repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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direct-ie | direct-ie-master/code/batch_loader.py | import os
import torch
import json
import logging
import re
from random import shuffle
from tqdm import tqdm
from collections import OrderedDict, defaultdict
from config import args
from bert import BertTokenizer
from torch.nn.utils.rnn import pack_sequence
from torch.utils.data import TensorDataset, DataLoader, Rand... | 10,717 | 43.845188 | 156 | py |
direct-ie | direct-ie-master/code/model.py | import torch
from torch import nn
from copy import deepcopy
from collections import OrderedDict
from torch.nn.functional import binary_cross_entropy_with_logits
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, ModuleList
from bert import BertPreTrainedModel, BertModel
from utils import RunningAverage, Running... | 5,189 | 48.428571 | 125 | py |
direct-ie | direct-ie-master/code/bert/optimization.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICEN... | 8,784 | 43.593909 | 141 | py |
direct-ie | direct-ie-master/code/bert/modeling.py | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | 59,528 | 48.03542 | 171 | py |
direct-ie | direct-ie-master/code/bert/file_utils.py | """
Utilities for working with the local dataset cache.
This file is adapted from the AllenNLP library at https://github.com/allenai/allennlp
Copyright by the AllenNLP authors.
"""
from __future__ import (absolute_import, division, print_function, unicode_literals)
import json
import logging
import os
import shutil
im... | 8,359 | 32.043478 | 112 | py |
YOSO | YOSO-main/setup.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import glob
import os
import shutil
from os import path
from setuptools import find_packages, setup
from typing import List
import torch
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
from torch.u... | 6,925 | 32.95098 | 97 | py |
YOSO | YOSO-main/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 get_cfg
from detectron2.modeling import build_model
class _ModelZooUrls(object):
"""
Mapping from na... | 9,182 | 52.080925 | 118 | py |
YOSO | YOSO-main/detectron2/solver/lr_scheduler.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from bisect import bisect_right
from typing import List
import torch
# NOTE: PyTorch's LR scheduler interface uses names that assume the LR changes
# only on epoch boundaries. We typically use iteration based schedules instead.
# As a result, "epoch" (e.g.... | 4,134 | 34.34188 | 98 | py |
YOSO | YOSO-main/detectron2/solver/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
from enum import Enum
from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Type, Union
import torch
from detectron2.config import CfgNode
from .lr_scheduler import WarmupCosineLR, WarmupMultiStepLR
_GradientClipperInput = Union[tor... | 7,973 | 34.598214 | 94 | py |
YOSO | YOSO-main/detectron2/evaluation/panoptic_evaluation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import io
import itertools
import json
import logging
import numpy as np
import os
import tempfile
from collections import OrderedDict
from typing import Optional
from PIL import Image
from tabulate import tabulate
from detectron2.data import Metadat... | 7,579 | 36.339901 | 100 | py |
YOSO | YOSO-main/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.data import MetadataCatalog
from detectron2.structures import Boxes, BoxMode, pairwise... | 13,740 | 38.148148 | 150 | py |
YOSO | YOSO-main/detectron2/evaluation/cityscapes_evaluation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import glob
import logging
import numpy as np
import os
import tempfile
from collections import OrderedDict
import torch
from PIL import Image
from detectron2.data import MetadataCatalog
from detectron2.utils import comm
from detectron2.utils.file_io import PathManage... | 8,214 | 41.128205 | 139 | py |
YOSO | YOSO-main/detectron2/evaluation/evaluator.py | # Copyright (c) Facebook, Inc. and its affiliates.
