repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
detectron2 | tests/test_visualizer.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import os
import tempfile
import unittest
import cv2
import torch
from detectron2.data import MetadataCatalog
from detectron2.structures import BoxMode, Instances, RotatedBoxes
from detectron2.utils.visualizer import ColorMo... | 279 | 10,454 |
detectron2 | tests/test_model_zoo.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
from detectron2 import model_zoo
from detectron2.config import instantiate
from detectron2.modeling import FPN, GeneralizedRCNN
logger = logging.getLogger(__name__)
class TestModelZoo(unittest.TestCase):
def test_get_returns_model... | 51 | 1,658 |
detectron2 | tests/test_checkpoint.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
import tempfile
import unittest
from collections import OrderedDict
import torch
from iopath.common.file_io import PathHandler, PathManager
from torch import nn
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.checkpoint.c2_model_loadi... | 106 | 4,249 |
detectron2 | tests/test_packaging.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
from detectron2.utils.collect_env import collect_env_info
class TestProjects(unittest.TestCase):
def test_import(self):
from detectron2.projects import point_rend
_ = point_rend.add_pointrend_config
import detectron2.pro... | 25 | 614 |
detectron2 | tests/layers/test_blocks.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from torch import nn
from detectron2.layers import ASPP, DepthwiseSeparableConv2d, FrozenBatchNorm2d
from detectron2.modeling.backbone.resnet import BasicStem, ResNet
"""
Test for misc layers.
"""
class TestBlocks(unittest.TestCase):
... | 52 | 1,807 |
detectron2 | tests/layers/test_roi_align_rotated.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
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(__name__)
class ROIAlig... | 177 | 6,716 |
detectron2 | tests/layers/test_roi_align.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import unittest
from copy import copy
import cv2
import torch
from fvcore.common.benchmark import benchmark
from torch.nn import functional as F
from detectron2.layers.roi_align import ROIAlign, roi_align
class ROIAlignTest(unittest.TestCase):
... | 211 | 7,766 |
detectron2 | tests/layers/test_deformable.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import unittest
import torch
from detectron2.layers import DeformConv, ModulatedDeformConv
from detectron2.utils.env import TORCH_VERSION
@unittest.skipIf(
TORCH_VERSION == (1, 8) and torch.cuda.is_available(),
"This test fails under cuda1... | 176 | 7,636 |
detectron2 | tests/layers/test_losses.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import unittest
import torch
from detectron2.layers import ciou_loss, diou_loss
class TestLosses(unittest.TestCase):
def test_diou_loss(self):
"""
loss = 1 - iou + d/c
where,
d = (distance between centers of the... | 83 | 3,045 |
detectron2 | tests/layers/test_mask_ops.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
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 pycocotools.coco import COCO
from tabulate import tabulate
from torch... | 203 | 7,265 |
detectron2 | tests/layers/test_nms_rotated.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import unittest
from copy import deepcopy
import torch
from torchvision import ops
from detectron2.layers import batched_nms, batched_nms_rotated, nms_rotated
from de... | 173 | 7,367 |
detectron2 | tests/layers/test_nms.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from __future__ import absolute_import, division, print_function, unicode_literals
import unittest
import torch
from detectron2.layers import batched_nms
from detectron2.utils.testing import random_boxes
class TestNMS(unittest.TestCase):
def _create_tensors(self... | 34 | 1,176 |
detectron2 | tests/export/test_c10.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
try:
# Caffe2 used to be included in PyTorch, but since PyTorch 1.10+,
# it is not included in pre-built packages. This is a safety BC check
from detectron2.config import get_cfg
from detectron2.export.c10 import Caffe2RPN
from dete... | 26 | 950 |
detectron2 | tests/modeling/test_fast_rcnn.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
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
from detectron2.modeli... | 172 | 7,038 |
detectron2 | tests/modeling/test_anchor_generator.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
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
logger = logging.getLogger(__name__)
class Test... | 121 | 4,723 |
detectron2 | tests/modeling/test_roi_heads.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
from copy import deepcopy
import torch
from torch import nn
from detectron2 import model_zoo
from detectron2.config import get_cfg
from detectron2.export.torchscript_patch import (
freeze_training_mode,
patch_builtin_len,
pat... | 324 | 13,987 |
detectron2 | tests/modeling/test_model_e2e.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import unittest
from contextlib import contextmanager
from copy import deepcopy
import torch
from detectron2.structures import BitMasks, Boxes, ImageList, Instances
