repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
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values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/meta_arch/rcnn.py | detectron2/modeling/meta_arch/rcnn.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from typing import Dict, List, Optional, Tuple
import torch
from torch import nn
from detectron2.config import configurable
from detectron2.data.detection_utils import convert_image_to_rgb
from detectron2.layers import move_device_lik... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/meta_arch/semantic_seg.py | detectron2/modeling/meta_arch/semantic_seg.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Callable, Dict, Optional, Tuple, Union
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import Con... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/meta_arch/retinanet.py | detectron2/modeling/meta_arch/retinanet.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
from typing import List, Tuple
import torch
from fvcore.nn import sigmoid_focal_loss_jit
from torch import Tensor, nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import CycleBatchNor... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/meta_arch/panoptic_fpn.py | detectron2/modeling/meta_arch/panoptic_fpn.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Dict, List
import torch
from torch import nn
from detectron2.config import configurable
from detectron2.structures import ImageList
from ..postprocessing import detector_postprocess, sem_seg_postprocess
from ... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/meta_arch/build.py | detectron2/modeling/meta_arch/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from detectron2.utils.logger import _log_api_usage
from detectron2.utils.registry import Registry
META_ARCH_REGISTRY = Registry("META_ARCH") # noqa F401 isort:skip
META_ARCH_REGISTRY.__doc__ = """
Registry for meta-architectures, i.e. the whole model.
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/meta_arch/fcos.py | detectron2/modeling/meta_arch/fcos.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import List, Optional, Tuple
import torch
from fvcore.nn import sigmoid_focal_loss_jit
from torch import nn
from torch.nn import functional as F
from detectron2.layers import ShapeSpec, batched_nms
from detectron2.structures import Boxes, I... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/meta_arch/__init__.py | detectron2/modeling/meta_arch/__init__.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
from .build import META_ARCH_REGISTRY, build_model # isort:skip
from .panoptic_fpn import PanopticFPN
# import all the meta_arch, so they will be registered
from .rcnn import GeneralizedRCNN, ProposalNetwork
from .dense_detector import Dense... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/roi_heads/fast_rcnn.py | detectron2/modeling/roi_heads/fast_rcnn.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Callable, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.data.detection_utils import get_fed_loss_cls_weights
from d... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/roi_heads/rotated_fast_rcnn.py | detectron2/modeling/roi_heads/rotated_fast_rcnn.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import torch
from detectron2.config import configurable
from detectron2.layers import ShapeSpec, batched_nms_rotated
from detectron2.structures import Instances, RotatedBoxes, pairwise_iou_rotated
from detectron2.utils.events import g... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/roi_heads/mask_head.py | detectron2/modeling/roi_heads/mask_head.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import Conv2d, ConvTranspose2d, ShapeSpec, cat, get_norm
from d... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/roi_heads/box_head.py | detectron2/modeling/roi_heads/box_head.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import List
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from detectron2.config import configurable
from detectron2.layers import Conv2d, ShapeSpec, get_norm
from detectron2.utils.registry import Registry... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/roi_heads/cascade_rcnn.py | detectron2/modeling/roi_heads/cascade_rcnn.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from torch import nn
from torch.autograd.function import Function
from detectron2.config import configurable
from detectron2.layers import ShapeSpec
from detectron2.structures import Boxes, Instances, pairwise_iou
from detectron2.u... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/roi_heads/keypoint_head.py | detectron2/modeling/roi_heads/keypoint_head.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import Conv2d, ConvTranspose2d, cat, interpolate
from detectron2.structures import Instances, heatmaps_to_k... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/roi_heads/__init__.py | detectron2/modeling/roi_heads/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
from .box_head import ROI_BOX_HEAD_REGISTRY, build_box_head, FastRCNNConvFCHead
from .keypoint_head import (
ROI_KEYPOINT_HEAD_REGISTRY,
build_keypoint_head,
BaseKeypointRCNNHead,
KRCNNConvDeconvUpsampleHead,
)
from .mask_head import (
ROI_MASK_HEAD... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/roi_heads/roi_heads.py | detectron2/modeling/roi_heads/roi_heads.py | # Copyright (c) Facebook, Inc. and its affiliates.
