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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|---|---|---|---|---|---|---|
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/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/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/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.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/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_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_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/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/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/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/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_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/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_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/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 |
ERD | ERD-main/tests/test_models/test_layers/test_plugins.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
import pytest
import torch
from mmengine.config import ConfigDict
from mmdet.models.layers import DropBlock
from mmdet.registry import MODELS
from mmdet.utils import register_all_modules
register_all_modules()
def test_dropblock():
feat = torch.ra... | 6,408 | 36.261628 | 76 | py |
ERD | ERD-main/tests/test_models/test_layers/test_inverted_residual.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmcv.cnn import is_norm
from torch.nn.modules import GroupNorm
from mmdet.models.layers import InvertedResidual, SELayer
def test_inverted_residual():
with pytest.raises(AssertionError):
# stride must be in [1, 2]
In... | 2,636 | 33.246753 | 71 | py |
ERD | ERD-main/tests/test_models/test_layers/test_conv_upsample.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmdet.models.layers import ConvUpsample
@pytest.mark.parametrize('num_layers', [0, 1, 2])
def test_conv_upsample(num_layers):
num_upsample = num_layers if num_layers > 0 else 0
num_layers = num_layers if num_layers > 0 else 1
... | 629 | 24.2 | 54 | py |
ERD | ERD-main/tests/test_models/test_layers/test_transformer.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmengine.config import ConfigDict
from mmdet.models.layers.transformer import (AdaptivePadding,
DetrTransformerDecoder,
DetrTransformerEncoder,
... | 14,590 | 27.893069 | 73 | py |
ERD | ERD-main/tests/test_models/test_layers/test_brick_wrappers.py | from unittest.mock import patch
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmdet.models.layers import AdaptiveAvgPool2d, adaptive_avg_pool2d
if torch.__version__ != 'parrots':
torch_version = '1.7'
else:
torch_version = 'parrots'
@patch('torch.__version__', torch_version)
def t... | 2,932 | 30.202128 | 70 | py |
ERD | ERD-main/tests/test_models/test_seg_heads/test_panoptic_fpn_head.py | import unittest
import torch
from mmengine.structures import PixelData
from mmengine.testing import assert_allclose
from mmdet.models.seg_heads import PanopticFPNHead
from mmdet.structures import DetDataSample
class TestPanopticFPNHead(unittest.TestCase):
def test_init_weights(self):
head = PanopticFPN... | 2,446 | 33.464789 | 71 | py |
ERD | ERD-main/tests/test_models/test_seg_heads/test_heuristic_fusion_head.py | import unittest
import torch
from mmengine.config import Config
from mmengine.structures import InstanceData
from mmengine.testing import assert_allclose
from mmdet.evaluation import INSTANCE_OFFSET
from mmdet.models.seg_heads.panoptic_fusion_heads import HeuristicFusionHead
class TestHeuristicFusionHead(unittest.T... | 2,440 | 39.683333 | 78 | py |
ERD | ERD-main/tests/test_models/test_seg_heads/test_maskformer_fusion_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
import torch
from mmengine.config import Config
from mmdet.models.seg_heads.panoptic_fusion_heads import MaskFormerFusionHead
from mmdet.structures import DetDataSample
class TestMaskFormerFusionHead(unittest.TestCase):
def test_loss(self):
... | 3,827 | 34.119266 | 78 | py |
ERD | ERD-main/tests/test_models/test_losses/test_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
import torch.nn.functional as F
from mmengine.utils import digit_version
from mmdet.models.losses import (BalancedL1Loss, CrossEntropyLoss, DiceLoss,
DistributionFocalLoss, FocalLoss,
... | 10,928 | 36.428082 | 79 | py |
ERD | ERD-main/tests/test_models/test_losses/test_gaussian_focal_loss.py | import unittest
import torch
from mmdet.models.losses import GaussianFocalLoss
class TestGaussianFocalLoss(unittest.TestCase):
def test_forward(self):
pred = torch.rand((10, 4))
target = torch.rand((10, 4))
gaussian_focal_loss = GaussianFocalLoss()
loss1 = gaussian_focal_loss(pr... | 1,303 | 32.435897 | 75 | py |
ERD | ERD-main/tests/test_models/test_data_preprocessors/test_data_preprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.logging import MessageHub
from mmdet.models.data_preprocessors import (BatchFixedSizePad,
BatchSyncRandomResize,
DetDataPre... | 15,083 | 41.134078 | 79 | py |
ERD | ERD-main/tests/test_models/test_data_preprocessors/test_boxinst_preprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmdet.models.data_preprocessors import BoxInstDataPreprocessor
from mmdet.structures import DetDataSample
from mmdet.testing import demo_mm_inputs
class TestBoxInstDataPreprocessor(TestCase):
def test_forward(self):... | 2,360 | 38.35 | 74 | py |
ERD | ERD-main/tests/test_models/test_utils/test_model_misc.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from torch.autograd import gradcheck
from mmdet.models.utils import interpolate_as, sigmoid_geometric_mean
def test_interpolate_as():
source = torch.rand((1, 5, 4, 4))
target = torch.rand((1, 1, 16, 16))
# Test 4D source and... | 1,149 | 30.081081 | 73 | py |
ERD | ERD-main/tests/test_models/test_utils/test_misc.py | import copy
import pytest
import torch
from mmengine.structures import InstanceData
from mmdet.models.utils import (empty_instances, filter_gt_instances,
rename_loss_dict, reweight_loss_dict,
unpack_gt_instances)
from mmdet.testing import demo_mm_inputs
... | 4,139 | 36.297297 | 79 | py |
ERD | ERD-main/tests/test_models/test_tta/test_det_tta.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import ConfigDict
from mmdet.models import DetTTAModel
from mmdet.registry import MODELS
from mmdet.structures import DetDataSample
from mmdet.testing import get_detector_cfg
from mmdet.utils import register_all_m... | 1,572 | 31.102041 | 75 | py |
ERD | ERD-main/tests/test_models/test_necks/test_ct_resnet_neck.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
