コード例 #1
0
ファイル: tasks.py プロジェクト: cmaumet/NeuroVault
def run_voxelwise_pearson_similarity(pk1):
    from neurovault.apps.statmaps.models import Image
    from neurovault.apps.statmaps.utils import get_images_to_compare_with

    imgs_pks = get_images_to_compare_with(pk1, for_generation=True)
    if imgs_pks:
        image = Image.objects.get(pk=pk1)
        # added for improved performance
        if not image.reduced_representation or not os.path.exists(image.reduced_representation.path):
            image = save_resampled_transformation_single(pk1)

        # exclude single subject maps from analysis
        for pk in imgs_pks:
            save_voxelwise_pearson_similarity.apply_async([pk, pk1])  # Default uses reduced_representaion, reduced_representation = True
コード例 #2
0
def run_voxelwise_pearson_similarity(pk1):
    from neurovault.apps.statmaps.models import Image
    from neurovault.apps.statmaps.utils import get_images_to_compare_with

    imgs_pks = get_images_to_compare_with(pk1, for_generation=True)
    if imgs_pks:
        image = Image.objects.get(pk=pk1)
        # added for improved performance
        if not image.reduced_representation or not os.path.exists(image.reduced_representation.path):
            image = save_resampled_transformation_single(pk1)

        # exclude single subject maps from analysis
        for pk in imgs_pks:
            save_voxelwise_pearson_similarity.apply_async([pk, pk1])  # Default uses reduced_representaion, reduced_representation = True