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/tests/test_models/test_detectors/test_single_stage_instance_seg.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet.structures import DetDataSample
from mmdet.testing import demo_mm_inputs, get_detector_cfg
from mmdet.utils import register_all_modules
class TestSingleStageI... | 5,403 | 39.328358 | 77 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_semi_base.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
from mmengine.registry import MODELS
from parameterized import parameterized
from mmdet.testing import get_detector_cfg
from mmdet.utils import register_all_modules
register_all_modules()
class TestSemiBase(TestCase):
@parameterized... | 1,116 | 30.914286 | 71 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_panoptic_two_stage_segmentor.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
import torch
from parameterized import parameterized
from mmdet.registry import MODELS
from mmdet.structures import DetDataSample
from mmdet.testing._utils import demo_mm_inputs, get_detector_cfg
from mmdet.utils import register_all_modules
class TestT... | 3,467 | 35.893617 | 68 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_two_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet.structures import DetDataSample
from mmdet.testing import demo_mm_inputs, get_detector_cfg
from mmdet.utils import register_all_modules
class TestTwoStageBBox... | 8,710 | 35.755274 | 75 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_kd_single_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet import * # noqa
from mmdet.structures import DetDataSample
from mmdet.testing import demo_mm_inputs, get_detector_cfg
from mmdet.utils import register_all_modu... | 2,932 | 36.126582 | 78 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_detr.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.registry import MODELS
from mmdet.structures import DetDataSample
from mmdet.testing import get_detector_cfg
from mmdet.utils import register_all_modules
class TestDETR(... | 3,116 | 35.670588 | 79 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_maskformer.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
import torch
from parameterized import parameterized
from mmdet.registry import MODELS
from mmdet.structures import DetDataSample
from mmdet.testing._utils import demo_mm_inputs, get_detector_cfg
from mmdet.utils import register_all_modules
class TestM... | 9,982 | 41.122363 | 78 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_dino.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.registry import MODELS
from mmdet.structures import DetDataSample
from mmdet.testing import get_detector_cfg
from mmdet.utils import register_all_modules
class TestDINO(... | 3,124 | 37.109756 | 78 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_rpn.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet.structures import DetDataSample
from mmdet.testing import demo_mm_inputs, get_detector_cfg
from mmdet.utils import register_all_modules
class TestRPN(TestCase... | 4,309 | 37.141593 | 77 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_dab_detr.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.registry import MODELS
from mmdet.structures import DetDataSample
from mmdet.testing import get_detector_cfg
from mmdet.utils import register_all_modules
class TestDABDE... | 3,130 | 35.835294 | 79 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_cornernet.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from mmengine.config import ConfigDict
from mmdet.structures import DetDataSample
from mmdet.testing import demo_mm_inputs, get_detector_cfg
from mmdet.utils import register_all_modules
class TestCornerNet(Tes... | 3,271 | 34.182796 | 73 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_conditional_detr.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.registry import MODELS
from mmdet.structures import DetDataSample
from mmdet.testing import get_detector_cfg
from mmdet.utils import register_all_modules
class TestCondi... | 3,175 | 35.930233 | 79 | py |
ERD | ERD-main/tests/test_models/test_detectors/test_deformable_detr.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.registry import MODELS
from mmdet.structures import DetDataSample
from mmdet.testing import get_detector_cfg
from mmdet.utils import register_all_modules
class TestDefor... | 3,777 | 36.78 | 95 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_iou2d_calculator.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pytest
import torch
from mmdet.evaluation import bbox_overlaps as recall_overlaps
