Search is not available for this dataset
repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
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mmdetection | mmdetection-master/mmdet/core/bbox/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .assigners import (AssignResult, BaseAssigner, CenterRegionAssigner,
MaxIoUAssigner, RegionAssigner)
from .builder import build_assigner, build_bbox_coder, build_sampler
from .coder import (BaseBBoxCoder, DeltaXYWHBBoxCoder, DistancePointBBoxC... | 1,688 | 57.241379 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.utils import Registry, build_from_cfg
BBOX_ASSIGNERS = Registry('bbox_assigner')
BBOX_SAMPLERS = Registry('bbox_sampler')
BBOX_CODERS = Registry('bbox_coder')
def build_assigner(cfg, **default_args):
"""Builder of box assigner."""
return build_from_cf... | 628 | 27.590909 | 60 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/demodata.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmdet.utils.util_random import ensure_rng
def random_boxes(num=1, scale=1, rng=None):
"""Simple version of ``kwimage.Boxes.random``
Returns:
Tensor: shape (n, 4) in x1, y1, x2, y2 format.
References:
ht... | 1,181 | 26.488372 | 101 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
def find_inside_bboxes(bboxes, img_h, img_w):
"""Find bboxes as long as a part of bboxes is inside the image.
Args:
bboxes (Tensor): Shape (N, 4).
img_h (int): Image height.
img_w (int): Image width.
... | 8,962 | 32.073801 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .approx_max_iou_assigner import ApproxMaxIoUAssigner
from .ascend_assign_result import AscendAssignResult
from .ascend_max_iou_assigner import AscendMaxIoUAssigner
from .assign_result import AssignResult
from .atss_assigner import ATSSAssigner
from .base_assigner imp... | 1,171 | 44.076923 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/approx_max_iou_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import BBOX_ASSIGNERS
from ..iou_calculators import build_iou_calculator
from .max_iou_assigner import MaxIoUAssigner
@BBOX_ASSIGNERS.register_module()
class ApproxMaxIoUAssigner(MaxIoUAssigner):
"""Assign a corresponding gt bbox or back... | 6,697 | 44.564626 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/ascend_assign_result.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.utils import util_mixins
class AscendAssignResult(util_mixins.NiceRepr):
"""Stores ascend assignments between predicted and truth boxes.
Arguments:
batch_num_gts (list[int]): the number of truth boxes considered.
batch_pos_mask (IntTe... | 1,403 | 39.114286 | 72 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/ascend_max_iou_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ....utils import masked_fill
from ..builder import BBOX_ASSIGNERS
from ..iou_calculators import build_iou_calculator
from .ascend_assign_result import AscendAssignResult
from .base_assigner import BaseAssigner
@BBOX_ASSIGNERS.register_module()
class A... | 8,841 | 48.396648 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/assign_result.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.utils import util_mixins
class AssignResult(util_mixins.NiceRepr):
"""Stores assignments between predicted and truth boxes.
Attributes:
num_gts (int): the number of truth boxes considered when computing this
assignme... | 7,761 | 36.497585 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/atss_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
from ..builder import BBOX_ASSIGNERS
from ..iou_calculators import build_iou_calculator
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@BBOX_ASSIGNERS.register_module()
class ATSSAssigner(BaseAssigner):
... | 10,174 | 42.297872 | 87 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/base_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
class BaseAssigner(metaclass=ABCMeta):
"""Base assigner that assigns boxes to ground truth boxes."""
@abstractmethod
def assign(self, bboxes, gt_bboxes, gt_bboxes_ignore=None, gt_labels=None):
"""Assign boxes ... | 375 | 33.181818 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/center_region_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import BBOX_ASSIGNERS
from ..iou_calculators import build_iou_calculator
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
def scale_boxes(bboxes, scale):
"""Expand an array of boxes by a given scale.
