repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
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ERD | ERD-main/projects/DiffusionDet/diffusiondet/head.py | # Copyright (c) OpenMMLab. All rights reserved.
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Modified from https://github.com/ShoufaChen/DiffusionDet/blob/main/diffusiondet/detector.py # noqa
# Modified from https://github.com/ShoufaChen/DiffusionDet/blob/main/diffusiondet/head.py # noq... | 43,032 | 40.577778 | 106 | py |
ERD | ERD-main/projects/DiffusionDet/diffusiondet/diffusiondet.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models import SingleStageDetector
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
@MODELS.register_module()
class DiffusionDet(SingleStageDetector):
"""Implementation of `DiffusionDet <>`_"""
def __... | 920 | 33.111111 | 65 | py |
ERD | ERD-main/projects/DiffusionDet/diffusiondet/__init__.py | from .diffusiondet import DiffusionDet
from .head import (DynamicConv, DynamicDiffusionDetHead,
SingleDiffusionDetHead, SinusoidalPositionEmbeddings)
from .loss import DiffusionDetCriterion, DiffusionDetMatcher
__all__ = [
'DiffusionDet', 'DynamicDiffusionDetHead', 'SingleDiffusionDetHead',
... | 420 | 37.272727 | 75 | py |
ERD | ERD-main/projects/DiffusionDet/configs/diffusiondet_r50_fpn_500-proposals_1-step_crop-ms-480-800-450k_coco.py | _base_ = [
'mmdet::_base_/datasets/coco_detection.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.DiffusionDet.diffusiondet'], allow_failed_imports=False)
# model settings
model = dict(
type='DiffusionDet',
data_prep... | 6,186 | 32.263441 | 79 | py |
ERD | ERD-main/projects/DiffusionDet/model_converters/diffusiondet_resnet_to_mmdet.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from collections import OrderedDict
import numpy as np
import torch
from mmengine.fileio import load
def convert(src, dst):
if src.endswith('pth'):
src_model = torch.load(src)
else:
src_model = load(src)
dst_state_dict = Ord... | 3,395 | 37.157303 | 77 | py |
ERD | ERD-main/projects/SparseInst/sparseinst/sparseinst.py | # Copyright (c) Tianheng Cheng and its affiliates. All Rights Reserved
from typing import List, Tuple, Union
import torch
import torch.nn.functional as F
from mmengine.structures import InstanceData
from torch import Tensor
from mmdet.models import BaseDetector
from mmdet.models.utils import unpack_gt_instances
from ... | 7,972 | 37.516908 | 78 | py |
ERD | ERD-main/projects/SparseInst/sparseinst/loss.py | # Copyright (c) Tianheng Cheng and its affiliates. All Rights Reserved
import torch
import torch.nn as nn
import torch.nn.functional as F
from scipy.optimize import linear_sum_assignment
from torch.cuda.amp import autocast
from mmdet.registry import MODELS, TASK_UTILS
from mmdet.utils import reduce_mean
def compute... | 9,212 | 35.852 | 79 | py |
ERD | ERD-main/projects/SparseInst/sparseinst/encoder.py | # Copyright (c) Tianheng Cheng and its affiliates. All Rights Reserved
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmengine.model.weight_init import caffe2_xavier_init, kaiming_init
from mmdet.registry import MODELS
class PyramidPoolingModule(nn.Module):
def __init__(self,
... | 3,806 | 35.961165 | 78 | py |
ERD | ERD-main/projects/SparseInst/sparseinst/decoder.py | # Copyright (c) Tianheng Cheng and its affiliates. All Rights Reserved
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmengine.model.weight_init import caffe2_xavier_init, kaiming_init
from torch.nn import init
from mmdet.registry import MODELS
def _make_stack_3x3_convs(num_con... | 13,792 | 33.396509 | 79 | py |
ERD | ERD-main/projects/SparseInst/sparseinst/__init__.py | from .decoder import BaseIAMDecoder, GroupIAMDecoder, GroupIAMSoftDecoder
from .encoder import PyramidPoolingModule
from .loss import SparseInstCriterion, SparseInstMatcher
from .sparseinst import SparseInst
__all__ = [
'BaseIAMDecoder', 'GroupIAMDecoder', 'GroupIAMSoftDecoder',
'PyramidPoolingModule', 'Sparse... | 376 | 33.272727 | 73 | py |
ERD | ERD-main/projects/SparseInst/configs/sparseinst_r50_iam_8xb8-ms-270k_coco.py | _base_ = [
'mmdet::_base_/datasets/coco_instance.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.SparseInst.sparseinst'], allow_failed_imports=False)
model = dict(
type='SparseInst',
data_preprocessor=dict(
t... | 4,133 | 27.122449 | 79 | py |
ERD | ERD-main/projects/EfficientDet/convert_tf_to_pt.py | import argparse
import numpy as np
import torch
from tensorflow.python.training import py_checkpoint_reader
torch.set_printoptions(precision=20)
def tf2pth(v):