import inspect
import logging
import numpy as np
from typing import Dict, List, Optional, Tuple
import torch
from torch import nn
from detectron2.config import configurable
from detectron2.layers import ShapeSpec, nonzero_tuple
from detectron2.structures import Boxes,... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | true |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/backbone/build.py | detectron2/modeling/backbone/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.layers import ShapeSpec
from detectron2.utils.registry import Registry
from .backbone import Backbone
BACKBONE_REGISTRY = Registry("BACKBONE")
BACKBONE_REGISTRY.__doc__ = """
Registry for backbones, which extract feature maps from images
The register... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/backbone/vit.py | detectron2/modeling/backbone/vit.py | import logging
import math
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn as nn
from detectron2.layers import CNNBlockBase, Conv2d, get_norm
from detectron2.modeling.backbone.fpn import _assert_strides_are_log2_contiguous
from .backbone import Backbone
from .utils import (
PatchEmbed,
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/backbone/mvit.py | detectron2/modeling/backbone/mvit.py | import logging
import numpy as np
import torch
import torch.nn as nn
from .backbone import Backbone
from .utils import (
PatchEmbed,
add_decomposed_rel_pos,
get_abs_pos,
window_partition,
window_unpartition,
)
logger = logging.getLogger(__name__)
__all__ = ["MViT"]
def attention_pool(x, pool, ... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/backbone/backbone.py | detectron2/modeling/backbone/backbone.py | # Copyright (c) Facebook, Inc. and its affiliates.
from abc import ABCMeta, abstractmethod
from typing import Dict
import torch.nn as nn
from detectron2.layers import ShapeSpec
__all__ = ["Backbone"]
class Backbone(nn.Module, metaclass=ABCMeta):
"""
Abstract base class for network backbones.
"""
de... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/backbone/resnet.py | detectron2/modeling/backbone/resnet.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.layers import (
CNNBlockBase,
Conv2d,
DeformConv,
ModulatedDeformConv,
ShapeSpec,
get_norm,
)
from... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/backbone/utils.py | detectron2/modeling/backbone/utils.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
__all__ = [
"window_partition",
"window_unpartition",
"add_decomposed_rel_pos",
"get_abs_pos",
"PatchEmbed",
]
def window_partition(x, window_size)... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/backbone/__init__.py | detectron2/modeling/backbone/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
from .build import build_backbone, BACKBONE_REGISTRY # noqa F401 isort:skip
from .backbone import Backbone
from .fpn import FPN
from .regnet import RegNet
from .resnet import (
BasicStem,
ResNet,
ResNetBlockBase,
build_resnet_backbone,
make_stage,... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/backbone/fpn.py | detectron2/modeling/backbone/fpn.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.layers import Conv2d, ShapeSpec, get_norm
from .backbone import Backbone
from .build import BACKBONE_REGISTRY
from .resnet import... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/backbone/swin.py | detectron2/modeling/backbone/swin.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Implementation of Swin models from :paper:`swin`.
This code is adapted from https://github.com/SwinTransformer/Swin-Transformer-Object-Detection/blob/master/mmdet/models/backbones/swin_transformer.py with minimal modifications. # noqa
--------... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/modeling/backbone/regnet.py | detectron2/modeling/backbone/regnet.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Implementation of RegNet models from :paper:`dds` and :paper:`scaling`.
This code is adapted from https://github.com/facebookresearch/pycls with minimal modifications.