A... | 15,477 | 44.928783 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/grid_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import BBOX_ASSIGNERS
from ..iou_calculators import build_iou_calculator
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@BBOX_ASSIGNERS.register_module()
class GridAssigner(BaseAssigner):
"""Assign a corr... | 6,863 | 42.719745 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/hungarian_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from scipy.optimize import linear_sum_assignment
from ..builder import BBOX_ASSIGNERS
from ..match_costs import build_match_cost
from ..transforms import bbox_cxcywh_to_xyxy
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@B... | 6,439 | 45 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/mask_hungarian_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from scipy.optimize import linear_sum_assignment
from mmdet.core.bbox.builder import BBOX_ASSIGNERS
from mmdet.core.bbox.match_costs.builder import build_match_cost
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@BBOX_ASSIG... | 5,312 | 41.166667 | 77 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/max_iou_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import BBOX_ASSIGNERS
from ..iou_calculators import build_iou_calculator
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@BBOX_ASSIGNERS.register_module()
class MaxIoUAssigner(BaseAssigner):
"""Assign a co... | 10,168 | 45.43379 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/point_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import BBOX_ASSIGNERS
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@BBOX_ASSIGNERS.register_module()
class PointAssigner(BaseAssigner):
"""Assign a corresponding gt bbox or background to each point.
... | 5,995 | 43.414815 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/region_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.core import anchor_inside_flags
from ..builder import BBOX_ASSIGNERS
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
def calc_region(bbox, ratio, stride, featmap_size=None):
"""Calculate region of the box defi... | 9,473 | 41.484305 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/sim_ota_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
import torch.nn.functional as F
from ..builder import BBOX_ASSIGNERS
from ..iou_calculators import bbox_overlaps
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@BBOX_ASSIGNERS.register_module()
class SimOTA... | 11,495 | 43.55814 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/task_aligned_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import BBOX_ASSIGNERS
from ..iou_calculators import build_iou_calculator
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
INF = 100000000
@BBOX_ASSIGNERS.register_module()
class TaskAlignedAssigner(BaseAssigne... | 6,554 | 42.125 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/assigners/uniform_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import BBOX_ASSIGNERS
from ..iou_calculators import build_iou_calculator
from ..transforms import bbox_xyxy_to_cxcywh
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
@BBOX_ASSIGNERS.register_module()
class Uni... | 5,556 | 39.860294 | 77 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/coder/__init__.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
from .distance_point_bbox_coder import DistancePointBBoxCoder
from .legacy_delta_xywh_bbox_coder import LegacyDeltaXYWHBBo... | 654 | 39.9375 | 66 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/coder/base_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
class BaseBBoxCoder(metaclass=ABCMeta):
"""Base bounding box coder."""
def __init__(self, **kwargs):
pass
@abstractmethod
def encode(self, bboxes, gt_bboxes):
"""Encode deltas between bboxes and g... | 496 | 25.157895 | 71 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/coder/bucketing_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
import torch
import torch.nn.functional as F
from ..builder import BBOX_CODERS
from ..transforms import bbox_rescale
from .base_bbox_coder import BaseBBoxCoder
@BBOX_CODERS.register_module()
class BucketingBBoxCoder(BaseBBoxCoder):
""... | 14,119 | 39.113636 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/coder/delta_xywh_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import mmcv
import numpy as np
import torch
from ..builder import BBOX_CODERS
from .base_bbox_coder import BaseBBoxCoder
@BBOX_CODERS.register_module()
class DeltaXYWHBBoxCoder(BaseBBoxCoder):
"""Delta XYWH BBox coder.
Following the practice i... | 15,978 | 39.659033 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/coder/distance_point_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import BBOX_CODERS
from ..transforms import bbox2distance, distance2bbox
from .base_bbox_coder import BaseBBoxCoder
@BBOX_CODERS.register_module()
class DistancePointBBoxCoder(BaseBBoxCoder):
"""Distance Point BBox coder.
This coder encodes gt bb... | 2,481 | 37.78125 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/coder/legacy_delta_xywh_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
import torch
from ..builder import BBOX_CODERS
from .base_bbox_coder import BaseBBoxCoder
@BBOX_CODERS.register_module()
class LegacyDeltaXYWHBBoxCoder(BaseBBoxCoder):
"""Legacy Delta XYWH BBox coder used in MMDet V1.x.
