3], [3], ... | 2,747 | 41.9375 | 106 | py |
fl-analysis | fl-analysis-master/src/federated_averaging.py | from __future__ import absolute_import, division, print_function, unicode_literals
import json
import os
import time
import logging
from copy import deepcopy
from pathlib import Path
from threading import Thread
from typing import List, Any
import numpy as np
import tensorflow as tf
# from src.torch_compat.data_hold... | 32,412 | 47.595202 | 235 | py |
fl-analysis | fl-analysis-master/src/prob_clip.py | import unittest
import numpy as np
import time
def clip(updates, num_bits, num_frac, random=True):
"""Clips an update as if we had fixed precision `num_bits` with `num_frac` fractional bits"""
assert num_bits >= num_frac
# shifted = np.array(update, dtype=np.float) * pow(2, num_frac)
# print(shifted)
... | 3,384 | 29.495495 | 122 | py |
fl-analysis | fl-analysis-master/src/client_attacks.py | from enum import Enum
class Attack(Enum):
# Targeted attack strategies
BACKDOOR = "backdoor"
# Byzantine strategies
UNTARGETED = 'untargeted'
DEVIATE_MAX_NORM = 'deviate_max_norm'
@staticmethod
def is_targeted(type) -> bool:
"""
:type type: Attack
"""
if ... | 408 | 17.590909 | 41 | py |
fl-analysis | fl-analysis-master/src/loss.py | import tensorflow as tf
import numpy as np
# Define custom loss
def regularized_loss(local_weights, global_weights, alpha):
# Create a loss function that adds the MSE loss to the mean of all squared activations of a specific layer
def loss(y_true, y_pred):
cross_entropy_loss = tf.keras.losses.SparseC... | 1,069 | 37.214286 | 110 | py |
fl-analysis | fl-analysis-master/src/custom_summary_writer.py | import numpy as np
from tensorboardX import SummaryWriter
from os.path import join
from numpy.linalg import norm
from tensorflow.python.keras.layers.convolutional import Conv2D, ZeroPadding2D, DepthwiseConv2D
from tensorflow.python.keras.layers.core import Dense
from tensorflow.python.keras.layers.embeddings import Emb... | 9,803 | 47.534653 | 130 | py |
fl-analysis | fl-analysis-master/src/attack_dataset_config.py |
class AttackDatasetConfig(object):
def __init__(self, type, train=[], test=[],
target_label=None,
remove_from_benign_dataset=False,
augment_times=0,
augment_data=False,
tasks=None,
source_label=None,
... | 1,148 | 34.90625 | 68 | py |
fl-analysis | fl-analysis-master/src/tf_model.py | import math
import tensorflow as tf
from src.model.modelc import build_modelc
from src.model.lenet import build_lenet5
from src.model.resnet import resnet_v2, resnet_v1
from src.model.stacked_lstm import build_stacked_lstm
from src.model.test_model import build_test_model
from src.subspace.builder.model_builders impo... | 11,849 | 48.170124 | 180 | py |
fl-analysis | fl-analysis-master/src/config_cli.py | from typing import Tuple, Any
import configargparse
import logging
import src.config as cnf
from src.config.definitions import Config
parser = configargparse.ArgumentParser()
parser.add('-c', '--config_filepath', required=True, help='Path to config file.')
# logging configuration
parser.add_argument(
'-d', '--de... | 876 | 23.361111 | 81 | py |
fl-analysis | fl-analysis-master/src/client.py | import itertools
import random
import logging
from copy import deepcopy
import numpy as np
import tensorflow as tf
from tensorflow.python.keras.callbacks import LearningRateScheduler
import src.prob_clip as prob_clip
from src.data.tf_data import Dataset
from src.error import ConfigurationError
from src.attack.attack ... | 34,219 | 43.849279 | 155 | py |
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