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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BMaskR-CNN | BMaskR-CNN-master/detectron2/modeling/proposal_generator/rrpn.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import itertools
import logging
from typing import Dict, List
import torch
from detectron2.layers import ShapeSpec, batched_nms_rotated, cat
from detectron2.structures import Instances, RotatedBoxes, pairwise_iou_rotated
from detectron2.utils.memor... | 8,508 | 42.192893 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/detectron2/modeling/proposal_generator/rpn.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Dict, List, Optional, Tuple, Union
import torch
import torch.nn.functional as F
from fvcore.nn import giou_loss, smooth_l1_loss
from torch import nn
from detectron2.config import configurable
from detectron2.layers import ShapeSp... | 22,617 | 44.236 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/detectron2/modeling/proposal_generator/proposal_utils.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import itertools
import logging
import math
from typing import List, Tuple
import torch
from detectron2.layers import batched_nms, cat
from detectron2.structures import Boxes, Instances
logger = logging.getLogger(__name__)
def find_top_rpn_propo... | 7,108 | 39.856322 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/detectron2/structures/image_list.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from __future__ import division
from typing import Any, List, Sequence, Tuple, Union
import torch
from torch.nn import functional as F
class ImageList(object):
"""
Structure that holds a list of images (of possibly
varying sizes) as a... | 4,718 | 40.394737 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/detectron2/structures/instances.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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 "f... | 6,207 | 32.376344 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/detectron2/structures/masks.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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):
... | 15,965 | 36.567059 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/detectron2/structures/rotated_boxes.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import math
from typing import Any, Iterator, Tuple, Union
import torch
from detectron2.layers.rotated_boxes import pairwise_iou_rotated
from .boxes import Boxes
class RotatedBoxes(Boxes):
"""
This structure stores a list of rotated boxe... | 18,148 | 36.653527 | 98 | py |
BMaskR-CNN | BMaskR-CNN-master/detectron2/structures/keypoints.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import numpy as np
from typing import Any, List, Tuple, Union
import torch
from detectron2.layers import interpolate
class Keypoints:
"""
Stores keypoint **annotation** data. GT Instances have a `gt_keypoints` property
containing the ... | 8,202 | 37.511737 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/detectron2/structures/boxes.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import math
import numpy as np
from enum import IntEnum, unique
from typing import Any, List, Tuple, Union
import torch
_RawBoxType = Union[List[float], Tuple[float, ...], torch.Tensor, np.ndarray]
@unique
class BoxMode(IntEnum):
"""
Enum... | 12,691 | 32.755319 | 97 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/PointRend/train_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
PointRend Training Script.
This script is a simplified version of the training script in detectron2/tools.
"""
import os
import torch
import detectron2.utils.comm as comm
from detectron2.checkpoint import DetectionChec... | 4,538 | 32.873134 | 93 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/PointRend/point_rend/color_augmentation.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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 ... | 3,045 | 29.767677 | 97 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/PointRend/point_rend/coarse_mask_head.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.layers import Conv2d, ShapeSpec
from detectron2.modeling import ROI_MASK_HEAD_REGISTRY
@ROI_MASK_HEAD_REGISTRY.regi... | 3,652 | 38.27957 | 99 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/PointRend/point_rend/dataset_mapper.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import logging
import numpy as np
import torch
from fvcore.common.file_io import PathManager
from fvcore.transforms.transform import CropTransform
from PIL import Image
from detectron2.data import detection_utils as utils
from detectron... | 4,873 | 38.95082 | 99 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/PointRend/point_rend/point_features.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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 ... | 9,757 | 43.967742 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/PointRend/point_rend/roi_heads.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import numpy as np
import torch
from detectron2.layers import ShapeSpec, cat, interpolate