if v.ndim == 4:
return np.ascontiguousarray(v.transpose(3, 2, 0, 1))
elif v.ndim == 2:
return np.ascontiguousarray(v.transpose())
... | 26,971 | 42.017544 | 79 | py |
ERD | ERD-main/projects/EfficientDet/configs/efficientdet_effb3_bifpn_8xb16-crop896-300e_coco-90cls.py | _base_ = [
'mmdet::_base_/datasets/coco_detection.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.EfficientDet.efficientdet'], allow_failed_imports=False)
image_size = 896
batch_augments = [
dict(type='BatchFixedSizePad',... | 5,356 | 30.145349 | 155 | py |
ERD | ERD-main/projects/EfficientDet/configs/efficientdet_effb3_bifpn_8xb16-crop896-300e_coco.py | _base_ = [
'mmdet::_base_/datasets/coco_detection.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.EfficientDet.efficientdet'], allow_failed_imports=False)
image_size = 896
batch_augments = [
dict(type='BatchFixedSizePad',... | 5,352 | 30.122093 | 155 | py |
ERD | ERD-main/projects/EfficientDet/configs/efficientdet_effb0_bifpn_8xb16-crop512-300e_coco.py | _base_ = [
'mmdet::_base_/datasets/coco_detection.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.EfficientDet.efficientdet'], allow_failed_imports=False)
image_size = 512
batch_augments = [
dict(type='BatchFixedSizePad',... | 5,349 | 30.104651 | 155 | py |
ERD | ERD-main/projects/EfficientDet/configs/tensorflow/efficientdet_effb0_bifpn_8xb16-crop512-300e_coco_tf.py | _base_ = [
'mmdet::_base_/datasets/coco_detection.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
custom_imports = dict(
imports=['projects.EfficientDet.efficientdet'], allow_failed_imports=False)
image_size = 512
batch_augments = [
dict(type='BatchFixedSizePad',... | 5,366 | 30.203488 | 155 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/efficientdet.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models.detectors.single_stage import SingleStageDetector
from mmdet.registry import MODELS
from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
@MODELS.register_module()
class EfficientDet(SingleStageDetector):
def __init__(self,
... | 896 | 33.5 | 67 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/bifpn.py | from typing import List
import torch
import torch.nn as nn
from mmcv.cnn.bricks import Swish
from mmengine.model import BaseModule
from mmdet.registry import MODELS
from mmdet.utils import MultiConfig, OptConfigType
from .utils import DepthWiseConvBlock, DownChannelBlock, MaxPool2dSamePadding
class BiFPNStage(nn.Mo... | 12,443 | 39.534202 | 77 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/utils.py | import math
from typing import Tuple, Union
import torch
import torch.nn as nn
from mmcv.cnn.bricks import Swish, build_norm_layer
from torch.nn import functional as F
from torch.nn.init import _calculate_fan_in_and_fan_out, trunc_normal_
from mmdet.registry import MODELS
from mmdet.utils import OptConfigType
def v... | 4,897 | 30.6 | 78 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/huber_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
import torch.nn as nn
from torch import Tensor
from mmdet.models.losses.utils import weighted_loss
from mmdet.registry import MODELS
@weighted_loss
def huber_loss(pred: Tensor, target: Tensor, beta: float = 1.0) -> Tensor:
... | 2,888 | 30.402174 | 78 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/__init__.py | from .bifpn import BiFPN
from .efficientdet import EfficientDet
from .efficientdet_head import EfficientDetSepBNHead
from .huber_loss import HuberLoss
from .tensorflow.anchor_generator import YXYXAnchorGenerator
from .tensorflow.coco_90class import Coco90Dataset
from .tensorflow.coco_90metric import Coco90Metric
from .... | 696 | 40 | 74 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/efficientdet_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Tuple
import torch
import torch.nn as nn
from mmcv.cnn.bricks import Swish, build_norm_layer
from mmengine.model import bias_init_with_prob
from torch import Tensor
from mmdet.models.dense_heads.anchor_head import AnchorHead
from mmdet.models.ut... | 10,986 | 40.935115 | 79 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/tensorflow/anchor_generator.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple, Union
import torch
from torch import Tensor
from mmdet.models.task_modules.prior_generators.anchor_generator import \
AnchorGenerator
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import HorizontalBoxes
DeviceT... | 4,261 | 37.745455 | 78 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/tensorflow/coco_90metric.py | # Copyright (c) OpenMMLab. All rights reserved.
