repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmengine.config import ConfigDict
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
from torch import Tensor
from torc... | 32,325 | 44.593794 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/sabl_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Tuple
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from torch import ... | 30,500 | 43.527007 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/dii_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
import torch.nn as nn
from mmcv.cnn import build_activation_layer, build_norm_layer
from mmcv.cnn.bricks.transformer import FFN, MultiheadAttention
from mmengine.config import ConfigDict
from mmengine.model import bias_init_with_prob
... | 19,266 | 44.548463 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/convfc_bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, Union
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.config import ConfigDict
from torch import Tensor
from mmdet.registry import MODELS
from .bbox_head import BBoxHead
@MODELS.register_module()
class ConvFCBBox... | 9,510 | 37.044 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/bbox_heads/double_bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule, ModuleList
from torch import Tensor
from mmdet.models.backbones.resnet import Bottleneck
from mmdet.registry import MODELS
from mmdet.utils import Confi... | 6,769 | 32.85 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/shared_heads/res_layer.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
from mmengine.model import BaseModule
from mmdet.models.backbones import ResNet
from mmdet.models.layers import ResLayer as _ResLayer
from mmdet.registry import MODELS
@MODELS.register_module()
class ResLayer(BaseModule):
def... | 2,545 | 30.825 | 76 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/grid_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Tuple
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.config import ConfigDict
from mmengine.model import BaseModule
from mmengine.structures import Instanc... | 20,849 | 41.464358 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/dynamic_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List
import torch
import torch.nn as nn
from mmengine.config import ConfigDict
from torch import Tensor
from mmdet.models.task_modules import SamplingResult
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, InstanceList, OptConfigT... | 6,739 | 39.359281 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/coarse_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn import ConvModule, Linear
from mmengine.model import ModuleList
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import MultiConfig
from .fcn_mask_head import FCNMaskHead
@MODELS.register_module()
class CoarseMaskHead(FCNMaskHea... | 3,887 | 34.027027 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/maskiou_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import Conv2d, Linear, MaxPool2d
from mmengine.config import ConfigDict
from mmengine.model import BaseModule
from mmengine.structures import InstanceData
from torch import... | 11,667 | 40.971223 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/feature_relay_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch.nn as nn
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.utils import MultiConfig
@MODELS.register_module()
class FeatureRelayHead(BaseModule):
"""Feature Relay He... | 2,295 | 32.275362 | 78 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/global_context_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.models.layers import ResLayer, SimplifiedBasicBlock
from mmdet.registry import MODELS
from mmdet.utils import M... | 4,458 | 33.835938 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/htc_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Union
from mmcv.cnn import ConvModule
from torch import Tensor
from mmdet.registry import MODELS
from .fcn_mask_head import FCNMaskHead
@MODELS.register_module()
class HTCMaskHead(FCNMaskHead):
"""Mask head for HTC.
Args:
... | 2,190 | 32.19697 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/fcn_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, build_conv_layer, build_upsample_layer
from mmcv.ops.carafe import CARAFEPack
from mmengine.config import ConfigDict
from... | 20,127 | 41.374737 | 85 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/fused_semantic_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import Tuple
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmengine.config import ConfigDict
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from mm... | 4,978 | 33.337931 | 79 | py |
ERD | ERD-main/mmdet/models/roi_heads/mask_heads/mask_point_head.py | # Copyright (c) OpenMMLab. All rights reserved.