from mmdet.models.task_modules import BboxOverlaps2D
from mmdet.structures.bbox import bbox_overlaps
def test_bbox_overlaps_2d(eps=1e-7):
def _construct_bbo... | 5,339 | 38.555556 | 79 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_coder/test_delta_xywh_bbox_coder.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmdet.models.task_modules.coders import DeltaXYWHBBoxCoder
def test_delta_bbox_coder():
coder = DeltaXYWHBBoxCoder()
rois = torch.Tensor([[0., 0., 1., 1.], [0., 0., 1., 1.], [0., 0., 1., 1.],
[5., 5., 5.... | 2,494 | 42.77193 | 79 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_point_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
import torch
from mmengine.structures import InstanceData
from mmengine.testing import assert_allclose
from mmdet.models.task_modules.assigners import PointAssigner
class TestPointAssigner(unittest.TestCase):
def test_point_assigner(self):
... | 2,249 | 34.714286 | 76 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_hungarian_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine import ConfigDict
from mmengine.structures import InstanceData
from mmdet.models.task_modules.assigners import HungarianAssigner
class TestHungarianAssigner(TestCase):
def test_init(self):
with self... | 6,481 | 42.503356 | 77 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_simota_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmengine.testing import assert_allclose
from mmdet.models.task_modules.assigners import SimOTAAssigner
class TestSimOTAAssigner(TestCase):
def test_assign(self):
... | 2,586 | 37.61194 | 78 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_atss_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.models.task_modules.assigners import ATSSAssigner
class TestATSSAssigner(TestCase):
def test_atss_assigner(self):
atss_assigner = ATSSAssigner(topk=9)
... | 5,500 | 36.168919 | 78 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_region_assigner.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.task_modules.assigners import RegionAssigner
class TestRegionAssigner(TestCase):
def setUp(self):
self.img_met... | 5,479 | 38.42446 | 77 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_center_region_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.models.task_modules.assigners import CenterRegionAssigner
class TestCenterRegionAssigner(TestCase):
def test_center_region_assigner(self):
center_region_ass... | 6,061 | 39.413333 | 79 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_grid_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmengine.testing import assert_allclose
from mmdet.models.task_modules.assigners import GridAssigner
class TestGridAssigner(TestCase):
def test_assign(self):
assi... | 3,428 | 40.817073 | 73 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_dynamic_soft_label_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmengine.testing import assert_allclose
from mmdet.models.task_modules.assigners import DynamicSoftLabelAssigner
from mmdet.structures.bbox import HorizontalBoxes
class TestDy... | 3,259 | 42.466667 | 78 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_max_iou_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Tests the Assigner objects.
CommandLine:
pytest tests/test_core/test_bbox/test_assigners/test_max_iou_assigner.py
xdoctest tests/test_core/test_bbox/test_assigners/test_max_iou_assigner.py zero
""" # noqa
import pytest
import torch
from mmengine.structures i... | 5,025 | 29.834356 | 84 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_approx_max_iou_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.models.task_modules.assigners import ApproxMaxIoUAssigner
class TestApproxIoUAssigner(TestCase):
def test_approx_iou_assigner(self):
assigner = ApproxMaxIoU... | 3,680 | 32.770642 | 77 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_task_uniform_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmengine.testing import assert_allclose
from mmdet.models.task_modules.assigners import UniformAssigner
class TestUniformAssigner(TestCase):
def test_uniform_assigner(sel... | 3,299 | 34.106383 | 76 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_assigners/test_task_aligned_assigner.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import torch
from mmengine.structures import InstanceData
from mmdet.models.task_modules.assigners import TaskAlignedAssigner
class TestTaskAlignedAssigner(TestCase):
def test_task_aligned_assigner(self):
with self.assertRai... | 1,934 | 32.362069 | 77 | py |
ERD | ERD-main/tests/test_models/test_task_modules/test_prior_generators/test_anchor_generator.py | # Copyright (c) OpenMMLab. All rights reserved.