Following... | 8,257 | 37.0553 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/coder/pseudo_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import BBOX_CODERS
from .base_bbox_coder import BaseBBoxCoder
@BBOX_CODERS.register_module()
class PseudoBBoxCoder(BaseBBoxCoder):
"""Pseudo bounding box coder."""
def __init__(self, **kwargs):
super(BaseBBoxCoder, self).__init__(**kwargs... | 577 | 27.9 | 60 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/coder/tblr_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import torch
from ..builder import BBOX_CODERS
from .base_bbox_coder import BaseBBoxCoder
@BBOX_CODERS.register_module()
class TBLRBBoxCoder(BaseBBoxCoder):
"""TBLR BBox coder.
Following the practice in `FSAF <https://arxiv.org/abs/1903.00621>`_,
... | 8,625 | 40.671498 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/coder/yolo_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import torch
from ..builder import BBOX_CODERS
from .base_bbox_coder import BaseBBoxCoder
@BBOX_CODERS.register_module()
class YOLOBBoxCoder(BaseBBoxCoder):
"""YOLO BBox coder.
Following `YOLO <https://arxiv.org/abs/1506.02640>`_, this coder divide... | 3,252 | 37.72619 | 77 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/iou_calculators/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .builder import build_iou_calculator
from .iou2d_calculator import BboxOverlaps2D, bbox_overlaps
__all__ = ['build_iou_calculator', 'BboxOverlaps2D', 'bbox_overlaps']
| 221 | 36 | 69 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/iou_calculators/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.utils import Registry, build_from_cfg
IOU_CALCULATORS = Registry('IoU calculator')
def build_iou_calculator(cfg, default_args=None):
"""Builder of IoU calculator."""
return build_from_cfg(cfg, IOU_CALCULATORS, default_args)
| 293 | 28.4 | 61 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/iou_calculators/iou2d_calculator.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from .builder import IOU_CALCULATORS
def cast_tensor_type(x, scale=1., dtype=None):
if dtype == 'fp16':
# scale is for preventing overflows
x = (x / scale).half()
return x
def fp16_clamp(x, min=None, max=None):
if not x.is_cud... | 9,602 | 35.793103 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/match_costs/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .builder import build_match_cost
from .match_cost import (BBoxL1Cost, ClassificationCost, CrossEntropyLossCost,
DiceCost, FocalLossCost, IoUCost)
__all__ = [
'build_match_cost', 'ClassificationCost', 'BBoxL1Cost', 'IoUCost',
'FocalLo... | 366 | 35.7 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/match_costs/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.utils import Registry, build_from_cfg
MATCH_COST = Registry('Match Cost')
def build_match_cost(cfg, default_args=None):
"""Builder of IoU calculator."""
return build_from_cfg(cfg, MATCH_COST, default_args)
| 275 | 26.6 | 56 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/match_costs/match_cost.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn.functional as F
from mmdet.core.bbox.iou_calculators import bbox_overlaps
from mmdet.core.bbox.transforms import bbox_cxcywh_to_xyxy, bbox_xyxy_to_cxcywh
from .builder import MATCH_COST
@MATCH_COST.register_module()
class BBoxL1Cost:
""... | 12,651 | 34.144444 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_sampler import BaseSampler
from .combined_sampler import CombinedSampler
from .instance_balanced_pos_sampler import InstanceBalancedPosSampler
from .iou_balanced_neg_sampler import IoUBalancedNegSampler
from .mask_pseudo_sampler import MaskPseudoSampler
from .m... | 827 | 40.4 | 77 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/base_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
import torch
from .sampling_result import SamplingResult
class BaseSampler(metaclass=ABCMeta):
"""Base class of samplers."""
def __init__(self,
num,
pos_fraction,
neg_p... | 3,920 | 37.067961 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/combined_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import BBOX_SAMPLERS, build_sampler
from .base_sampler import BaseSampler
@BBOX_SAMPLERS.register_module()
class CombinedSampler(BaseSampler):
"""A sampler that combines positive sampler and negative sampler."""
def __init__(self, pos_sampler, ne... | 748 | 33.045455 | 72 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/instance_balanced_pos_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from ..builder import BBOX_SAMPLERS
from .random_sampler import RandomSampler
@BBOX_SAMPLERS.register_module()
class InstanceBalancedPosSampler(RandomSampler):
"""Instance balanced sampler that samples equal number of positive sample... | 2,319 | 39.701754 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/iou_balanced_neg_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from ..builder import BBOX_SAMPLERS
from .random_sampler import RandomSampler
@BBOX_SAMPLERS.register_module()
class IoUBalancedNegSampler(RandomSampler):
"""IoU Balanced Sampling.
