repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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... | 9,678 | 35.942748 | 78 | py |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 .ohem_sampler import OHEMSampler
from .pseudo_sampler... | 676 | 38.823529 | 77 | py |
DSLA-DSLA | DSLA-DSLA/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... | 5,382 | 33.954545 | 81 | py |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/mmdet/core/visualization/image.py | # Copyright (c) OpenMMLab. All rights reserved.
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 ..utils import mask2ndarray
EPS = 1e-2
def color_val_matplotlib(color):
... | 11,270 | 35.358065 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/core/visualization/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .image import (color_val_matplotlib, imshow_det_bboxes,
imshow_gt_det_bboxes)
__all__ = ['imshow_det_bboxes', 'imshow_gt_det_bboxes', 'color_val_matplotlib']
| 232 | 37.833333 | 79 | py |
DSLA-DSLA | DSLA-DSLA/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... | 10,806 | 33.091483 | 79 | py |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/mmdet/core/utils/dist_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import functools
import pickle
import warnings
from collections import OrderedDict
import torch
import torch.distributed as dist
from mmcv.runner import OptimizerHook, get_dist_info
from torch._utils import (_flatten_dense_tensors, _take_tensors,
... | 5,201 | 32.779221 | 77 | py |
DSLA-DSLA | DSLA-DSLA/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 |
DSLA-DSLA | DSLA-DSLA/mmdet/core/utils/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .dist_utils import (DistOptimizerHook, all_reduce_dict, allreduce_grads,
reduce_mean)
from .misc import (center_of_mass, filter_scores_and_topk, flip_tensor,
generate_coordinate, mask2ndarray, multi_apply,
... | 597 | 41.714286 | 77 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/core/anchor/point_generator.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from torch.nn.modules.utils import _pair
from .builder import PRIOR_GENERATORS
@PRIOR_GENERATORS.register_module()
class PointGenerator:
def _meshgrid(self, x, y, row_major=True):
xx = x.repeat(len(y))
yy = y.view(-1... | 10,739 | 39.681818 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/core/anchor/anchor_generator.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import mmcv
import numpy as np
import torch
from torch.nn.modules.utils import _pair
from .builder import PRIOR_GENERATORS
@PRIOR_GENERATORS.register_module()
class AnchorGenerator:
"""Standard anchor generator for 2D anchor-based detectors.
A... | 37,205 | 41.913495 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/core/anchor/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
def images_to_levels(target, num_levels):
"""Convert targets by image to targets by feature level.
[target_img0, target_img1] -> [target_level0, target_level1, ...]
"""
target = torch.stack(target, 0)
level_targets = []
start = 0
... | 2,545 | 33.876712 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/core/anchor/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .anchor_generator import (AnchorGenerator, LegacyAnchorGenerator,
YOLOAnchorGenerator)
from .builder import (ANCHOR_GENERATORS, PRIOR_GENERATORS,
build_anchor_generator, build_prior_generator)
from .point_generator... | 720 | 47.066667 | 73 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/core/anchor/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmcv.utils import Registry, build_from_cfg
PRIOR_GENERATORS = Registry('Generator for anchors and points')
ANCHOR_GENERATORS = PRIOR_GENERATORS
def build_prior_generator(cfg, default_args=None):
return build_from_cfg(cfg, PRIOR_GENERATORS, de... | 583 | 28.2 | 74 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .backbones import * # noqa: F401,F403
from .builder import (BACKBONES, DETECTORS, HEADS, LOSSES, NECKS,
ROI_EXTRACTORS, SHARED_HEADS, build_backbone,
build_detector, build_head, build_loss, build_neck,
... | 899 | 44 | 78 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmcv.cnn import MODELS as MMCV_MODELS
from mmcv.utils import Registry
MODELS = Registry('models', parent=MMCV_MODELS)
BACKBONES = MODELS
NECKS = MODELS
ROI_EXTRACTORS = MODELS
SHARED_HEADS = MODELS
HEADS = MODELS
LOSSES = MODELS
DETECTORS = MODELS
... | 1,449 | 23.166667 | 71 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/solo.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage_instance_seg import SingleStageInstanceSegmentor
@DETECTORS.register_module()
class SOLO(SingleStageInstanceSegmentor):
"""`SOLO: Segmenting Objects by Locations
<https://arxiv.org/abs/1912.04488>`_
"""
... | 870 | 27.096774 | 67 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/yolox.py | # Copyright (c) OpenMMLab. All rights reserved.