from detectron2.utils.events import EventStorage
from detectron2.utils.testing impor... | 228 | 8,650 |
detectron2 | tests/modeling/test_roi_pooler.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
import torch
from detectron2.modeling.poolers import ROIPooler
from detectron2.structures import Boxes, RotatedBoxes
from detectron2.utils.testing import random_boxes
logger = logging.getLogger(__name__)
class TestROIPooler(unittest.T... | 166 | 5,688 |
detectron2 | tests/modeling/test_rpn.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
import torch
from detectron2.config import get_cfg
from detectron2.export import scripting_with_instances
from detectron2.layers import ShapeSpec
from detectron2.modeling.backbone import build_backbone
from detectron2.modeling.proposal_g... | 263 | 11,270 |
detectron2 | tests/modeling/test_matcher.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
from typing import List
import torch
from detectron2.config import get_cfg
from detectron2.modeling.matcher import Matcher
class TestMatcher(unittest.TestCase):
def test_scriptability(self):
cfg = get_cfg()
anchor_matcher = Matche... | 43 | 1,663 |
detectron2 | tests/modeling/test_backbone.py | .py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
import torch
import detectron2.export.torchscript # apply patch # noqa
from detectron2 import model_zoo
from detectron2.config import get_cfg
from detectron2.layers import ShapeSpec
from detectron2.modeling.backbone import build_r... | 35 | 1,181 |
detectron2 | tests/modeling/test_box2box_transform.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import unittest
import torch
from detectron2.modeling.box_regression import (
Box2BoxTransform,
Box2BoxTransformLinear,
Box2BoxTransformRotated,
)
from detectron2.utils.testing import random_boxes
logger = logging.getLogger(__name__)
clas... | 95 | 3,647 |
detectron2 | tests/modeling/test_mmdet.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
from detectron2.layers import ShapeSpec
from detectron2.modeling.mmdet_wrapper import MMDetBackbone, MMDetDetector
try:
import mmdet.models # noqa
HAS_MMDET = True
except ImportError:
HAS_MMDET = False
@unittest.skipIf(not HAS_MMDET, "... | 187 | 7,426 |
detectron2 | tests/tracking/test_bbox_iou_tracker.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import unittest
from copy import deepcopy
from typing import Dict
import torch
from detectron2.config import CfgNode as CfgNode_
from detectron2.config import instantiate
from detectron2.structures import Boxes, Instances
from detectron2.tracking.ba... | 161 | 6,771 |
detectron2 | tests/tracking/test_hungarian_tracker.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import unittest
from typing import Dict
import torch
from detectron2.config import instantiate
from detectron2.structures import Boxes, Instances
class TestBaseHungarianTracker(unittest.TestCase):
def setUp(self):
self._img_size = np.a... | 103 | 3,955 |
detectron2 | tests/tracking/test_vanilla_hungarian_bbox_iou_tracker.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import numpy as np
import unittest
from typing import Dict
import torch
from detectron2.config import CfgNode as CfgNode_
from detectron2.config import instantiate
from detectron2.structures import Boxes, Instances
from detectron2.tracking.base_tracker imp... | 226 | 10,388 |
detectron2 | tests/tracking/test_iou_weighted_hungarian_bbox_iou_tracker.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import numpy as np
import unittest
from typing import Dict
import torch
from detectron2.config import CfgNode as CfgNode_
from detectron2.config import instantiate
from detectron2.structures import Boxes, Instances
from detectron2.tracking.base_tracker imp... | 226 | 10,496 |
detectron2 | tests/config/test_instantiate_config.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
import tempfile
import unittest
import yaml
from omegaconf import OmegaConf
from omegaconf import __version__ as oc_version
from dataclasses import dataclass
from detectron2.config import LazyConfig, instantiate, LazyCall as L
from detectron2.layers import ... | 110 | 3,807 |
detectron2 | tests/config/test_yacs_config.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import tempfile
import unittest
import torch
from omegaconf import OmegaConf
from detectron2 import model_zoo
from detectron2.config import configurable, downgrade_config, get_cfg, upgrade_config
from detectron2.layers import ShapeSpe... | 271 | 8,458 |
detectron2 | tests/config/test_lazy_config.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
import unittest
import tempfile
from itertools import count
from detectron2.config import LazyConfig, LazyCall as L
from omegaconf import DictConfig
class TestLazyPythonConfig(unittest.TestCase):
def setUp(self):
self.curr_dir = os.path.dirname... | 99 | 3,477 |
detectron2 | tests/config/dir1/dir1_a.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
dir1a_str = "base_a_1"
dir1a_dict = {"a": 1, "b": 2}
| 4 | 104 |
detectron2 | tests/config/dir1/dir1_b.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.config import LazyConfig
# equivalent to relative import
dir1a_str, dir1a_dict = LazyConfig.load_rel("dir1_a.py", ("dir1a_str", "dir1a_dict"))
dir1b_str = dir1a_str + "_from_b"