arXiv: https://arxiv.org/pdf/1904.02701.pdf (CV... | 6,740 | 41.396226 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/mask_pseudo_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
"""copy from
https://github.com/ZwwWayne/K-Net/blob/main/knet/det/mask_pseudo_sampler.py."""
import torch
from mmdet.core.bbox.builder import BBOX_SAMPLERS
from .base_sampler import BaseSampler
from .mask_sampling_result import MaskSamplingResult
@BBOX_SAMPLERS.regist... | 1,583 | 34.2 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/mask_sampling_result.py | # Copyright (c) OpenMMLab. All rights reserved.
"""copy from
https://github.com/ZwwWayne/K-Net/blob/main/knet/det/mask_pseudo_sampler.py."""
import torch
from .sampling_result import SamplingResult
class MaskSamplingResult(SamplingResult):
"""Mask sampling result."""
def __init__(self, pos_inds, neg_inds, ... | 2,031 | 32.311475 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/ohem_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import BBOX_SAMPLERS
from ..transforms import bbox2roi
from .base_sampler import BaseSampler
@BBOX_SAMPLERS.register_module()
class OHEMSampler(BaseSampler):
r"""Online Hard Example Mining Sampler described in `Training Region-based
... | 4,221 | 36.696429 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/pseudo_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import BBOX_SAMPLERS
from .base_sampler import BaseSampler
from .sampling_result import SamplingResult
@BBOX_SAMPLERS.register_module()
class PseudoSampler(BaseSampler):
"""A pseudo sampler that does not do sampling actually."""
def... | 1,470 | 33.209302 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/random_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from ..builder import BBOX_SAMPLERS
from .base_sampler import BaseSampler
@BBOX_SAMPLERS.register_module()
class RandomSampler(BaseSampler):
"""Random sampler.
Args:
num (int): Number of samples
pos_fraction (float): Fraction of po... | 3,071 | 36.012048 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/sampling_result.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.utils import util_mixins
class SamplingResult(util_mixins.NiceRepr):
"""Bbox sampling result.
Example:
>>> # xdoctest: +IGNORE_WANT
>>> from mmdet.core.bbox.samplers.sampling_result import * # NOQA
>>> self = Sa... | 5,389 | 34 | 81 | py |
mmdetection | mmdetection-master/mmdet/core/bbox/samplers/score_hlr_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.ops import nms_match
from ..builder import BBOX_SAMPLERS
from ..transforms import bbox2roi
from .base_sampler import BaseSampler
from .sampling_result import SamplingResult
@BBOX_SAMPLERS.register_module()
class ScoreHLRSampler(BaseSampler):
... | 11,235 | 41.240602 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/data_structures/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .general_data import GeneralData
from .instance_data import InstanceData
__all__ = ['GeneralData', 'InstanceData']
| 169 | 27.333333 | 47 | py |
mmdetection | mmdetection-master/mmdet/core/data_structures/general_data.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import numpy as np
import torch
from mmdet.utils.util_mixins import NiceRepr
class GeneralData(NiceRepr):
"""A general data structure of OpenMMlab.
A data structure that stores the meta information,
the annotations of the images or the model p... | 11,414 | 32.872404 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/data_structures/instance_data.py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
import numpy as np
import torch
from .general_data import GeneralData
class InstanceData(GeneralData):
"""Data structure for instance-level annnotations or predictions.
Subclass of :class:`GeneralData`. All value in `data_fields`
should h... | 6,926 | 35.650794 | 109 | py |
mmdetection | mmdetection-master/mmdet/core/evaluation/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .class_names import (cityscapes_classes, coco_classes, dataset_aliases,
get_classes, imagenet_det_classes,
imagenet_vid_classes, objects365v1_classes,
objects365v2_classes, oid_challenge_cl... | 1,100 | 49.045455 | 76 | py |
mmdetection | mmdetection-master/mmdet/core/evaluation/bbox_overlaps.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
def bbox_overlaps(bboxes1,
bboxes2,
mode='iou',
eps=1e-6,
use_legacy_coordinate=False):
"""Calculate the ious between each bbox of bboxes1 and bboxes2.
