repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
mmdetection | mmdet/models/detectors/grounding_dino.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import re
import warnings
from typing import Dict, Optional, Tuple, Union
import torch
import torch.nn as nn
from mmengine.runner.amp import autocast
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import OptSampleList, Sampl... | 622 | 27,039 |
mmdetection | mmdet/models/detectors/yolact.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage_instance_seg import SingleStageInstanceSegmentor
@MODELS.register_module()
class YOLACT(SingleStageInstanceSegmentor):
"""Implementation of `YOLACT... | 29 | 1,045 |
mmdetection | mmdet/models/detectors/tood.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
class TOOD(SingleStageDetector):
r"""Implementation of `TOOD: Task-aligned One-stage Object De... | 43 | 1,726 |
mmdetection | mmdet/models/detectors/ddod.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
class DDOD(SingleStageDetector):
"""Implementation of `DDOD <https://arxiv.org/pdf/2107.02963.... | 42 | 1,684 |
mmdetection | mmdet/models/detectors/mask2former.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .maskformer import MaskFormer
@MODELS.register_module()
class Mask2Former(MaskFormer):
r"""Implementation of `Masked-attention Mask
Transformer for Universal... | 31 | 1,136 |
mmdetection | mmdet/models/detectors/vfnet.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
class VFNet(SingleStageDetector):
"""Implementation of `VarifocalNet
(VFNet).<https://arxi... | 43 | 1,702 |
mmdetection | mmdet/models/detectors/reppoints_detector.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
class RepPointsDetector(SingleStageDetector):
"""RepPoints: Point Set Representation for Objec... | 31 | 1,057 |
mmdetection | mmdet/models/detectors/mask_rcnn.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import ConfigDict
from mmdet.registry import MODELS
from mmdet.utils import OptConfigType, OptMultiConfig
from .two_stage import TwoStageDetector
@MODELS.register_module()
class MaskRCNN(TwoStageDetector):
"""Implementation of `Mask R-CNN <http... | 31 | 1,023 |
mmdetection | mmdet/models/detectors/paa.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
class PAA(SingleStageDetector):
"""Implementation of `PAA <https://arxiv.org/pdf/2007.08103.pd... | 42 | 1,679 |
mmdetection | mmdet/models/detectors/conditional_detr.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict
import torch.nn as nn
from torch import Tensor
from mmdet.registry import MODELS
from ..layers import (ConditionalDetrTransformerDecoder,
DetrTransformerEncoder, SinePositionalEncoding)
from .detr import DETR
@MODELS.regis... | 75 | 3,029 |
mmdetection | mmdet/models/detectors/deformable_detr.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from typing import Dict, Tuple
import torch
import torch.nn.functional as F
from mmcv.cnn.bricks.transformer import MultiScaleDeformableAttention
from mmengine.model import xavier_init
from torch import Tensor, nn
from torch.nn.init import normal_
from mmdet... | 573 | 27,107 |
mmdetection | mmdet/models/detectors/rpn.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
import torch
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register... | 82 | 3,380 |
mmdetection | mmdet/models/detectors/yolof.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
class YOLOF(SingleStageDetector):
r"""Implementation of `You Only Look One-level Feature
<... | 44 | 1,809 |
mmdetection | mmdet/models/detectors/single_stage.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple, Union
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import OptSampleList, SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .base import BaseDetector
@MODELS.register_mo... | 150 | 6,124 |
mmdetection | mmdet/models/detectors/queryinst.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .sparse_rcnn import SparseRCNN
@MODELS.register_module()
class QueryInst(SparseRCNN):
r"""Implementation of
`Instances as Queries <http://arxiv.org/abs/2105.... | 30 | 1,000 |
mmdetection | mmdet/models/detectors/solov2.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage_instance_seg import SingleStageInstanceSegmentor
@MODELS.register_module()
class SOLOv2(SingleStageInstanceSegmentor):
"""`SOLOv2: Dynamic and Fast... | 32 | 1,099 |
mmdetection | mmdet/models/detectors/two_stage.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from typing import List, Tuple, Union
import torch
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .base import BaseDete... | 244 | 9,942 |
mmdetection | mmdet/models/detectors/scnet.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from .cascade_rcnn import CascadeRCNN
@MODELS.register_module()
class SCNet(CascadeRCNN):
"""Implementation of `SCNet <https://arxiv.org/abs/2012.10150>`_"""
def __init__(self, **kwargs) -> None:
super().__init__(**kwar... | 12 | 324 |
mmdetection | mmdet/models/detectors/fcos.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
class FCOS(SingleStageDetector):
"""Implementation of `FCOS <https://arxiv.org/abs/1904.01355>... | 43 | 1,718 |
mmdetection | mmdet/models/detectors/single_stage_instance_seg.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import Tuple
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import OptSampleList, SampleList
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .base import BaseDetector
INF = 1e8
@MODELS.r... | 181 | 6,915 |
mmdetection | mmdet/models/detectors/fsaf.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
class FSAF(SingleStageDetector):
"""Implementation of `FSAF <https://arxiv.org/abs/1903.00621>... | 27 | 929 |
mmdetection | mmdet/models/detectors/grid_rcnn.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .two_stage import TwoStageDetector
@MODELS.register_module()
class GridRCNN(TwoStageDetector):
"""Grid R-CNN.