Some code duplication exists between RegNet and ResNets (e.g., ResStem) in o... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/roi_align_rotated.py | detectron2/layers/roi_align_rotated.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from detectron2.layers.wrappers import disable_torch_compiler
class _ROIAlignRotated(Function):
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/rotated_boxes.py | detectron2/layers/rotated_boxes.py | # Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import absolute_import, division, print_function, unicode_literals
import torch
def pairwise_iou_rotated(boxes1, boxes2):
"""
Return intersection-over-union (Jaccard index) of boxes.
Both sets of boxes are expected to be in
(x_center,... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/blocks.py | detectron2/layers/blocks.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import fvcore.nn.weight_init as weight_init
from torch import nn
from .batch_norm import FrozenBatchNorm2d, get_norm
from .wrappers import Conv2d
"""
CNN building blocks.
"""
class CNNBlockBase(nn.Module):
"""
A CNN block is assume... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/mask_ops.py | detectron2/layers/mask_ops.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Tuple
import torch
from PIL import Image
from torch.nn import functional as F
__all__ = ["paste_masks_in_image"]
BYTES_PER_FLOAT = 4
# TODO: This memory limit may be too much or too little. It would be better to
# determine it b... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/wrappers.py | detectron2/layers/wrappers.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
Wrappers around on some nn functions, mainly to support empty tensors.
Ideally, add support directly in PyTorch to empty tensors in those functions.
These can be removed once https://github.com/pytorch/pytorch/issues/12013
is implemented
"""
import functools
imp... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/batch_norm.py | detectron2/layers/batch_norm.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
import torch.distributed as dist
from fvcore.nn.distributed import differentiable_all_reduce
from torch import nn
from torch.nn import functional as F
from detectron2.utils import comm, env
from .wrappers import BatchNorm2d
class FrozenBatchNorm2d(nn.M... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/roi_align.py | detectron2/layers/roi_align.py | # Copyright (c) Facebook, Inc. and its affiliates.
from torch import nn
from torchvision.ops import roi_align
# NOTE: torchvision's RoIAlign has a different default aligned=False
class ROIAlign(nn.Module):
def __init__(self, output_size, spatial_scale, sampling_ratio, aligned=True):
"""
Args:
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/deform_conv.py | detectron2/layers/deform_conv.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from functools import lru_cache
import torch
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
from torchvision.ops import deform_conv2d
from detectron2... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/losses.py | detectron2/layers/losses.py | import math
import torch
def diou_loss(
boxes1: torch.Tensor,
boxes2: torch.Tensor,
reduction: str = "none",
eps: float = 1e-7,
) -> torch.Tensor:
"""
Distance Intersection over Union Loss (Zhaohui Zheng et. al)
https://arxiv.org/abs/1911.08287
Args:
boxes1, boxes2 (Tensor): bo... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/__init__.py | detectron2/layers/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
from .batch_norm import FrozenBatchNorm2d, get_norm, NaiveSyncBatchNorm, CycleBatchNormList
from .deform_conv import DeformConv, ModulatedDeformConv
from .mask_ops import paste_masks_in_image
from .nms import batched_nms, batched_nms_rotated, nms, nms_rotated
from .roi... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/shape_spec.py | detectron2/layers/shape_spec.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import dataclass
from typing import Optional
@dataclass
class ShapeSpec:
"""
A simple structure that contains basic shape specification about a tensor.
It is often used as the auxiliary inputs/outputs of models,
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/aspp.py | detectron2/layers/aspp.py | # Copyright (c) Facebook, Inc. and its affiliates.
from copy import deepcopy
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from .batch_norm import get_norm
from .blocks import DepthwiseSeparableConv2d
from .wrappers import Conv2d
class ASPP(nn.Mod... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/layers/nms.py | detectron2/layers/nms.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torchvision.ops import boxes as box_ops
from torchvision.ops import nms # noqa . for compatibility
from detectron2.layers.wrappers import disable_torch_compiler
def batched_nms(
boxes: torch.Tensor, scores: torch.Tenso... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/config/instantiate.py | detectron2/config/instantiate.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections.abc as abc
import dataclasses
import logging
from typing import Any
from detectron2.utils.registry import _convert_target_to_string, locate
__all__ = ["dump_dataclass", "instantiate"]
def dump_dataclass(obj: Any):
"""
Dump a dataclass re... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/config/defaults.py | detectron2/config/defaults.py | # Copyright (c) Facebook, Inc. and its affiliates.
