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Hand-Datasets-Raw / EgoHOS /raw /script /mmsegmentation /tests /test_data /test_tta.py
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# Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import mmcv
import pytest
from mmcv.utils import build_from_cfg
from mmseg.datasets.builder import PIPELINES
def test_multi_scale_flip_aug():
# test assertion if img_scale=None, img_ratios=1 (not float).
with pytest.raises(AssertionError):
tta_transform = dict(
type='MultiScaleFlipAug',
img_scale=None,
img_ratios=1,
transforms=[dict(type='Resize', keep_ratio=False)],
)
build_from_cfg(tta_transform, PIPELINES)
# test assertion if img_scale=None, img_ratios=None.
with pytest.raises(AssertionError):
tta_transform = dict(
type='MultiScaleFlipAug',
img_scale=None,
img_ratios=None,
transforms=[dict(type='Resize', keep_ratio=False)],
)
build_from_cfg(tta_transform, PIPELINES)
# test assertion if img_scale=(512, 512), img_ratios=1 (not float).
with pytest.raises(AssertionError):
tta_transform = dict(
type='MultiScaleFlipAug',
img_scale=(512, 512),
img_ratios=1,
transforms=[dict(type='Resize', keep_ratio=False)],
)
build_from_cfg(tta_transform, PIPELINES)
tta_transform = dict(
type='MultiScaleFlipAug',
img_scale=(512, 512),
img_ratios=[0.5, 1.0, 2.0],
flip=False,
transforms=[dict(type='Resize', keep_ratio=False)],
)
tta_module = build_from_cfg(tta_transform, PIPELINES)
results = dict()
# (288, 512, 3)
img = mmcv.imread(
osp.join(osp.dirname(__file__), '../data/color.jpg'), 'color')
results['img'] = img
results['img_shape'] = img.shape
results['ori_shape'] = img.shape
# Set initial values for default meta_keys
results['pad_shape'] = img.shape
results['scale_factor'] = 1.0
tta_results = tta_module(results.copy())
assert tta_results['scale'] == [(256, 256), (512, 512), (1024, 1024)]
assert tta_results['flip'] == [False, False, False]
tta_transform = dict(
type='MultiScaleFlipAug',
img_scale=(512, 512),
img_ratios=[0.5, 1.0, 2.0],
flip=True,
transforms=[dict(type='Resize', keep_ratio=False)],
)
tta_module = build_from_cfg(tta_transform, PIPELINES)
tta_results = tta_module(results.copy())
assert tta_results['scale'] == [(256, 256), (256, 256), (512, 512),
(512, 512), (1024, 1024), (1024, 1024)]
assert tta_results['flip'] == [False, True, False, True, False, True]
tta_transform = dict(
type='MultiScaleFlipAug',
img_scale=(512, 512),
img_ratios=1.0,
flip=False,
transforms=[dict(type='Resize', keep_ratio=False)],
)
tta_module = build_from_cfg(tta_transform, PIPELINES)
tta_results = tta_module(results.copy())
assert tta_results['scale'] == [(512, 512)]
assert tta_results['flip'] == [False]
tta_transform = dict(
type='MultiScaleFlipAug',
img_scale=(512, 512),
img_ratios=1.0,
flip=True,
transforms=[dict(type='Resize', keep_ratio=False)],
)
tta_module = build_from_cfg(tta_transform, PIPELINES)
tta_results = tta_module(results.copy())
assert tta_results['scale'] == [(512, 512), (512, 512)]
assert tta_results['flip'] == [False, True]
tta_transform = dict(
type='MultiScaleFlipAug',
img_scale=None,
img_ratios=[0.5, 1.0, 2.0],
flip=False,
transforms=[dict(type='Resize', keep_ratio=False)],
)
tta_module = build_from_cfg(tta_transform, PIPELINES)
tta_results = tta_module(results.copy())
assert tta_results['scale'] == [(256, 144), (512, 288), (1024, 576)]
assert tta_results['flip'] == [False, False, False]
tta_transform = dict(
type='MultiScaleFlipAug',
img_scale=None,
img_ratios=[0.5, 1.0, 2.0],
flip=True,
transforms=[dict(type='Resize', keep_ratio=False)],
)
tta_module = build_from_cfg(tta_transform, PIPELINES)
tta_results = tta_module(results.copy())
assert tta_results['scale'] == [(256, 144), (256, 144), (512, 288),
(512, 288), (1024, 576), (1024, 576)]
assert tta_results['flip'] == [False, True, False, True, False, True]
tta_transform = dict(
type='MultiScaleFlipAug',
img_scale=[(256, 256), (512, 512), (1024, 1024)],
img_ratios=None,
flip=False,
transforms=[dict(type='Resize', keep_ratio=False)],
)
tta_module = build_from_cfg(tta_transform, PIPELINES)
tta_results = tta_module(results.copy())
assert tta_results['scale'] == [(256, 256), (512, 512), (1024, 1024)]
assert tta_results['flip'] == [False, False, False]
tta_transform = dict(
type='MultiScaleFlipAug',
img_scale=[(256, 256), (512, 512), (1024, 1024)],
img_ratios=None,
flip=True,
transforms=[dict(type='Resize', keep_ratio=False)],
)
tta_module = build_from_cfg(tta_transform, PIPELINES)
tta_results = tta_module(results.copy())
assert tta_results['scale'] == [(256, 256), (256, 256), (512, 512),
(512, 512), (1024, 1024), (1024, 1024)]
assert tta_results['flip'] == [False, True, False, True, False, True]