This detector is the implementation of:
- ... | 34 | 1,118 |
mmdetection | mmdet/models/detectors/semi_base.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from typing import Dict, List, Optional, Tuple, Union
import torch
import torch.nn as nn
from torch import Tensor
from mmdet.models.utils import (filter_gt_instances, rename_loss_dict,
reweight_loss_dict)
from mmdet.registry i... | 267 | 11,647 |
mmdetection | mmdet/models/detectors/faster_rcnn.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .two_stage import TwoStageDetector
@MODELS.register_module()
class FasterRCNN(TwoStageDetector):
"""Implementation of `Faster R-CNN <https://arxiv.org/abs/1506.0... | 29 | 999 |
mmdetection | mmdet/models/detectors/d2_wrapper.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import MODELS
from mmdet.structures import SampleList
from mmdet.structures.bbox import BaseBoxes
from mmdet.structu... | 292 | 11,772 |
mmdetection | mmdet/models/detectors/autoassign.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
class AutoAssign(SingleStageDetector):
"""Implementation of `AutoAssign: Differentiable Label ... | 44 | 1,798 |
mmdetection | mmdet/models/detectors/base.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from typing import Dict, List, Tuple, Union
import torch
from mmengine.model import BaseModel
from torch import Tensor
from mmdet.structures import DetDataSample, OptSampleList, SampleList
from mmdet.utils import InstanceList, Opt... | 157 | 6,255 |
mmdetection | mmdet/models/detectors/boxinst.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage_instance_seg import SingleStageInstanceSegmentor
@MODELS.register_module()
class BoxInst(SingleStageInstanceSegmentor):
"""Implementation of `BoxIn... | 29 | 1,047 |
mmdetection | mmdet/models/detectors/point_rend.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmengine.config import ConfigDict
from mmdet.registry import MODELS
from mmdet.utils import OptConfigType, OptMultiConfig
from .two_stage import TwoStageDetector
@MODELS.register_module()
class PointRend(TwoStageDetector):
"""PointRend: Image Segmentation as R... | 36 | 1,103 |
mmdetection | mmdet/models/detectors/atss.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
class ATSS(SingleStageDetector):
"""Implementation of `ATSS <https://arxiv.org/abs/1912.02424>... | 42 | 1,679 |
mmdetection | mmdet/models/detectors/cornernet.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage import SingleStageDetector
@MODELS.register_module()
class CornerNet(SingleStageDetector):
"""CornerNet.