import random
import torch
import torch.distributed as dist
import torch.nn.functional as F
from mmcv.runner import get_dist_info
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class YOLOX(SingleStageDetector... | 5,360 | 38.711111 | 78 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/fsaf.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class FSAF(SingleStageDetector):
"""Implementation of `FSAF <https://arxiv.org/abs/1903.00621>`_"""
def __init__(self,
backbone,
... | 635 | 30.8 | 72 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/two_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
from ..builder import DETECTORS, build_backbone, build_head, build_neck
from .base import BaseDetector
@DETECTORS.register_module()
class TwoStageDetector(BaseDetector):
"""Base class for two-stage detectors.
Two-stage detectors t... | 7,703 | 35.339623 | 148 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/base.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from collections import OrderedDict
import mmcv
import numpy as np
import torch
import torch.distributed as dist
from mmcv.runner import BaseModule, auto_fp16
from mmdet.core.visualization import imshow_det_bboxes
class BaseDete... | 14,772 | 39.922438 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/single_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
from mmdet.core import bbox2result
from ..builder import DETECTORS, build_backbone, build_head, build_neck
from .base import BaseDetector
@DETECTORS.register_module()
class SingleStageDetector(BaseDetector):
"""Base class for single-st... | 6,645 | 37.639535 | 78 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/gfl.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class GFL(SingleStageDetector):
def __init__(self,
backbone,
neck,
bbox_head,
train_cfg=No... | 561 | 28.578947 | 71 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/detr.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class DETR(SingleStageDetector):
r"""Implementation of `DETR: End-to-End Object Detection with
Transformers <https://arxiv.o... | 2,483 | 33.985915 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/yolo.py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) 2019 Western Digital Corporation or its affiliates.
import torch
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class YOLOV3(SingleStageDetector):
def __init__(self,
backb... | 1,382 | 31.162791 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/reppoints_detector.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class RepPointsDetector(SingleStageDetector):
"""RepPoints: Point Set Representation for Object Detection.
This detector is the implementation of:
... | 784 | 30.4 | 76 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/scnet.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .cascade_rcnn import CascadeRCNN
@DETECTORS.register_module()
class SCNet(CascadeRCNN):
"""Implementation of `SCNet <https://arxiv.org/abs/2012.10150>`_"""
def __init__(self, **kwargs):
super(SCNet, self).__init__(**... | 328 | 26.416667 | 71 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/kd_one_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import torch
from mmcv.runner import load_checkpoint
from .. import build_detector
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class KnowledgeDistillationSingleStageDetector(SingleStageDetector)... | 4,150 | 39.696078 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/fast_rcnn.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class FastRCNN(TwoStageDetector):
"""Implementation of `Fast R-CNN <https://arxiv.org/abs/1504.08083>`_"""
def __init__(self,
backbone,
... | 2,164 | 37.660714 | 78 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/autoassign.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class AutoAssign(SingleStageDetector):
"""Implementation of `AutoAssign: Differentiable Label Assignment for Dense
Object Detection <https://arxiv.org/abs/... | 682 | 33.15 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/cascade_rcnn.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class CascadeRCNN(TwoStageDetector):
r"""Implementation of `Cascade R-CNN: Delving into High Quality Object
Detection <https://arxiv.org/abs/1906.09756>`_"""
... | 1,698 | 32.98 | 75 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/dsla.py | from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class DSLA(SingleStageDetector):
""""""
def __init__(self,
backbone,
neck,
bbox_head,
train_cfg=None,
test_cfg=None,
... | 485 | 26 | 72 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/deformable_detr.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .detr import DETR
@DETECTORS.register_module()
class DeformableDETR(DETR):
def __init__(self, *args, **kwargs):
super(DETR, self).__init__(*args, **kwargs)
| 256 | 22.363636 | 51 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/nasfcos.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class NASFCOS(SingleStageDetector):
"""NAS-FCOS: Fast Neural Architecture Search for Object Detection.