import torch
from mmdet.models.necks import CTResNetNeck
class TestCTResNetNeck(unittest.TestCase):
def test_init(self):
# num_filters/num_kernels must be same length
with self.assertRaises(AssertionError):
CTResNetNeck... | 1,678 | 30.092593 | 74 | py |
ERD | ERD-main/tests/test_models/test_necks/test_necks.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from torch.nn.modules.batchnorm import _BatchNorm
from mmdet.models.necks import (FPG, FPN, FPN_CARAFE, NASFCOS_FPN, NASFPN, SSH,
YOLOXPAFPN, ChannelMapper, DilatedEncoder,
DyHead,... | 20,260 | 30.075153 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_reppoints_head.py | import unittest
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from parameterized import parameterized
from mmdet.models.dense_heads import RepPointsHead
from mmdet.structures import DetDataSample
class TestRepPointsHead(unittest.TestCase):
@parameterized.expan... | 5,581 | 37.763889 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_rpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import pytest
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import RPNHead
class TestRPNHead(TestCase):
def test_init(self):
""... | 4,805 | 37.448 | 76 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_lad_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import numpy as np
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import LADHead, lad_head
from mmdet.models.dense_heads.lad_head import levels... | 6,520 | 37.585799 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_guided_anchor_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import GuidedAnchorHead
guided_anchor_head_config = ConfigDict(
dict(
num_classes=4,
in_chan... | 5,905 | 36.379747 | 77 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_ssd_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from math import ceil
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import SSDHead
class TestSSDHead(TestCase):
def test_ssd_head_loss(... | 3,494 | 36.98913 | 75 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_boxinst_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import numpy as np
import torch
from mmengine import MessageHub
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import BoxInstBboxHead, BoxInstMaskHead
from mmdet.structures.... | 5,300 | 41.071429 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_anchor_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import AnchorHead
class TestAnchorHead(TestCase):
def test_anchor_head_loss(self):
... | 3,035 | 37.923077 | 77 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_cascade_rpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import CascadeRPNHead
from mmdet.structures import DetDataSample
rpn_weight = 0.7
cascade_rpn_config = ConfigDic... | 6,383 | 34.466667 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_centernet_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import CenterNetHead
class TestCenterNetHead(TestCase):
def test_center_head_loss(self):
"""Tests ... | 7,238 | 44.528302 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_nasfcos_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import NASFCOSHead
class TestNASFCOSHead(TestCase):
def test_nasfcos_head_loss(self):
"""Tests nasfcos head loss when truth is empty and ... | 3,065 | 42.183099 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_centripetal_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import CentripetalHead
class TestCentripetalHead(TestCase):
def test_centripetal_head_loss(self):
"""Tests corner head loss when truth is... | 3,158 | 41.12 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_solov2_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import numpy as np
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import SOLOV2Head
from mmdet.structures.mask import BitmapMasks
... | 4,598 | 34.10687 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_yolof_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import YOLOFHead
class TestYOLOFHead(TestCase):
def test_yolof_head_loss(self):
"... | 3,396 | 37.168539 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_vfnet_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import VFNetHead
class TestVFNetHead(TestCase):
def test_vfnet_head_loss(self):
"... | 5,715 | 41.029412 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_free_anchor_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import FreeAnchorRetinaHead
class TestFreeAnchorRetinaHead(TestCase):
def test_free_anchor_head_loss(self):
"... | 2,605 | 39.71875 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_embedding_rpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import pytest
import torch
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import EmbeddingRPNHead
from mmdet.structures import DetDataSample
class TestEmbeddingRPNHead(TestCase):
def test_init(self):
... | 1,802 | 31.196429 | 69 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_pisa_ssd_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from math import ceil
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import PISASSDHead
class TestPISASSDHead(TestCase):
def test_pisa_s... | 5,288 | 40.320313 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_ga_rpn_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import GARPNHead
ga_rpn_config = ConfigDict(
dict(
num_classes=1,
in_channels=4,
fea... | 5,031 | 33.944444 | 76 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_corner_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.evaluation import bbox_overlaps
from mmdet.models.dense_heads import CornerHead
class TestCornerHead(TestCase):
def test_corner_head_loss(self):
"""Tests co... | 7,299 | 39.782123 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_yolo_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.config import Config
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import YOLOV3Head
class TestYOLOV3Head(TestCase):
def test_yolo_head_loss(self):
"""Tests YOLO head lo... | 3,290 | 39.62963 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_fsaf_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from math import ceil
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import FSAFHead
class TestFSAFHead(TestCase):
def test_fsaf_head_loss(self):
"""Tests f... | 3,536 | 36.62766 | 77 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_tood_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import Config, MessageHub
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import TOODHead
def _tood_head(anchor_type):
"""Set type of tood head."""