This detector is the implementation o... | 31 | 1,044 |
mmdetection | mmdet/models/detectors/sparse_rcnn.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .two_stage import TwoStageDetector
@MODELS.register_module()
class SparseRCNN(TwoStageDetector):
r"""Implementation of `Sparse R-CNN: End-to-End Object Detection... | 32 | 1,208 |
mmdetection | mmdet/models/detectors/condinst.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
from .single_stage_instance_seg import SingleStageInstanceSegmentor
@MODELS.register_module()
class CondInst(SingleStageInstanceSegmentor):
"""Implementation of `Cond... | 29 | 1,049 |
mmdetection | mmdet/models/detectors/ddq_detr.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Tuple
# Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.ops import MultiScaleDeformableAttention, batched_nms
from torch import Tensor, nn
from torch.nn.init import normal_
from mmdet.registry import MODELS
from mmdet.struct... | 275 | 11,785 |
mmdetection | mmdet/models/vis/masktrack_rcnn.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
from torch import Tensor
from mmdet.models.mot import BaseMOTModel
from mmdet.registry import MODELS
from mmdet.structures import TrackSampleList
from mmdet.utils import OptConfigType, OptMultiConfig
@MODELS.register_module()
c... | 182 | 7,566 |
mmdetection | mmdet/models/vis/mask2former_vis.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Union
from torch import Tensor
from mmdet.models.mot import BaseMOTModel
from mmdet.registry import MODELS
from mmdet.structures import TrackDataSample, TrackSampleList
from mmdet.utils import OptConfigType, OptMultiConfig
@MODELS.register... | 121 | 4,841 |
mmdetection | mmdet/models/losses/l2_loss.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, Union
import numpy as np
import torch
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weighted_loss
@weighted_loss
def l2_loss(pred: Tensor, target: Tensor) -> Tens... | 140 | 5,057 |
mmdetection | mmdet/models/losses/mse_loss.py | .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... | 70 | 2,267 |
mmdetection | mmdet/models/losses/seesaw_loss.py | .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 ... | 279 | 10,723 |
mmdetection | mmdet/models/losses/ghm_loss.py | .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... | 214 | 7,928 |
mmdetection | mmdet/models/losses/utils.py | .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... | 126 | 4,256 |
mmdetection | mmdet/models/losses/cross_entropy_loss.py | .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 .accuracy import accuracy
from .utils import weight_reduce_loss
def cross_entropy(pred,
label,
weight=None,
... | 402 | 15,934 |
mmdetection | mmdet/models/losses/balanced_l1_loss.py | .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,
... | 123 | 4,205 |
mmdetection | mmdet/models/losses/kd_loss.py | .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,
... | 96 | 3,123 |
mmdetection | mmdet/models/losses/triplet_loss.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmengine.model import BaseModule
from mmdet.registry import MODELS
@MODELS.register_module()
class TripletLoss(BaseModule):
"""Triplet loss with hard positive/negative mining.
Reference:
Hermans et al. In Defense... | 89 | 3,180 |
mmdetection | mmdet/models/losses/ae_loss.py | .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... | 102 | 3,810 |
mmdetection | mmdet/models/losses/margin_loss.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, Union
import numpy as np
import torch
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from .mse_loss import mse_loss
@MODELS.register_module()
class MarginL2Loss(BaseModule):
"""L... | 153 | 5,877 |
mmdetection | mmdet/models/losses/gfocal_loss.py | .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 ... | 296 | 11,838 |
mmdetection | mmdet/models/losses/varifocal_loss.py | .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... | 142 | 5,749 |
mmdetection | mmdet/models/losses/eqlv2_loss.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import logging
from functools import partial
from typing import Optional
import torch
import torch.distributed as dist
import torch.nn as nn
import torch.nn.functional as F
from mmengine.logging import print_log
from torch import Tensor
from mmdet.registry import MODELS... | 174 | 6,538 |
mmdetection | mmdet/models/losses/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .accuracy import Accuracy, accuracy
from .ae_loss import AssociativeEmbeddingLoss
from .balanced_l1_loss import BalancedL1Loss, balanced_l1_loss
from .cross_entropy_loss import (CrossEntropyCustomLoss, CrossEntropyLoss,
binary_cross_e... | 43 | 2,238 |
mmdetection | mmdet/models/losses/multipos_cross_entropy_loss.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
from mmengine.model import BaseModule
from torch import Tensor
from mmdet.registry import MODELS
from .utils import weight_reduce_loss
@MODELS.register_module()