"""
CommandLine:
pytest tests/test_utils/test_anchor.py
xdoctest tests/test_utils/test_anchor.py zero
"""
import pytest
import torch
def test_standard_points_generator():
from mmdet.models.task_modules import build_prior_generator
# teat init
ancho... | 33,364 | 42.218912 | 79 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_dynamic_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_proposals, get_roi_head_cfg
from mmdet.utils import register_all_modules
class TestDy... | 2,733 | 36.972222 | 77 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_trident_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import unittest
from unittest import TestCase
import torch
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_proposals, get_roi_head_cfg
from mmdet.utils import register_all_modules
class TestTridentRoIHead(TestCase):
... | 2,012 | 33.118644 | 77 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_pisa_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_proposals, get_roi_head_cfg
from mmdet.utils import register_all_modules
class TestPI... | 2,718 | 36.763889 | 77 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_multi_instance_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from mmengine.config import Config
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_proposals
from mmdet.utils import register_all_modules
register_all_modules()
def _fake_r... | 4,627 | 34.6 | 79 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_mask_scoring_roI_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_proposals, get_roi_head_cfg
from mmdet.utils import register_all_modules
class TestMaskScoringRoiHead(TestCase):
def set... | 4,844 | 37.76 | 78 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_htc_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet.models.roi_heads import HybridTaskCascadeRoIHead # noqa
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_proposals, get_roi_... | 4,493 | 38.078261 | 77 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_standard_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from mmengine.config import Config
from parameterized import parameterized
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_proposals
from mmdet.utils import register_all_modul... | 8,093 | 38.101449 | 78 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_grid_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_proposals, get_roi_head_cfg
from mmdet.utils import register_all_modules
class TestGr... | 4,587 | 36.606557 | 78 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_point_rend_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet.models.roi_heads import PointRendRoIHead # noqa
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_proposals, get_roi_head_cfg... | 4,222 | 37.743119 | 77 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_scnet_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet.models.roi_heads import SCNetRoIHead # noqa
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_proposals, get_roi_head_cfg
c... | 4,592 | 38.25641 | 77 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_cascade_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet.models.roi_heads import StandardRoIHead # noqa
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_proposals, get_roi_head_cfg
... | 3,156 | 37.975309 | 77 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_sparse_roi_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
import torch.nn as nn
from parameterized import parameterized
from mmdet.models.roi_heads import StandardRoIHead # noqa
from mmdet.registry import MODELS
from mmdet.testing import demo_mm_inputs, demo_mm_propos... | 3,880 | 40.731183 | 77 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_bbox_heads/test_scnet_bbox_head.py | import unittest
import torch
from mmdet.models.roi_heads.bbox_heads import SCNetBBoxHead
class TestSCNetBBoxHead(unittest.TestCase):