import datetime
import itertools
import os.path as osp
import tempfile
from collections import OrderedDict
from typing import Dict, List, Optional, Sequence, Union
import numpy as np
from mmengine.evaluator import BaseMetric
from mmengine.fileio import dump, get_local_pa... | 22,717 | 40.992606 | 124 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/tensorflow/coco_90class.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
from typing import List, Union
from mmengine.fileio import get_local_path
from mmdet.datasets.base_det_dataset import BaseDetDataset
from mmdet.registry import DATASETS
from .api_wrappers import COCO
@DATASETS.register_module()
class ... | 8,204 | 40.231156 | 79 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/tensorflow/yxyx_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import numpy as np
import torch
from mmdet.models.task_modules.coders.delta_xywh_bbox_coder import \
DeltaXYWHBBoxCoder
from mmdet.registry import TASK_UTILS
from mmdet.structures.bbox import HorizontalBoxes, get_box_tensor
@TASK_UTILS.register_mod... | 15,367 | 40.535135 | 79 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/tensorflow/trans_max_iou_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional
import torch
from mmengine.structures import InstanceData
from mmdet.models.task_modules.assigners.assign_result import AssignResult
from mmdet.models.task_modules.assigners.max_iou_assigner import MaxIoUAssigner
from mmdet.registry import TA... | 5,094 | 44.900901 | 79 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/tensorflow/api_wrappers/coco_api.py | # Copyright (c) OpenMMLab. All rights reserved.
# This file add snake case alias for coco api
import warnings
from collections import defaultdict
from typing import List, Optional, Union
import pycocotools
from pycocotools.coco import COCO as _COCO
from pycocotools.cocoeval import COCOeval as _COCOeval
class COCO(_... | 5,118 | 34.061644 | 126 | py |
ERD | ERD-main/projects/EfficientDet/efficientdet/tensorflow/api_wrappers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .coco_api import COCO, COCOeval, COCOPanoptic
__all__ = ['COCO', 'COCOeval', 'COCOPanoptic']
| 147 | 28.6 | 50 | py |
ERD | ERD-main/projects/example_project/dummy/dummy_resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models.backbones import ResNet
from mmdet.registry import MODELS
@MODELS.register_module()
class DummyResNet(ResNet):
"""Implements a dummy ResNet wrapper for demonstration purpose.
Args:
**kwargs: All the arguments are passed to the parent cl... | 441 | 26.625 | 67 | py |
ERD | ERD-main/projects/example_project/dummy/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .dummy_resnet import DummyResNet
__all__ = ['DummyResNet']
| 113 | 21.8 | 47 | py |
ERD | ERD-main/projects/example_project/configs/faster-rcnn_dummy-resnet_fpn_1x_coco.py | _base_ = ['../../../configs/faster_rcnn/faster-rcnn_r50_fpn_1x_coco.py']
custom_imports = dict(imports=['projects.example_project.dummy'])
_base_.model.backbone.type = 'DummyResNet'
| 184 | 29.833333 | 72 | py |
ERD | ERD-main/projects/LabelStudio/backend_template/mmdetection.py | # Copyright (c) OpenMMLab. All rights reserved.
import io
import json
import logging
import os
from urllib.parse import urlparse
import boto3
from botocore.exceptions import ClientError
from label_studio_ml.model import LabelStudioMLBase
from label_studio_ml.utils import (DATA_UNDEFINED_NAME, get_image_size,
... | 6,028 | 39.463087 | 107 | py |
ERD | ERD-main/projects/LabelStudio/backend_template/_wsgi.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import logging
import logging.config
import os
logging.config.dictConfig({
'version': 1,
'formatters': {
'standard': {
'format':
'[%(asctime)s] [%(levelname)s] [%(name)s::%(funcName)s::%(lineno)d] %(mess... | 4,005 | 26.438356 | 105 | py |
ERD | ERD-main/projects/ConvNeXt-V2/configs/mask-rcnn_convnext-v2-b_fpn_lsj-3x-fcmae_coco.py | _base_ = [
'mmdet::_base_/models/mask-rcnn_r50_fpn.py',
'mmdet::_base_/datasets/coco_instance.py',
'mmdet::_base_/schedules/schedule_1x.py',
'mmdet::_base_/default_runtime.py'
]
# please install the mmclassification dev-1.x branch
# import mmcls.models to trigger register_module in mmcls
custom_imports... | 2,852 | 30.01087 | 149 | py |
ERD | ERD-main/scripts/select_categories.py | # coding=utf-8
import os
import time
import json
def sel_cat(anno_file, sel_num):
print('loading annotations into memory...')