dir1b_dict = dir1a_dict
# Every import is a reload: not modified by other... | 12 | 359 |
detectron2 | tests/config/dir1/load_rel.py | .py | # test that load_rel can work
from detectron2.config import LazyConfig
x = LazyConfig.load_rel("dir1_a.py", "dir1a_dict")
assert x["a"] == 1
| 6 | 142 |
detectron2 | tests/utils/test_tensorboardx.py | .py | import os
import tempfile
import unittest
from detectron2.utils.events import TensorboardXWriter
# TODO Fix up capitalization
class TestTensorboardXWriter(unittest.TestCase):
def test_no_files_created(self) -> None:
with tempfile.TemporaryDirectory() as tmp_dir:
writer = TensorboardXWriter(tm... | 24 | 683 |
detectron2 | tests/structures/test_masks.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from detectron2.structures.masks import BitMasks, PolygonMasks, polygons_to_bitmask
class TestBitMask(unittest.TestCase):
def test_get_bounding_box(self):
masks = torch.tensor(
[
[
... | 54 | 2,003 |
detectron2 | tests/structures/test_instances.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from torch import Tensor
from detectron2.export.torchscript import patch_instances
from detectron2.structures import Boxes, Instances
from detectron2.utils.testing import convert_scripted_instances
class TestInstances(unittest.TestCase):... | 220 | 8,466 |
detectron2 | tests/structures/test_boxes.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import json
import math
import numpy as np
import unittest
import torch
from detectron2.structures import Boxes, BoxMode, pairwise_ioa, pairwise_iou
from detectron2.utils.testing import reload_script_model
class TestBoxMode(unittest.TestCase):
def _convert_xy_to... | 224 | 8,354 |
detectron2 | tests/structures/test_rotated_boxes.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
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 pairwise_iou_rotated
from... | 442 | 18,662 |
detectron2 | tests/structures/test_imagelist.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
from typing import List, Sequence, Tuple
import torch
from detectron2.structures import ImageList
class TestImageList(unittest.TestCase):
def test_imagelist_padding_tracing(self):
# test that the trace does not contain hard-coded constan... | 76 | 2,976 |
detectron2 | tests/structures/test_keypoints.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import unittest
import torch
from detectron2.structures.keypoints import Keypoints
class TestKeypoints(unittest.TestCase):
def test_cat_keypoints(self):
keypoints1 = Keypoints(torch.rand(2, 21, 3))
keypoints2 = Keypoints(torch.rand(4, 21, 3))
... | 20 | 610 |
detectron2 | tests/data/test_rotation_transform.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import unittest
from detectron2.data.transforms.transform import RotationTransform
class TestRotationTransform(unittest.TestCase):
def assertEqualsArrays(self, a1, a2):
self.assertTrue(np.allclose(a1, a2))
def randomData(self, h=5... | 72 | 3,273 |
detectron2 | tests/data/test_sampler.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import itertools
import math
import operator
import unittest
import torch
from torch.utils import data
from torch.utils.data.sampler import SequentialSampler
from detectron2.data.build import worker_init_reset_seed
from detectron2.data.common import DatasetFromList, T... | 112 | 3,907 |
detectron2 | tests/data/test_transforms.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import numpy as np
import unittest
from unittest import mock
import torch
from PIL import Image, ImageOps
from torch.nn import functional as F
from detectron2.config import get_cfg
from detectron2.data import detection_utils
fro... | 269 | 11,260 |
detectron2 | tests/data/test_coco_evaluation.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import contextlib
import copy
import io
import json
import numpy as np
import os
import tempfile
import unittest
import torch
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
from detectron2.data import DatasetCatalog
from detectron2.evaluat... | 139 | 8,798 |
detectron2 | tests/data/test_coco.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import json
import numpy as np
import os
import tempfile
import unittest
import pycocotools.mask as mask_util
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.data.datasets.coco import convert_to_coco_dict, load_coco_json
from detectron2.str... | 140 | 4,241 |
detectron2 | tests/data/test_detection_utils.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import numpy as np
import os
import unittest
import pycocotools.mask as mask_util
from detectron2.data import MetadataCatalog, detection_utils
from detectron2.data import transforms as T
from detectron2.structures import BitMasks, BoxMode
from detectron2.... | 177 | 6,973 |
detectron2 | tests/data/test_dataset.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
import pickle
import sys
import unittest
from functools import partial
import torch
from iopath.common.file_io import LazyPath
from detectron2 import model_zoo
from detectron2.config import get_cfg, instantiate
from detectron2.data import (
DatasetCatal... | 211 | 7,512 |
detectron2 | projects/TridentNet/train_net.py | .py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
TridentNet Training Script.
