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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NorCal | NorCal-main/setup.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
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
torch_ver = [int(x) for x in to... | 7,805 | 36.349282 | 97 | py |
NorCal | NorCal-main/tools/benchmark.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
"""
A script to benchmark builtin models.
Note: this script has an extra dependency of psutil.
"""
import itertools
import logging
import psutil
import torch
import tqdm
from fvcore.common.timer import Timer
from torch.nn.parallel import Distrib... | 6,377 | 31.212121 | 100 | py |
NorCal | NorCal-main/tools/visualize_data.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import os
from itertools import chain
import cv2
import tqdm
from detectron2.config import get_cfg
from detectron2.data import DatasetCatalog, MetadataCatalog, build_detection_train_loader
from detectron2.data import detection_uti... | 3,565 | 36.536842 | 94 | py |
NorCal | NorCal-main/tools/lightning_train_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Lightning Trainer should be considered beta at this point
# We have confirmed that training and validation run correctly and produce correct results
# Depending on how you launch the trainer, there are issues with processes terminating correctl... | 8,752 | 35.470833 | 97 | py |
NorCal | NorCal-main/tools/plain_train_net.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Detectron2 training script with a plain training loop.
This script reads a given config file and runs the training or evaluation.
It is an entry point that is able to train standard models in detectron2.
In order to let one script support tr... | 8,198 | 35.602679 | 99 | py |
NorCal | NorCal-main/tools/convert-torchvision-to-d2.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import pickle as pkl
import sys
import torch
"""
Usage:
# download one of the ResNet{18,34,50,101,152} models from torchvision:
wget https://download.pytorch.org/models/resnet50-19c8e357.pth -O r50.pth
# run the conversion
./convert-torc... | 1,608 | 27.22807 | 87 | py |
NorCal | NorCal-main/tools/train_net.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
"""
A main training script.
This scripts reads a given config file and runs the training or evaluation.
It is an entry point that is made to train standard models in detectron2.
In order to let one script support training of many models,
this sc... | 6,115 | 34.766082 | 99 | py |
NorCal | NorCal-main/tools/deploy/export_model.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import os
from typing import Dict, List, Tuple
import torch
from torch import Tensor, nn
import detectron2.data.transforms as T
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import get_cfg
from det... | 9,288 | 37.543568 | 97 | py |
NorCal | NorCal-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 CfgNode, LazyConfig, get_cfg, instantiate
from detectron2.modeling import build_model
class _ModelZooUrls(ob... | 11,263 | 51.635514 | 113 | py |
NorCal | NorCal-main/detectron2/solver/lr_scheduler.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
from bisect import bisect_right
from typing import List
import torch
from fvcore.common.param_scheduler import (
CompositeParamScheduler,
ConstantParamScheduler,
LinearParamScheduler,
ParamScheduler,
)
logger = logging.getLog... | 8,648 | 35.188285 | 100 | py |
NorCal | NorCal-main/detectron2/solver/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import itertools
import logging
from collections import defaultdict
from enum import Enum
from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Type, Union
import torch
from fvcore.common.param_scheduler import CosineParamScheduler, MultiSt... | 10,991 | 37.433566 | 92 | py |
NorCal | NorCal-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.config import CfgNode
from detectron2.data import MetadataCatalog
from detectron2.stru... | 15,018 | 38.419948 | 150 | py |
NorCal | NorCal-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 |
NorCal | NorCal-main/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... | 8,156 | 35.253333 | 99 | py |
NorCal | NorCal-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... | 7,638 | 40.291892 | 100 | py |
NorCal | NorCal-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... | 10,862 | 35.089701 | 99 | py |
NorCal | NorCal-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... | 7,608 | 35.581731 | 94 | py |
NorCal | NorCal-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... | 29,885 | 41.033755 | 168 | py |
NorCal | NorCal-main/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
from tabulate import tabulate
def convert_basic_c2_names(original_keys):
"""
Apply some basic name conversion to names in C2 weights.
