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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SA-AutoAug | SA-AutoAug-master/detectron2/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",... | 6,826 | 35.508021 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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.utils.data
from tabulate import tabulate
from termcolor import colored
from detectron2.config import configurable
from detectron2.structures import BoxMode
from detectron2.ut... | 18,243 | 37.570825 | 99 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/detectron2/data/samplers/distributed_sampler.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import math
from collections import defaultdict
from typing import Optional
import torch
from torch.utils.data.sampler import Sampler
from detectron2.utils import comm
class TrainingSampler(Sampler):
"""
In training, we only care about the "... | 8,190 | 39.751244 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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 detectron2.layers import cat
from detectron2.structures import Boxes
# Value for clamping large dw and dh predictions. The heuristic is that we clamp
# such t... | 11,065 | 39.833948 | 99 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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... | 15,251 | 38.926702 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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... | 10,859 | 42.266932 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/detectron2/modeling/mmdet_wrapper.py | # -*- coding: utf-8 -*-
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 detectron2.layers import S... | 10,813 | 38.904059 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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... | 23,620 | 33.036023 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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, ... | 13,449 | 40.006098 | 98 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 sigmoid_focal_loss_jit
from torch import Tensor, nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.da... | 26,162 | 41.890164 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/detectron2/modeling/meta_arch/panoptic_fpn.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Dict, Tuple
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... | 10,350 | 37.479554 | 117 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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... | 9,522 | 36.940239 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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, batche... | 27,212 | 42.680578 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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,... | 37,511 | 42.067738 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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... | 11,198 | 40.172794 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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... | 8,650 | 41.406863 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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
from detectron2.utils.env import TORCH_VERSION
logger = logging.getLogger(__name__)
def _is_trac... | 7,505 | 40.016393 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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
def _as_tensor(x: Tuple[int, int]) -> torch.Tensor:
"""
An equivalen... | 4,853 | 37.832 | 93 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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 |
SA-AutoAug | SA-AutoAug-master/detectron2/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... | 16,755 | 36.909502 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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, _maybe_jit_unused
class RotatedBoxes(Boxes):
"""
This structure stores a list of rotated boxes as a Nx5 torch.... | 18,918 | 36.389328 | 98 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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
from detectron2.utils.env import TORCH_VERSION
if TORCH_VERSION < (1, 8):
def script_if_tracing(fn):
return fn
else:
script_if_tracing =... | 8,571 | 36.108225 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/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
from detectron2.utils.env import TORCH_VERSION
_RawBoxType = Union[List[float], Tuple[float, ...], torch.Tensor, np.ndarray]
... | 13,880 | 32.28777 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/PointRend/train_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
PointRend Training Script.
This script is a simplified version of the training script in detectron2/tools.
"""
import os
import torch
import detectron2.data.transforms as T
import detectron2.utils.comm as comm
from detectron2.checkpoint i... | 5,162 | 32.745098 | 98 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/PointRend/point_rend/color_augmentation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import random
import cv2
from fvcore.transforms.transform import Transform
class ColorAugSSDTransform(Transform):
"""
A color related data augmentation used in Single Shot Multibox Detector (SSD).
Wei Liu, Dragomir Anguelov, Dumitru Er... | 3,025 | 29.565657 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/PointRend/point_rend/point_features.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch.nn import functional as F
from detectron2.layers import cat
from detectron2.structures import Boxes
"""
Shape shorthand in this module:
N: minibatch dimension size, i.e. the number of RoIs for instance segmenation or the
number o... | 9,990 | 43.207965 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/PointRend/point_rend/mask_head.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Dict, List
import fvcore.nn.weight_init as weight_init
import torch
from torch import Tensor, nn
from torch.nn import functional as F
from detectron2.layers import Conv2d, ShapeSpec, cat, interpolate
from detectron2.modeling impor... | 14,214 | 44.415335 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/PointRend/point_rend/semantic_seg.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Dict
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.layers import ShapeSpec, cat
from detectron2.modeling import SEM_SEG_HEADS_REGISTRY
from .point_features import (
get_uncertain_point... | 5,708 | 40.977941 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/PointRend/point_rend/point_head.py | # Copyright (c) Facebook, Inc. and its affiliates.