from detectron2.modeling import ROI_HEADS_REGISTRY, StandardROIHeads
from detectron2.modeling.roi_heads.mask_head import (
build_m... | 10,320 | 44.267544 | 98 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/PointRend/point_rend/semantic_seg.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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 (
... | 5,708 | 41.288889 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/PointRend/point_rend/point_head.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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... | 6,682 | 41.297468 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/query_db.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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 fvcore.common.file_io import PathManager
from detectron2.data.catal... | 8,452 | 32.677291 | 96 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/apply_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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 get_cfg
from detectron2.data.detection_utils import read_i... | 11,091 | 33.77116 | 97 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/densepose_head.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import math
from dataclasses import dataclass
from enum import Enum
from typing import Iterable, List, Optional, Tuple
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from detectron... | 55,472 | 37.738128 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/evaluator.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import contextlib
import copy
import io
import itertools
import json
import logging
import os
from collections import OrderedDict
import torch
from fvcore.common.file_io import PathManager
from pycocotools.coco import COCO
... | 5,730 | 35.044025 | 99 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/roi_head.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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,... | 9,080 | 39.721973 | 99 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/vis/base.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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,
c... | 6,708 | 33.942708 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/vis/extractor.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
from typing import Sequence
import torch
from detectron2.layers.nms import batched_nms
from detectron2.structures.instances import Instances
from densepose.vis.bounding_box import BoundingBoxVisualizer, ScoredBoundingBoxVisualizer
f... | 5,076 | 32.183007 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/data/structures.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import base64
import numpy as np
from io import BytesIO
from typing import BinaryIO, Dict, Union
import torch
from PIL import Image
from torch.nn import functional as F
class DensePoseTransformData(object):
# Horizontal symmetry label transfo... | 25,296 | 40.133333 | 128 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/data/inference_based_loader.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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]]... | 4,766 | 36.242188 | 94 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/data/dataset_mapper.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import logging
from typing import Any, Dict, Tuple
import torch
from fvcore.common.file_io import PathManager
from detectron2.data import MetadataCatalog
from detectron2.data import detection_utils as utils
from... | 7,014 | 40.508876 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/data/build.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import itertools
import logging
import numpy as np
from typing import Any, Callable, Collection, Dict, Iterable, List, Optional, Sequence
import torch
from detectron2.config import CfgNode
from detectron2.data.build import (
build_batch_data_l... | 16,741 | 38.392941 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/data/video/video_keyframe_dataset.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import numpy as np
from typing import Callable, List, Optional
import torch
from fvcore.common.file_io import PathManager
from torch.utils.data.dataset import Dataset
import av
from ..utils import maybe_prep... | 6,686 | 35.741758 | 87 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/data/transform/image.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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 c... | 1,480 | 37.973684 | 79 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/densepose/modeling/test_time_augmentation.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
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 detectr... | 10,675 | 51.333333 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/tests/test_model_e2e.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import unittest
import torch
from detectron2.structures import BitMasks, Boxes, Instances
from .common import get_model
# TODO(plabatut): Modularize detectron2 tests and re-use
def make_model_inputs(image, instances=None):