from .config import CfgNode as CN
# NOTE: given the new config system
# (https://detectron2.readthedocs.io/en/latest/tutorials/lazyconfigs.html),
# we will stop adding new functionalities to default CfgNode.
# ---------------------------------------------------------... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/config/compat.py | detectron2/config/compat.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
Backward compatibility of configs.
Instructions to bump version:
+ It's not needed to bump version if new keys are added.
It's only needed when backward-incompatible changes happen
(i.e., some existing keys disappear, or the meaning of a key changes)
+ To bump... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/config/lazy.py | detectron2/config/lazy.py | # Copyright (c) Facebook, Inc. and its affiliates.
import ast
import builtins
import collections.abc as abc
import importlib
import inspect
import logging
import os
import uuid
from contextlib import contextmanager
from copy import deepcopy
from dataclasses import is_dataclass
from typing import List, Tuple, Union
imp... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/config/config.py | detectron2/config/config.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import functools
import inspect
import logging
from fvcore.common.config import CfgNode as _CfgNode
from detectron2.utils.file_io import PathManager
class CfgNode(_CfgNode):
"""
The same as `fvcore.common.config.CfgNode`, but differe... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/config/__init__.py | detectron2/config/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
from .compat import downgrade_config, upgrade_config
from .config import CfgNode, get_cfg, global_cfg, set_global_cfg, configurable
from .instantiate import instantiate
from .lazy import LazyCall, LazyConfig
__all__ = [
"CfgNode",
"get_cfg",
"global_cfg",
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/export/api.py | detectron2/export/api.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import os
import torch
from caffe2.proto import caffe2_pb2
from torch import nn
from detectron2.config import CfgNode
from detectron2.utils.file_io import PathManager
from .caffe2_inference import ProtobufDetectionModel
from .caffe2_modelin... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/export/caffe2_modeling.py | detectron2/export/caffe2_modeling.py | # Copyright (c) Facebook, Inc. and its affiliates.
import functools
import io
import struct
import types
import torch
from detectron2.modeling import meta_arch
from detectron2.modeling.box_regression import Box2BoxTransform
from detectron2.modeling.roi_heads import keypoint_head
from detectron2.structures import Boxe... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/export/c10.py | detectron2/export/c10.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import Dict
import torch
import torch.nn.functional as F
from detectron2.layers import ShapeSpec, cat
from detectron2.layers.roi_align_rotated import ROIAlignRotated
from detectron2.modeling import poolers
from detectron2.modeling.proposal_gen... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/export/torchscript.py | detectron2/export/torchscript.py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
import torch
from detectron2.utils.file_io import PathManager
from .torchscript_patch import freeze_training_mode, patch_instances
__all__ = ["scripting_with_instances", "dump_torchscript_IR"]
def scripting_with_instances(model, fields):
"""
Run... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/export/shared.py | detectron2/export/shared.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
import copy
import functools
import logging
import numpy as np
import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
from unittest import mock
import caffe2.python.utils as putils
import torch
import torch.nn.functional as F... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | true |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/export/caffe2_inference.py | detectron2/export/caffe2_inference.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from itertools import count
import torch
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from .caffe2_modeling import META_ARCH_CAFFE2_EXPORT_TYPE_MAP, convert_batched_inputs_to_c2_format
from .shared import Scoped... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/export/__init__.py | detectron2/export/__init__.py | # -*- coding: utf-8 -*-
import warnings
from .flatten import TracingAdapter
from .torchscript import dump_torchscript_IR, scripting_with_instances
try:
from caffe2.proto import caffe2_pb2 as _tmp
from caffe2.python import core
# caffe2 is optional
except ImportError:
pass
else:
from .api import ... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/export/caffe2_export.py | detectron2/export/caffe2_export.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import io