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 ShapeSpec, cat
from detectron2.structures import BitMasks
from detectron2.utils.events import get_event_storage
from detect... | 6,662 | 41.170886 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/query_db.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import logging
import os
import sys
from timeit import default_timer as timer
from typing import Any, ClassVar, Dict, List
import torch
from detectron2.data.catalog import DatasetCatalog
from detectron2.utils.file_io import Path... | 8,442 | 32.63745 | 96 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/apply_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import glob
import logging
import os
import pickle
import sys
from typing import Any, ClassVar, Dict, List
import torch
from detectron2.config import CfgNode, get_cfg
from detectron2.data.detection_utils import read_image
from d... | 12,551 | 34.357746 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/evaluation/densepose_coco_evaluation.py | # 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.
# This is a modified version of cocoeval.py where we also have the densepose evaluation.
__author__ = "tsungyi"
import cop... | 56,738 | 42.712635 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/evaluation/tensor_storage.py | # Copyright (c) Facebook, Inc. and its affiliates.
import io
import numpy as np
import os
from dataclasses import dataclass
from functools import reduce
from operator import mul
from typing import BinaryIO, Dict, Optional, Tuple
import torch
from detectron2.utils.comm import gather, get_rank
from detectron2.utils.fil... | 9,478 | 38.661088 | 99 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/evaluation/evaluator.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import copy
import io
import itertools
import logging
import numpy as np
import os
from collections import OrderedDict
from typing import Optional
import pycocotools.mask as mask_utils
import torch
from pycocotools.coco import... | 14,051 | 36.472 | 96 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/vis/base.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import cv2
import torch
Image = np.ndarray
Boxes = torch.Tensor
class MatrixVisualizer(object):
"""
Base visualizer for matrix data
"""
def __init__(
self,
inplace=True,
cmap=cv2.COLORMAP_PAR... | 6,688 | 33.838542 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/vis/densepose_outputs_vertex.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import json
import numpy as np
from functools import lru_cache
from typing import Dict, List, Optional, Tuple
import cv2
import torch
from detectron2.utils.file_io import PathManager
from densepose.modeling import build_densepose_embedder
from den... | 8,432 | 35.665217 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/vis/extractor.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import List, Optional, Sequence, Tuple
import torch
from detectron2.layers.nms import batched_nms
from detectron2.structures.instances import Instances
from densepose.converters import ToChartResultConverterWithConfidences
from densepose.st... | 6,824 | 33.125 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/vis/densepose_results.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from typing import List, Optional, Tuple
import cv2
import torch
from densepose.structures import DensePoseDataRelative
from ..structures import DensePoseChartResult
from .base import Boxes, Image, MatrixVisualizer
class DensePoseR... | 12,722 | 34.738764 | 98 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/vis/densepose_results_textures.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import List, Optional, Tuple
import cv2
import torch
from detectron2.utils.file_io import PathManager
from ..structures import DensePoseChartResult
from .base import Boxes, Image
from .densepose_results import DensePoseResultsVisualizer... | 3,382 | 38.337209 | 156 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/engine/trainer.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import os
from collections import OrderedDict
from typing import List, Optional, Union
import torch
from torch import nn
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import CfgNode
from detectron2.e... | 10,313 | 39.289063 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/data/inference_based_loader.py | # Copyright (c) Facebook, Inc. and its affiliates.
