f27993c9ecae9cc8d714baa86cb595ed393c1a35,main.py,,get_train_utils,#Any#Any#,95

Before Change

        crop_method = [Resize(opt.sample_size), CenterCrop(opt.sample_size)]
    normalize = get_normalize_method(opt.mean, opt.std, opt.no_mean_norm,
                                     opt.no_std_norm)
    spatial_transform = Compose(crop_method + [
        RandomHorizontalFlip(),
        ToTensor(),
        ScaleValue(opt.value_scale), normalize
    ])

    assert opt.train_t_crop in ["random", "center"]
    if opt.train_t_crop == "random":
        temporal_transform = TemporalRandomCrop(opt.sample_duration)

After Change

    spatial_transform.append(ToTensor())
    spatial_transform.append(ScaleValue(opt.value_scale))
    spatial_transform.append(normalize)
    spatial_transform = Compose(spatial_transform)

    assert opt.train_t_crop in ["random", "center"]
    if opt.train_t_crop == "random":
        temporal_transform = TemporalRandomCrop(opt.sample_duration)

Instances