tic = time.time()
dataset = json.load(open(anno_file, 'r'))
assert type(dataset)==dict, 'annotation file format {} not supported'.format(type(dataset))
print('Done (t={:0.2... | 2,262 | 30.873239 | 95 | py |
ERD | ERD-main/.dev_scripts/download_checkpoints.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os
import os.path as osp
from multiprocessing import Pool
import torch
from mmengine.config import Config
from mmengine.utils import mkdir_or_exist
def download(url, out_file, min_bytes=math.pow(1024, 2), progress=True):
# math.p... | 2,822 | 32.607143 | 77 | py |
ERD | ERD-main/.dev_scripts/convert_train_benchmark_script.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
def parse_args():
parser = argparse.ArgumentParser(
description='Convert benchmark model json to script')
parser.add_argument(
'txt_path', type=str, help='txt path output by benchmark_filter')
p... | 2,993 | 27.514286 | 79 | py |
ERD | ERD-main/.dev_scripts/gather_test_benchmark_metric.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import glob
import os.path as osp
from mmengine.config import Config
from mmengine.fileio import dump, load
from mmengine.utils import mkdir_or_exist
def parse_args():
parser = argparse.ArgumentParser(
description='Gather benchmarked models ... | 3,963 | 39.865979 | 79 | py |
ERD | ERD-main/.dev_scripts/benchmark_filter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
def parse_args():
parser = argparse.ArgumentParser(description='Filter configs to train')
parser.add_argument(
'--basic-arch',
action='store_true',
help='to train models in basic arch')
... | 7,106 | 41.303571 | 92 | py |
ERD | ERD-main/.dev_scripts/benchmark_options.py | # Copyright (c) OpenMMLab. All rights reserved.
third_part_libs = [
'pip install -r ../requirements/albu.txt',
'pip install instaboostfast',
'pip install git+https://github.com/cocodataset/panopticapi.git',
'pip install timm',
'pip install mmcls>=1.0.0rc0',
'pip install git+https://github.com/l... | 441 | 30.571429 | 69 | py |
ERD | ERD-main/.dev_scripts/gather_models.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import glob
import json
import os.path as osp
import shutil
import subprocess
from collections import OrderedDict
import torch
import yaml
from mmengine.config import Config
from mmengine.fileio import dump
from mmengine.utils import mkdir_or_exist, scand... | 12,549 | 35.376812 | 79 | py |
ERD | ERD-main/.dev_scripts/test_init_backbone.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Check out backbone whether successfully load pretrained checkpoint."""
import copy
import os
from os.path import dirname, exists, join
import pytest
from mmengine.config import Config
from mmengine.runner import CheckpointLoader
from mmengine.utils import ProgressBar
... | 6,556 | 35.631285 | 78 | py |
ERD | ERD-main/.dev_scripts/benchmark_inference_fps.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
from mmengine.config import Config, DictAction
from mmengine.dist import init_dist
from mmengine.fileio import dump
from mmengine.utils import mkdir_or_exist
from terminaltables import GithubFlavoredMarkdownTable
from tool... | 6,830 | 38.715116 | 79 | py |
ERD | ERD-main/.dev_scripts/gather_train_benchmark_metric.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import glob
import os.path as osp
from gather_models import get_final_results
from mmengine.config import Config
from mmengine.fileio import dump
from mmengine.utils import mkdir_or_exist
try:
import xlrd
except ImportError:
xlrd = None
try:
... | 5,904 | 37.848684 | 79 | py |
ERD | ERD-main/.dev_scripts/check_links.py | # Modified from:
# https://github.com/allenai/allennlp/blob/main/scripts/check_links.py
import argparse
import logging
import os
import pathlib
import re
import sys
from multiprocessing.dummy import Pool
from typing import NamedTuple, Optional, Tuple
import requests
from mmengine.logging import MMLogger
def parse_a... | 5,064 | 31.056962 | 76 | py |
ERD | ERD-main/.dev_scripts/batch_test_list.py | # Copyright (c) OpenMMLab. All rights reserved.