def test_forward(self):
x = torch.rand((2, 1, 16, 16))
bbox_head = SCNetBBoxHead(
num_shared_fcs=2,
in_channels=1,
roi_feat_si... | 600 | 25.130435 | 59 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_bbox_heads/test_double_bbox_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from mmdet.models.roi_heads.bbox_heads import DoubleConvFCBBoxHead
class TestDoubleBboxHead(TestCase):
@parameterized.expand(['cpu', 'cuda'])
def test_forward_l... | 876 | 28.233333 | 72 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_bbox_heads/test_sabl_bbox_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.roi_heads.bbox_heads import SABLHead
from mmdet.models.task_modules.samplers import SamplingResult
class TestSABLBboxHead(T... | 5,052 | 35.615942 | 78 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_bbox_heads/test_bbox_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.roi_heads.bbox_heads import (BBoxHead, Shared2FCBBoxHead,
Shared4Conv1FCBBoxHe... | 5,287 | 36.503546 | 78 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_bbox_heads/test_multi_instance_bbox_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.roi_heads.bbox_heads import MultiInstanceBBoxHead
class TestMultiInstanceBBoxHead(TestCase):
def test_init(self):
... | 4,203 | 34.327731 | 74 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_mask_heads/test_fused_semantic_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from torch import Tensor
from mmdet.models.roi_heads.mask_heads import FusedSemanticHead
class TestFusedSemanticHead(TestCase):
@parameterized.expand(['cpu', 'cuda'... | 1,013 | 28.823529 | 72 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_mask_heads/test_maskiou_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from parameterized import parameterized
from mmdet.models.roi_heads.mask_heads import MaskIoUHead
from mmdet.models.utils impor... | 4,094 | 39.544554 | 79 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_mask_heads/test_scnet_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from torch import Tensor
from mmdet.models.roi_heads.mask_heads import SCNetMaskHead
class TestSCNetMaskHead(TestCase):
@parameterized.expand(['cpu', 'cuda'])
d... | 828 | 26.633333 | 72 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_mask_heads/test_global_context_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from torch import Tensor
from mmdet.models.roi_heads.mask_heads import GlobalContextHead
class TestGlobalContextHead(TestCase):
@parameterized.expand(['cpu', 'cuda'... | 917 | 28.612903 | 76 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_mask_heads/test_scnet_semantic_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from torch import Tensor
from mmdet.models.roi_heads.mask_heads import SCNetSemanticHead
class TestSCNetSemanticHead(TestCase):
@parameterized.expand(['cpu', 'cuda'... | 1,013 | 28.823529 | 72 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_mask_heads/test_htc_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from torch import Tensor
from mmdet.models.roi_heads.mask_heads import HTCMaskHead
class TestHTCMaskHead(TestCase):
@parameterized.expand(['cpu', 'cuda'])
def t... | 1,504 | 31.021277 | 72 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_mask_heads/test_fcn_mask_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from parameterized import parameterized
from mmdet.models.roi_heads.mask_heads import FCNMaskHead
class TestFCNMaskHead(TestC... | 3,432 | 37.573034 | 79 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_mask_heads/test_feature_relay_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from parameterized import parameterized
from torch import Tensor
from mmdet.models.roi_heads.mask_heads import FeatureRelayHead
class TestFeatureRelayHead(TestCase):
@parameterized.expand(['cpu', 'cuda'])... | 795 | 28.481481 | 74 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_mask_heads/test_grid_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import unittest