import logging
import numpy as np
from typing import List
import onnx
import onnx.optimizer
import torch
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from caffe2.python.onnx.backend import Caffe2Backend
from tabulate import ... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/export/torchscript_patch.py | detectron2/export/torchscript_patch.py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
import sys
import tempfile
from contextlib import ExitStack, contextmanager
from copy import deepcopy
from unittest import mock
import torch
from torch import nn
# need some explicit imports due to https://github.com/pytorch/pytorch/issues/38964
import dete... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/export/caffe2_patch.py | detectron2/export/caffe2_patch.py | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
from unittest import mock
import torch
from detectron2.modeling import poolers
from detectron2.modeling.proposal_generator import rpn
from detectron2.modeling.roi_heads import keypoint_head, mask_head
from detectron2.modeling.roi_heads.fast_rcnn imp... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/export/flatten.py | detectron2/export/flatten.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
from dataclasses import dataclass
from typing import Callable, List, Optional, Tuple
import torch
from torch import nn
from detectron2.structures import Boxes, Instances, ROIMasks
from detectron2.utils.registry import _convert_target_to_string, loca... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/checkpoint/c2_model_loading.py | detectron2/checkpoint/c2_model_loading.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import re
from typing import Dict, List
import torch
def convert_basic_c2_names(original_keys):
"""
Apply some basic name conversion to names in C2 weights.
It only deals with typical backbone models.
Args:
original... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/checkpoint/catalog.py | detectron2/checkpoint/catalog.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from detectron2.utils.file_io import PathHandler, PathManager
class ModelCatalog:
"""
Store mappings from names to third-party models.
"""
S3_C2_DETECTRON_PREFIX = "https://dl.fbaipublicfiles.com/detectron"
# MSRA models have STR... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/checkpoint/__init__.py | detectron2/checkpoint/__init__.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
# File:
from . import catalog as _UNUSED # register the handler
from .detection_checkpoint import DetectionCheckpointer
from fvcore.common.checkpoint import Checkpointer, PeriodicCheckpointer
__all__ = ["Checkpointer", "PeriodicCheckpointer"... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/checkpoint/detection_checkpoint.py | detectron2/checkpoint/detection_checkpoint.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import os
import pickle
from urllib.parse import parse_qs, urlparse
import torch
from fvcore.common.checkpoint import Checkpointer
from torch.nn.parallel import DistributedDataParallel
import detectron2.utils.comm as comm
from detectron2.utils.file_io i... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/common.py | detectron2/data/common.py | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import copy
import itertools
import logging
import numpy as np
import pickle
import random
from typing import Callable, Union
import torch
import torch.utils.data as data
from torch.utils.data.sampler import Sampler
from detectron2.utils.serialize im... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/dataset_mapper.py | detectron2/data/dataset_mapper.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import numpy as np
from typing import List, Optional, Union
import torch
from detectron2.config import configurable
from . import detection_utils as utils
from . import transforms as T
"""
This file contains the default mapping that's appl... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/build.py | detectron2/data/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import logging
import numpy as np
import operator
import pickle
from collections import OrderedDict, defaultdict
from typing import Any, Callable, Dict, List, Optional, Union
import torch
import torch.utils.data as torchdata
from tabulate import tabula... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/catalog.py | detectron2/data/catalog.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import types
from collections import UserDict
from typing import List
from detectron2.utils.logger import log_first_n
__all__ = ["DatasetCatalog", "MetadataCatalog", "Metadata"]
class _DatasetCatalog(UserDict):
"""
A global dictio... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/detection_utils.py | detectron2/data/detection_utils.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Common data processing utilities that are used in a
typical object detection data pipeline.