if instances is ... | 1,158 | 25.340909 | 87 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/tests/test_image_resize_transform.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
import torch
from densepose.data.transform import ImageResizeTransform
class TestImageResizeTransform(unittest.TestCase):
def test_image_resize_1(self):
images_batch = torch.ones((3, 100, 100, 3), dtype=torch.uint8) *... | 657 | 37.705882 | 91 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/tests/common.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import os
import torch
from detectron2.config import get_cfg
from detectron2.engine import default_setup
from detectron2.modeling import build_model
from densepose import add_dataset_category_config, add_densepose_config
_BASE_CONFIG_DIR = "con... | 3,162 | 27.495495 | 98 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/DensePose/tests/test_video_keyframe_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import contextlib
import os
import random
import tempfile
import unittest
import torch
import torchvision.io as io
from densepose.data.transform import ImageResizeTransform
from densepose.data.video import RandomKFramesSelector, VideoKeyframeData... | 3,485 | 36.483871 | 95 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/TridentNet/tridentnet/trident_backbone.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import fvcore.nn.weight_init as weight_init
import torch
import torch.nn.functional as F
from detectron2.layers import Conv2d, FrozenBatchNorm2d, get_norm
from detectron2.modeling import BACKBONE_REGISTRY, ResNet, ResNetBlockBase, make_stage
from d... | 7,944 | 34.46875 | 97 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/TridentNet/tridentnet/trident_rpn.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from detectron2.modeling import PROPOSAL_GENERATOR_REGISTRY
from detectron2.modeling.proposal_generator.rpn import RPN
from detectron2.structures import ImageList
@PROPOSAL_GENERATOR_REGISTRY.register()
class TridentRPN(RPN):
"""... | 1,170 | 34.484848 | 90 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/TridentNet/tridentnet/trident_conv.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn.modules.utils import _pair
from detectron2.layers.wrappers import _NewEmptyTensorOp
class TridentConv(nn.Module):
def __init__(
self,
in_chan... | 3,888 | 35.009259 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/BMaskR-CNN/train_net.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Detection 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 ... | 6,453 | 36.523256 | 99 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/BMaskR-CNN/bmaskrcnn/cascade_rcnn.py | # Copyright (c) wondervictor. All Rights Reserved
import torch
from typing import Dict, List, Union
from detectron2.layers import ShapeSpec
from detectron2.structures import Instances
from detectron2.modeling.roi_heads.cascade_rcnn import CascadeROIHeads
from detectron2.modeling.poolers import ROIPooler
from .roi_hea... | 4,080 | 41.957895 | 99 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/BMaskR-CNN/bmaskrcnn/roi_heads.py | # Copyright (c) wondervictor. All Rights Reserved
import inspect
import logging
import numpy as np
from typing import Dict, List, Optional, Tuple, Union
import torch
from detectron2.layers import ShapeSpec
from detectron2.structures import Instances
from detectron2.modeling import ROI_HEADS_REGISTRY
from detectron2.... | 4,137 | 41.22449 | 99 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/BMaskR-CNN/bmaskrcnn/mask_head.py | # Copyright (c) wondervictor. All Rights Reserved
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.layers import Conv2d, ConvTranspose2d, ShapeSpec, cat, get_norm
from detectron2.structures import Instances
from d... | 11,100 | 39.514599 | 107 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/TensorMask/setup.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import glob
import os
from setuptools import find_packages, setup
import torch
from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
def get_extensions():
this_dir = os.path.dirname(os.path.abspath... | 2,060 | 28.442857 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/TensorMask/tensormask/arch.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import math
from typing import List
import torch
import torch.nn.functional as F
from fvcore.nn import sigmoid_focal_loss_star_jit, smooth_l1_loss
from torch import nn
from detectron2.layers import ShapeSpec, batched_nms, cat, paste_mas... | 42,133 | 45.098468 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/TensorMask/tensormask/layers/swap_align2nat.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from torch import nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from tensormask import _C
class _SwapAlign2Nat(Function):
@staticmethod
def forward(ctx, X, lambda_val, pad_val):
ctx... | 2,151 | 33.709677 | 93 | py |
BMaskR-CNN | BMaskR-CNN-master/projects/TensorMask/tests/test_swap_align2nat.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
import torch