https://arxiv.org/abs/1906.0442
"""
def __... | 689 | 29 | 75 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/mask_rcnn.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class MaskRCNN(TwoStageDetector):
"""Implementation of `Mask R-CNN <https://arxiv.org/abs/1703.06870>`_"""
def __init__(self,
backbone,
... | 803 | 27.714286 | 76 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/paa.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class PAA(SingleStageDetector):
"""Implementation of `PAA <https://arxiv.org/pdf/2007.08103.pdf>`_."""
def __init__(self,
backbone,
... | 636 | 30.85 | 74 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/faster_rcnn.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class FasterRCNN(TwoStageDetector):
"""Implementation of `Faster R-CNN <https://arxiv.org/abs/1506.01497>`_"""
def __init__(self,
backbone,
... | 809 | 27.928571 | 78 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/grid_rcnn.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class GridRCNN(TwoStageDetector):
"""Grid R-CNN.
This detector is the implementation of:
- Grid R-CNN (https://arxiv.org/abs/1811.12030)
- Grid R-CNN Pl... | 926 | 27.090909 | 75 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/yolact.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.core import bbox2result
from ..builder import DETECTORS, build_head
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class YOLACT(SingleStageDetector):
"""Implementation of `YOLACT <https://arxiv.org/abs/1904.02689>... | 4,728 | 38.082645 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/rpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import mmcv
import torch
from mmcv.image import tensor2imgs
from mmdet.core import bbox_mapping
from ..builder import DETECTORS, build_backbone, build_head, build_neck
from .base import BaseDetector
@DETECTORS.register_module()
class RPN(BaseDetector):... | 6,136 | 37.35625 | 78 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/trident_faster_rcnn.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .faster_rcnn import FasterRCNN
@DETECTORS.register_module()
class TridentFasterRCNN(FasterRCNN):
"""Implementation of `TridentNet <https://arxiv.org/abs/1901.01892>`_"""
def __init__(self,
backbone,
... | 2,866 | 39.380282 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/retinanet.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class RetinaNet(SingleStageDetector):
"""Implementation of `RetinaNet <https://arxiv.org/abs/1708.02002>`_"""
def __init__(self,
backbone... | 655 | 31.8 | 77 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/point_rend.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class PointRend(TwoStageDetector):
"""PointRend: Image Segmentation as Rendering
This detector is the implementation of
`PointRend <https://arxiv.org/abs/19... | 884 | 25.818182 | 52 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/queryinst.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .sparse_rcnn import SparseRCNN
@DETECTORS.register_module()
class QueryInst(SparseRCNN):
r"""Implementation of
`Instances as Queries <http://arxiv.org/abs/2105.01928>`_"""
def __init__(self,
backbone,
... | 809 | 26.931034 | 64 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/atss.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class ATSS(SingleStageDetector):
"""Implementation of `ATSS <https://arxiv.org/abs/1912.02424>`_."""
def __init__(self,
backbone,
... | 636 | 30.85 | 72 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/panoptic_two_stage_segmentor.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.core import bbox2roi, multiclass_nms
from ..builder import DETECTORS, build_head
from ..roi_heads.mask_heads.fcn_mask_head import _do_paste_mask
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class TwoStagePanopticSegmentor... | 7,725 | 36.872549 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/centernet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.core import bbox2result
from mmdet.models.builder import DETECTORS
from ...core.utils import flip_tensor
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class CenterNet(SingleStageDetector):
"""Implementation of Ce... | 4,206 | 36.5625 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/fcos.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class FCOS(SingleStageDetector):
"""Implementation of `FCOS <https://arxiv.org/abs/1904.01355>`_"""
def __init__(self,
backbone,
... | 635 | 30.8 | 72 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/fovea.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class FOVEA(SingleStageDetector):
"""Implementation of `FoveaBox <https://arxiv.org/abs/1904.03797>`_"""
def __init__(self,
backbone,
... | 642 | 31.15 | 74 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/single_stage_instance_seg.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
import mmcv
import numpy as np
import torch
from mmdet.core.visualization.image import imshow_det_bboxes
from ..builder import DETECTORS, build_backbone, build_head, build_neck
from .base import BaseDetector
INF = 1e8
@DETECTORS.register_m... | 13,785 | 36.873626 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/tood.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class TOOD(SingleStageDetector):
r"""Implementation of `TOOD: Task-aligned One-stage Object Detection.