"""
import logging
import numpy as np
from typing import List, Union
import pycocotools.mask as mask_util
import torch
from PIL import Image
from d... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/benchmark.py | detectron2/data/benchmark.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from itertools import count
from typing import List, Tuple
import torch
import tqdm
from fvcore.common.timer import Timer
from detectron2.utils import comm
from .build import build_batch_data_loader
from .common import DatasetFromLis... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/__init__.py | detectron2/data/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
from . import transforms # isort:skip
from .build import (
build_batch_data_loader,
build_detection_test_loader,
build_detection_train_loader,
get_detection_dataset_dicts,
load_proposals_into_dataset,
print_instances_class_histogram,
)
from .c... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/transforms/transform.py | detectron2/data/transforms/transform.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
See "Data Augmentation" tutorial for an overview of the system:
https://detectron2.readthedocs.io/tutorials/augmentation.html
"""
import numpy as np
import torch
import torch.nn.functional as F
from fvcore.transforms.transform import (
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/transforms/augmentation_impl.py | detectron2/data/transforms/augmentation_impl.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Implement many useful :class:`Augmentation`.
"""
import numpy as np
import sys
from numpy import random
from typing import Tuple
import torch
from fvcore.transforms.transform import (
BlendTransform,
CropTransform,
HFlipTransform... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/transforms/augmentation.py | detectron2/data/transforms/augmentation.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import inspect
import numpy as np
import pprint
from typing import Any, List, Optional, Tuple, Union
from fvcore.transforms.transform import Transform, TransformList
"""
See "Data Augmentation" tutorial for an overview of the system:
https://d... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/transforms/__init__.py | detectron2/data/transforms/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
from fvcore.transforms.transform import Transform, TransformList # order them first
from fvcore.transforms.transform import *
from .transform import *
from .augmentation import *
from .augmentation_impl import *
__all__ = [k for k in globals().keys() if not k.startsw... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/coco_panoptic.py | detectron2/data/datasets/coco_panoptic.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import json
import os
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.utils.file_io import PathManager
from .coco import load_coco_json, load_sem_seg
__all__ = ["register_coco_panoptic", "register_coco_panoptic_separated"]
d... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/builtin.py | detectron2/data/datasets/builtin.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
This file registers pre-defined datasets at hard-coded paths, and their metadata.
We hard-code metadata for common datasets. This will enable:
1. Consistency check when loading the datasets
2. Use models on these standard datasets directl... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/coco.py | detectron2/data/datasets/coco.py | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import datetime
import io
import json
import logging
import numpy as np
import os
import shutil
import pycocotools.mask as mask_util
from fvcore.common.timer import Timer
from iopath.common.file_io import file_lock
from PIL import Image
from detectro... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/pascal_voc.py | detectron2/data/datasets/pascal_voc.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import os
import xml.etree.ElementTree as ET
from typing import List, Tuple, Union
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.structures import BoxMode
from detectron2.utils.file_io import Pa... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/register_coco.py | detectron2/data/datasets/register_coco.py | # Copyright (c) Facebook, Inc. and its affiliates.
from .coco import register_coco_instances # noqa
from .coco_panoptic import register_coco_panoptic_separated # noqa
| python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/lvis_v1_category_image_count.py | detectron2/data/datasets/lvis_v1_category_image_count.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Autogen with
# with open("lvis_v1_train.json", "r") as f:
# a = json.load(f)
# c = a["categories"]
# for x in c:
# del x["name"]
# del x["instance_count"]
# del x["def"]
# del x["synonyms"]
# del x["frequency"]
# del x["synset"]
# LVIS_CATEGORY_IMAGE_COUNT = repr... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | true |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/lvis.py | detectron2/data/datasets/lvis.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import os
from fvcore.common.timer import Timer
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.structures import BoxMode
from detectron2.utils.file_io import PathManager
from .builtin_meta import _get_coco_instances_meta
fr... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/cityscapes.py | detectron2/data/datasets/cityscapes.py | # Copyright (c) Facebook, Inc. and its affiliates.
