002c64b2ef562528043a1fd9961607415e1170aa,main.py,,get_test_utils,#,183

Before Change

    normalize = get_normalize_method(opt.mean, opt.std, opt.no_mean_norm,
                                     opt.no_std_norm)

    spatial_transform = [Resize(opt.sample_size)]
    if opt.test_crop == "center":
        spatial_transform.append(CenterCrop(opt.sample_size))
    spatial_transform += [ToTensor(), ScaleValue(opt.value_scale), normalize]
    spatial_transform = Compose(spatial_transform)

    temporal_transform = LoopPadding(opt.sample_duration)
    target_transform = TargetCompose([VideoID(), Segment()])

After Change

    if opt.test_crop == "center":
        temporal_transform = LoopPadding(opt.sample_duration)
    else:
        del spatial_transform[1]  //remove CenterCrop
        temporal_transform = SlidingWindow(opt.sample_duration, opt.test_stride)

    target_transform = TargetCompose([VideoID(), Segment()])

    test_data, collate_fn = get_test_set(

Instances