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[6d389a]: / tests / test_models / test_roi_extractor.py

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# Copyright (c) OpenMMLab. All rights reserved.

import torch



from mmaction.models import SingleRoIExtractor3D





def test_single_roi_extractor3d():

    roi_extractor = SingleRoIExtractor3D(

        roi_layer_type='RoIAlign',

        featmap_stride=16,

        output_size=8,

        sampling_ratio=0,

        pool_mode='avg',

        aligned=True,

        with_temporal_pool=True)

    feat = torch.randn([4, 64, 8, 16, 16])

    rois = torch.tensor([[0., 1., 1., 6., 6.], [1., 2., 2., 7., 7.],

                         [3., 2., 2., 9., 9.], [2., 2., 0., 10., 9.]])

    roi_feat, feat = roi_extractor(feat, rois)

    assert roi_feat.shape == (4, 64, 1, 8, 8)

    assert feat.shape == (4, 64, 1, 16, 16)



    feat = (torch.randn([4, 64, 8, 16, 16]), torch.randn([4, 32, 16, 16, 16]))

    roi_feat, feat = roi_extractor(feat, rois)

    assert roi_feat.shape == (4, 96, 1, 8, 8)

    assert feat.shape == (4, 96, 1, 16, 16)



    feat = torch.randn([4, 64, 8, 16, 16])

    roi_extractor = SingleRoIExtractor3D(

        roi_layer_type='RoIAlign',

        featmap_stride=16,

        output_size=8,

        sampling_ratio=0,

        pool_mode='avg',

        aligned=True,

        with_temporal_pool=False)

    roi_feat, feat = roi_extractor(feat, rois)

    assert roi_feat.shape == (4, 64, 8, 8, 8)

    assert feat.shape == (4, 64, 8, 16, 16)



    feat = (torch.randn([4, 64, 8, 16, 16]), torch.randn([4, 32, 16, 16, 16]))

    roi_feat, feat = roi_extractor(feat, rois)

    assert roi_feat.shape == (4, 96, 16, 8, 8)

    assert feat.shape == (4, 96, 16, 16, 16)



    feat = torch.randn([4, 64, 8, 16, 16])

    roi_extractor = SingleRoIExtractor3D(

        roi_layer_type='RoIAlign',

        featmap_stride=16,

        output_size=8,

        sampling_ratio=0,

        pool_mode='avg',

        aligned=True,

        with_temporal_pool=True,

        with_global=True)

    roi_feat, feat = roi_extractor(feat, rois)

    assert roi_feat.shape == (4, 128, 1, 8, 8)

    assert feat.shape == (4, 64, 1, 16, 16)