import random
from typing import Any, Callable, Iterable, Iterator, List, Optional, Tuple
import torch
from torch import nn
SampledData = Any
ModelOutput = Any
def _grouper(iterable: Iterable[Any], n: int, fillvalue=None) -> Iterator[Tuple[Any]]:
"""
Group ... | 5,585 | 35.509804 | 87 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/data/dataset_mapper.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import logging
from typing import Any, Dict, List, Tuple
import torch
from detectron2.data import MetadataCatalog
from detectron2.data import detection_utils as utils
from detectron2.data import transforms as T
from detectron2.laye... | 7,018 | 40.532544 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/data/image_list_dataset.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
from typing import Callable, List, Optional
import torch
from torch.utils.data.dataset import Dataset
from detectron2.data.detection_utils import read_image
ImageTransform = Callable[[torch.Tensor], torch.Ten... | 1,610 | 28.290909 | 91 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/data/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import logging
import numpy as np
from collections import UserDict, defaultdict
from dataclasses import dataclass
from typing import Any, Callable, Collection, Dict, Iterable, List, Optional, Sequence, Tuple
import torch
from torch.utils.data.dataset ... | 26,998 | 39.057864 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/data/video/video_keyframe_dataset.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import csv
import logging
import numpy as np
from typing import Callable, List, Optional
import av
import torch
from torch.utils.data.dataset import Dataset
from detectron2.utils.file_io import PathManager
from ..utils import maybe_prepend_ba... | 11,008 | 37.764085 | 99 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/data/samplers/densepose_confidence_based.py | # Copyright (c) Facebook, Inc. and its affiliates.
import random
from typing import Optional, Tuple
import torch
from densepose.converters import ToChartResultConverterWithConfidences
from .densepose_base import DensePoseBaseSampler
class DensePoseConfidenceBasedSampler(DensePoseBaseSampler):
"""
Samples D... | 4,820 | 43.229358 | 99 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/data/samplers/densepose_base.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any, Dict, List, Tuple
import torch
from torch.nn import functional as F
from detectron2.structures import BoxMode, Instances
from densepose.converters import ToChartResultConverter
from densepose.converters.base import IntTupleBox, make_int_box
f... | 8,167 | 39.435644 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/data/samplers/densepose_uniform.py | # Copyright (c) Facebook, Inc. and its affiliates.
import random
import torch
from .densepose_base import DensePoseBaseSampler
class DensePoseUniformSampler(DensePoseBaseSampler):
"""
Samples DensePose data from DensePose predictions.
Samples for each class are drawn uniformly over all pixels estimated
... | 1,292 | 29.785714 | 82 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/data/transform/image.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
class ImageResizeTransform:
"""
Transform that converts frames loaded from a dataset
(RGB data in NHWC channel order, typically uint8) to a format ready to be
consumed by DensePose training (BGR float32 data in NCHW channel order)
""... | 1,460 | 37.447368 | 79 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/inference.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import fields
from typing import Any, List
import torch
from detectron2.structures import Instances
def densepose_inference(densepose_predictor_output: Any, detections: List[Instances]):
"""
Splits DensePose predictor outputs into chunks, ea... | 1,925 | 42.772727 | 86 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/hrnet.py | # Copyright (c) Facebook, Inc. and its affiliates.
# ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# Written by Bin Xiao (leoxiaobin@gmail.com)
# Modified by Bowen Cheng (bcheng9@illinois.edu)
# Adapted from https://github.com/... | 17,832 | 36.543158 | 126 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/test_time_augmentation.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import numpy as np
import torch
from fvcore.transforms import HFlipTransform, TransformList
from torch.nn import functional as F
from detectron2.data.transforms import RandomRotation, RotationTransform, apply_transform_gens
from detectron2.modeling.postpro... | 10,840 | 51.120192 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/filter.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List
import torch
from detectron2.config import CfgNode
from detectron2.structures import Instances
from detectron2.structures.boxes import matched_boxlist_iou
class DensePoseDataFilter(object):
def __init__(self, cfg: CfgNode):
self.... | 4,430 | 45.642105 | 95 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
from torch import nn
def initialize_module_params(module: nn.Module):
for name, param in module.named_parameters():
if "bias" in name:
nn.init.constant_(param, 0)
elif "weight" in name:
nn.init.kaiming_normal_(param, mode=... | 352 | 28.416667 | 79 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Optional
from torch import nn
from detectron2.config import CfgNode
from .cse.embedder import Embedder
from .filter import DensePoseDataFilter
def build_densepose_predictor(cfg: CfgNode, input_channels: int):
"""
Create an instance of De... | 2,552 | 28.011364 | 82 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/hrfpn.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
MIT License
Copyright (c) 2019 Microsoft
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the... | 7,041 | 37.480874 | 98 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/predictors/chart_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d
from ...structures import decorate_predictor_output_class_with_confidences
from ..confidence import DensePose... | 8,373 | 46.851429 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/predictors/cse_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d
from densepose.modeling.confidence import DensePoseConfidenceModelConfig
from densepose.modeling.utils import... | 5,127 | 43.206897 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/predictors/cse.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from torch import nn
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d, interpolate
from ...structures import DensePoseEmbeddingPredictorOutput
from ..utils import initialize_module_params
from .regi... | 2,652 | 36.366197 | 93 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/predictors/chart.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch import nn
from detectron2.config import CfgNode
from detectron2.layers import ConvTranspose2d, interpolate
from ...structures import DensePoseChartPredictorOutput
from ..utils import initialize_module_params
from .registry import DENSEPOSE_PR... | 3,693 | 37.884211 | 94 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/cse/embedder.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import numpy as np
import pickle
from enum import Enum
from typing import Optional
import torch
from torch import nn
from detectron2.config import CfgNode
from detectron2.utils.file_io import PathManager
from .vertex_direct_embedde... | 4,930 | 36.641221 | 91 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/cse/vertex_feature_embedder.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import pickle
import torch
from torch import nn
from detectron2.utils.file_io import PathManager
from .utils import normalize_embeddings
class VertexFeatureEmbedder(nn.Module):
"""
Class responsible for embedding vertex features. Mappin... | 2,688 | 34.381579 | 95 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/cse/utils.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from torch.nn import functional as F
def squared_euclidean_distance_matrix(pts1: torch.Tensor, pts2: torch.Tensor) -> torch.Tensor:
"""
Get squared Euclidean Distance Matrix
Computes pairwise squared Euclidean distances b... | 3,364 | 39.059524 | 98 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/cse/vertex_direct_embedder.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import pickle
import torch
from torch import nn
from detectron2.utils.file_io import PathManager
from .utils import normalize_embeddings
class VertexDirectEmbedder(nn.Module):
"""
Class responsible for embedding vertices. Vertex embeddi... | 1,966 | 29.261538 | 94 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/roi_heads/v1convx.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.layers import Conv2d
from ..utils import initialize_module_params
from .registry import ROI_DENSEPOSE_HEAD_REGISTRY
@ROI_DENSEPOSE_HEAD_REG... | 2,090 | 31.169231 | 91 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/roi_heads/deeplab.py | # Copyright (c) Facebook, Inc. and its affiliates.