from torch.autograd import gradcheck
from tensormask.layers.swap_align2nat import SwapAlign2Nat
class SwapAlign2NatTest(unittest.TestCase):
@unittest.skipIf(not torch.cuda.is_available(), "... | 1,068 | 31.393939 | 84 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/test_checkpoint.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
from collections import OrderedDict
import torch
from torch import nn
from detectron2.checkpoint.c2_model_loading import align_and_update_state_dicts
from detectron2.utils.logger import setup_logger
class TestCheckpointer(unittest... | 1,655 | 32.795918 | 79 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/test_model_analysis.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import unittest
import torch
import detectron2.model_zoo as model_zoo
from detectron2.config import get_cfg
from detectron2.modeling import build_model
from detectron2.utils.analysis import flop_count_operators, parameter_count
def get_model_z... | 1,946 | 32 | 81 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/test_config.py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import os
import tempfile
import unittest
import torch
from detectron2.config import configurable, downgrade_config, get_cfg, upgrade_config
from detectron2.layers import ShapeSpec
_V0_CFG = """
MODEL:
RPN_HEAD:
NAME:... | 7,333 | 29.431535 | 88 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/test_export_caffe2.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# -*- coding: utf-8 -*-
import copy
import numpy as np
import os
import tempfile
import unittest
import cv2
import torch
from fvcore.common.file_io import PathManager
from detectron2 import model_zoo
from detectron2.checkpoint import DetectionChec... | 2,606 | 35.208333 | 95 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/test_visualizer.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# File:
import numpy as np
import unittest
import cv2
import torch
from detectron2.data import MetadataCatalog
from detectron2.structures import BoxMode, Instances, RotatedBoxes
from detectron2.utils.visualizer import Visua... | 6,112 | 36.503067 | 93 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/layers/test_mask_ops.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import contextlib
import io
import numpy as np
import unittest
from collections import defaultdict
import torch
import tqdm
from fvcore.common.benchmark import benchmark
from fvcore.common.file_io import PathManager
from pyc... | 6,816 | 34.691099 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/layers/test_roi_align_rotated.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import cv2
import torch
from torch.autograd import Variable, gradcheck
from detectron2.layers.roi_align import ROIAlign
from detectron2.layers.roi_align_rotated import ROIAlignRotated
logger = logging.getLogger(__nam... | 6,736 | 37.062147 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/layers/test_nms_rotated.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import unittest
import torch
from torchvision import ops
from detectron2.layers import batched_nms, batched_nms_rotated, nms_rotated
def nms_edi... | 8,495 | 44.191489 | 96 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/layers/test_roi_align.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import numpy as np
import unittest
import cv2
import torch
from fvcore.common.benchmark import benchmark
from detectron2.layers.roi_align import ROIAlign
class ROIAlignTest(unittest.TestCase):
def test_forward_output(self):
input = np... | 5,389 | 34.228758 | 91 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/data/test_sampler.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import unittest
from torch.utils.data.sampler import SequentialSampler
from detectron2.data.samplers import GroupedBatchSampler
class TestGroupedBatchSampler(unittest.TestCase):
def test_missing_group_id(self):
sampler = SequentialSa... | 800 | 32.375 | 71 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/modeling/test_matcher.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
import torch
from detectron2.config import get_cfg
from detectron2.modeling.matcher import Matcher
from detectron2.utils.env import TORCH_VERSION
class TestMatcher(unittest.TestCase):
# need https://github.com/pytorch/pytorch/... | 1,783 | 40.488372 | 98 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/modeling/test_roi_pooler.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.modeling.poolers import ROIPooler
from detectron2.structures import Boxes, RotatedBoxes
logger = logging.getLogger(__name__)
class TestROIPooler(unittest.TestCase):
def _rand_boxes(... | 2,951 | 33.325581 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/modeling/test_fast_rcnn.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.layers import ShapeSpec
from detectron2.modeling.box_regression import Box2BoxTransform, Box2BoxTransformRotated
from detectron2.modeling.roi_heads.fast_rcnn import FastRCNNOutputLayers
fr... | 4,433 | 40.439252 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/modeling/test_model_e2e.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import numpy as np