# Modified from https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend/point_head/point_head.py # noqa
from typing import List, Tuple
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.ops import point_sample, rel_roi_po... | 12,664 | 43.438596 | 126 | py |
ERD | ERD-main/mmdet/models/losses/ghm_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmdet.registry import MODELS
from .utils import weight_reduce_loss
def _expand_onehot_labels(labels, label_weights, label_channels):
bin_labels = labels.new_full((labels.size(0), label_channels... | 7,928 | 36.051402 | 79 | py |
ERD | ERD-main/mmdet/models/losses/mse_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weighted_loss
@weighted_loss
def mse_loss(pred: Tensor, target: Tensor) -> Tensor:
"""A Wrapper of MSE l... | 2,267 | 31.4 | 78 | py |
ERD | ERD-main/mmdet/models/losses/dice_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmdet.registry import MODELS
from .utils import weight_reduce_loss
def dice_loss(pred,
target,
weight=None,
eps=1e-3,
reduction='mean',
naive_dice=False,
... | 5,329 | 35.258503 | 78 | py |
ERD | ERD-main/mmdet/models/losses/pisa_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
from torch import Tensor
from mmdet.structures.bbox import bbox_overlaps
from ..task_modules.coders import BaseBBoxCoder
from ..task_modules.samplers import SamplingResult
def isr_p(cls_score:... | 7,670 | 39.803191 | 79 | py |
ERD | ERD-main/mmdet/models/losses/balanced_l1_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import torch.nn as nn
from mmdet.registry import MODELS
from .utils import weighted_loss
@weighted_loss
def balanced_l1_loss(pred,
target,
beta=1.0,
alpha=0.5,
... | 4,205 | 33.195122 | 79 | py |
ERD | ERD-main/mmdet/models/losses/iou_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import warnings
from typing import Optional
import torch
import torch.nn as nn
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures.bbox import bbox_overlaps
from .utils import weighted_loss
@weighted_loss
def iou_loss(pred: Ten... | 26,172 | 34.131544 | 79 | py |
ERD | ERD-main/mmdet/models/losses/smooth_l1_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
import torch.nn as nn
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weighted_loss
@weighted_loss
def smooth_l1_loss(pred: Tensor, target: Tensor, beta: float = 1.0) -> Tensor:
"""Smooth L1 lo... | 4,971 | 30.468354 | 78 | py |
ERD | ERD-main/mmdet/models/losses/gfocal_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from functools import partial
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmdet.models.losses.utils import weighted_loss
from mmdet.registry import MODELS
@weighted_loss
def quality_focal_loss(pred, target, beta=2.0):
r"""Quality Focal ... | 11,838 | 38.996622 | 79 | py |
ERD | ERD-main/mmdet/models/losses/varifocal_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weight_reduce_loss
def varifocal_loss(pred: Tensor,
target: Tensor,
we... | 5,749 | 39.492958 | 79 | py |
ERD | ERD-main/mmdet/models/losses/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import functools
from typing import Callable, Optional
import torch
import torch.nn.functional as F
from torch import Tensor
def reduce_loss(loss: Tensor, reduction: str) -> Tensor:
"""Reduce loss as specified.
Args:
loss (Tensor): Elementwise loss ten... | 4,256 | 32.785714 | 79 | py |
ERD | ERD-main/mmdet/models/losses/seesaw_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import MODELS
from .accuracy import accuracy
from .cross_entropy_loss import cross_entropy
from .utils import ... | 10,723 | 37.437276 | 79 | py |
ERD | ERD-main/mmdet/models/losses/ae_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmdet.registry import MODELS
def ae_loss_per_image(tl_preds, br_preds, match):
"""Associative Embedding Loss in one image.
Associative Embedding Loss including two parts: pull loss and pus... | 3,810 | 36.362745 | 143 | py |
ERD | ERD-main/mmdet/models/losses/accuracy.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
def accuracy(pred, target, topk=1, thresh=None):
"""Calculate accuracy according to the prediction and target.