from unittest import TestCase
import torch
from mmengine.config import ConfigDict
from mmengine.structures import InstanceData
from parameterized import parameterized
from mmdet.models.roi_heads.mask_heads import GridHead
from mmdet.models.utils import u... | 3,034 | 34.290698 | 77 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_mask_heads/test_coarse_mask_head.py | import unittest
import torch
from parameterized import parameterized
from mmdet.models.roi_heads.mask_heads import CoarseMaskHead
class TestCoarseMaskHead(unittest.TestCase):
def test_init(self):
with self.assertRaises(AssertionError):
CoarseMaskHead(num_fcs=0)
with self.assertRais... | 1,229 | 28.285714 | 72 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_roi_extractors/test_generic_roi_extractor.py | import unittest
import torch
from mmdet.models.roi_heads.roi_extractors import GenericRoIExtractor
class TestGenericRoIExtractor(unittest.TestCase):
def test_init(self):
with self.assertRaises(AssertionError):
GenericRoIExtractor(
aggregation='other',
roi_lay... | 3,384 | 32.186275 | 78 | py |
ERD | ERD-main/tests/test_models/test_roi_heads/test_roi_extractors/test_single_level_roi_extractor.py | import unittest
import torch
from mmdet.models.roi_heads.roi_extractors import SingleRoIExtractor
class TestSingleRoIExtractor(unittest.TestCase):
def test_forward(self):
cfg = dict(
roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=2),
out_channels=16,
f... | 1,246 | 30.175 | 78 | py |
ERD | ERD-main/tests/test_datasets/test_samplers/test_multi_source_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
import bisect
from unittest import TestCase
from unittest.mock import patch
import numpy as np
from torch.utils.data import ConcatDataset, Dataset
from mmdet.datasets.samplers import GroupMultiSourceSampler, MultiSourceSampler
class DummyDataset(Dataset):
def __... | 3,732 | 33.564815 | 79 | py |
ERD | ERD-main/tests/test_datasets/test_samplers/test_batch_sampler.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
from unittest.mock import patch
import numpy as np
from mmengine.dataset import DefaultSampler
from torch.utils.data import Dataset
from mmdet.datasets.samplers import AspectRatioBatchSampler
class DummyDataset(Dataset):
def __init_... | 2,989 | 35.91358 | 78 | py |
ERD | ERD-main/tests/test_datasets/test_transforms/test_formatting.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
import unittest
import numpy as np
import torch
from mmengine.structures import InstanceData, PixelData
from mmdet.datasets.transforms import PackDetInputs
from mmdet.structures import DetDataSample
from mmdet.structures.mask import Bit... | 4,415 | 42.294118 | 78 | py |
ERD | ERD-main/tests/test_datasets/test_transforms/test_transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
import unittest
import mmcv
import numpy as np
import torch
from mmcv.transforms import LoadImageFromFile
# yapf:disable
from mmdet.datasets.transforms import (CopyPaste, CutOut, Expand,
FixShapeRe... | 72,142 | 41.139603 | 79 | py |
ERD | ERD-main/tests/test_apis/test_inference.py | import os
from pathlib import Path
import numpy as np
import pytest
import torch
from mmdet.apis import inference_detector, init_detector
from mmdet.structures import DetDataSample
from mmdet.utils import register_all_modules
# TODO: Waiting to fix multiple call error bug
register_all_modules()
@pytest.mark.parame... | 2,737 | 34.558442 | 78 | py |
ERD | ERD-main/tests/test_apis/test_det_inferencer.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
from unittest import TestCase, mock
from unittest.mock import Mock, patch
import mmcv
import mmengine
import numpy as np
import torch
from mmengine.structures import InstanceData
from mmengine.utils import is_list_of
from parameteriz... | 6,856 | 40.307229 | 79 | py |
ERD | ERD-main/tests/test_utils/test_memory.py | import numpy as np