It only deals with typical backbone model... | 17,770 | 42.556373 | 99 | py |
NorCal | NorCal-main/detectron2/checkpoint/detection_checkpoint.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import os
import pickle
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 import PathManager
from .c2_model_loading im... | 5,213 | 42.090909 | 98 | py |
NorCal | NorCal-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
):
"""... | 6,789 | 44.266667 | 98 | py |
NorCal | NorCal-main/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... | 11,155 | 39.274368 | 99 | py |
NorCal | NorCal-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 |
NorCal | NorCal-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 .blocks import DepthwiseSeparableConv2d
from .wrappers import Conv2d
class ASPP(nn.Mod... | 5,764 | 38.758621 | 137 | py |
NorCal | NorCal-main/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... | 4,204 | 30.380597 | 100 | py |
NorCal | NorCal-main/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:
... | 3,098 | 40.32 | 95 | py |
NorCal | NorCal-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... | 661 | 30.52381 | 85 | py |
NorCal | NorCal-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... | 4,551 | 33.225564 | 97 | py |
NorCal | NorCal-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 |
NorCal | NorCal-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 |
NorCal | NorCal-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... | 3,024 | 26.008929 | 82 | py |
NorCal | NorCal-main/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... | 11,526 | 27.321867 | 97 | py |
NorCal | NorCal-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 |
NorCal | NorCal-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 freeze_training_mode, patch_instances
__all__ = ["scripting_with_instances", "dump_torchscript_IR"]
def scripting_with_instances(model, fields):
"""
Run... | 5,006 | 36.646617 | 98 | py |
NorCal | NorCal-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.roi_heads import keypoint_head
from detectron2.structures import Boxe... | 16,881 | 39.581731 | 100 | py |
NorCal | NorCal-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... | 21,035 | 38.319626 | 100 | py |
NorCal | NorCal-main/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... | 11,807 | 34.673716 | 98 | py |
NorCal | NorCal-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
from detectron2.utils.file_io import PathManager
from .caffe2_inference import ProtobufDetectionModel
from .caffe2_modelin... | 10,497 | 37.313869 | 98 | py |
NorCal | NorCal-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.... | 38,065 | 35.778744 | 99 | py |
NorCal | NorCal-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 |
NorCal | NorCal-main/detectron2/export/__init__.py | # -*- coding: utf-8 -*-
from .api import *
from .flatten import TracingAdapter
from .torchscript import scripting_with_instances, dump_torchscript_IR
__all__ = [k for k in globals().keys() if not k.startswith("_")]
| 217 | 26.25 | 70 | py |
NorCal | NorCal-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... | 6,674 | 40.203704 | 98 | py |
NorCal | NorCal-main/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.... | 25,259 | 35.768559 | 100 | py |
NorCal | NorCal-main/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():
... | 4,089 | 31.204724 | 95 | py |
NorCal | NorCal-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... | 26,584 | 36.602546 | 152 | py |
NorCal | NorCal-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 List, Mapping, Optional
import torch
from torch.nn.parallel import DataParallel, DistributedDataParallel
import detectron2.utils.comm as comm
from detectron2.utils... | 14,104 | 32.744019 | 96 | py |
NorCal | NorCal-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
from typing import Optional
import torch
from fvcore.common.history_buffer import HistoryBuffer
from detectron2.utils.file_io imp... | 17,024 | 33.958932 | 99 | py |
NorCal | NorCal-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 |
NorCal | NorCal-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... | 8,039 | 28.667897 | 100 | py |
NorCal | NorCal-main/detectron2/utils/registry.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any
import pydoc
from fvcore.common.registry import Registry # for backward compatibility.
"""
``Registry`` and `locate` provide ways to map a string (typically found
in config files) to callable objects.
"""
__all__ = ["Registry", "locate"]
de... | 1,874 | 29.737705 | 96 | py |
NorCal | NorCal-main/detectron2/utils/testing.py | # Copyright (c) Facebook, Inc. and its affiliates.
import io
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, Instances,... | 4,522 | 33.007519 | 91 | py |
NorCal | NorCal-main/detectron2/utils/logger.py | # Copyright (c) Facebook, Inc. and its affiliates.
import atexit
import functools
import logging
import os
import sys
import time
from collections import Counter
import torch
from tabulate import tabulate
from termcolor import colored
from detectron2.utils.file_io import PathManager
__all__ = ["setup_logger", "log_fi... | 7,807 | 31.806723 | 94 | py |
NorCal | NorCal-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:
... | 8,391 | 33.534979 | 96 | py |
NorCal | NorCal-main/detectron2/utils/analysis.py | # Copyright (c) Facebook, Inc. and its affiliates.
# -*- coding: utf-8 -*-
import typing
from typing import Any, List
import fvcore
from fvcore.nn import activation_count, flop_count, parameter_count, parameter_count_table
from torch import nn
from detectron2.export import TracingAdapter
__all__ = [
"activation_... | 5,986 | 30.845745 | 96 | py |
NorCal | NorCal-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... | 49,677 | 39.323052 | 100 | py |
NorCal | NorCal-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... | 5,644 | 32.011696 | 109 | py |
NorCal | NorCal-main/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... | 7,378 | 31.650442 | 100 | py |
NorCal | NorCal-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... | 8,169 | 41.552083 | 99 | py |
NorCal | NorCal-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
from typing import List, Union
import pycocotools.mask as mask_util
import torch
from PIL import Image
from d... | 22,035 | 34.314103 | 105 | py |
NorCal | NorCal-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 |
NorCal | NorCal-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 |
NorCal | NorCal-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 |
NorCal | NorCal-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 |
NorCal | NorCal-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 |
NorCal | NorCal-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 |