Args:
pred (torch.Tensor): The model prediction, shape (N, num_class)
target (torch.Tensor): The target of each ... | 2,953 | 36.871795 | 79 | py |
ERD | ERD-main/mmdet/models/losses/focal_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.ops import sigmoid_focal_loss as _sigmoid_focal_loss
from mmdet.registry import MODELS
from .utils import weight_reduce_loss
# This method is only for debugging
def py_sigmoid_focal_loss(pred,... | 10,834 | 41.996032 | 79 | py |
ERD | ERD-main/mmdet/models/losses/cross_entropy_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmdet.registry import MODELS
from .utils import weight_reduce_loss
def cross_entropy(pred,
label,
weight=None,
reduction='mean... | 12,148 | 39.228477 | 132 | py |
ERD | ERD-main/mmdet/models/losses/gaussian_focal_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Union
import torch.nn as nn
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weight_reduce_loss, weighted_loss
@weighted_loss
def gaussian_focal_loss(pred: Tensor,
gaussian_target: Tenso... | 7,689 | 40.122995 | 108 | py |
ERD | ERD-main/mmdet/models/losses/kd_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weighted_loss
@weighted_loss
def knowledge_distillation_kl_div_loss(pred: Tensor,
... | 3,123 | 31.541667 | 78 | py |
ERD | ERD-main/mmdet/models/backbones/pvt.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import warnings
from collections import OrderedDict
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
from mmcv.cnn.bricks.drop import build_dropout
from... | 26,272 | 38.448949 | 89 | py |
ERD | ERD-main/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 mmengine.model import BaseModule, ModuleList, Sequential
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.registry import MODELS
from .resnet import BasicBlock... | 23,108 | 38.167797 | 79 | py |
ERD | ERD-main/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 mmdet.registry import MODELS
from .resnet import ResNet
from .resnext import Bottleneck
@MODELS.register_module()
class RegNet(ResNet):
"""RegNet ... | 13,604 | 37.109244 | 79 | py |
ERD | ERD-main/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 mmengine.model import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.registry import MODELS
from ..layers import InvertedResidual
from ..utils import make_divisible
@MO... | 7,621 | 37.301508 | 78 | py |
ERD | ERD-main/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
from mmcv.cnn.bricks.transformer import FFN, build_d... | 31,958 | 37.97439 | 79 | py |
ERD | ERD-main/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 mmengine.model import BaseModule
from torch.nn.modules.utils import _pair
from mmdet.models.backbones.resne... | 11,120 | 36.19398 | 79 | py |
ERD | ERD-main/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 mmdet.registry import MODELS
from .detectors_resnet import Bottleneck as _Bottleneck
from .detectors_resnet import DetectoRS_ResNet
class Bottleneck(_Bottleneck):
expansion = 4
def __ini... | 3,919 | 30.612903 | 77 | py |
ERD | ERD-main/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 mmengine.model import BaseModule, Sequential
from mmdet.registry import MODELS
from ..layer... | 16,240 | 37.761337 | 79 | py |
ERD | ERD-main/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 mmengine.model import BaseModule
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.registry import MODEL... | 23,840 | 34.424963 | 79 | py |
ERD | ERD-main/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
from mmengine.logging import MMLogger
from mmengine.model import Sequential, constant_init, kaiming_init
from mmengine.runner.checkpoint import load_checkpoin... | 12,764 | 35.059322 | 79 | py |
ERD | ERD-main/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 mmengine.model import BaseModule
from mmdet.registry import MODELS
from ..necks import ssd_neck
@MODELS.register_module()
class SSDVGG(VGG, BaseModule):
"""VGG Backbone network for single-shot-det... | 4,707 | 35.496124 | 79 | py |
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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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 |
fl-analysis | fl-analysis-master/src/util.py | import collections
from copy import deepcopy
import numpy as np
import pandas as pd
from os.path import join
from tensorflow.python.keras.layers.convolutional import Conv2D
from tensorflow.python.keras.layers.core import Dense
def log_data(experiment_dir, rounds, accuracy, adv_success):
"""Logs data."""
df ... | 6,070 | 38.679739 | 136 | py |
fl-analysis | fl-analysis-master/src/test_tf_model.py | from unittest import TestCase
from src.tf_model import Model
from src.tf_data import Dataset
from matplotlib import pyplot
import tensorflow as tf
import numpy as np
class TestModel(TestCase):
def test_create_model_weight(self):
model = Model.create_model("dev")
(x_train, y_train), (x_test, y_te... | 3,013 | 36.209877 | 137 | py |
fl-analysis | fl-analysis-master/src/config_old.py | import sys
import configargparse
import logging
from src.client_attacks import Attack
parser = configargparse.ArgumentParser()
parser.add('-c', '--config_filepath', required=False, is_config_file=True, help='Path to config file.')