import unittest
import torch
import detectron2.model_zoo as model_zoo
from detectron2.config import get_cfg
from detectron2.modeling import build_model
from detectron2.structures import BitMasks, Boxes, ImageList, Instances
fr... | 5,943 | 36.620253 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/modeling/test_box2box_transform.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.modeling.box_regression import Box2BoxTransform, Box2BoxTransformRotated
logger = logging.getLogger(__name__)
def random_boxes(mean_box, stdev, N):
return torch.rand(N, 4) * stdev +... | 2,509 | 37.615385 | 94 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/modeling/test_rpn.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.config import get_cfg
from detectron2.modeling.backbone import build_backbone
from detectron2.modeling.proposal_generator.build import build_proposal_generator
from detectron2.modeling.pro... | 10,647 | 44.504274 | 99 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/modeling/test_anchor_generator.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.config import get_cfg
from detectron2.layers import ShapeSpec
from detectron2.modeling.anchor_generator import DefaultAnchorGenerator, RotatedAnchorGenerator
from detectron2.utils.env impo... | 4,794 | 37.98374 | 95 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/modeling/test_roi_heads.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import unittest
import torch
from detectron2.config import get_cfg
from detectron2.layers import ShapeSpec
from detectron2.modeling.proposal_generator.build import build_proposal_generator
from detectron2.modeling.roi_heads import St... | 5,829 | 41.554745 | 97 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/structures/test_rotated_boxes.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
import math
import random
import unittest
import torch
from fvcore.common.benchmark import benchmark
from detectron2.layers.rotated_boxes import pairw... | 15,708 | 42.879888 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/structures/test_boxes.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import json
import math
import numpy as np
import unittest
import torch
from detectron2.structures import Boxes, BoxMode, pairwise_iou
from detectron2.utils.env import TORCH_VERSION
class TestBoxMode(unittest.TestCase):
def _convert_xy_to_wh(... | 7,290 | 36.582474 | 100 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/structures/test_imagelist.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
from typing import Sequence
import torch
from detectron2.structures import ImageList
class TestImageList(unittest.TestCase):
def test_imagelist_padding_shape(self):
class TensorToImageList(torch.nn.Module):
... | 1,294 | 32.205128 | 82 | py |
BMaskR-CNN | BMaskR-CNN-master/tests/structures/test_instances.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
import torch
from detectron2.structures import Instances
class TestInstancesIndexing(unittest.TestCase):
def test_int_indexing(self):
attr1 = torch.tensor([[0.0, 0.0, 1.0], [0.0, 0.0, 0.5], [0.0, 0.0, 1.0], [0.0, 0.5, ... | 908 | 33.961538 | 98 | py |
BMaskR-CNN | BMaskR-CNN-master/demo/predictor.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import atexit
import bisect
import multiprocessing as mp
from collections import deque
import cv2
import torch
from detectron2.data import MetadataCatalog
from detectron2.engine.defaults import DefaultPredictor
from detectron2.utils.video_visualize... | 7,864 | 34.588235 | 96 | py |
BMaskR-CNN | BMaskR-CNN-master/docs/conf.py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# flake8: noqa
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/maste... | 11,465 | 32.043228 | 140 | py |
BMaskR-CNN | BMaskR-CNN-master/dev/packaging/gen_install_table.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
template = """<details><summary> install </summary><pre><code>\
python -m pip install detectron2{d2_version} -f \\
https://dl.fbaipublicfiles.com/detectron2/wheels/{cuda}/torch{torch}/index.html
</code></pre> </details>"""
CUDA_SUFFIX = {"10.2": "cu102",... | 1,769 | 34.4 | 95 | py |
reeds | reeds-main/docs/sphinx_project/conf.py | # -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/stable/config
# -- Path setup ------------------------------------------------------------... | 5,838 | 29.097938 | 103 | py |
rationale-CNN | rationale-CNN-master/train_RA_CNN.py | from __future__ import print_function
import math
import csv
import random
random.seed(1337)
import pickle
import sys
csv.field_size_limit(sys.maxsize)
import os
import configparser
import optparse
import sklearn
from sklearn.metrics import accuracy_score
import pandas as pd
import numpy as np
import gensim
f... | 15,664 | 39.269923 | 124 | py |
rationale-CNN | rationale-CNN-master/rationale_CNN.py | '''
@authors Byron Wallace, Edward Banner, Ye Zhang, Iain Marshall
A Keras implementation of our "rationale augmented CNN" (https://arxiv.org/abs/1605.04469); see
reference below.