class MultiPosCrossEntropyLoss(BaseModule):
"""multi-positive ... | 101 | 3,681 |
mmdetection | mmdet/models/losses/smooth_l1_loss.py | .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... | 166 | 5,359 |
mmdetection | mmdet/models/losses/iou_loss.py | .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... | 927 | 32,252 |
mmdetection | mmdet/models/losses/pisa_loss.py | .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:... | 188 | 7,670 |
mmdetection | mmdet/models/losses/gaussian_focal_loss.py | .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... | 187 | 7,689 |
mmdetection | mmdet/models/losses/accuracy.py | .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 ... | 78 | 2,953 |
mmdetection | mmdet/models/losses/ddq_detr_aux_loss.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmengine.structures import BaseDataElement
from mmdet.models.utils import multi_apply
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.utils import reduce_mean
class DDQAuxLoss(nn.Module):
"""DDQ auxiliary branches lo... | 304 | 12,757 |
mmdetection | mmdet/models/losses/focal_loss.py | .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 .accuracy import accuracy
from .utils import weight_reduce_loss
# This method is only for debugging
... | 372 | 15,215 |
mmdetection | mmdet/models/losses/dice_loss.py | .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,
... | 147 | 5,329 |
mmdetection | mmdet/models/language_models/bert.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from collections import OrderedDict
from typing import Sequence
import torch
from mmengine.model import BaseModel
from torch import nn
try:
from transformers import AutoTokenizer, BertConfig
from transformers import BertModel as HFBertModel
except ImportError:
... | 232 | 9,067 |
mmdetection | mmdet/models/language_models/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .bert import BertModel
__all__ = ['BertModel']
| 5 | 101 |
mmdetection | mmdet/models/utils/vlfuse_helper.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
# Modified from https://github.com/microsoft/GLIP/blob/main/maskrcnn_benchmark/utils/fuse_helper.py # noqa
# and https://github.com/microsoft/GLIP/blob/main/maskrcnn_benchmark/modeling/rpn/modeling_bert.py # noqa
import math
from typing import Dict, Optional, Tuple
imp... | 774 | 31,620 |
mmdetection | mmdet/models/utils/gaussian_target.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from math import sqrt
import torch
import torch.nn.functional as F
def gaussian2D(radius, sigma=1, dtype=torch.float32, device='cpu'):
"""Generate 2D gaussian kernel.
Args:
radius (int): Radius of gaussian kernel.
sigma (int): Sigma of gaussian... | 269 | 8,393 |
mmdetection | mmdet/models/utils/misc.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from functools import partial
from typing import List, Optional, Sequence, Tuple, Union
import numpy as np
import torch
from mmengine.structures import InstanceData
from mmengine.utils import digit_version
from six.moves import map, zip
from torch import Tensor
from torc... | 698 | 25,530 |
mmdetection | mmdet/models/utils/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .gaussian_target import (gather_feat, gaussian_radius,
gen_gaussian_target, get_local_maximum,
get_topk_from_heatmap, transpose_and_gather_feat)
from .image import imrenormalize
from .make_divisible import m... | 38 | 2,105 |
mmdetection | mmdet/models/utils/panoptic_gt_processing.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import torch
from torch import Tensor
def preprocess_panoptic_gt(gt_labels: Tensor, gt_masks: Tensor,
gt_semantic_seg: Tensor, num_things: int,
num_stuff: int) -> Tuple[Tensor, Tensor]:
... | 71 | 2,575 |
mmdetection | mmdet/models/utils/image.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
import mmcv
import numpy as np
import torch
from torch import Tensor
def imrenormalize(img: Union[Tensor, np.ndarray], img_norm_cfg: dict,
new_img_norm_cfg: dict) -> Union[Tensor, np.ndarray]:
"""Re-normalize the image.
... | 53 | 2,060 |
mmdetection | mmdet/models/utils/wbf.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import Tuple
import numpy as np
import torch
from torch import Tensor
# References: https://github.com/ZFTurbo/Weighted-Boxes-Fusion
def weighted_boxes_fusion(
bboxes_list: list,
scores_list: list,
labels_list: list,... | 251 | 9,116 |
mmdetection | mmdet/models/utils/make_divisible.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
def make_divisible(value, divisor, min_value=None, min_ratio=0.9):
"""Make divisible function.
This function rounds the channel number to the nearest value that can be
divisible by the divisor. It is taken from the original tf repo. It ensures
that all la... | 29 | 1,279 |
mmdetection | mmdet/models/utils/point_sample.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.ops import point_sample
from torch import Tensor
def get_uncertainty(mask_preds: Tensor, labels: Tensor) -> Tensor:
"""Estimate uncertainty based on pred logits.