... | 7,843 | 39.43299 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_solo_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import numpy as np
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from parameterized import parameterized
from mmdet import * # noqa
from mmdet.models.dense_heads import (DecoupledSOLOHead,... | 5,125 | 34.351724 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_yolox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmcv.cnn import ConvModule, DepthwiseSeparableConvModule
from mmengine.config import Config
from mmengine.model import bias_init_with_prob
from mmengine.structures import InstanceData
from mmengine.testing import assert_all... | 6,502 | 38.412121 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_autoassign_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import AutoAssignHead
class TestAutoAssignHead(TestCase):
def test_autoassign_head_loss(self):
"""Tests autoassign head loss when truth i... | 3,186 | 41.493333 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_fovea_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import FoveaHead
class TestFOVEAHead(TestCase):
def test_fovea_head_loss(self):
"""Tests anchor head loss when truth is empty and non-emp... | 2,443 | 38.419355 | 76 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_pisa_retinanet_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from math import ceil
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import PISARetinaHead
class TestPISARetinaHead(TestCase):
def test_... | 4,122 | 37.896226 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_ld_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import GFLHead, LDHead
class TestLDHead(TestCase):
def test_ld_head_loss(self):
"... | 6,184 | 40.233333 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_paa_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import numpy as np
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import PAAHead, paa_head
from mmdet.models.utils import levels_to_images
cl... | 5,675 | 37.09396 | 79 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_retina_sepBN_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import RetinaSepBNHead
class TestRetinaSepBNHead(TestCase):
def test_init(self):
... | 3,483 | 38.146067 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_ga_retina_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.config import ConfigDict
from mmdet.models.dense_heads import GARetinaHead
ga_retina_head_config = ConfigDict(
dict(
num_classes=4,
in_channels=4,
feat_channels=4,
stacked_conv... | 3,067 | 30.306122 | 74 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_condinst_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import numpy as np
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import CondInstBboxHead, CondInstMaskHead
from mmdet.structures.mask import BitmapMasks
def ... | 8,815 | 42.860697 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_fcos_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import FCOSHead
class TestFCOSHead(TestCase):
def test_fcos_head_loss(self):
"""Tests fcos head loss when truth is empty and non-empty.""... | 4,509 | 45.020408 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_centernet_update_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import CenterNetUpdateHead
class TestCenterNetUpdateHead(TestCase):
def test_centernet_update_head_loss(self):
"""Tests fcos head loss wh... | 2,608 | 39.765625 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_sabl_retina_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from mmdet.models.dense_heads import SABLRetinaHead
class TestSABLRetinaHead(TestCase):
def test_sabl_retina_head(self):
"""Test... | 4,672 | 38.940171 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_ddod_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import DDODHead
class TestDDODHead(TestCase):
def test_ddod_head_loss(self):
"""T... | 3,979 | 39.20202 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_atss_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import ATSSHead
class TestATSSHead(TestCase):
def test_atss_head_loss(self):
"""T... | 3,776 | 38.757895 | 78 | py |
ERD | ERD-main/tests/test_models/test_dense_heads/test_gfl_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import Config
from mmengine.structures import InstanceData
from mmdet import * # noqa
from mmdet.models.dense_heads import GFLHead
class TestGFLHead(TestCase):
def test_gfl_head_loss(self):
"""Test... | 3,503 | 37.933333 | 78 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_single_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
import time
import unittest
from unittest import TestCase
import torch
from mmengine.logging import MessageHub
from parameterized import parameterized
from mmdet.structures import DetDataSample
from mmdet.testing import demo_mm_inputs, get_detector_cfg
from mmdet.utils ... | 5,791 | 41.588235 | 79 | py |
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