<https://arxiv.org/abs/2108.07755>`_."""
def __... | 753 | 30.416667 | 73 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/htc.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .cascade_rcnn import CascadeRCNN
@DETECTORS.register_module()
class HybridTaskCascade(CascadeRCNN):
"""Implementation of `HTC <https://arxiv.org/abs/1901.07518>`_"""
def __init__(self, **kwargs):
super(HybridTaskCasc... | 498 | 28.352941 | 69 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .atss import ATSS
from .autoassign import AutoAssign
from .base import BaseDetector
from .cascade_rcnn import CascadeRCNN
from .centernet import CenterNet
from .cornernet import CornerNet
from .deformable_detr import DeformableDETR
from .detr import DETR
from .fast_r... | 2,038 | 35.410714 | 77 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/cornernet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.core import bbox2result, bbox_mapping_back
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class CornerNet(SingleStageDetector):
"""CornerNet.
This detector is the implementatio... | 3,668 | 36.438776 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/lad.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.runner import load_checkpoint
from ..builder import DETECTORS, build_backbone, build_head, build_neck
from .kd_one_stage import KnowledgeDistillationSingleStageDetector
@DETECTORS.register_module()
class LAD(KnowledgeDistill... | 3,916 | 41.11828 | 78 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/vfnet.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class VFNet(SingleStageDetector):
"""Implementation of `VarifocalNet
(VFNet).<https://arxiv.org/abs/2008.13367>`_"""
def __init__(self,
... | 658 | 30.380952 | 73 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/panoptic_fpn.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .panoptic_two_stage_segmentor import TwoStagePanopticSegmentor
@DETECTORS.register_module()
class PanopticFPN(TwoStagePanopticSegmentor):
r"""Implementation of `Panoptic feature pyramid
networks <https://arxiv.org/pdf/1901.02... | 1,074 | 29.714286 | 67 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/sparse_rcnn.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class SparseRCNN(TwoStageDetector):
r"""Implementation of `Sparse R-CNN: End-to-End Object Detection with
Learnable Proposals <https://arxiv.org/abs/2011.12450>`... | 4,406 | 38.348214 | 78 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/mask_scoring_rcnn.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .two_stage import TwoStageDetector
@DETECTORS.register_module()
class MaskScoringRCNN(TwoStageDetector):
"""Mask Scoring RCNN.
https://arxiv.org/abs/1903.00241
"""
def __init__(self,
backbone,
... | 812 | 25.225806 | 47 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/detectors/yolof.py | # Copyright (c) OpenMMLab. All rights reserved.
from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class YOLOF(SingleStageDetector):
r"""Implementation of `You Only Look One-level Feature
<https://arxiv.org/abs/2103.09460>`_"""
def __init__(self,
... | 628 | 30.45 | 73 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/seg_heads/base_semantic_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
import torch.nn.functional as F
from mmcv.runner import BaseModule, force_fp32
from ..builder import build_loss
from ..utils import interpolate_as
class BaseSemanticHead(BaseModule, metaclass=ABCMeta):
"""Base module of Sema... | 2,849 | 31.758621 | 77 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/seg_heads/panoptic_fpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
import torch.nn as nn
from mmcv.runner import ModuleList
from ..builder import HEADS
from ..utils import ConvUpsample
from .base_semantic_head import BaseSemanticHead
@HEADS.register_module()
class PanopticFPNHead(BaseSemanticHead):
""... | 6,675 | 41.794872 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/seg_heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .panoptic_fpn_head import PanopticFPNHead # noqa: F401,F403
from .panoptic_fusion_heads import * # noqa: F401,F403
| 170 | 41.75 | 65 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/seg_heads/panoptic_fusion_heads/heuristic_fusion_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.datasets.coco_panoptic import INSTANCE_OFFSET
from mmdet.models.builder import HEADS
from .base_panoptic_fusion_head import BasePanopticFusionHead
@HEADS.register_module()
class HeuristicFusionHead(BasePanopticFusionHead):
"""Fusion Head wit... | 4,474 | 34.23622 | 77 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/seg_heads/panoptic_fusion_heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_panoptic_fusion_head import \
BasePanopticFusionHead # noqa: F401,F403
from .heuristic_fusion_head import HeuristicFusionHead # noqa: F401,F403
| 209 | 41 | 73 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/seg_heads/panoptic_fusion_heads/base_panoptic_fusion_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from mmcv.runner import BaseModule
from ...builder import build_loss
class BasePanopticFusionHead(BaseModule, metaclass=ABCMeta):
"""Base class for panoptic heads."""