NorCal | NorCal-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,
... | 23,069 | 36.512195 | 101 | py |
NorCal | NorCal-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 |
NorCal | NorCal-main/detectron2/modeling/box_regression.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List, Tuple
import torch
from fvcore.nn import giou_loss, smooth_l1_loss
from torch.nn import functional as F
from detectron2.layers import cat, ciou_loss, diou_loss
from detectron2.structures import Boxes
# Value for clamping large dw ... | 14,752 | 39.867036 | 99 | py |
NorCal | NorCal-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
from typing import List
import torch
from fvcore.transforms import HFlipTransform, NoOpTransform
from torch import nn
from torch.nn.parallel import DistributedDataParallel
... | 12,416 | 39.314935 | 98 | py |
NorCal | NorCal-main/detectron2/modeling/anchor_generator.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
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 Regi... | 15,351 | 39.083551 | 100 | py |
NorCal | NorCal-main/detectron2/modeling/matcher.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from detectron2.layers import nonzero_tuple
# TODO: the name is too general
class Matcher(object):
"""
This class assigns to each predicted "element" (e.g., a box) a ground-truth
element. Each predicted element will h... | 6,264 | 47.945313 | 99 | py |
NorCal | NorCal-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 |
NorCal | NorCal-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, shapes_to_tensor
from detectron2.structures import Boxes
"""
To export ROIPooler to ... | 10,850 | 43.109756 | 100 | py |
NorCal | NorCal-main/detectron2/modeling/mmdet_wrapper.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import logging
import numpy as np
from collections import OrderedDict
from collections.abc import Mapping
from typing import Dict, List, Optional, Tuple, Union
import torch
from omegaconf import DictConfig, OmegaConf
from torch import Tensor, nn
from ... | 10,973 | 38.905455 | 100 | py |
NorCal | NorCal-main/detectron2/modeling/postprocessing.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch.nn import functional as F
from detectron2.structures import Instances, ROIMasks
# perhaps should rename to "resize_instance"
def detector_postprocess(
results: Instances, output_height: int, output_width: int, mask_threshold: float = 0.5
... | 4,015 | 38.372549 | 98 | py |
NorCal | NorCal-main/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... | 16,656 | 35.770419 | 100 | py |
NorCal | NorCal-main/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... | 23,656 | 33.038849 | 100 | py |
NorCal | NorCal-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 |
NorCal | NorCal-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
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... | 10,055 | 38.28125 | 100 | py |
NorCal | NorCal-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, ... | 13,445 | 39.993902 | 98 | py |
NorCal | NorCal-main/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... | 18,265 | 40.513636 | 98 | py |
NorCal | NorCal-main/detectron2/modeling/meta_arch/dense_detector.py | import numpy as np
from typing import Dict, List, Optional, Tuple
import torch
from torch import Tensor, nn
from detectron2.data.detection_utils import convert_image_to_rgb
from detectron2.modeling import Backbone
from detectron2.structures import Boxes, ImageList, Instances
from detectron2.utils.events import get_eve... | 11,558 | 39.557895 | 100 | py |
NorCal | NorCal-main/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 Tensor, nn
from torch.nn import functional as F
from detectron2.layers import ShapeSpec, batched_nms
from detectron2.structures import ... | 12,168 | 39.029605 | 96 | py |
NorCal | NorCal-main/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 ... | 10,335 | 37.71161 | 117 | py |
NorCal | NorCal-main/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... | 9,720 | 36.245211 | 100 | py |
NorCal | NorCal-main/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.
... | 814 | 30.346154 | 83 | py |
NorCal | NorCal-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 (
ShapeSpec,
... | 20,804 | 41.808642 | 100 | py |
NorCal | NorCal-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... | 12,960 | 42.347826 | 100 | py |
NorCal | NorCal-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, ShapeSpec, get_norm
from detectron2.utils.registry import Registry... | 4,077 | 33.268908 | 95 | py |
NorCal | NorCal-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... | 11,156 | 39.868132 | 100 | py |
NorCal | NorCal-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,... | 37,701 | 41.940774 | 100 | py |
NorCal | NorCal-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... | 11,158 | 40.177122 | 100 | py |
NorCal | NorCal-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... | 11,921 | 39.68942 | 100 | py |
NorCal | NorCal-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.config import configurable
from detectron2.layers import ShapeSpec, batched_nms_rotated, cat
from detectron2.structures import Instances, RotatedBoxes, pairwise_iou_rotated
from... | 8,868 | 41.639423 | 100 | py |
NorCal | NorCal-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 torch import nn
from detectron2.config import configurable
from detectron2.layers import Conv2d, ShapeSpec, cat
from detectron2.structures import Boxes, ImageList, ... | 23,812 | 43.593633 | 100 | py |
NorCal | NorCal-main/detectron2/modeling/proposal_generator/proposal_utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
from typing import List, Tuple, Union
import torch
from detectron2.layers import batched_nms, cat
from detectron2.structures import Boxes, Instances
logger = logging.getLogger(__name__)
def _is_tracing():
# (fixed in TORCH_VERSION >= ... | 8,117 | 39.38806 | 100 | py |
NorCal | NorCal-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.layers.wrappers import shapes_to_tensor
class ImageList(object):
"""
Structure that holds a list of... | 4,294 | 37.693694 | 93 | py |
NorCal | NorCal-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... | 6,542 | 32.901554 | 100 | py |
NorCal | NorCal-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 torch import device
from detectron2.layers.roi_align import ROIAlign
from detectron2.utils.memory import retry_if_cuda_... | 19,506 | 35.598499 | 100 | py |
NorCal | NorCal-main/detectron2/structures/rotated_boxes.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List, Tuple
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.Tensor.
It supp... | 18,853 | 36.40873 | 98 | py |
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