Args:
bbox... | 2,454 | 36.19697 | 86 | py |
mmdetection | mmdetection-master/mmdet/core/evaluation/class_names.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
def wider_face_classes():
return ['face']
def voc_classes():
return [
'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat',
'chair', 'cow', 'diningtable', 'dog', 'horse', 'motorbike', 'person',
'pottedplant'... | 30,536 | 63.018868 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/evaluation/eval_hooks.py | # Copyright (c) OpenMMLab. All rights reserved.
import bisect
import os.path as osp
import mmcv
import torch.distributed as dist
from mmcv.runner import DistEvalHook as BaseDistEvalHook
from mmcv.runner import EvalHook as BaseEvalHook
from torch.nn.modules.batchnorm import _BatchNorm
def _calc_dynamic_intervals(star... | 5,604 | 38.751773 | 76 | py |
mmdetection | mmdetection-master/mmdet/core/evaluation/mean_ap.py | # Copyright (c) OpenMMLab. All rights reserved.
from multiprocessing import Pool
import mmcv
import numpy as np
from mmcv.utils import print_log
from terminaltables import AsciiTable
from .bbox_overlaps import bbox_overlaps
from .class_names import get_classes
def average_precision(recalls, precisions, mode='area')... | 32,678 | 40.735632 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/evaluation/panoptic_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
# A custom value to distinguish instance ID and category ID; need to
# be greater than the number of categories.
# For a pixel in the panoptic result map:
# pan_id = ins_id * INSTANCE_OFFSET + cat_id
INSTANCE_OFFSET = 1000
| 273 | 38.142857 | 68 | py |
mmdetection | mmdetection-master/mmdet/core/evaluation/recall.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections.abc import Sequence
import numpy as np
from mmcv.utils import print_log
from terminaltables import AsciiTable
from .bbox_overlaps import bbox_overlaps
def _recalls(all_ious, proposal_nums, thrs):
img_num = all_ious.shape[0]
total_gt_num = sum... | 6,806 | 33.378788 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/export/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .onnx_helper import (add_dummy_nms_for_onnx, dynamic_clip_for_onnx,
get_k_for_topk)
from .pytorch2onnx import (build_model_from_cfg,
generate_inputs_and_wrap_model,
preprocess_example_inp... | 505 | 37.923077 | 75 | py |
mmdetection | mmdetection-master/mmdet/core/export/model_wrappers.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import warnings
import numpy as np
import torch
from mmdet.core import bbox2result
from mmdet.models import BaseDetector
class DeployBaseDetector(BaseDetector):
"""DeployBaseDetector."""
def __init__(self, class_names, device_id):
... | 7,469 | 39.597826 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/export/onnx_helper.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import torch
def dynamic_clip_for_onnx(x1, y1, x2, y2, max_shape):
"""Clip boxes dynamically for onnx.
Since torch.clamp cannot have dynamic `min` and `max`, we scale the
boxes by 1/max_shape and clamp in the range [0, 1].
Args:
x1... | 8,367 | 36.357143 | 98 | py |
mmdetection | mmdetection-master/mmdet/core/export/pytorch2onnx.py | # Copyright (c) OpenMMLab. All rights reserved.
from functools import partial
import mmcv
import numpy as np
import torch
from mmcv.runner import load_checkpoint
def generate_inputs_and_wrap_model(config_path,
checkpoint_path,
input_config,
... | 5,995 | 36.475 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/hook/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .checkloss_hook import CheckInvalidLossHook
from .ema import ExpMomentumEMAHook, LinearMomentumEMAHook
from .memory_profiler_hook import MemoryProfilerHook
from .set_epoch_info_hook import SetEpochInfoHook
from .sync_norm_hook import SyncNormHook
from .sync_random_si... | 752 | 40.833333 | 72 | py |
mmdetection | mmdetection-master/mmdet/core/hook/checkloss_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner.hooks import HOOKS, Hook
@HOOKS.register_module()
class CheckInvalidLossHook(Hook):
"""Check invalid loss hook.
This hook will regularly check whether the loss is valid
during training.