Please note that the model was originally implemented in Theano; results reported in the paper
are from said implementation. This version... | 40,674 | 45.699196 | 3,391 | py |
py-evm | py-evm-master/tests/core/transaction-utils/conftest.py | import pytest
# from https://github.com/ethereum/tests/blob/c951a3c105d600ccd8f1c3fc87856b2bcca3df0a/BasicTests/txtest.json # noqa: E501
TRANSACTION_FIXTURES = [
{
"chainId": None,
"key": "c85ef7d79691fe79573b1a7064c19c1a9819ebdbd1faaab1a8ec92344438aaf4",
"nonce": 0,
"gasPrice": 10... | 3,547 | 48.971831 | 423 | py |
TSD | TSD-master/code/unsupervise_adapt.py | # coding=utf-8
import argparse
import os
import sys
import time
import numpy as np
from tqdm import tqdm
import math
import time
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision.datasets import ImageFolder
from torchvision import transforms
from torch.utils.data import DataLoader
fro... | 11,506 | 48.813853 | 145 | py |
TSD | TSD-master/code/adapt_algorithm.py | import numpy as np
from copy import deepcopy
import torch
import torch.nn as nn
import torch.nn.functional as F
@torch.jit.script
def softmax_entropy(x: torch.Tensor) -> torch.Tensor:
"""Entropy of softmax distribution from logits."""
return -(x.softmax(1) * x.log_softmax(1)).sum(1)
def collect_params(mod... | 18,339 | 34.269231 | 100 | py |
TSD | TSD-master/code/alg/opt.py | # coding=utf-8
import torch
def get_params(alg, args, inner=False, alias=True):
if args.schuse:
if args.schusech == 'cos':
initlr = args.lr
else:
initlr = 1.0
else:
if inner:
initlr = args.inner_lr
else:
initlr = args.lr
if in... | 2,088 | 33.245902 | 126 | py |
TSD | TSD-master/code/alg/modelopera.py | # coding=utf-8
import torch
from network import img_network
def get_fea(args):
if args.dataset == 'dg5':
net = img_network.DTNBase()
elif args.net.startswith('res'):
net = img_network.ResBase(args.net)
elif args.net.startswith('vgg'):
net = img_network.VGGBase(args.net)
elif arg... | 1,079 | 26.692308 | 67 | py |
TSD | TSD-master/code/alg/algs/base.py | # coding=utf-8
import torch
class Algorithm(torch.nn.Module):
def __init__(self, args):
super(Algorithm, self).__init__()
def update(self, minibatches, opt, sch):
raise NotImplementedError
def predict(self, x):
raise NotImplementedError
| 278 | 17.6 | 44 | py |
TSD | TSD-master/code/alg/algs/ANDMask.py | # coding=utf-8
import torch
import torch.nn.functional as F
from alg.algs.ERM import ERM
import torch.autograd as autograd
class ANDMask(ERM):
def __init__(self, args):
super(ANDMask, self).__init__(args)
self.tau = args.tau
def update(self, minibatches, opt, sch):
total_loss = 0
... | 1,827 | 30.517241 | 77 | py |
TSD | TSD-master/code/alg/algs/MLDG.py | # coding=utf-8
import torch
import copy
import torch.nn.functional as F
from alg.opt import *
import torch.autograd as autograd
from datautil.util import random_pairs_of_minibatches_by_domainperm
from alg.algs.ERM import ERM
class MLDG(ERM):
def __init__(self, args):
super(MLDG, self).__init__(args)
... | 2,186 | 30.242857 | 89 | py |
TSD | TSD-master/code/alg/algs/MMD.py | # coding=utf-8
import torch
import torch.nn.functional as F
from alg.algs.ERM import ERM
class MMD(ERM):
def __init__(self, args):
super(MMD, self).__init__(args)
self.args = args
self.kernel_type = "gaussian"
def my_cdist(self, x1, x2):
x1_norm = x1.pow(2).sum(dim=-1, keepdi... | 2,026 | 29.712121 | 119 | py |
TSD | TSD-master/code/alg/algs/ERM.py | # coding=utf-8