We estimate uncertainty as L1 distance between 0.0 and the logits
predic... | 89 | 3,910 |
mmdetection | mmdet/models/task_modules/builder.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmdet.registry import TASK_UTILS
PRIOR_GENERATORS = TASK_UTILS
ANCHOR_GENERATORS = TASK_UTILS
BBOX_ASSIGNERS = TASK_UTILS
BBOX_SAMPLERS = TASK_UTILS
BBOX_CODERS = TASK_UTILS
MATCH_COSTS = TASK_UTILS
IOU_CALCULATORS = TASK_UTILS
def build_bbox_code... | 63 | 2,208 |
mmdetection | mmdet/models/task_modules/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .assigners import * # noqa: F401,F403
from .builder import (ANCHOR_GENERATORS, BBOX_ASSIGNERS, BBOX_CODERS,
BBOX_SAMPLERS, IOU_CALCULATORS, MATCH_COSTS,
PRIOR_GENERATORS, build_anchor_generator, build_assigner,
... | 19 | 932 |
mmdetection | mmdet/models/task_modules/coders/distance_point_bbox_coder.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence, Union
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import (BaseBoxes, HorizontalBoxes, bbox2distance,
distance2bbox, get_box_tensor)
from .base_bbox_co... | 86 | 3,205 |
mmdetection | mmdet/models/task_modules/coders/legacy_delta_xywh_bbox_coder.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence, Union
import numpy as np
import torch
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import BaseBoxes, HorizontalBoxes, get_box_tensor
from .base_bbox_coder import BaseBBoxCoder
@TASK_UT... | 236 | 9,370 |
mmdetection | mmdet/models/task_modules/coders/delta_xywh_bbox_coder.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import Optional, Sequence, Union
import numpy as np
import torch
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import BaseBoxes, HorizontalBoxes, get_box_tensor
from .base_bbox_coder import BaseBBox... | 580 | 24,447 |
mmdetection | mmdet/models/task_modules/coders/yolo_bbox_coder.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
import torch
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import BaseBoxes, HorizontalBoxes, get_box_tensor
from .base_bbox_coder import BaseBBoxCoder
@TASK_UTILS.register_module()
class YOLOBBoxCod... | 95 | 3,864 |
mmdetection | mmdet/models/task_modules/coders/pseudo_bbox_coder.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Union
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import BaseBoxes, HorizontalBoxes, get_box_tensor
from .base_bbox_coder import BaseBBoxCoder
@TASK_UTILS.register_module()
class PseudoBBoxCoder(BaseBBox... | 30 | 1,019 |
mmdetection | mmdet/models/task_modules/coders/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_bbox_coder import BaseBBoxCoder
from .bucketing_bbox_coder import BucketingBBoxCoder
from .delta_xywh_bbox_coder import (DeltaXYWHBBoxCoder,
DeltaXYWHBBoxCoderForGLIP)
from .distance_point_bbox_coder import DistancePointBBoxC... | 17 | 748 |
mmdetection | mmdet/models/task_modules/coders/base_bbox_coder.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
class BaseBBoxCoder(metaclass=ABCMeta):
"""Base bounding box coder.
Args:
use_box_type (bool): Whether to warp decoded boxes with the
box type data structure. Defaults to False.
"""
# The size... | 27 | 776 |
mmdetection | mmdet/models/task_modules/coders/tblr_bbox_coder.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence, Union
import torch
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import BaseBoxes, HorizontalBoxes, get_box_tensor
from .base_bbox_coder import BaseBBoxCoder
@TASK_UTILS.register_module... | 229 | 9,724 |
mmdetection | mmdet/models/task_modules/coders/bucketing_bbox_coder.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence, Tuple, Union
import numpy as np
import torch
import torch.nn.functional as F
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import (BaseBoxes, HorizontalBoxes, bbox_rescale,
... | 367 | 15,197 |
mmdetection | mmdet/models/task_modules/prior_generators/utils.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple
import torch
from torch import Tensor
from mmdet.structures.bbox import BaseBoxes
def anchor_inside_flags(flat_anchors: Tensor,
valid_flags: Tensor,
img_shape: Tuple[int],
... | 71 | 2,671 |
mmdetection | mmdet/models/task_modules/prior_generators/anchor_generator.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from mmengine.utils import is_tuple_of
from torch import Tensor
from torch.nn.modules.utils import _pair
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox impo... | 849 | 37,295 |
mmdetection | mmdet/models/task_modules/prior_generators/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .anchor_generator import (AnchorGenerator, LegacyAnchorGenerator,
SSDAnchorGenerator, YOLOAnchorGenerator)
from .point_generator import MlvlPointGenerator, PointGenerator
from .utils import anchor_inside_flags, calc_region
__all__ = [
... | 12 | 500 |
mmdetection | mmdet/models/task_modules/prior_generators/point_generator.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple, Union
import numpy as np
import torch
from torch import Tensor
from torch.nn.modules.utils import _pair
from mmdet.registry import TASK_UTILS