# missing wider_face/timm_example/strong_baselines/simple_copy_paste/
# selfsup_pretrain/seesaw_loss/pascal_voc/openimages/lvis/ld/lad/cityscapes/deepfashion
# yapf: disable
atss = dict(
config='configs/atss/atss_r50_fpn_1x_coco.py',
checkpoint='atss_r50_fpn_1x_... | 29,576 | 53.17033 | 249 | py |
ERD | ERD-main/.dev_scripts/benchmark_train.py | # Copyright (c) OpenMMLab. All rights reserved.
import logging
import os
import os.path as osp
from argparse import ArgumentParser
from mmengine.config import Config, DictAction
from mmengine.logging import MMLogger, print_log
from mmengine.registry import RUNNERS
from mmengine.runner import Runner
from mmdet.testing... | 6,412 | 34.826816 | 79 | py |
ERD | ERD-main/.dev_scripts/benchmark_valid_flops.py | import logging
import re
import tempfile
from argparse import ArgumentParser
from collections import OrderedDict
from functools import partial
from pathlib import Path
import numpy as np
import pandas as pd
import torch
from mmengine import Config, DictAction
from mmengine.analysis import get_model_complexity_info
fro... | 10,539 | 34.608108 | 79 | py |
ERD | ERD-main/.dev_scripts/benchmark_test_image.py | # Copyright (c) OpenMMLab. All rights reserved.
import logging
import os.path as osp
from argparse import ArgumentParser
import mmcv
from mmengine.config import Config
from mmengine.logging import MMLogger
from mmengine.utils import mkdir_or_exist
from mmdet.apis import inference_detector, init_detector
from mmdet.re... | 4,670 | 33.6 | 77 | py |
ERD | ERD-main/.dev_scripts/convert_test_benchmark_script.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
from mmengine import Config
def parse_args():
parser = argparse.ArgumentParser(
description='Convert benchmark model list to script')
parser.add_argument('config', help='test config file path')
parser.... | 3,414 | 28.695652 | 79 | py |
ERD | ERD-main/.dev_scripts/benchmark_test.py | # Copyright (c) OpenMMLab. All rights reserved.
import logging
import os
import os.path as osp
from argparse import ArgumentParser
from mmengine.config import Config, DictAction
from mmengine.logging import MMLogger
from mmengine.registry import RUNNERS
from mmengine.runner import Runner
from mmdet.testing import rep... | 4,055 | 33.965517 | 79 | py |
ERD | ERD-main/tests/test_engine/__init__.py | 0 | 0 | 0 | py | |
ERD | ERD-main/tests/test_engine/test_schedulers/test_quadratic_warmup.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
import torch.nn.functional as F
import torch.optim as optim
from mmengine.optim.scheduler import _ParamScheduler
from mmengine.testing import assert_allclose
from mmdet.engine.schedulers import (QuadraticWarmupLR,
... | 4,323 | 38.669725 | 79 | py |
ERD | ERD-main/tests/test_engine/test_hooks/test_num_class_check_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from copy import deepcopy
from unittest import TestCase
from unittest.mock import Mock
from mmcv.cnn import VGG
from mmengine.dataset import BaseDataset
from torch import nn
from mmdet.engine.hooks import NumClassCheckHook
from mmdet.models.roi_heads.mask_heads import F... | 3,988 | 36.280374 | 71 | py |
ERD | ERD-main/tests/test_engine/test_hooks/test_memory_profiler_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
from unittest.mock import Mock
from mmdet.engine.hooks import MemoryProfilerHook
class TestMemoryProfilerHook(TestCase):
def test_after_train_iter(self):
hook = MemoryProfilerHook(2)
runner = Mock()
runner.logg... | 1,222 | 30.358974 | 49 | py |
ERD | ERD-main/tests/test_engine/test_hooks/test_sync_norm_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
from unittest.mock import Mock, patch
import torch.nn as nn
from mmdet.engine.hooks import SyncNormHook
class TestSyncNormHook(TestCase):
@patch(
'mmdet.engine.hooks.sync_norm_hook.get_dist_info', return_value=(0, 1))
def... | 1,374 | 31.738095 | 79 | py |
ERD | ERD-main/tests/test_engine/test_hooks/test_mean_teacher_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
from unittest import TestCase
import torch
import torch.nn as nn
from mmengine.evaluator import BaseMetric
from mmengine.model import BaseModel
from mmengine.optim import OptimWrapper
from mmengine.registry import MODEL_WRAPPERS
from... | 5,299 | 29.113636 | 78 | py |
ERD | ERD-main/tests/test_engine/test_hooks/test_yolox_mode_switch_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
from unittest.mock import Mock, patch
from mmdet.engine.hooks import YOLOXModeSwitchHook
class TestYOLOXModeSwitchHook(TestCase):
@patch('mmdet.engine.hooks.yolox_mode_switch_hook.is_model_wrapper')
def test_is_model_wrapper_and_p... | 2,083 | 37.592593 | 74 | py |
ERD | ERD-main/tests/test_engine/test_hooks/test_visualization_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import shutil
import time
from unittest import TestCase
from unittest.mock import Mock
import torch
from mmengine.structures import InstanceData
from mmdet.engine.hooks import DetVisualizationHook
from mmdet.structures import DetDataSample
from mmd... | 2,420 | 33.098592 | 74 | py |
ERD | ERD-main/tests/test_engine/test_hooks/test_checkloss_hook.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
from unittest.mock import Mock
import torch
from mmdet.engine.hooks import CheckInvalidLossHook
class TestCheckInvalidLossHook(TestCase):
def test_after_train_iter(self):
n = 50
hook = CheckInvalidLossHook(n)
... | 1,372 | 35.131579 | 66 | py |
ERD | ERD-main/tests/test_engine/test_runner/test_loops.py | # Copyright (c) OpenMMLab. All rights reserved.