import pytest
import torch
from mmdet.utils import AvoidOOM
from mmdet.utils.memory import cast_tensor_type
def test_avoidoom():
tensor = torch.from_numpy(np.random.random((20, 20)))
if torch.cuda.is_available():
tensor = tensor.cuda()
# get default result
default_r... | 4,261 | 42.050505 | 75 | py |
ERD | ERD-main/tests/test_utils/test_benchmark.py | import copy
import os
import tempfile
import unittest
import torch
from mmengine import Config, MMLogger
from mmengine.dataset import Compose
from mmengine.model import BaseModel
from torch.utils.data import Dataset
from mmdet.registry import DATASETS, MODELS
from mmdet.utils import register_all_modules
from mmdet.ut... | 11,696 | 36.732258 | 79 | py |
ERD | ERD-main/tests/test_visualization/test_local_visualizer.py | import os
from unittest import TestCase
import cv2
import numpy as np
import torch
from mmengine.structures import InstanceData, PixelData
from mmdet.evaluation import INSTANCE_OFFSET
from mmdet.structures import DetDataSample
from mmdet.visualization import DetLocalVisualizer
def _rand_bboxes(num_boxes, h, w):
... | 4,149 | 33.297521 | 78 | py |
ERD | ERD-main/demo/webcam_demo.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import cv2
import mmcv
import torch
from mmdet.apis import inference_detector, init_detector
from mmdet.registry import VISUALIZERS
def parse_args():
parser = argparse.ArgumentParser(description='MMDetection webcam demo')
parser.add_argument('c... | 1,930 | 28.257576 | 78 | py |
ERD | ERD-main/demo/video_gpuaccel_demo.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from typing import Tuple
import cv2
import mmcv
import numpy as np
import torch
import torch.nn as nn
from mmcv.transforms import Compose
from mmengine.utils import track_iter_progress
from mmdet.apis import init_detector
from mmdet.registry import VISUA... | 4,725 | 32.048951 | 77 | py |
ERD | ERD-main/configs/ghm/retinanet_x101-32x4d_fpn_ghm-1x_coco.py | _base_ = './retinanet_r50_fpn_ghm-1x_coco.py'
model = dict(
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
style='pytorch... | 423 | 27.266667 | 76 | py |
ERD | ERD-main/configs/ghm/retinanet_x101-64x4d_fpn_ghm-1x_coco.py | _base_ = './retinanet_r50_fpn_ghm-1x_coco.py'
model = dict(
backbone=dict(
type='ResNeXt',
depth=101,
groups=64,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
style='pytorch... | 423 | 27.266667 | 76 | py |
ERD | ERD-main/configs/ghm/retinanet_r101_fpn_ghm-1x_coco.py | _base_ = './retinanet_r50_fpn_ghm-1x_coco.py'
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(type='Pretrained',
checkpoint='torchvision://resnet101')))
| 201 | 27.857143 | 61 | py |
ERD | ERD-main/configs/dcn/faster-rcnn_x101-32x4d-dconv-c3-c5_fpn_1x_coco.py | _base_ = '../faster_rcnn/faster-rcnn_r50_fpn_1x_coco.py'
model = dict(
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
sty... | 557 | 31.823529 | 76 | py |
ERD | ERD-main/configs/htc/htc-without-semantic_r50_fpn_1x_coco.py | _base_ = [
'../_base_/datasets/coco_instance.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
# model settings
model = dict(
type='HybridTaskCascade',
data_preprocessor=dict(
type='DetDataPreprocessor',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12... | 7,857 | 34.080357 | 79 | py |
ERD | ERD-main/configs/htc/htc_x101-32x4d_fpn_16xb1-20e_coco.py | _base_ = './htc_r50_fpn_1x_coco.py'
model = dict(
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
... | 828 | 24.121212 | 79 | py |
ERD | ERD-main/configs/htc/htc_r101_fpn_20e_coco.py | _base_ = './htc_r50_fpn_20e_coco.py'
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(type='Pretrained',
checkpoint='torchvision://resnet101')))
| 192 | 26.571429 | 61 | py |
ERD | ERD-main/configs/dino/dino-4scale_r50_8xb2-12e_coco.py | _base_ = [
'../_base_/datasets/coco_detection.py', '../_base_/default_runtime.py'
]
model = dict(
type='DINO',
num_queries=900, # num_matching_queries
with_box_refine=True,