import datetime
import logging
import time
from collections import OrderedDict
from contextlib import contextmanager
import torch
from detectron2.utils.comm import get_world_size, is_main_process
from detectron2.utils.logger import log_every_n_seconds
class DatasetE... | 6,940 | 34.233503 | 98 | py |
YOSO | YOSO-main/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
import PIL.Image as Image
import pycocotools.mask as mask_util
import torch
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.utils.c... | 7,584 | 41.374302 | 100 | py |
YOSO | YOSO-main/detectron2/evaluation/pascal_voc_evaluation.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import os
import tempfile
import xml.etree.ElementTree as ET
from collections import OrderedDict, defaultdict
from functools import lru_cache
import torch
from detectron2.data import MetadataCatalog
from detec... | 10,680 | 35.084459 | 99 | py |
YOSO | YOSO-main/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... | 7,573 | 35.413462 | 94 | py |
YOSO | YOSO-main/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... | 23,876 | 39.885274 | 168 | py |
YOSO | YOSO-main/detectron2/checkpoint/c2_model_loading.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import re
import torch
from fvcore.common.checkpoint import (
get_missing_parameters_message,
get_unexpected_parameters_message,
)
def convert_basic_c2_names(original_keys):
"""
Apply some basic name conversion to names in C... | 14,770 | 46.041401 | 99 | py |
YOSO | YOSO-main/detectron2/checkpoint/detection_checkpoint.py | # Copyright (c) Facebook, Inc. and its affiliates.
import pickle
from fvcore.common.checkpoint import Checkpointer
import detectron2.utils.comm as comm
from detectron2.utils.file_io import PathManager
from .c2_model_loading import align_and_update_state_dicts
class DetectionCheckpointer(Checkpointer):
"""
S... | 3,538 | 40.151163 | 91 | py |
YOSO | YOSO-main/detectron2/layers/nms.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from torchvision.ops import boxes as box_ops
from torchvision.ops import nms # BC-compat
def batched_nms(
boxes: torch.Tensor, scores: torch.Tensor, idxs: torch.Tensor, iou_threshold: float
):
"""... | 6,802 | 43.756579 | 98 | py |
YOSO | YOSO-main/detectron2/layers/batch_norm.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import torch
import torch.distributed as dist
from torch import nn
from torch.autograd.function import Function
from torch.nn import functional as F
from detectron2.utils import comm, env
from .wrappers import BatchNorm2d
class FrozenBatchNorm2d(nn.M... | 9,951 | 39.786885 | 99 | py |
YOSO | YOSO-main/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... | 16,324 | 31.51992 | 99 | py |
YOSO | YOSO-main/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 .wrappers import Conv2d
class ASPP(nn.Module):
"""
Atrous Spatial Pyramid Pool... | 4,902 | 37.912698 | 137 | py |
YOSO | YOSO-main/detectron2/layers/roi_align.py | # Copyright (c) Facebook, Inc. and its affiliates.
from torch import nn
from torchvision.ops import roi_align as tv_roi_align
try:
from torchvision import __version__
version = tuple(int(x) for x in __version__.split(".")[:2])
USE_TORCHVISION = version >= (0, 7) # https://github.com/pytorch/vision/pull/2... | 4,689 | 37.130081 | 98 | py |
YOSO | YOSO-main/detectron2/layers/shape_spec.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
from collections import namedtuple
class ShapeSpec(namedtuple("_ShapeSpec", ["channels", "height", "width", "stride"])):
"""
A simple structure that contains basic shape specification about a tensor.
It is often used as the auxilia... | 664 | 30.666667 | 85 | py |
YOSO | YOSO-main/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
"""
from typing import L... | 4,163 | 31.27907 | 97 | py |
YOSO | YOSO-main/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
from detectron2.structures import Boxes
__all__ = ["paste_masks_in_image"]
BYTES_PER_FLOAT = 4
# TODO: This memory limit may be too much or too littl... | 10,307 | 38.494253 | 97 | py |
YOSO | YOSO-main/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 import _C
class _ROIAlignRotated(Function):
@staticmethod
def forward(ctx, ... | 3,293 | 34.042553 | 90 | py |
YOSO | YOSO-main/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... | 2,973 | 26.036364 | 82 | py |
YOSO | YOSO-main/detectron2/export/torchscript_patch.py | # Copyright (c) Facebook, Inc. and its affiliates.