import torch
import torch.nn as nn
import torch.nn.functional as F
from alg.modelopera import get_fea
from network import common_network
from alg.algs.base import Algorithm
class ERM(Algorithm):
"""
Empirical Risk Minimization (ERM)
"""
def __init__(self, args):
super(ERM, sel... | 1,056 | 26.102564 | 75 | py |
TSD | TSD-master/code/alg/algs/VREx.py | # coding=utf-8
import torch
import torch.nn.functional as F
from alg.algs.ERM import ERM
class VREx(ERM):
"""V-REx algorithm from http://arxiv.org/abs/2003.00688"""
def __init__(self, args):
super(VREx, self).__init__(args)
self.register_buffer('update_count', torch.tensor([0]))
self.... | 1,399 | 28.166667 | 75 | py |
TSD | TSD-master/code/alg/algs/GroupDRO.py | #coding=utf-8
import torch
import torch.nn.functional as F
from alg.algs.ERM import ERM
class GroupDRO(ERM):
"""
Robust ERM minimizes the error at the worst minibatch
Algorithm 1 from [https://arxiv.org/pdf/1911.08731.pdf]
"""
def __init__(self,args):
super(GroupDRO, self).__init__(args)
... | 1,056 | 26.815789 | 83 | py |
TSD | TSD-master/code/alg/algs/CORAL.py | # coding=utf-8
import torch
import torch.nn.functional as F
from alg.algs.ERM import ERM
class CORAL(ERM):
def __init__(self, args):
super(CORAL, self).__init__(args)
self.args = args
self.kernel_type = "mean_cov"
def coral(self, x, y):
mean_x = x.mean(0, keepdim=True)
... | 1,639 | 29.37037 | 121 | py |
TSD | TSD-master/code/alg/algs/RSC.py | # coding=utf-8
import numpy as np
import torch
import torch.nn.functional as F
import torch.autograd as autograd
from alg.algs.ERM import ERM
class RSC(ERM):
def __init__(self, args):
super(RSC, self).__init__(args)
self.drop_f = (1 - args.rsc_f_drop_factor) * 100
self.drop_b = (1 - args.... | 2,138 | 35.254237 | 75 | py |
TSD | TSD-master/code/alg/algs/Mixup.py | # coding=utf-8
import numpy as np
import torch.nn.functional as F
from datautil.util import random_pairs_of_minibatches
from alg.algs.ERM import ERM
class Mixup(ERM):
def __init__(self, args):
super(Mixup, self).__init__(args)
self.args = args
def update(self, minibatches, opt, sch):
... | 986 | 26.416667 | 94 | py |
TSD | TSD-master/code/alg/algs/DANN.py | # coding=utf-8
import torch
import torch.nn as nn
import torch.nn.functional as F
from alg.modelopera import get_fea
from network import Adver_network, common_network
from alg.algs.base import Algorithm
class DANN(Algorithm):
def __init__(self, args):
super(DANN, self).__init__(args)
self.feat... | 1,752 | 32.711538 | 96 | py |
TSD | TSD-master/code/datautil/getdataloader.py | # coding=utf-8
import numpy as np
import sklearn.model_selection as ms
from torch.utils.data import DataLoader
import datautil.imgdata.util as imgutil
from datautil.imgdata.imgdataload import ImageDataset
from datautil.mydataloader import InfiniteDataLoader
def get_img_dataloader(args):
rate = 0.2
trdatalist... | 2,418 | 40 | 144 | py |
TSD | TSD-master/code/datautil/util.py | # coding=utf-8
import numpy as np
import torch
def Nmax(test_envs, d):
for i in range(len(test_envs)):
if d < test_envs[i]:
return i
return len(test_envs)
def random_pairs_of_minibatches_by_domainperm(minibatches):
perm = torch.randperm(len(minibatches)).tolist()
pairs = []
... | 1,912 | 36.509804 | 112 | py |
TSD | TSD-master/code/datautil/mydataloader.py | # coding=utf-8
import torch
class _InfiniteSampler(torch.utils.data.Sampler):
"""Wraps another Sampler to yield an infinite stream."""