# logging configuration
parser.add_argument(
'-d', '--debug',
help="Print deb... | 24,879 | 63.455959 | 313 | py |
fl-analysis | fl-analysis-master/src/hyperparameter_tuning.py | import os
from tensorboard.plugins.hparams import api as hp
import tensorflow as tf
import numpy as np
from src.federated_averaging import FederatedAveraging
from src.tf_model import Model
def load_model(args, config):
if args.load_model is not None:
model = tf.keras.models.load_model(args.load_model) # ... | 6,049 | 52.539823 | 159 | py |
fl-analysis | fl-analysis-master/src/attack/anticipate_tf_attack.py | from src.attack.attack import LossBasedAttack
import logging
import numpy as np
import tensorflow as tf
from copy import copy
logger = logging.getLogger(__name__)
# Move this into generate later
# from src.torch_compat.anticipate import train_anticipate
class AnticipateTfAttack(LossBasedAttack):
def generate(... | 7,110 | 40.104046 | 150 | py |
fl-analysis | fl-analysis-master/src/attack/test/AttackTest.py | import tensorflow as tf
import numpy as np
from src.data.tf_data_global import IIDGlobalDataset
from src.attack.evasion.norm import NormBoundPGDEvasion
from src.attack.evasion.trimmed_mean import TrimmedMeanEvasion
from src.attack.attack import AttackDatasetBridge
from src.attack.untargeted_attack import UntargetedAtt... | 6,328 | 45.19708 | 138 | py |
fl-analysis | fl-analysis-master/src/subspace/builder/resnet.py |
import numpy as np
import tensorflow as tf
from tensorflow.keras import Model
from tensorflow.keras.layers import (Flatten, Input, Activation,
Reshape, Dropout, Convolution2D,
MaxPooling2D, BatchNormalization,
Conv2D, GlobalAveragePooling2D... | 27,766 | 57.21174 | 116 | py |
fl-analysis | fl-analysis-master/src/subspace/builder/model_builders.py |
import numpy as np
import tensorflow as tf
from tensorflow.keras import Model
from tensorflow.keras.layers import (Dense, Flatten, Input, Activation,
Reshape, Dropout, Convolution2D,
MaxPooling2D, BatchNormalization,
Conv2D, GlobalAveragePo... | 18,121 | 44.762626 | 202 | py |
fl-analysis | fl-analysis-master/src/subspace/builder/test_model_builders.py | from unittest import TestCase
import tensorflow as tf
import numpy as np
from tf_data import Dataset
from tf_model import Model
from .model_builders import build_model_mnist_fc, build_cnn_model_mnist_bhagoji, build_test, build_cnn_model_mnist_dev_conv
from ..keras_ext.rproj_layers_util import ThetaPrime
import resour... | 7,121 | 33.572816 | 123 | py |
fl-analysis | fl-analysis-master/src/subspace/keras_ext/test_layers.py | #! /usr/bin/env python
# Copyright (c) 2018 Uber Technologies, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, ... | 6,558 | 34.074866 | 89 | py |
fl-analysis | fl-analysis-master/src/subspace/keras_ext/rproj_layers_util.py | #! /usr/bin/env python
# Copyright (c) 2018 Uber Technologies, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, ... | 28,439 | 36.970628 | 136 | py |
fl-analysis | fl-analysis-master/src/subspace/keras_ext/engine_training.py | # Copyright (c) 2018 Uber Technologies, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, pub... | 12,035 | 39.12 | 192 | py |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.