import importlib.util
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/is... | 9,274 | 26.440828 | 97 | py |
YOSO | YOSO-main/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 torch
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from caffe2.python.onnx.backend import Caffe2Backend
from tabulate import tabulate
from termcolo... | 7,803 | 36.519231 | 100 | py |
YOSO | YOSO-main/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 patch_instances, patch_nonscriptable_classes
def export_torchscript_with_instances(model, fields):
"""
Run :func:`torch.jit.script` on a model that uses ... | 4,567 | 36.442623 | 98 | py |
YOSO | YOSO-main/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.meta_arch.panoptic_fpn import combine_semantic_and_instance_outputs
f... | 21,179 | 40.775148 | 100 | py |
YOSO | YOSO-main/detectron2/export/c10.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
import torch
import torch.nn.functional as F
from detectron2.layers import cat
from detectron2.layers.roi_align_rotated import ROIAlignRotated
from detectron2.modeling import poolers
from detectron2.modeling.proposal_generator import rpn
from detectron2.m... | 20,484 | 38.699612 | 100 | py |
YOSO | YOSO-main/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 as CN
from detectron2.utils.file_io import PathManager
from .caffe2_inference import ProtobufDetectionModel
from .caffe2_m... | 10,773 | 35.033445 | 98 | py |
YOSO | YOSO-main/detectron2/export/shared.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
import contextlib
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.... | 38,077 | 35.790338 | 99 | py |
YOSO | YOSO-main/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... | 5,033 | 31.901961 | 100 | py |
YOSO | YOSO-main/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... | 6,653 | 40.074074 | 98 | py |
YOSO | YOSO-main/detectron2/engine/hooks.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import datetime
import itertools
import logging
import os
import tempfile
import time
from collections import Counter
import torch
from fvcore.common.checkpoint import PeriodicCheckpointer as _PeriodicCheckpointer
from fvcore.common.timer impor... | 15,622 | 34.750572 | 100 | py |
YOSO | YOSO-main/detectron2/engine/launch.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from detectron2.utils import comm
__all__ = ["launch"]
def _find_free_port():
import socket
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# Bindi... | 3,621 | 37.126316 | 100 | py |
YOSO | YOSO-main/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... | 24,716 | 37.620313 | 100 | py |
YOSO | YOSO-main/detectron2/engine/train_loop.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import time
import weakref
from typing import Dict
import torch
from torch.nn.parallel import DataParallel, DistributedDataParallel
import detectron2.utils.comm as comm
from detectron2.utils.events import Even... | 11,536 | 33.234421 | 96 | py |
YOSO | YOSO-main/detectron2/utils/events.py | # Copyright (c) Facebook, Inc. and its affiliates.
import datetime
import json
import logging
import os
import time
from collections import defaultdict
from contextlib import contextmanager
import torch
from fvcore.common.history_buffer import HistoryBuffer
from detectron2.utils.file_io import PathManager
__all__ = [... | 16,466 | 33.594538 | 99 | py |
YOSO | YOSO-main/detectron2/utils/memory.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from contextlib import contextmanager
from functools import wraps
import torch
__all__ = ["retry_if_cuda_oom"]
@contextmanager
def _ignore_torch_cuda_oom():
"""
A context which ignores CUDA OOM exception from pytorch.
"""
try:
... | 2,583 | 29.4 | 95 | py |
YOSO | YOSO-main/detectron2/utils/comm.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
This file contains primitives for multi-gpu communication.
This is useful when doing distributed training.