import tempfile
from unittest import TestCase
from unittest.mock import Mock
import torch
import torch.nn as nn
from mmengine.evaluator import Evaluator
from mmengine.model import BaseModel
from mmengine.optim import OptimWrapper
from mmengine.runner import Runner
from t... | 3,296 | 27.921053 | 76 | py |
ERD | ERD-main/tests/test_engine/test_optimizers/__init__.py | 0 | 0 | 0 | py | |
ERD | ERD-main/tests/test_engine/test_optimizers/test_layer_decay_optimizer_constructor.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmdet.engine import LearningRateDecayOptimizerConstructor
base_lr = 1
decay_rate = 2
base_wd = 0.05
weight_decay = 0.05
expected_stage_wise_lr_wd_convnext = [{
'weight_decay': 0.0,
'lr_scal... | 4,532 | 25.822485 | 77 | py |
ERD | ERD-main/tests/test_structures/test_det_data_sample.py | from unittest import TestCase
import numpy as np
import pytest
import torch
from mmengine.structures import InstanceData, PixelData
from mmdet.structures import DetDataSample
def _equal(a, b):
if isinstance(a, (torch.Tensor, np.ndarray)):
return (a == b).all()
else:
return a == b
class Tes... | 6,181 | 39.671053 | 76 | py |
ERD | ERD-main/tests/test_structures/__init__.py | 0 | 0 | 0 | py | |
ERD | ERD-main/tests/test_structures/test_bbox/test_horizontal_boxes.py | import random
from math import sqrt
from unittest import TestCase
import cv2
import numpy as np
import torch
from mmengine.testing import assert_allclose
from mmdet.structures.bbox import HorizontalBoxes
from mmdet.structures.mask import BitmapMasks, PolygonMasks
class TestHorizontalBoxes(TestCase):
def test_i... | 7,719 | 40.06383 | 78 | py |
ERD | ERD-main/tests/test_structures/test_bbox/utils.py | from mmdet.structures.bbox import BaseBoxes
class ToyBaseBoxes(BaseBoxes):
box_dim = 4
@property
def centers(self):
pass
@property
def areas(self):
pass
@property
def widths(self):
pass
@property
def heights(self):
pass
def flip_(self, img_... | 938 | 15.767857 | 75 | py |
ERD | ERD-main/tests/test_structures/test_bbox/test_base_boxes.py | from unittest import TestCase
import numpy as np
import torch
from mmengine.testing import assert_allclose
from .utils import ToyBaseBoxes
class TestBaseBoxes(TestCase):
def test_init(self):
box_tensor = torch.rand((3, 4, 4))
boxes = ToyBaseBoxes(box_tensor)
boxes = ToyBaseBoxes(box_te... | 10,821 | 38.068592 | 72 | py |
ERD | ERD-main/tests/test_structures/test_bbox/__init__.py | 0 | 0 | 0 | py | |
ERD | ERD-main/tests/test_structures/test_bbox/test_box_type.py | from unittest import TestCase
from unittest.mock import MagicMock
import torch
from mmdet.structures.bbox.box_type import (_box_type_to_name, box_converters,
box_types, convert_box_type,
get_box_type, register_box,
... | 5,813 | 29.28125 | 78 | py |
ERD | ERD-main/tests/test_structures/test_mask/test_mask_structures.py | from unittest import TestCase
import numpy as np
from mmengine.testing import assert_allclose
from mmdet.structures.mask import BitmapMasks, PolygonMasks
class TestMaskStructures(TestCase):
def test_bitmap_translate_same_size(self):
mask_array = np.zeros((5, 10, 10), dtype=np.uint8)
mask_array[... | 2,740 | 36.040541 | 77 | py |
ERD | ERD-main/tests/test_evaluation/test_metrics/test_coco_panoptic_metric.py | import os
import os.path as osp
import tempfile
import unittest
from copy import deepcopy
import mmcv
import numpy as np
import torch
from mmengine.fileio import dump
from mmdet.evaluation import INSTANCE_OFFSET, CocoPanopticMetric
try:
import panopticapi
except ImportError:
panopticapi = None
class TestCo... | 9,287 | 31.475524 | 79 | py |
ERD | ERD-main/tests/test_evaluation/test_metrics/test_crowdhuman_metric.py | import os.path as osp
import tempfile
from unittest import TestCase
import numpy as np
import torch
from mmdet.evaluation import CrowdHumanMetric
class TestCrowdHumanMetric(TestCase):
def _create_dummy_results(self):
bboxes = np.array([[1330, 317, 418, 1338], [792, 24, 723, 2017],
... | 1,834 | 32.363636 | 78 | py |
ERD | ERD-main/tests/test_evaluation/test_metrics/test_coco_metric.py | import os.path as osp