This script is a simplified version of the training script in detectron2/tools.
"""
import os
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import get_cfg
from detectron2.engine... | 72 | 1,822 |
detectron2 | projects/TridentNet/tridentnet/trident_rcnn.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.layers import batched_nms
from detectron2.modeling import ROI_HEADS_REGISTRY, StandardROIHeads
from detectron2.modeling.roi_heads.roi_heads import Res5ROIHeads
from detectron2.structures import Instances
def merge_branch_instances(instances, num_branc... | 117 | 4,343 |
detectron2 | projects/TridentNet/tridentnet/trident_conv.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
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_channels,
out_ch... | 108 | 3,868 |
detectron2 | projects/TridentNet/tridentnet/__init__.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from .config import add_tridentnet_config
from .trident_backbone import (
TridentBottleneckBlock,
build_trident_resnet_backbone,
make_trident_stage,
)
from .trident_rpn import TridentRPN
from .trident_rcnn import TridentRes5ROIHeads, TridentStandardROIHeads... | 10 | 321 |
detectron2 | projects/TridentNet/tridentnet/trident_backbone.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
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
from detectron2.modeling.backbone.resn... | 221 | 7,846 |
detectron2 | projects/TridentNet/tridentnet/config.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.config import CfgNode as CN
def add_tridentnet_config(cfg):
"""
Add config for tridentnet.
"""
_C = cfg
_C.MODEL.TRIDENT = CN()
# Number of branches for TridentNet.
_C.MODEL.TRIDENT.NUM_BRANCH = 3... | 27 | 880 |
detectron2 | projects/TridentNet/tridentnet/trident_rpn.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
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):
"""
Trident RPN sub... | 33 | 1,150 |
detectron2 | projects/ViTDet/configs/COCO/cascade_mask_rcnn_mvitv2_b_in21k_100ep.py | .py | from functools import partial
import torch.nn as nn
from fvcore.common.param_scheduler import MultiStepParamScheduler
from detectron2 import model_zoo
from detectron2.config import LazyCall as L
from detectron2.solver import WarmupParamScheduler
from detectron2.modeling import MViT
from detectron2.layers import ShapeS... | 96 | 3,164 |
detectron2 | projects/ViTDet/configs/COCO/cascade_mask_rcnn_swin_b_in21k_50ep.py | .py | from fvcore.common.param_scheduler import MultiStepParamScheduler
from detectron2 import model_zoo
from detectron2.config import LazyCall as L
from detectron2.solver import WarmupParamScheduler
from detectron2.modeling import SwinTransformer
from ..common.coco_loader_lsj import dataloader
from .cascade_mask_rcnn_mvit... | 51 | 1,631 |
detectron2 | projects/ViTDet/configs/COCO/cascade_mask_rcnn_vitdet_l_100ep.py | .py | from functools import partial
from .cascade_mask_rcnn_vitdet_b_100ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
get_vit_lr_decay_rate,
)
train.init_checkpoint = (
"detectron2://ImageNetPretrained/MAE/mae_pretrain_vit_large.pth?matching_heuristics=True"
)
model.backbone.n... | 26 | 714 |
detectron2 | projects/ViTDet/configs/COCO/mask_rcnn_vitdet_l_100ep.py | .py | from functools import partial
from .mask_rcnn_vitdet_b_100ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
get_vit_lr_decay_rate,
)
train.init_checkpoint = (