"""
import functools
import logging
import numpy as np
import pickle
import torch
import torch.distributed as dist
_LOCAL_PROCESS_GROUP = None
"""
A torch p... | 7,730 | 28.284091 | 100 | py |
YOSO | YOSO-main/detectron2/utils/testing.py | import numpy as np
import torch
from detectron2 import model_zoo
from detectron2.data import DatasetCatalog
from detectron2.data.detection_utils import read_image
from detectron2.modeling import build_model
from detectron2.structures import Boxes
from detectron2.utils.file_io import PathManager
"""
Internal utilitie... | 3,265 | 33.020833 | 85 | py |
YOSO | YOSO-main/detectron2/utils/logger.py | # Copyright (c) Facebook, Inc. and its affiliates.
import atexit
import functools
import logging
import os
import sys
import time
import torch
from collections import Counter
from tabulate import tabulate
from termcolor import colored
from detectron2.utils.file_io import PathManager
class _ColorfulFormatter(logging.... | 7,633 | 31.485106 | 94 | py |
YOSO | YOSO-main/detectron2/utils/collect_env.py | # Copyright (c) Facebook, Inc. and its affiliates.
import importlib
import numpy as np
import os
import re
import subprocess
import sys
from collections import defaultdict
import PIL
import torch
import torchvision
from tabulate import tabulate
__all__ = ["collect_env_info"]
def collect_torch_env():
try:
... | 6,708 | 33.229592 | 96 | py |
YOSO | YOSO-main/detectron2/utils/analysis.py | # Copyright (c) Facebook, Inc. and its affiliates.
# -*- coding: utf-8 -*-
import logging
import typing
import torch
from fvcore.nn import activation_count, flop_count, parameter_count, parameter_count_table
from torch import nn
from detectron2.structures import BitMasks, Boxes, ImageList, Instances
from .logger imp... | 5,328 | 31.693252 | 96 | py |
YOSO | YOSO-main/detectron2/utils/visualizer.py | # Copyright (c) Facebook, Inc. and its affiliates.
import colorsys
import logging
import math
import numpy as np
from enum import Enum, unique
import cv2
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import pycocotools.mask as mask_util
import torch
from matplotlib.back... | 49,165 | 39.599505 | 188 | py |
YOSO | YOSO-main/detectron2/utils/env.py | # Copyright (c) Facebook, Inc. and its affiliates.
import importlib
import importlib.util
import logging
import numpy as np
import os
import random
import sys
from datetime import datetime
import torch
__all__ = ["seed_all_rng"]
TORCH_VERSION = tuple(int(x) for x in torch.__version__.split(".")[:2])
"""
PyTorch vers... | 4,002 | 30.769841 | 93 | py |
YOSO | YOSO-main/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... | 8,111 | 42.148936 | 100 | py |
YOSO | YOSO-main/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
import pycocotools.mask as mask_util
import torch
from PIL import Image
from detectron2.structures import (
... | 21,075 | 34.303183 | 105 | py |
YOSO | YOSO-main/detectron2/data/common.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import itertools
import logging
import numpy as np
import pickle
import random
import torch.utils.data as data
from torch.utils.data.sampler import Sampler
from detectron2.utils.serialize import PicklableWrapper
__all__ = ["MapDataset", "DatasetFromList",... | 9,026 | 36.301653 | 99 | py |
YOSO | YOSO-main/detectron2/data/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import logging
import numpy as np
import operator
import pickle
import torch
import torch.utils.data as torchdata
from tabulate import tabulate
from termcolor import colored
from detectron2.config import configurable
from detectron2.structures import ... | 20,299 | 37.301887 | 100 | py |
YOSO | YOSO-main/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
LVIS_CATEGORIES = [{'frequency': 'r', 'i... | 223,757 | 15,981.714286 | 223,466 | py |
YOSO | YOSO-main/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:
# ... | 219,177 | 12,891.823529 | 218,738 | py |
YOSO | YOSO-main/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... | 1,944 | 39.520833 | 98 | py |
YOSO | YOSO-main/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... | 11,789 | 41.258065 | 100 | py |
YOSO | YOSO-main/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 typing import Tuple
import torch
from fvcore.transforms.transform import (
BlendTransform,
CropTransform,
HFlipTransform,
NoOpTransform,
... | 23,058 | 37.177152 | 101 | py |
YOSO | YOSO-main/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 (
... | 12,629 | 34.880682 | 97 | py |
YOSO | YOSO-main/detectron2/modeling/box_regression.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import Tuple
import torch