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 CfgNode
from detectron2.layers import Conv2d
from .registry import ROI_DENSEPOSE_HEAD_REGISTRY
@ROI_DENSEPOSE_HEAD_REGI... | 8,667 | 31.833333 | 94 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/roi_heads/roi_head.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
from typing import Dict, List, Optional
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn as nn
from torch.nn import functional as F
from detectron2.layers import Conv2d, ShapeSpec, get_norm
from detectron2.modeling import RO... | 9,078 | 40.456621 | 99 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/losses/mask_or_segm.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, List
import torch
from detectron2.config import CfgNode
from detectron2.structures import Instances
from .mask import MaskLoss
from .segm import SegmentationLoss
class MaskOrSegmentationLoss:
"""
Mask or segmenta... | 2,970 | 39.69863 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/losses/segm.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, List
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from .utils import resample_data
class SegmentationLoss:
"""
Segmentation l... | 3,355 | 38.952381 | 98 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/losses/embed.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, Dict, List
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from densepose.data.meshes.catalog import MeshCatalog
from... | 5,612 | 46.567797 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/losses/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Tuple
import torch
from torch.nn import functional as F
from detectron2.structures import BoxMode, Instances
from densepose import DensePoseDataRelati... | 17,132 | 39.695962 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/losses/soft_embed.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, Dict, List
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from densepose.data.meshes.catalog import MeshCatalog
from... | 6,323 | 46.909091 | 99 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/losses/cse.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, List
from torch import nn
from detectron2.config import CfgNode
from detectron2.structures import Instances
from .embed import EmbeddingLoss
from .embed_utils import CseAnnotationsAccumulator
from .mask_or_segm import Mask... | 3,360 | 35.139785 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/losses/embed_utils.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from dataclasses import dataclass
from typing import Any, Optional
import torch
from detectron2.structures import BoxMode, Instances
from .utils import AnnotationsAccumulator
@dataclass
class PackedCseAnnotations:
x_gt: torch.Tensor
y_g... | 5,261 | 37.691176 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/losses/chart_with_confidences.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import Any, List
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from .. import DensePoseConfidenceModelConfig, DensePoseUVConfidenceType
... | 8,787 | 41.660194 | 99 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/losses/mask.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from dataclasses import dataclass
from typing import Any, Iterable, List, Optional
import torch
from torch.nn import functional as F
from detectron2.structures import Instances
@dataclass
class DataForMaskLoss:
"""
Contains mask GT and e... | 5,362 | 40.898438 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/modeling/losses/chart.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any, List
import torch
from torch.nn import functional as F
from detectron2.config import CfgNode
from detectron2.structures import Instances
from .mask_or_segm import MaskOrSegmentationLoss
from .registry import DENSEPOSE_LOSS_REGISTRY
from .util... | 13,987 | 47.401384 | 100 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/converters/base.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any, Tuple, Type
import torch
class BaseConverter:
"""
Converter base class to be reused by various converters.
Converter allows one to convert data from various source types to a particular
destination type. Each source type needs... | 3,480 | 36.031915 | 97 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/converters/segm_to_mask.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any
import torch
from torch.nn import functional as F
from detectron2.structures import BitMasks, Boxes, BoxMode
from .base import IntTupleBox, make_int_box
from .to_mask import ImageSizeType
def resample_coarse_segm_tensor_to_bbox(coarse_segm: ... | 6,016 | 39.655405 | 99 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/converters/chart_output_to_chart_result.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict
import torch
from torch.nn import functional as F
from detectron2.structures.boxes import Boxes, BoxMode
from ..structures import (
DensePoseChartPredictorOutput,
DensePoseChartResult,
DensePoseChartResultWithConfidences,
)
from .... | 7,141 | 37.397849 | 96 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/converters/chart_output_hflip.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import fields
import torch
from densepose.structures import DensePoseChartPredictorOutput, DensePoseTransformData
def densepose_chart_predictor_output_hflip(
densepose_predictor_output: DensePoseChartPredictorOutput,
transform_data: DensePos... | 2,833 | 38.361111 | 99 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/structures/chart_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import make_dataclass
from functools import lru_cache
from typing import Any, Optional
import torch
@lru_cache(maxsize=None)
def decorate_predictor_output_class_with_confidences(BasePredictorOutput: type) -> type:
"""
Create a new output cla... | 3,794 | 37.333333 | 93 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/structures/data_relative.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import torch
from torch.nn import functional as F
from densepose.data.meshes.catalog import MeshCatalog
from densepose.structures.mesh import load_mesh_symmetry
from densepose.structures.transform_data import DensePoseTransformData
class DensePose... | 10,524 | 42.135246 | 99 | py |
SA-AutoAug | SA-AutoAug-master/detectron2/projects/DensePose/densepose/structures/cse_confidence.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import make_dataclass
from functools import lru_cache
from typing import Any, Optional
import torch
@lru_cache(maxsize=None)
def decorate_cse_predictor_output_class_with_confidences(BasePredictorOutput: type) -> type:
"""
Create a new output... | 2,760 | 33.949367 | 93 | py |
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