"detectron2://ImageNetPretrained/MAE/mae_pretrain_vit_large.pth?matching_heuristics=True"
)
model.backbone.net.embed... | 26 | 706 |
detectron2 | projects/ViTDet/configs/COCO/cascade_mask_rcnn_vitdet_b_100ep.py | .py | from detectron2.config import LazyCall as L
from detectron2.layers import ShapeSpec
from detectron2.modeling.box_regression import Box2BoxTransform
from detectron2.modeling.matcher import Matcher
from detectron2.modeling.roi_heads import (
FastRCNNOutputLayers,
FastRCNNConvFCHead,
CascadeROIHeads,
)
from .... | 49 | 1,424 |
detectron2 | projects/ViTDet/configs/COCO/cascade_mask_rcnn_vitdet_h_75ep.py | .py | from functools import partial
from .cascade_mask_rcnn_vitdet_b_100ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
get_vit_lr_decay_rate,
)
train.init_checkpoint = (
"detectron2://ImageNetPretrained/MAE/mae_pretrain_vit_huge_p14to16.pth?matching_heuristics=True"
)
model.bac... | 34 | 1,023 |
detectron2 | projects/ViTDet/configs/COCO/cascade_mask_rcnn_mvitv2_h_in21k_36ep.py | .py | from fvcore.common.param_scheduler import MultiStepParamScheduler
from detectron2.config import LazyCall as L
from detectron2.solver import WarmupParamScheduler
from .cascade_mask_rcnn_mvitv2_b_in21k_100ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
)
model.backbone.bottom_up.emb... | 40 | 992 |
detectron2 | projects/ViTDet/configs/COCO/cascade_mask_rcnn_swin_l_in21k_50ep.py | .py | from .cascade_mask_rcnn_swin_b_in21k_50ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
)
model.backbone.bottom_up.depths = [2, 2, 18, 2]
model.backbone.bottom_up.drop_path_rate = 0.4
model.backbone.bottom_up.embed_dim = 192
model.backbone.bottom_up.num_heads = [6, 12, 24, 48]
trai... | 16 | 417 |
detectron2 | projects/ViTDet/configs/COCO/mask_rcnn_vitdet_b_100ep.py | .py | from functools import partial
from fvcore.common.param_scheduler import MultiStepParamScheduler
from detectron2 import model_zoo
from detectron2.config import LazyCall as L
from detectron2.solver import WarmupParamScheduler
from detectron2.modeling.backbone.vit import get_vit_lr_decay_rate
from ..common.coco_loader_l... | 41 | 1,285 |
detectron2 | projects/ViTDet/configs/COCO/cascade_mask_rcnn_mvitv2_l_in21k_50ep.py | .py | from .cascade_mask_rcnn_mvitv2_b_in21k_100ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
)
model.backbone.bottom_up.embed_dim = 144
model.backbone.bottom_up.depth = 48
model.backbone.bottom_up.num_heads = 2
model.backbone.bottom_up.last_block_indexes = (1, 7, 43, 47)
model.backbone... | 23 | 659 |
detectron2 | projects/ViTDet/configs/COCO/mask_rcnn_vitdet_h_75ep.py | .py | from functools import partial
from .mask_rcnn_vitdet_b_100ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
get_vit_lr_decay_rate,
)
train.init_checkpoint = (
"detectron2://ImageNetPretrained/MAE/mae_pretrain_vit_huge_p14to16.pth?matching_heuristics=True"
)
model.backbone.ne... | 34 | 1,015 |
detectron2 | projects/ViTDet/configs/LVIS/mask_rcnn_vitdet_h_100ep.py | .py | from functools import partial
from detectron2.modeling.backbone.vit import get_vit_lr_decay_rate
from .mask_rcnn_vitdet_b_100ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
)
train.init_checkpoint = (
"detectron2://ImageNetPretrained/MAE/mae_pretrain_vit_huge_p14to16.pth?match... | 31 | 849 |
detectron2 | projects/ViTDet/configs/LVIS/cascade_mask_rcnn_mvitv2_b_in21k_100ep.py | .py | from functools import partial