# Value for clamping large dw and dh predictions. The heuristic is that we clamp
# such that dw and dh are no larger than what would transform a 16px box into a
# 1000px box (based on a small anchor, 16px, and a typica... | 9,160 | 40.080717 | 99 | py |
YOSO | YOSO-main/detectron2/modeling/test_time_augmentation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import numpy as np
from contextlib import contextmanager
from itertools import count
import torch
from fvcore.transforms import HFlipTransform, NoOpTransform
from torch import nn
from torch.nn.parallel import DistributedDataParallel
from detectron2.data.de... | 11,936 | 39.880137 | 98 | py |
YOSO | YOSO-main/detectron2/modeling/anchor_generator.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List
import torch
from torch import nn
from detectron2.config import configurable
from detectron2.layers import ShapeSpec
from detectron2.structures import Boxes, RotatedBoxes
from detectron2.utils.registry import Registry
ANCHOR_GENERA... | 15,205 | 38.910761 | 100 | py |
YOSO | YOSO-main/detectron2/modeling/matcher.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from detectron2.layers import nonzero_tuple
class Matcher(object):
"""
This class assigns to each predicted "element" (e.g., a box) a ground-truth
element. Each predicted element will have exactly zero or one matches;... | 6,232 | 48.07874 | 99 | py |
YOSO | YOSO-main/detectron2/modeling/sampling.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from detectron2.layers import nonzero_tuple
__all__ = ["subsample_labels"]
def subsample_labels(
labels: torch.Tensor, num_samples: int, positive_fraction: float, bg_label: int
):
"""
Return `num_samples` (or fewer, if not enough found)
... | 2,334 | 41.454545 | 94 | py |
YOSO | YOSO-main/detectron2/modeling/poolers.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List
import torch
from torch import nn
from torchvision.ops import RoIPool
from detectron2.layers import ROIAlign, ROIAlignRotated, cat, nonzero_tuple
from detectron2.structures import Boxes
"""
To export ROIPooler to torchscript, in th... | 10,762 | 42.052 | 100 | py |
YOSO | YOSO-main/detectron2/modeling/postprocessing.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch.nn import functional as F
from detectron2.layers import paste_masks_in_image
from detectron2.structures import Instances
from detectron2.utils.memory import retry_if_cuda_oom
# perhaps should rename to "resize_instance"
def detector_postproce... | 3,918 | 37.421569 | 98 | py |
YOSO | YOSO-main/detectron2/modeling/backbone/resnet.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
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,
ge... | 21,783 | 32.565485 | 100 | py |
YOSO | YOSO-main/detectron2/modeling/backbone/backbone.py | # Copyright (c) Facebook, Inc. and its affiliates.
from abc import ABCMeta, abstractmethod
import torch.nn as nn
from detectron2.layers import ShapeSpec
__all__ = ["Backbone"]
class Backbone(nn.Module, metaclass=ABCMeta):
"""
Abstract base class for network backbones.
"""
def __init__(self):
... | 1,543 | 27.592593 | 97 | py |
YOSO | YOSO-main/detectron2/modeling/backbone/fpn.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
import fvcore.nn.weight_init as weight_init
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 build_resnet... | 10,039 | 38.527559 | 99 | py |
YOSO | YOSO-main/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.structures import ImageList, ... | 12,760 | 40.431818 | 98 | py |
YOSO | YOSO-main/detectron2/modeling/meta_arch/retinanet.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
import numpy as np
from typing import Dict, List, Tuple
import torch
from fvcore.nn import giou_loss, sigmoid_focal_loss_jit, smooth_l1_loss
from torch import Tensor, nn
from torch.nn import functional as F
from detectron2.config import conf... | 26,670 | 42.297078 | 100 | py |
YOSO | YOSO-main/detectron2/modeling/meta_arch/panoptic_fpn.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch import nn
from detectron2.structures import ImageList
from ..backbone import build_backbone
from ..postprocessing import detector_postprocess, sem_seg_postprocess
from ..proposal_generator import build_proposal_generat... | 8,422 | 37.461187 | 98 | py |
YOSO | YOSO-main/detectron2/modeling/meta_arch/semantic_seg.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Dict
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.layers import Conv2d, ShapeSpec
from detectron2.structures import ImageList
from detectron2.ut... | 7,316 | 37.714286 | 100 | py |
YOSO | YOSO-main/detectron2/modeling/meta_arch/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
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.