def __init__(self,
num_things_class... | 1,507 | 29.77551 | 75 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/plugins/dropblock.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import PLUGIN_LAYERS
eps = 1e-6
@PLUGIN_LAYERS.register_module()
class DropBlock(nn.Module):
"""Randomly drop some regions of feature maps.
Please refer to the method proposed in... | 2,925 | 33.023256 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/plugins/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .dropblock import DropBlock
__all__ = ['DropBlock']
| 106 | 20.4 | 47 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/necks/yolox_pafpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from mmcv.runner import BaseModule
from ..builder import NECKS
from ..utils import CSPLayer
@NECKS.register_module()
class YOLOXPAFPN(BaseModule):
"""Path ... | 5,647 | 34.974522 | 78 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/necks/ssd_neck.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from mmcv.runner import BaseModule
from ..builder import NECKS
@NECKS.register_module()
class SSDNeck(BaseModule):
"""Extra layers of SSD backbone to generate multi-sca... | 4,891 | 36.630769 | 77 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/necks/rfp.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import constant_init, xavier_init
from mmcv.runner import BaseModule, ModuleList
from ..builder import NECKS, build_backbone
from .fpn import FPN
class ASPP(BaseModule):
"""ASPP (Atrou... | 5,052 | 36.154412 | 78 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/necks/dilated_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import (ConvModule, caffe2_xavier_init, constant_init, is_norm,
normal_init)
from torch.nn import BatchNorm2d
from ..builder import NECKS
class Bottleneck(nn.Module):
"""Bottleneck block for DilatedEncoder u... | 3,868 | 34.495413 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/necks/fpg.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from ..builder import NECKS
class Transition(BaseModule):
"""Base class for transition.
Args:
in_channels (int): Number of input ch... | 16,338 | 39.144963 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/necks/pafpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmcv.runner import auto_fp16
from ..builder import NECKS
from .fpn import FPN
@NECKS.register_module()
class PAFPN(FPN):
"""Path Aggregation Network for Instance Segmentation... | 6,251 | 38.320755 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/necks/nasfcos_fpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, caffe2_xavier_init
from mmcv.ops.merge_cells import ConcatCell
from mmcv.runner import BaseModule
from ..builder import NECKS
@NECKS.register_module()
class NASFCOS_FPN(BaseModule):
... | 6,591 | 37.776471 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/necks/fpn_carafe.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import ConvModule, build_upsample_layer, xavier_init
from mmcv.ops.carafe import CARAFEPack
from mmcv.runner import BaseModule, ModuleList
from ..builder import NECKS
@NECKS.register_module()
class FPN_CARAFE(BaseModule):
"""FPN_... | 11,100 | 39.221014 | 79 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/necks/ct_resnet_neck.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule, auto_fp16
from mmdet.models.builder import NECKS
@NECKS.register_module()
class CTResNetNeck(BaseModule):
"""The neck used in `CenterNet <https://arxiv.org/abs/19... | 3,642 | 37.347368 | 77 | py |
DSLA-DSLA | DSLA-DSLA/mmdet/models/necks/fpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule, auto_fp16
from ..builder import NECKS
@NECKS.register_module()
class FPN(BaseModule):
r"""Feature Pyramid Network.
This is an implementati... | 8,671 | 41.509804 | 79 | py |
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