import torch.nn as nn
from detectron2.config import LazyCall as L
from detectron2.data.detection_utils import get_fed_loss_cls_weights
from detectron2.data.samplers import RepeatFactorTrainingSampler
from detectron2.evaluation.lvis_evaluation import LVISEvaluator
from ..COCO.cascade_mask... | 49 | 1,622 |
detectron2 | projects/ViTDet/configs/LVIS/cascade_mask_rcnn_swin_b_in21k_50ep.py | .py | from detectron2.config.lazy import LazyCall as L
from detectron2.data.detection_utils import get_fed_loss_cls_weights
from detectron2.data.samplers import RepeatFactorTrainingSampler
from detectron2.evaluation.lvis_evaluation import LVISEvaluator
from ..COCO.cascade_mask_rcnn_swin_b_in21k_50ep import (
dataloader,... | 50 | 1,755 |
detectron2 | projects/ViTDet/configs/LVIS/cascade_mask_rcnn_vitdet_l_100ep.py | .py | from detectron2.config import LazyCall as L
from detectron2.data.detection_utils import get_fed_loss_cls_weights
from detectron2.layers import ShapeSpec
from detectron2.modeling.box_regression import Box2BoxTransform
from detectron2.modeling.matcher import Matcher
from detectron2.modeling.roi_heads import FastRCNNOutpu... | 52 | 1,710 |
detectron2 | projects/ViTDet/configs/LVIS/mask_rcnn_vitdet_l_100ep.py | .py | from functools import partial
from detectron2.modeling.backbone.vit import get_vit_lr_decay_rate
from .mask_rcnn_vitdet_b_100ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
)
train.init_checkpoint = (
"detectron2://ImageNetPretrained/MAE/mae_pretrain_vit_large.pth?matching_heu... | 27 | 747 |
detectron2 | projects/ViTDet/configs/LVIS/cascade_mask_rcnn_vitdet_b_100ep.py | .py | from detectron2.config import LazyCall as L
from detectron2.data.detection_utils import get_fed_loss_cls_weights
from detectron2.layers import ShapeSpec
from detectron2.modeling.box_regression import Box2BoxTransform
from detectron2.modeling.matcher import Matcher
from detectron2.modeling.roi_heads import FastRCNNOutpu... | 52 | 1,710 |
detectron2 | projects/ViTDet/configs/LVIS/cascade_mask_rcnn_swin_l_in21k_50ep.py | .py | from .cascade_mask_rcnn_swin_b_in21k_50ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
)
model.backbone.bottom_up.embed_dim = 192
model.backbone.bottom_up.num_heads = [6, 12, 24, 48]
train.init_checkpoint = "detectron2://ImageNetPretrained/swin/swin_large_patch4_window7_224_22k.pth... | 13 | 322 |
detectron2 | projects/ViTDet/configs/LVIS/mask_rcnn_vitdet_b_100ep.py | .py | from detectron2.config import LazyCall as L
from detectron2.data.samplers import RepeatFactorTrainingSampler
from detectron2.evaluation.lvis_evaluation import LVISEvaluator
from detectron2.data.detection_utils import get_fed_loss_cls_weights
from ..COCO.mask_rcnn_vitdet_b_100ep import (
dataloader,
model,
... | 45 | 1,488 |
detectron2 | projects/ViTDet/configs/LVIS/cascade_mask_rcnn_mvitv2_l_in21k_50ep.py | .py | from .cascade_mask_rcnn_mvitv2_b_in21k_100ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
)
model.backbone.bottom_up.embed_dim = 144
model.backbone.bottom_up.depth = 48
model.backbone.bottom_up.num_heads = 2
model.backbone.bottom_up.last_block_indexes = (1, 7, 43, 47)
model.backbone... | 25 | 730 |
detectron2 | projects/ViTDet/configs/LVIS/cascade_mask_rcnn_vitdet_h_100ep.py | .py | from detectron2.config import LazyCall as L
from detectron2.data.detection_utils import get_fed_loss_cls_weights