as_two_stage=True,
data_preprocessor=dict(
type='DetDataPreprocessor',
mean=[123.675, 116.28, 103.53],
... | 5,783 | 34.268293 | 85 | py |
ERD | ERD-main/configs/strong_baselines/mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_amp-lsj-100e_coco.py | _base_ = 'mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco.py' # noqa
# Enable automatic-mixed-precision training with AmpOptimWrapper.
optim_wrapper = dict(type='AmpOptimWrapper')
| 202 | 39.6 | 89 | py |
ERD | ERD-main/configs/strong_baselines/mask-rcnn_r50_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco.py | _base_ = [
'../_base_/models/mask-rcnn_r50_fpn.py',
'../common/lsj-100e_coco-instance.py'
]
image_size = (1024, 1024)
batch_augments = [
dict(type='BatchFixedSizePad', size=image_size, pad_mask=True)
]
norm_cfg = dict(type='SyncBN', requires_grad=True)
# Use MMSyncBN that handles empty tensor in head. It c... | 1,123 | 35.258065 | 77 | py |
ERD | ERD-main/configs/strong_baselines/mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco.py | _base_ = [
'../_base_/models/mask-rcnn_r50_fpn.py',
'../common/lsj-100e_coco-instance.py'
]
image_size = (1024, 1024)
batch_augments = [
dict(type='BatchFixedSizePad', size=image_size, pad_mask=True)
]
norm_cfg = dict(type='SyncBN', requires_grad=True)
# Use MMSyncBN that handles empty tensor in head. It ca... | 2,276 | 32 | 76 | py |
ERD | ERD-main/configs/strong_baselines/mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-400e_coco.py | _base_ = './mask-rcnn_r50-caffe_fpn_rpn-2conv_4conv1fc_syncbn-all_lsj-100e_coco.py' # noqa
# Use RepeatDataset to speed up training
# change repeat time from 4 (for 100 epochs) to 16 (for 400 epochs)
train_dataloader = dict(dataset=dict(times=4 * 4))
param_scheduler = [
dict(
type='LinearLR',
star... | 543 | 24.904762 | 91 | py |
ERD | ERD-main/configs/reppoints/reppoints-moment_x101-dconv-c3-c5_fpn-gn_head-gn_2x_coco.py | _base_ = './reppoints-moment_r50_fpn-gn_head-gn_2x_coco.py'
model = dict(
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
... | 560 | 32 | 76 | py |
ERD | ERD-main/configs/reppoints/reppoints-moment_r101_fpn-gn_head-gn_2x_coco.py | _base_ = './reppoints-moment_r50_fpn-gn_head-gn_2x_coco.py'
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(type='Pretrained',
checkpoint='torchvision://resnet101')))
| 215 | 29.857143 | 61 | py |
ERD | ERD-main/configs/reppoints/reppoints-moment_r50_fpn_1x_coco.py | _base_ = [
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
model = dict(
type='RepPointsDetector',
data_preprocessor=dict(
type='DetDataPreprocessor',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
... | 2,282 | 29.44 | 79 | py |
ERD | ERD-main/configs/reppoints/reppoints-moment_r101-dconv-c3-c5_fpn-gn_head-gn_2x_coco.py | _base_ = './reppoints-moment_r50_fpn-gn_head-gn_2x_coco.py'
model = dict(
backbone=dict(
depth=101,
dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False),
stage_with_dcn=(False, True, True, True),
init_cfg=dict(type='Pretrained',
checkpoint='torchvisio... | 338 | 36.666667 | 72 | py |
ERD | ERD-main/configs/gfl/gfl_x101-32x4d-dconv-c4-c5_fpn_ms-2x_coco.py | _base_ = './gfl_r50_fpn_ms-2x_coco.py'
model = dict(
type='GFL',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
dcn=d... | 580 | 29.578947 | 76 | py |
ERD | ERD-main/configs/gfl/gfl_r101_fpn_ms-2x_coco.py | _base_ = './gfl_r50_fpn_ms-2x_coco.py'
model = dict(
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
style='pytorch',
init_cfg=dict(... | 401 | 27.714286 | 61 | py |
ERD | ERD-main/configs/gfl/gfl_x101-32x4d_fpn_ms-2x_coco.py | _base_ = './gfl_r50_fpn_ms-2x_coco.py'
model = dict(
type='GFL',
backbone=dict(
type='ResNeXt',
depth=101,
groups=32,
base_width=4,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_... | 456 | 25.882353 | 76 | py |
ERD | ERD-main/configs/gfl/gfl_r50_fpn_1x_coco.py | _base_ = [
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
model = dict(
type='GFL',