Args:
interval (int): Checki... | 681 | 26.28 | 66 | py |
mmdetection | mmdetection-master/mmdet/core/hook/ema.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from mmcv.parallel import is_module_wrapper
from mmcv.runner.hooks import HOOKS, Hook
class BaseEMAHook(Hook):
"""Exponential Moving Average Hook.
Use Exponential Moving Average on all parameters of model in training
process. All parameters hav... | 5,150 | 38.320611 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/hook/memory_profiler_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.runner.hooks import HOOKS, Hook
@HOOKS.register_module()
class MemoryProfilerHook(Hook):
"""Memory profiler hook recording memory information including virtual
memory, swap memory, and the memory of the current process.
Args:
interval (int... | 2,118 | 36.839286 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/hook/set_epoch_info_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.parallel import is_module_wrapper
from mmcv.runner import HOOKS, Hook
@HOOKS.register_module()
class SetEpochInfoHook(Hook):
"""Set runner's epoch information to the model."""
def before_train_epoch(self, runner):
epoch = runner.epoch
... | 442 | 26.6875 | 54 | py |
mmdetection | mmdetection-master/mmdet/core/hook/sync_norm_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from collections import OrderedDict
from mmcv.runner import get_dist_info
from mmcv.runner.hooks import HOOKS, Hook
from torch import nn
from ..utils.dist_utils import all_reduce_dict
def get_norm_states(module):
async_norm_states = OrderedDict()
for name, chi... | 1,789 | 32.773585 | 77 | py |
mmdetection | mmdetection-master/mmdet/core/hook/sync_random_size_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
import random
import warnings
import torch
from mmcv.runner import get_dist_info
from mmcv.runner.hooks import HOOKS, Hook
from torch import distributed as dist
@HOOKS.register_module()
class SyncRandomSizeHook(Hook):
"""Change and synchronize the random image size... | 3,061 | 40.945205 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/hook/wandblogger_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
import importlib
import os.path as osp
import sys
import warnings
import mmcv
import numpy as np
import pycocotools.mask as mask_util
from mmcv.runner import HOOKS
from mmcv.runner.dist_utils import master_only
from mmcv.runner.hooks.checkpoint import CheckpointHook
from... | 23,938 | 39.301347 | 83 | py |
mmdetection | mmdetection-master/mmdet/core/hook/yolox_lrupdater_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.runner.hooks import HOOKS
from mmcv.runner.hooks.lr_updater import (CosineAnnealingLrUpdaterHook,
annealing_cos)
@HOOKS.register_module()
class YOLOXLrUpdaterHook(CosineAnnealingLrUpdaterHook):
"""YOLOX learning ra... | 2,310 | 32.985294 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/hook/yolox_mode_switch_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.parallel import is_module_wrapper
from mmcv.runner.hooks import HOOKS, Hook
@HOOKS.register_module()
class YOLOXModeSwitchHook(Hook):
"""Switch the mode of YOLOX during training.
This hook turns off the mosaic and mixup data augmentation and switches
... | 2,270 | 41.849057 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/mask/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .mask_target import mask_target
from .structures import BaseInstanceMasks, BitmapMasks, PolygonMasks
from .utils import encode_mask_results, mask2bbox, split_combined_polys
__all__ = [
'split_combined_polys', 'mask_target', 'BaseInstanceMasks', 'BitmapMasks',
... | 375 | 36.6 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/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... | 5,115 | 38.96875 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/mask/structures.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
import cv2
import mmcv
import numpy as np
import pycocotools.mask as maskUtils
import torch
from mmcv.ops.roi_align import roi_align
class BaseInstanceMasks(metaclass=ABCMeta):
"""Base class for instance masks."""