def __init__(self, sampler):
self.sampler = sampler
def __iter__(self):
while True:
for batch in self.sampler:
yield batch
... | 1,397 | 26.96 | 84 | py |
TSD | TSD-master/code/datautil/imgdata/util.py | # coding=utf-8
from torchvision import transforms
from PIL import Image, ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
def image_train(dataset, resize_size=256, crop_size=224):
if dataset == 'dg5':
return transforms.Compose([
transforms.Resize((32, 32)),
transforms.ToTensor(),
... | 1,595 | 28.018182 | 66 | py |
TSD | TSD-master/code/datautil/imgdata/imgdataload.py | # coding=utf-8
import os
import numpy as np
from torch.utils.data import Dataset
from torchvision.datasets import ImageFolder
from torchvision.datasets.folder import default_loader
from datautil.util import Nmax
from datautil.imgdata.util import rgb_loader, l_loader
class ImageDataset(object):
def __init__(self, ... | 2,262 | 33.815385 | 174 | py |
TSD | TSD-master/code/network/Adver_network.py | import torch
import torch.nn as nn
from torch.autograd import Function
class ReverseLayerF(Function):
@staticmethod
def forward(ctx, x, alpha):
ctx.alpha = alpha
return x.view_as(x)
@staticmethod
def backward(ctx, grad_output):
output = grad_output.neg() * ctx.alpha
re... | 964 | 25.805556 | 69 | py |
TSD | TSD-master/code/network/img_network.py | # coding=utf-8
import torch.nn as nn
from torchvision import models
import torchvision
import torch
import timm #load ViT or MLP-mixer
from network.common_network import Identity
vgg_dict = {"vgg11": models.vgg11, "vgg13": models.vgg13, "vgg16": models.vgg16, "vgg19": models.vgg19,
"vgg11bn": models.vgg11... | 5,703 | 30.688889 | 123 | py |
TSD | TSD-master/code/network/util.py | # coding=utf-8
import torch.nn as nn
import numpy as np
def calc_coeff(iter_num, high=1.0, low=0.0, alpha=10.0, max_iter=10000.0):
return np.float(2.0 * (high - low) / (1.0 + np.exp(-alpha*iter_num / max_iter)) - (high - low) + low)
def init_weights(m):
classname = m.__class__.__name__
if classname.find... | 688 | 31.809524 | 105 | py |
TSD | TSD-master/code/network/common_network.py | # coding=utf-8
import torch.nn as nn
from network.util import init_weights
import torch.nn.utils.weight_norm as weightNorm
class feat_bottleneck(nn.Module):
def __init__(self, feature_dim, bottleneck_dim=256, type="ori"):
super(feat_bottleneck, self).__init__()
self.bn = nn.BatchNorm1d(bottleneck_... | 1,859 | 28.52381 | 69 | py |
TSD | TSD-master/code/utils/util.py | # coding=utf-8
import random
import numpy as np
import torch
import sys
import os
import torchvision
import PIL
def set_random_seed(seed=0):
# seed setting
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)
torch.backends.cudnn.deterministic = True
... | 4,728 | 29.509677 | 83 | py |
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