from detectron2.layers import ShapeSpec
from detectron2.modeling.box_regression import Box2BoxTransform
from detectron2.modeling.matcher import Matcher
from detectron2.modeling.roi_heads import FastRCNNOutpu... | 52 | 1,710 |
detectron2 | projects/ViTDet/configs/LVIS/cascade_mask_rcnn_mvitv2_h_in21k_50ep.py | .py | from .cascade_mask_rcnn_mvitv2_b_in21k_100ep import (
dataloader,
lr_multiplier,
model,
train,
optimizer,
)
model.backbone.bottom_up.embed_dim = 192
model.backbone.bottom_up.depth = 80
model.backbone.bottom_up.num_heads = 3
model.backbone.bottom_up.last_block_indexes = (3, 11, 71, 79)
model.backbon... | 26 | 782 |
detectron2 | projects/ViTDet/configs/common/coco_loader_lsj.py | .py | import detectron2.data.transforms as T
from detectron2 import model_zoo
from detectron2.config import LazyCall as L
# Data using LSJ
image_size = 1024
dataloader = model_zoo.get_config("common/data/coco.py").dataloader
dataloader.train.mapper.augmentations = [
L(T.RandomFlip)(horizontal=True), # flip first
L(... | 23 | 793 |
detectron2 | projects/Rethinking-BatchNorm/retinanet-eval-domain-specific.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
import sys
import torch
from fvcore.nn.precise_bn import update_bn_stats
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import LazyConfig, instantiate
from detectron2.evaluation import inference_on_dataset
from det... | 36 | 1,216 |
detectron2 | projects/Rethinking-BatchNorm/configs/mask_rcnn_SyncBNhead.py | .py | from .mask_rcnn_BNhead import model, dataloader, lr_multiplier, optimizer, train
model.roi_heads.box_head.conv_norm = model.roi_heads.mask_head.conv_norm = "SyncBN"
| 4 | 166 |
detectron2 | projects/Rethinking-BatchNorm/configs/mask_rcnn_BNhead.py | .py | from detectron2.model_zoo import get_config
model = get_config("common/models/mask_rcnn_fpn.py").model
model.backbone.bottom_up.freeze_at = 2
model.roi_heads.box_head.conv_norm = model.roi_heads.mask_head.conv_norm = "BN"
# 4conv1fc head
model.roi_heads.box_head.conv_dims = [256, 256, 256, 256]
model.roi_heads.box_h... | 19 | 683 |
detectron2 | projects/Rethinking-BatchNorm/configs/mask_rcnn_BNhead_shuffle.py | .py | import math
import torch
import torch.distributed as dist
from detectron2.modeling.roi_heads import FastRCNNConvFCHead, MaskRCNNConvUpsampleHead
from detectron2.utils import comm
from fvcore.nn.distributed import differentiable_all_gather
def concat_all_gather(input):
bs_int = input.shape[0]
size_list = comm... | 75 | 2,320 |
detectron2 | projects/Rethinking-BatchNorm/configs/retinanet_SyncBNhead_SharedTraining.py | .py | from typing import List
import torch
from torch import Tensor, nn
from detectron2.modeling.meta_arch.retinanet import RetinaNetHead
def apply_sequential(inputs, modules):
for mod in modules:
if isinstance(mod, (nn.BatchNorm2d, nn.SyncBatchNorm)):
# for BN layer, normalize all inputs together
... | 33 | 1,160 |
detectron2 | projects/Rethinking-BatchNorm/configs/mask_rcnn_BNhead_batch_stats.py | .py | from torch.nn import BatchNorm2d
from torch.nn import functional as F
class BatchNormBatchStat(BatchNorm2d):
"""
BN that uses batch stat in inference
"""
def forward(self, input):
if self.training:
return super().forward(input)
return F.batch_norm(input, None, None, self.w... | 21 | 700 |
detectron2 | projects/Rethinking-BatchNorm/configs/retinanet_SyncBNhead.py | .py | from detectron2.model_zoo import get_config