import tempfile
from unittest import TestCase
import numpy as np
import pycocotools.mask as mask_util
import torch
from mmengine.fileio import dump
from mmdet.evaluation import CocoMetric
class TestCocoMetric(TestCase):
def _create_dummy_coco_json(self, json_name):
dummy_mask = np... | 14,349 | 34.696517 | 78 | py |
ERD | ERD-main/tests/test_evaluation/test_metrics/test_cityscapes_metric.py | import os
import os.path as osp
import tempfile
import unittest
import numpy as np
import torch
from PIL import Image
from mmdet.evaluation import CityScapesMetric
try:
import cityscapesscripts
except ImportError:
cityscapesscripts = None
class TestCityScapesMetric(unittest.TestCase):
def setUp(self):... | 3,528 | 33.262136 | 78 | py |
ERD | ERD-main/tests/test_evaluation/test_metrics/test_dump_det_results.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
from unittest import TestCase
import torch
from mmengine.fileio import load
from torch import Tensor
from mmdet.evaluation import DumpDetResults
from mmdet.structures.mask import encode_mask_results
class TestDumpResults(TestCase)... | 1,963 | 35.37037 | 75 | py |
ERD | ERD-main/tests/test_evaluation/test_metrics/test_openimages_metric.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
import numpy as np
import torch
from mmdet.datasets import OpenImagesDataset
from mmdet.evaluation import OpenImagesMetric
from mmdet.utils import register_all_modules
class TestOpenImagesMetric(unittest.TestCase):
def _create_dummy_results(self):... | 2,768 | 36.931507 | 75 | py |
ERD | ERD-main/tests/test_evaluation/test_metrics/__init__.py | 0 | 0 | 0 | py | |
ERD | ERD-main/tests/test_evaluation/test_metrics/test_lvis_metric.py | import os.path as osp
import tempfile
import unittest
import numpy as np
import pycocotools.mask as mask_util
import torch
from mmdet.evaluation.metrics import LVISMetric
try:
import lvis
except ImportError:
lvis = None
from mmengine.fileio import dump
class TestLVISMetric(unittest.TestCase):
def _cr... | 13,025 | 34.785714 | 79 | py |
ERD | ERD-main/tests/test_evaluation/test_metrics/test_coco_occluded_metric.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from tempfile import TemporaryDirectory
import mmengine
import numpy as np
from mmdet.datasets import CocoDataset
from mmdet.evaluation import CocoOccludedSeparatedMetric
def test_coco_occluded_separated_metric():
ann = [[
'fake1.jpg'... | 1,470 | 30.297872 | 71 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_pvt.py | import pytest
import torch
from mmdet.models.backbones.pvt import (PVTEncoderLayer,
PyramidVisionTransformer,
PyramidVisionTransformerV2)
def test_pvt_block():
# test PVT structure and forward
block = PVTEncoderLayer(
emb... | 3,332 | 31.048077 | 69 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_hourglass.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmdet.models.backbones.hourglass import HourglassNet
def test_hourglass_backbone():
with pytest.raises(AssertionError):
# HourglassNet's num_stacks should larger than 0
HourglassNet(num_stacks=0)
with pytest.rais... | 1,464 | 28.3 | 65 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_res2net.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmdet.models.backbones import Res2Net
from mmdet.models.backbones.res2net import Bottle2neck
from .utils import is_block
def test_res2net_bottle2neck():
with pytest.raises(AssertionError):
# Style must be in ['pytorch', 'caff... | 1,976 | 30.380952 | 72 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_swin.py | import pytest
import torch
from mmdet.models.backbones.swin import SwinBlock, SwinTransformer
def test_swin_block():
# test SwinBlock structure and forward
block = SwinBlock(embed_dims=64, num_heads=4, feedforward_channels=256)
assert block.ffn.embed_dims == 64
assert block.attn.w_msa.num_heads == 4
... | 2,648 | 30.915663 | 79 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_efficientnet.py | import pytest
import torch
from mmdet.models.backbones import EfficientNet
def test_efficientnet_backbone():
"""Test EfficientNet backbone."""