The registered object will be called with `obj(cfg)... | 709 | 28.583333 | 83 | py |
YOSO | YOSO-main/detectron2/modeling/roi_heads/fast_rcnn.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Dict, List, Tuple, Union
import torch
from fvcore.nn import giou_loss, smooth_l1_loss
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import Linear, ShapeSpec... | 25,495 | 41.994941 | 100 | py |
YOSO | YOSO-main/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... | 12,941 | 42.284281 | 100 | py |
YOSO | YOSO-main/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, Linear, ShapeSpec, get_norm
from detectron2.utils.registry import ... | 4,082 | 33.310924 | 95 | py |
YOSO | YOSO-main/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... | 11,201 | 39.883212 | 100 | py |
YOSO | YOSO-main/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,... | 36,374 | 42.047337 | 100 | py |
YOSO | YOSO-main/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... | 11,419 | 40.227437 | 100 | py |
YOSO | YOSO-main/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... | 11,761 | 39.419244 | 100 | py |
YOSO | YOSO-main/detectron2/modeling/proposal_generator/rrpn.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import logging
from typing import Dict, List
import torch
from detectron2.layers import ShapeSpec, batched_nms_rotated, cat
from detectron2.structures import Instances, RotatedBoxes, pairwise_iou_rotated
from detectron2.utils.memory import retry_if_cu... | 8,488 | 42.091371 | 100 | py |
YOSO | YOSO-main/detectron2/modeling/proposal_generator/rpn.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict, List, Optional, Tuple, Union
import torch
import torch.nn.functional as F
from fvcore.nn import giou_loss, smooth_l1_loss
from torch import nn
from detectron2.config import configurable
from detectron2.layers import ShapeSpec, cat
from detectr... | 22,910 | 44.368317 | 100 | py |
YOSO | YOSO-main/detectron2/modeling/proposal_generator/proposal_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
from typing import List, Tuple
import torch
from detectron2.layers import batched_nms, cat
from detectron2.structures import Boxes, Instances
logger = logging.getLogger(__name__)
def find_top_rpn_proposals(
proposals: List[torch.Tenso... | 7,070 | 40.350877 | 100 | py |
YOSO | YOSO-main/detectron2/structures/image_list.py | # Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import division
from typing import Any, List, Tuple
import torch
from torch import device
from torch.nn import functional as F
from detectron2.utils.env import TORCH_VERSION
class ImageList(object):
"""
Structure that holds a list of images (... | 5,363 | 40.261538 | 93 | py |
YOSO | YOSO-main/detectron2/structures/instances.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
from typing import Any, Dict, List, Tuple, Union
import torch
class Instances:
"""
This class represents a list of instances in an image.
It stores the attributes of instances (e.g., boxes, masks, labels, scores) as "fields".