@abstr... | 41,496 | 36.62194 | 141 | py |
mmdetection | mmdetection-master/mmdet/core/mask/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
import pycocotools.mask as mask_util
import torch
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 poly is represented as
a... | 3,017 | 32.533333 | 75 | py |
mmdetection | mmdetection-master/mmdet/core/optimizers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .builder import OPTIMIZER_BUILDERS, build_optimizer
from .layer_decay_optimizer_constructor import \
LearningRateDecayOptimizerConstructor
__all__ = [
'LearningRateDecayOptimizerConstructor', 'OPTIMIZER_BUILDERS',
'build_optimizer'
]
| 300 | 29.1 | 66 | py |
mmdetection | mmdetection-master/mmdet/core/optimizers/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from mmcv.runner.optimizer import OPTIMIZER_BUILDERS as MMCV_OPTIMIZER_BUILDERS
from mmcv.utils import Registry, build_from_cfg
OPTIMIZER_BUILDERS = Registry(
'optimizer builder', parent=MMCV_OPTIMIZER_BUILDERS)
def build_optimizer_constructor(cfg):
... | 1,218 | 34.852941 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/optimizers/layer_decay_optimizer_constructor.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
from mmcv.runner import DefaultOptimizerConstructor, get_dist_info
from mmdet.utils import get_root_logger
from .builder import OPTIMIZER_BUILDERS
def get_layer_id_for_convnext(var_name, max_layer_id):
"""Get the layer id to set the different learning ... | 5,856 | 36.787097 | 77 | py |
mmdetection | mmdetection-master/mmdet/core/post_processing/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .bbox_nms import fast_nms, multiclass_nms
from .matrix_nms import mask_matrix_nms
from .merge_augs import (merge_aug_bboxes, merge_aug_masks,
merge_aug_proposals, merge_aug_scores)
__all__ = [
'multiclass_nms', 'merge_aug_proposals', 'me... | 412 | 36.545455 | 72 | py |
mmdetection | mmdetection-master/mmdet/core/post_processing/bbox_nms.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.ops.nms import batched_nms
from mmdet.core.bbox.iou_calculators import bbox_overlaps
def multiclass_nms(multi_bboxes,
multi_scores,
score_thr,
nms_cfg,
max_num=-1,
... | 6,495 | 36.767442 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/post_processing/matrix_nms.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
def mask_matrix_nms(masks,
labels,
scores,
filter_thr=-1,
nms_pre=-1,
max_num=-1,
kernel='gaussian',
sigma=2.0,
... | 4,622 | 36.893443 | 77 | py |
mmdetection | mmdetection-master/mmdet/core/post_processing/merge_augs.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
import numpy as np
import torch
from mmcv import ConfigDict
from mmcv.ops import nms
from ..bbox import bbox_mapping_back
def merge_aug_proposals(aug_proposals, img_metas, cfg):
"""Merge augmented proposals (multiscale, flip, etc.)
... | 5,790 | 36.36129 | 78 | py |
mmdetection | mmdetection-master/mmdet/core/utils/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .dist_utils import (DistOptimizerHook, all_reduce_dict, allreduce_grads,
reduce_mean, sync_random_seed)
from .misc import (center_of_mass, filter_scores_and_topk, flip_tensor,
generate_coordinate, mask2ndarray, multi_apply,... | 635 | 44.428571 | 77 | py |
mmdetection | mmdetection-master/mmdet/core/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 mmcv.runner import OptimizerHook, get_dist_info
from torch._utils import (_flatten_dense_tensors, _take_tensors,
... | 6,525 | 32.639175 | 77 | py |
mmdetection | mmdetection-master/mmdet/core/utils/misc.py | # Copyright (c) OpenMMLab. All rights reserved.
from functools import partial
import numpy as np
import torch
from six.moves import map, zip
from ..mask.structures import BitmapMasks, PolygonMasks
def multi_apply(func, *args, **kwargs):
"""Apply function to a list of arguments.
Note:
This function ... | 7,147 | 33.200957 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/visualization/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .image import (color_val_matplotlib, imshow_det_bboxes,
imshow_gt_det_bboxes)
from .palette import get_palette, palette_val
__all__ = [
'imshow_det_bboxes', 'imshow_gt_det_bboxes', 'color_val_matplotlib',
'palette_val', 'get_palette'
]
| 318 | 30.9 | 72 | py |
mmdetection | mmdetection-master/mmdet/core/visualization/image.py | # Copyright (c) OpenMMLab. All rights reserved.
import sys
import cv2
import matplotlib.pyplot as plt
import mmcv
import numpy as np
import pycocotools.mask as mask_util
from matplotlib.collections import PatchCollection
from matplotlib.patches import Polygon
from mmdet.core.evaluation.panoptic_utils import INSTANCE_... | 21,190 | 36.572695 | 79 | py |
mmdetection | mmdetection-master/mmdet/core/visualization/palette.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
def palette_val(palette):
"""Convert palette to matplotlib palette.