from torch import nn
model = get_config("common/models/retinanet.py").model
model.backbone.bottom_up.freeze_at = 2
# The head will overwrite string "SyncBN" to use domain-specific BN, so we
# provide a class here to use shared BN in training.
model.head.norm = nn.SyncBatchN... | 20 | 689 |
detectron2 | projects/PointRend/train_net.py | .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 detectron2.data.transforms as T
import detectron2.utils.comm as comm
from detectron2.checkpoint import Detecti... | 152 | 4,911 |
detectron2 | projects/PointRend/point_rend/roi_heads.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from detectron2.modeling import ROI_HEADS_REGISTRY, StandardROIHeads
@ROI_HEADS_REGISTRY.register()
class PointRendROIHeads(StandardROIHeads):
"""
Identical to StandardROIHeads, except for some weights conversion code to
handle old models.... | 50 | 2,017 |
detectron2 | projects/PointRend/point_rend/color_augmentation.py | .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... | 99 | 3,025 |
detectron2 | projects/PointRend/point_rend/mask_head.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
import numpy as np
from typing import Dict, List, Tuple
import fvcore.nn.weight_init as weight_init
import torch
from torch import Tensor, nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.lay... | 436 | 19,524 |
detectron2 | projects/PointRend/point_rend/point_head.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
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.utils.events import get_event_storage
from detectron2.utils.registry impo... | 283 | 11,930 |
detectron2 | projects/PointRend/point_rend/point_features.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from torch.nn import functional as F
from detectron2.layers import cat, shapes_to_tensor
from detectron2.structures import BitMasks, Boxes
"""
Shape shorthand in this module:
N: minibatch dimension size, i.e. the number of RoIs for instance segmena... | 260 | 11,707 |
detectron2 | projects/PointRend/point_rend/semantic_seg.py | .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... | 136 | 5,713 |
detectron2 | projects/PointRend/point_rend/config.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
from detectron2.config import CfgNode as CN
def add_pointrend_config(cfg):
"""
Add config for PointRend.
"""
# We retry random cropping until no single category in semantic segmentation GT occupies more
# than `SINGLE_CATE... | 59 | 2,497 |
detectron2 | projects/DeepLab/train_net.py | .py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
DeepLab Training Script.
This script is a simplified version of the training script in detectron2/tools.
"""
import os
import detectron2.data.transforms as T
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config i... | 141 | 4,513 |
detectron2 | projects/DeepLab/deeplab/build_solver.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from detectron2.config import CfgNode
from detectron2.solver import LRScheduler
from detectron2.solver import build_lr_scheduler as build_d2_lr_scheduler
from .lr_scheduler import WarmupPolyLR
def build_lr_scheduler(cfg: CfgNode, optimizer: torch.optim... | 28 | 893 |
detectron2 | projects/DeepLab/deeplab/resnet.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import fvcore.nn.weight_init as weight_init
import torch.nn.functional as F
from detectron2.layers import CNNBlockBase, Conv2d, get_norm
from detectron2.modeling import BACKBONE_REGISTRY
from detectron2.modeling.backbone.resnet import (
BasicStem,
BottleneckBl... | 159 | 5,797 |
detectron2 | projects/DeepLab/deeplab/semantic_seg.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Callable, Dict, List, 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 ASPP, Conv2d, De... | 349 | 14,826 |
detectron2 | projects/DeepLab/deeplab/loss.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
import torch.nn as nn
class DeepLabCE(nn.Module):
"""
Hard pixel mining with cross entropy loss, for semantic segmentation.
This is used in TensorFlow DeepLab frameworks.
Paper: DeeperLab: Single-Shot Image Parser
Reference: https://g... | 41 | 1,776 |
detectron2 | projects/DeepLab/deeplab/lr_scheduler.py | .py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import List
import torch
from detectron2.solver.lr_scheduler import LRScheduler, _get_warmup_factor_at_iter
# NOTE: PyTorch's LR scheduler interface uses names that assume the LR changes
# only on epoch boundaries. We typically use iteration b... | 63 | 2,385 |
detectron2 | projects/DeepLab/deeplab/config.py | .py | # -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.
def add_deeplab_config(cfg):
"""
Add config for DeepLab.
"""
# We retry random cropping until no single category in semantic segmentation GT occupies more
# than `SINGLE_CATEGORY_MAX_AREA` part of the crop.
cfg.INPUT.CR... | 29 | 1,157 |
detectron2 | projects/PointSup/train_net.py | .py | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Point supervision Training Script.
This script is a simplified version of the training script in detectron2/tools.
"""
import os
import detectron2.utils.comm as comm
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.co... | 120 | 4,044 |
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