import functools
import json
import logging
import multiprocessing as mp
import numpy as np
import os
from itertools import chain
import pycocotools.mask as mask_util
from PIL import Image
from detectron2.structures import BoxMode
from detectron2.utils.comm import get... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/cityscapes_panoptic.py | detectron2/data/datasets/cityscapes_panoptic.py | # Copyright (c) Facebook, Inc. and its affiliates.
import json
import logging
import os
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.data.datasets.builtin_meta import CITYSCAPES_CATEGORIES
from detectron2.utils.file_io import PathManager
"""
This file contains functions to register the ... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/__init__.py | detectron2/data/datasets/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
from .coco import load_coco_json, load_sem_seg, register_coco_instances, convert_to_coco_json
from .coco_panoptic import register_coco_panoptic, register_coco_panoptic_separated
from .lvis import load_lvis_json, register_lvis_instances, get_lvis_instances_meta
from .pa... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/lvis_v0_5_categories.py | detectron2/data/datasets/lvis_v0_5_categories.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Autogen with
# with open("lvis_v0.5_val.json", "r") as f:
# a = json.load(f)
# c = a["categories"]
# for x in c:
# del x["image_count"]
# del x["instance_count"]
# LVIS_CATEGORIES = repr(c) + " # noqa"
# fmt: off
| python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | true |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/builtin_meta.py | detectron2/data/datasets/builtin_meta.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Note:
For your custom dataset, there is no need to hard-code metadata anywhere in the code.
For example, for COCO-format dataset, metadata will be obtained automatically
when calling `load_coco_json`. For other dataset, metadata may also be... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/datasets/lvis_v1_categories.py | detectron2/data/datasets/lvis_v1_categories.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Autogen with
# with open("lvis_v1_val.json", "r") as f:
# a = json.load(f)
# c = a["categories"]
# for x in c:
# del x["image_count"]
# del x["instance_count"]
# LVIS_CATEGORIES = repr(c) + " # noqa"
# with open("/tmp/lvis_categories.py", "wt") as f:
# ... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | true |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/samplers/grouped_batch_sampler.py | detectron2/data/samplers/grouped_batch_sampler.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from torch.utils.data.sampler import BatchSampler, Sampler
class GroupedBatchSampler(BatchSampler):
"""
Wraps another sampler to yield a mini-batch of indices.
It enforces that the batch only contain elements from the same group.
It... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/samplers/distributed_sampler.py | detectron2/data/samplers/distributed_sampler.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import logging
import math
from collections import defaultdict
from typing import Optional
import torch
from torch.utils.data.sampler import Sampler
from detectron2.utils import comm
logger = logging.getLogger(__name__)
class TrainingSampler(Sample... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/data/samplers/__init__.py | detectron2/data/samplers/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
from .distributed_sampler import (
InferenceSampler,
RandomSubsetTrainingSampler,
RepeatFactorTrainingSampler,
TrainingSampler,
)
from .grouped_batch_sampler import GroupedBatchSampler
__all__ = [
"GroupedBatchSampler",
"TrainingSampler",
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/engine/defaults.py | detectron2/engine/defaults.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
"""
This file contains components with some default boilerplate logic user may need
in training / testing. They will not work for everyone, but many users may find them useful.
