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# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import math
import torch
import torch.nn.functional as F
from torch.autograd import grad
def gPenalty(inputs, loss, la... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
""" Some utilities """
import os
import math
import warnings
import configargparse
import torch
from nets import ConvNe... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import time
import torch
import torch.nn.functional as F
from torch.autograd import grad
from data import CIF... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import math
import time
import numpy as np
import scipy.stats as st
from functools import partial
import torch
from torc... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import numpy as np
from PIL import Image
import torch
from torch.utils.data.sampler import SubsetRandomSampler... |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from functools import reduce
import torch.nn as nn
import torch.nn.functional as F
class Identity(nn.Module):
def ... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import detectron2.utils.comm as comm
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import get_cfg
from detectron2.engine import default_argument_parser, default_setup, launch
from adapteacher... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from detectron2.config import CfgNode as CN
def add_ateacher_config(cfg):
"""
Add config for semisupnet.
"""
_C = cfg
_C.TEST.VAL_LOSS = True
_C.MODEL.RPN.UNSUP_LOSS_WEIGHT = 1.0
_C.MODEL.RPN.LOSS = "CrossEntropy"
... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from .config import add_ateacher_config
|
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from detectron2.checkpoint.c2_model_loading import align_and_update_state_dicts
from detectron2.checkpoint import DetectionCheckpointer
# for load_student_model
from typing import Any
from fvcore.common.checkpoint import _strip_prefix_if_present, _... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from detectron2.config import CfgNode
from detectron2.solver.lr_scheduler import WarmupCosineLR, WarmupMultiStepLR
from .lr_scheduler import WarmupTwoStageMultiStepLR
def build_lr_scheduler(
cfg: CfgNode, optimizer: torch.optim.Op... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from bisect import bisect_right
from typing import List
import torch
from detectron2.solver.lr_scheduler import _get_warmup_factor_at_iter
class WarmupTwoStageMultiStepLR(torch.optim.lr_scheduler._LRScheduler):
def __init__(
self,
... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import numpy as np
import torch
import torch.nn as nn
from torch.nn import functional as F
from detectron2.modeling.meta_arch.build import META_ARCH_REGISTRY
from detectron2.modeling.meta_arch.rcnn import GeneralizedRCNN
from detectron2.config impo... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch.nn as nn
import copy
import torch
from typing import Union, List, Dict, Any, cast
from detectron2.modeling.backbone import (
ResNet,
Backbone,
build_resnet_backbone,
BACKBONE_REGISTRY
)
from detectron2.modeling.backbone.... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from torch.nn.parallel import DataParallel, DistributedDataParallel
import torch.nn as nn
class EnsembleTSModel(nn.Module):
def __init__(self, modelTeacher, modelStudent):
super(EnsembleTSModel, self).__init__()
if isinstance(... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Dict, Optional
import torch
from detectron2.structures import ImageList, Instances
from detectron2.modeling.proposal_generator import RPN
from detectron2.modeling.proposal_generator.build import PROPOSAL_GENERATOR_REGISTRY
@PRO... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.modeling.roi_heads.fast_rcnn import (
FastRCNNOutputLayers,
FastRCNNOutputs,
)
# focal loss
class FastRCNNFocaltLossOutputLayers(FastRCNNOutputLayers):
... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from typing import Dict, List, Optional, Tuple, Union
from detectron2.structures import Boxes, ImageList, Instances, pairwise_iou
from detectron2.modeling.proposal_generator.proposal_utils import (
add_ground_truth_to_proposals,
)
f... |
# Copyright (c) Facebook, Inc. and its affiliates.
from .coco_evaluation import COCOEvaluator
from .pascal_voc_evaluation import PascalVOCDetectionEvaluator
# __all__ = [k for k in globals().keys() if not k.startswith("_")]
__all__ = [
"COCOEvaluator",
"PascalVOCDetectionEvaluator"
]
|
# 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... |
# -*- 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... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import numpy as np
import operator
import json
import torch.utils.data
from detectron2.utils.comm import get_world_size
from detectron2.data.common import (
DatasetFromList,
MapDataset,
)
from detectron2.data.dataset_mapper im... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from .build import (
build_detection_test_loader,
build_detection_semisup_train_loader,
)
|
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import torchvision.transforms as transforms
from adapteacher.data.transforms.augmentation_impl import (
GaussianBlur,
)
def build_strong_augmentation(cfg, is_train):
"""
Create a list of :class:`Augmentation` from config... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import logging
import numpy as np
from PIL import Image
import torch
import detectron2.data.detection_utils as utils
import detectron2.data.transforms as T
from detectron2.data.dataset_mapper import DatasetMapper
from adapteacher.data.d... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
from detectron2.data.common import MapDataset, AspectRatioGroupedDataset
class MapDatasetTwoCrop(MapDataset):
"""
Map a function over the elements in a dataset.
This customized MapDataset transforms an image with two au... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import os
import contextlib
from detectron2.data import DatasetCatalog, MetadataCatalog
from fvcore.common.timer import Timer
# from fvcore.common.file_io import PathManager
from iopath.common.file_io import PathManager
from detectron2.data.dataset... |
# 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... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import random
from PIL import ImageFilter
class GaussianBlur:
"""
Gaussian blur augmentation in SimCLR https://arxiv.org/abs/2002.05709
Adapted from MoCo:
https://github.com/facebookresearch/moco/blob/master/moco/loader.py
Note... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from detectron2.engine.hooks import HookBase
import detectron2.utils.comm as comm
import torch
import numpy as np
from contextlib import contextmanager
class LossEvalHook(HookBase):
def __init__(self, eval_period, model, data_loader, model_ou... |
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