Args:
palette List[tuple]: A list of color tuples.
Returns:
List[tuple[float]]: A list of RGB matplotlib color tuples.
"""
new_palett... | 2,068 | 31.328125 | 75 | py |
mmdetection | mmdetection-master/mmdet/datasets/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .builder import DATASETS, PIPELINES, build_dataloader, build_dataset
from .cityscapes import CityscapesDataset
from .coco import CocoDataset
from .coco_occluded import OccludedSeparatedCocoDataset
from .coco_panoptic import CocoPanopticDataset
from .custom import Cus... | 1,648 | 50.53125 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import platform
import random
import warnings
from functools import partial
import numpy as np
import torch
from mmcv.parallel import collate
from mmcv.runner import get_dist_info
from mmcv.utils import TORCH_VERSION, Registry, build_from_cfg, digit_version
f... | 8,421 | 37.990741 | 79 | py |
mmdetection | mmdetection-master/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
import glob
im... | 14,529 | 41.735294 | 135 | py |
mmdetection | mmdetection-master/mmdet/datasets/coco.py | # Copyright (c) OpenMMLab. All rights reserved.
import contextlib
import io
import itertools
import logging
import os.path as osp
import tempfile
import warnings
from collections import OrderedDict
import mmcv
import numpy as np
from mmcv.utils import print_log
from terminaltables import AsciiTable
from mmdet.core im... | 28,333 | 42.590769 | 124 | py |
mmdetection | mmdetection-master/mmdet/datasets/coco_occluded.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import mmcv
import numpy as np
from mmcv.fileio import load
from mmcv.utils import print_log
from pycocotools import mask as coco_mask
from terminaltables import AsciiTable
from .builder import DATASETS
from .coco import CocoDataset
@DATASETS.reg... | 9,166 | 40.668182 | 111 | py |
mmdetection | mmdetection-master/mmdet/datasets/coco_panoptic.py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
import os
from collections import defaultdict
import mmcv
import numpy as np
from mmcv.utils import print_log
from terminaltables import AsciiTable
from mmdet.core import INSTANCE_OFFSET
from .api_wrappers import COCO, pq_compute_multi_core
from .builde... | 29,277 | 41.248196 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/custom.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import warnings
from collections import OrderedDict
import mmcv
import numpy as np
from mmcv.utils import print_log
from terminaltables import AsciiTable
from torch.utils.data import Dataset
from mmdet.core import eval_map, eval_recalls
from .build... | 15,497 | 36.525424 | 79 | py |
mmdetection | mmdetection-master/mmdet/datasets/dataset_wrappers.py | # Copyright (c) OpenMMLab. All rights reserved.
import bisect
import collections
import copy
import math
from collections import defaultdict
import numpy as np
from mmcv.utils import build_from_cfg, print_log
from torch.utils.data.dataset import ConcatDataset as _ConcatDataset
from .builder import DATASETS, PIPELINES... | 17,774 | 37.894967 | 167 | py |
mmdetection | mmdetection-master/mmdet/datasets/deepfashion.py | # Copyright (c) OpenMMLab. All rights reserved.
from .builder import DATASETS
from .coco import CocoDataset
@DATASETS.register_module()
class DeepFashionDataset(CocoDataset):
CLASSES = ('top', 'skirt', 'leggings', 'dress', 'outer', 'pants', 'bag',
'neckwear', 'headwear', 'eyeglass', 'belt', 'footw... | 642 | 36.823529 | 78 | py |
mmdetection | mmdetection-master/mmdet/datasets/lvis.py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
import logging
import os.path as osp
import tempfile
import warnings
from collections import OrderedDict
import numpy as np
from mmcv.utils import print_log
from terminaltables import AsciiTable
from .builder import DATASETS
from .coco import CocoDatase... | 46,336 | 61.364738 | 157 | py |
mmdetection | mmdetection-master/mmdet/datasets/objects365.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from .api_wrappers import COCO
from .builder import DATASETS
from .coco import CocoDataset
# images exist in annotations but not in image folder.
objv2_ignore_list = [
osp.join('patch16', 'objects365_v2_00908726.jpg'),
osp.join('patch6', 'o... | 13,187 | 55.600858 | 79 | py |