The behavior of functions/classes in this file is subject to chang... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/engine/__init__.py | detectron2/engine/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
from .launch import *
from .train_loop import *
__all__ = [k for k in globals().keys() if not k.startswith("_")]
# prefer to let hooks and defaults live in separate namespaces (therefore not in __all__)
# but still make them available here
from .hooks import *
from... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/engine/launch.py | detectron2/engine/launch.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from datetime import timedelta
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from detectron2.utils import comm
__all__ = ["DEFAULT_TIMEOUT", "launch"]
DEFAULT_TIMEOUT = timedelta(minutes=30)
def _find_free_port():
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/engine/train_loop.py | detectron2/engine/train_loop.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import concurrent.futures
import logging
import numpy as np
import time
import weakref
from typing import List, Mapping, Optional
import torch
from torch.nn.parallel import DataParallel, DistributedDataParallel
import detectron2.utils.comm as c... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/engine/hooks.py | detectron2/engine/hooks.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import datetime
import itertools
import logging
import math
import operator
import os
import tempfile
import time
import warnings
from collections import Counter
import torch
from fvcore.common.checkpoint import Checkpointer
from fvcore.common.... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/projects/__init__.py | detectron2/projects/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
import importlib.abc
import importlib.util
from pathlib import Path
__all__ = []
_PROJECTS = {
"point_rend": "PointRend",
"deeplab": "DeepLab",
"panoptic_deeplab": "Panoptic-DeepLab",
}
_PROJECT_ROOT = Path(__file__).resolve().parent.parent.parent / "proj... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/model_zoo/model_zoo.py | detectron2/model_zoo/model_zoo.py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
from typing import Optional
import pkg_resources
import torch
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import CfgNode, LazyConfig, get_cfg, instantiate
from detectron2.modeling import build_model
class _ModelZooUrls:
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/model_zoo/__init__.py | detectron2/model_zoo/__init__.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
Model Zoo API for Detectron2: a collection of functions to create common model architectures
listed in `MODEL_ZOO.md <https://github.com/facebookresearch/detectron2/blob/main/MODEL_ZOO.md>`_,
and optionally load their pre-trained weights.
"""
from .model_zoo impor... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/evaluation/lvis_evaluation.py | detectron2/evaluation/lvis_evaluation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import itertools
import json
import logging
import os
import pickle
from collections import OrderedDict
import torch
import detectron2.utils.comm as comm
from detectron2.config import CfgNode
from detectron2.data import MetadataCatalog
from detectron2.stru... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/evaluation/testing.py | detectron2/evaluation/testing.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import pprint
import sys
from collections.abc import Mapping
def print_csv_format(results):
"""
Print main metrics in a format similar to Detectron,
so that they are easy to copypaste into a spreadsheet.
Args:
... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/evaluation/coco_evaluation.py | detectron2/evaluation/coco_evaluation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import copy
import io
import itertools
import json
import logging
import numpy as np
import os
import pickle
from collections import OrderedDict
import pycocotools.mask as mask_util
import torch
from pycocotools.coco import COCO
from pycocotools.cocoe... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/evaluation/evaluator.py | detectron2/evaluation/evaluator.py | # Copyright (c) Facebook, Inc. and its affiliates.
import datetime
import logging
import time
from collections import OrderedDict, abc
from contextlib import ExitStack, contextmanager
from typing import List, Union
import torch
from torch import nn
from detectron2.utils.comm import get_world_size, is_main_process
from... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/evaluation/rotated_coco_evaluation.py | detectron2/evaluation/rotated_coco_evaluation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import json
import numpy as np
import os
import torch
from pycocotools.cocoeval import COCOeval, maskUtils
from detectron2.structures import BoxMode, RotatedBoxes, pairwise_iou_rotated
from detectron2.utils.file_io import PathManager
from .coco_evalu... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
facebookresearch/detectron2 | https://github.com/facebookresearch/detectron2/blob/fd27788985af0f4ca800bca563acdb700bb890e2/detectron2/evaluation/sem_seg_evaluation.py | detectron2/evaluation/sem_seg_evaluation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import json
import logging
import numpy as np
import os
from collections import OrderedDict
from typing import Optional, Union
import pycocotools.mask as mask_util
import torch
from PIL import Image
from detectron2.data import DatasetCatalog, Metadata... | python | Apache-2.0 | fd27788985af0f4ca800bca563acdb700bb890e2 | 2026-01-04T14:42:35.134676Z | false |
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