data_preprocessor=dict(
type='DetDataPreprocessor',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
bgr_to_rgb=... | 1,986 | 28.656716 | 79 | py |
ERD | ERD-main/configs/gfl/gfl_r101-dconv-c3-c5_fpn_ms-2x_coco.py | _base_ = './gfl_r50_fpn_ms-2x_coco.py'
model = dict(
backbone=dict(
type='ResNet',
depth=101,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
dcn=dict(type='DCN', deform_groups=1, fallback_on_stride=False)... | 524 | 31.8125 | 72 | py |
ERD | ERD-main/configs/tridentnet/tridentnet_r50-caffe_1x_coco.py | _base_ = [
'../_base_/models/faster-rcnn_r50-caffe-c4.py',
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
model = dict(
type='TridentFasterRCNN',
backbone=dict(
type='TridentResNet',
trident_dilations=(1, 2, 3),
... | 748 | 31.565217 | 74 | py |
ERD | ERD-main/configs/tridentnet/tridentnet_r50-caffe_ms-1x_coco.py | _base_ = 'tridentnet_r50-caffe_1x_coco.py'
train_pipeline = [
dict(type='LoadImageFromFile', backend_args={{_base_.backend_args}}),
dict(type='LoadAnnotations', with_bbox=True),
dict(
type='RandomChoiceResize',
scales=[(1333, 640), (1333, 672), (1333, 704), (1333, 736),
(133... | 505 | 30.625 | 73 | py |
ERD | ERD-main/configs/tridentnet/tridentnet_r50-caffe_ms-3x_coco.py | _base_ = 'tridentnet_r50-caffe_ms-1x_coco.py'
# learning rate
max_epochs = 36
train_cfg = dict(
type='EpochBasedTrainLoop', max_epochs=max_epochs, val_interval=1)
param_scheduler = [
dict(
type='LinearLR', start_factor=0.001, by_epoch=False, begin=0, end=500),
dict(
type='MultiStepLR',
... | 431 | 21.736842 | 79 | py |
ERD | ERD-main/configs/paa/paa_r50_fpn_1x_coco.py | _base_ = [
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
]
# model settings
model = dict(
type='PAA',
data_preprocessor=dict(
type='DetDataPreprocessor',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
... | 2,384 | 28.444444 | 79 | py |
ERD | ERD-main/configs/paa/paa_r101_fpn_ms-3x_coco.py | _base_ = './paa_r50_fpn_ms-3x_coco.py'
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(type='Pretrained',
checkpoint='torchvision://resnet101')))
| 194 | 26.857143 | 61 | py |
ERD | ERD-main/configs/paa/paa_r101_fpn_1x_coco.py | _base_ = './paa_r50_fpn_1x_coco.py'
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(type='Pretrained',
checkpoint='torchvision://resnet101')))
| 191 | 26.428571 | 61 | py |
ERD | ERD-main/configs/yolact/yolact_r50_1xb8-55e_coco.py | _base_ = [
'../_base_/datasets/coco_instance.py', '../_base_/default_runtime.py'
]
img_norm_cfg = dict(
mean=[123.68, 116.78, 103.94], std=[58.40, 57.12, 57.38], to_rgb=True)
# model settings
input_size = 550
model = dict(
type='YOLACT',
data_preprocessor=dict(
type='DetDataPreprocessor',
... | 5,373 | 30.426901 | 79 | py |
ERD | ERD-main/configs/yolact/yolact_r101_1xb8-55e_coco.py | _base_ = './yolact_r50_1xb8-55e_coco.py'
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(type='Pretrained',
checkpoint='torchvision://resnet101')))
| 197 | 23.75 | 61 | py |
ERD | ERD-main/configs/crowddet/crowddet-rcnn_r50_fpn_8xb2-30e_crowdhuman.py | _base_ = ['../_base_/default_runtime.py']
model = dict(
type='CrowdDet',
data_preprocessor=dict(
type='DetDataPreprocessor',
mean=[103.53, 116.28, 123.675],
std=[57.375, 57.12, 58.395],
bgr_to_rgb=False,
pad_size_divisor=64,
# This option is set according to http... | 7,480 | 31.811404 | 79 | py |
ERD | ERD-main/configs/mask2former/mask2former_r101_8xb2-lsj-50e_coco.py | _base_ = ['./mask2former_r50_8xb2-lsj-50e_coco.py']
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(type='Pretrained',
checkpoint='torchvision://resnet101')))
| 208 | 25.125 | 61 | py |
ERD | ERD-main/configs/mask2former/mask2former_r101_8xb2-lsj-50e_coco-panoptic.py | _base_ = './mask2former_r50_8xb2-lsj-50e_coco-panoptic.py'
model = dict(
backbone=dict(
depth=101,
init_cfg=dict(type='Pretrained',
checkpoint='torchvision://resnet101')))
| 215 | 26 | 61 | py |
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