with pytest.raises(AssertionError):
# EfficientNet arch should be a key in EfficientNet.arch_settings
EfficientNet(arch='c3')
model = EfficientNe... | 859 | 32.076923 | 73 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmcv.ops import DeformConv2dPack
from torch.nn.modules import AvgPool2d, GroupNorm
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.models.backbones import ResNet, ResNetV1d
from mmdet.models.backbones.resnet import BasicBlock,... | 23,003 | 34.120611 | 78 | py |
ERD | ERD-main/tests/test_models/test_backbones/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
from torch.nn.modules import GroupNorm
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.models.backbones.res2net import Bottle2neck
from mmdet.models.backbones.resnet import BasicBlock, Bottleneck
from mmdet.models.backbones.resnext import Bottleneck as Bottl... | 1,027 | 30.151515 | 77 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_mobilenet_v2.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from torch.nn.modules import GroupNorm
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.models.backbones.mobilenet_v2 import MobileNetV2
from .utils import check_norm_state, is_block, is_norm
def test_mobilenetv2_backbone():
w... | 6,546 | 36.626437 | 77 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_hrnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmdet.models.backbones.hrnet import HRModule, HRNet
from mmdet.models.backbones.resnet import BasicBlock, Bottleneck
@pytest.mark.parametrize('block', [BasicBlock, Bottleneck])
def test_hrmodule(block):
# Test multiscale forward
... | 3,089 | 26.589286 | 68 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_csp_darknet.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.models.backbones.csp_darknet import CSPDarknet
from .utils import check_norm_state, is_norm
def test_csp_darknet_backbone():
with pytest.raises(ValueError):
# frozen_sta... | 4,117 | 34.196581 | 79 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_renext.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmdet.models.backbones import ResNeXt
from mmdet.models.backbones.resnext import Bottleneck as BottleneckX
from .utils import is_block
def test_renext_bottleneck():
with pytest.raises(AssertionError):
# Style must be in ['pyt... | 3,528 | 32.292453 | 73 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_trident_resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmdet.models.backbones import TridentResNet
from mmdet.models.backbones.trident_resnet import TridentBottleneck
def test_trident_resnet_bottleneck():
trident_dilations = (1, 2, 3)
test_branch_idx = 1
concat_output = True
... | 6,372 | 34.209945 | 79 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_resnest.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmdet.models.backbones import ResNeSt
from mmdet.models.backbones.resnest import Bottleneck as BottleneckS
def test_resnest_bottleneck():
with pytest.raises(AssertionError):
# Style must be in ['pytorch', 'caffe']
Bot... | 1,473 | 29.708333 | 76 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_regnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmdet.models.backbones import RegNet
regnet_test_data = [
('regnetx_400mf',
dict(w0=24, wa=24.48, wm=2.54, group_w=16, depth=22,
bot_mul=1.0), [32, 64, 160, 384]),
('regnetx_800mf',
dict(w0=56, wa=35.73, wm=2.2... | 2,177 | 35.915254 | 73 | py |
ERD | ERD-main/tests/test_models/test_backbones/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .utils import check_norm_state, is_block, is_norm
__all__ = ['is_block', 'is_norm', 'check_norm_state']
| 158 | 30.8 | 54 | py |
ERD | ERD-main/tests/test_models/test_backbones/test_detectors_resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
from mmdet.models.backbones import DetectoRS_ResNet
def test_detectorrs_resnet_backbone():
detectorrs_cfg = dict(
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requi... | 1,611 | 32.583333 | 77 | py |
ERD | ERD-main/tests/test_models/test_layers/test_position_encoding.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmdet.models.layers import (LearnedPositionalEncoding,
SinePositionalEncoding)
def test_sine_positional_encoding(num_feats=16, batch_size=2):
# test invalid type of scale
with pytest.raises(Assert... | 1,439 | 35 | 79 | py |
ERD | ERD-main/tests/test_models/test_layers/test_ema.py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
import math
from unittest import TestCase
import torch
import torch.nn as nn
from mmengine.testing import assert_allclose
from mmdet.models.layers import ExpMomentumEMA
class TestEMA(TestCase):
def test_exp_momentum_ema(self):
model = nn.... | 3,633 | 37.252632 | 79 | py |
ERD | ERD-main/tests/test_models/test_layers/test_se_layer.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
import torch.nn.functional as F
from mmengine.model import constant_init
from mmdet.models.layers import DyReLU, SELayer
def test_se_layer():
with pytest.raises(AssertionError):
# act_cfg sequence length must equal to 2
SE... | 1,623 | 28.527273 | 76 | py |
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