All fiel... | 6,449 | 32.59375 | 100 | py |
YOSO | YOSO-main/detectron2/structures/masks.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import itertools
import numpy as np
from typing import Any, Iterator, List, Union
import pycocotools.mask as mask_util
import torch
from detectron2.layers.roi_align import ROIAlign
from .boxes import Boxes
def polygon_area(x, y):
# Using the shoelac... | 16,572 | 36.751708 | 100 | py |
YOSO | YOSO-main/detectron2/structures/rotated_boxes.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import Any, Iterator, Tuple, Union
import torch
from detectron2.layers.rotated_boxes import pairwise_iou_rotated
from .boxes import Boxes
class RotatedBoxes(Boxes):
"""
This structure stores a list of rotated boxes as a Nx5 torch.Ten... | 18,144 | 36.645228 | 98 | py |
YOSO | YOSO-main/detectron2/structures/keypoints.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Any, List, Tuple, Union
import torch
from torch.nn import functional as F
class Keypoints:
"""
Stores keypoint **annotation** data. GT Instances have a `gt_keypoints` property
containing the x,y location and visibilit... | 8,363 | 37.366972 | 100 | py |
YOSO | YOSO-main/detectron2/structures/boxes.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
import numpy as np
from enum import IntEnum, unique
from typing import List, Tuple, Union
import torch
from torch import device
_RawBoxType = Union[List[float], Tuple[float, ...], torch.Tensor, np.ndarray]
@unique
class BoxMode(IntEnum):
"""
Enum... | 14,213 | 33.086331 | 97 | py |
YOSO | YOSO-main/projects/YOSO/train_net.py | import os
import copy
import torch
import logging
import itertools
from collections import OrderedDict
import detectron2.utils.comm as comm
from detectron2.config import get_cfg
from typing import Any, Dict, List, Set
from detectron2.utils.logger import setup_logger
from detectron2.checkpoint import DetectionCheckpoint... | 12,108 | 39.096026 | 112 | py |
YOSO | YOSO-main/projects/YOSO/yoso/segmentator.py | import torch
from torch import nn
import torch.nn.functional as F
from detectron2.modeling import META_ARCH_REGISTRY, build_backbone
from detectron2.structures import Boxes, ImageList, Instances
from detectron2.data import MetadataCatalog
from .neck import YOSONeck
from .head import YOSOHead
from .loss import SetCriter... | 11,671 | 43.380228 | 183 | py |
YOSO | YOSO-main/projects/YOSO/yoso/loss.py | import logging
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.utils.comm import get_world_size
from scipy.optimize import linear_sum_assignment
from torch.cuda.amp import autocast
from .utils import is_dist_avail_and_initialized, nested_tensor_from_tensor_list, get_uncertain_point... | 19,764 | 39.336735 | 138 | py |
YOSO | YOSO-main/projects/YOSO/yoso/head.py | import math
from numpy import pad
import torch
from torch import nn
import torch.nn.functional as F
from timm.models.layers import trunc_normal_
import torch
import torch.nn.functional as F
from torch import nn
from typing import Optional, List
from torch import nn, Tensor
class FFN(nn.Module):
def __init__(se... | 15,474 | 40.377005 | 170 | py |
YOSO | YOSO-main/projects/YOSO/yoso/utils.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Misc functions, including distributed helpers.
Mostly copy-paste from torchvision references.
"""
import os
import subprocess
import time
from collections import defaultdict, deque
import datetime
import pickle
from typing import Optional, List... | 33,456 | 35.565027 | 148 | py |
YOSO | YOSO-main/projects/YOSO/yoso/neck.py | import math
import torch
from torch import nn
import torch.nn.functional as F
import fvcore.nn.weight_init as weight_init
from detectron2.layers import DeformConv, ModulatedDeformConv
class DeformLayer(nn.Module):
def __init__(self, in_planes, out_planes, deconv_kernel=4, deconv_stride=2, deconv_pad=1, deconv_out... | 8,442 | 43.436842 | 181 | py |
YOSO | YOSO-main/projects/YOSO/yoso/data/dataset_mappers/yoso_semantic_dataset_mapper.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
import numpy as np
import torch
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.data import MetadataCatalog
from detectron2.data import detection_utils as utils
from detectron2.data import tra... | 6,920 | 36.209677 | 98 | py |
YOSO | YOSO-main/projects/YOSO/yoso/data/dataset_mappers/yoso_instance_lsj_dataset_mapper.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Modified by Bowen Cheng from https://github.com/facebookresearch/detr/blob/master/d2/detr/dataset_mapper.py
import copy
import logging
import numpy as np
import torch
from detectron2.config import configurable
from detectron2.data import detection_utils as utils
fr... | 7,179 | 36.789474 | 111 | py |
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