DeviceType = Union[str, torch.device]
@TASK_UTILS.register_module()
class PointGenerator:
... | 322 | 13,026 |
mmdetection | mmdet/models/task_modules/tracking/kalman_filter.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Tuple
import numpy as np
import torch
try:
import scipy.linalg
HAS_SCIPY = True
except ImportError:
HAS_SCIPY = False
from mmdet.registry import TASK_UTILS
@TASK_UTILS.register_module()
class KalmanFilter:
"""A simple Kalman filter ... | 268 | 10,116 |
mmdetection | mmdet/models/task_modules/tracking/camera_motion_compensation.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
import torch
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import bbox_cxcyah_to_xyxy, bbox_xyxy_to_cxcyah
@TASK_UTILS.register_module()
class CameraMotionCompensation:
"""Camera motion compe... | 105 | 4,216 |
mmdetection | mmdet/models/task_modules/tracking/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .aflink import AppearanceFreeLink
from .camera_motion_compensation import CameraMotionCompensation
from .interpolation import InterpolateTracklets
from .kalman_filter import KalmanFilter
from .similarity import embed_similarity
__all__ = [
'KalmanFilter', 'Inter... | 12 | 413 |
mmdetection | mmdet/models/task_modules/tracking/interpolation.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
try:
from sklearn.gaussian_process import GaussianProcessRegressor as GPR
from sklearn.gaussian_process.kernels import RBF
HAS_SKIKIT_LEARN = True
except ImportError:
HAS_SKIKIT_LEARN = False
from mmdet.registry import TASK_UTILS
@TA... | 169 | 6,638 |
mmdetection | mmdet/models/task_modules/tracking/similarity.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn.functional as F
from torch import Tensor
def embed_similarity(key_embeds: Tensor,
ref_embeds: Tensor,
method: str = 'dot_product',
temperature: int = -1) -> Tensor:
"""Calcul... | 35 | 1,097 |
mmdetection | mmdet/models/task_modules/tracking/aflink.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from collections import defaultdict
from typing import Tuple
import numpy as np
import torch
from mmengine.model import BaseModule
from mmengine.runner.checkpoint import load_checkpoint
from scipy.optimize import linear_sum_assignment
from torch import Tensor, nn
from m... | 282 | 10,185 |
mmdetection | mmdet/models/task_modules/assigners/atss_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from typing import List, Optional
import torch
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.utils import ConfigType
from .assign_result import AssignResult
from .base_assigner impo... | 255 | 11,003 |
mmdetection | mmdet/models/task_modules/assigners/match_cost.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import abstractmethod
from typing import Optional, Union
import torch
import torch.nn.functional as F
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import bbox_overlaps, bb... | 526 | 19,228 |
mmdetection | mmdet/models/task_modules/assigners/grid_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, Union
import torch
from mmengine.structures import InstanceData
from mmdet.registry import TASK_UTILS
from mmdet.utils import ConfigType
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@TASK_UTILS.reg... | 178 | 7,815 |
mmdetection | mmdet/models/task_modules/assigners/hungarian_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Union
import torch
from mmengine import ConfigDict
from mmengine.structures import InstanceData
from scipy.optimize import linear_sum_assignment
from torch import Tensor
from mmdet.registry import TASK_UTILS
from .assign_result import ... | 146 | 6,075 |
mmdetection | mmdet/models/task_modules/assigners/topk_hungarian_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmengine.structures import BaseDataElement
from scipy.optimize import linear_sum_assignment
from mmdet.registry import TASK_UTILS
from .assign_result import AssignResult
from .task_aligned_assigner import TaskAlignedAssigner
@TASK_UTILS.register_modul... | 183 | 8,192 |
mmdetection | mmdet/models/task_modules/assigners/center_region_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple
import torch
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.utils import ConfigType
from .assign_result import AssignResult
from .base_assigner import BaseAssigner... | 367 | 16,747 |
mmdetection | mmdet/models/task_modules/assigners/__init__.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from .approx_max_iou_assigner import ApproxMaxIoUAssigner
from .assign_result import AssignResult
from .atss_assigner import ATSSAssigner
from .base_assigner import BaseAssigner
from .center_region_assigner import CenterRegionAssigner
from .dynamic_soft_label_assigner imp... | 33 | 1,618 |
mmdetection | mmdet/models/task_modules/assigners/dynamic_soft_label_assigner.py | .py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple
import torch
import torch.nn.functional as F
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import BaseBoxes
from mmdet.utils import ConfigType
fro... | 228 | 9,847 |
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