Exemplo n.º 1
0
    def test_get_similar_images(self):
        collection1 = Collection(name='Collection1',
                                 owner=self.u1,
                                 DOI='10.3389/fninf.2015.00099')

        collection1.save()
        collection2 = Collection(name='Collection2',
                                 owner=self.u1,
                                 DOI='10.3389/fninf.2015.00089')
        collection2.save()

        app_path = os.path.abspath(os.path.dirname(__file__))
        image1 = save_statmap_form(image_path=os.path.join(
            app_path, 'test_data/statmaps/all.nii.gz'),
                                   collection=collection1,
                                   image_name="image1")
        image2 = save_statmap_form(image_path=os.path.join(
            app_path, 'test_data/statmaps/all.nii.gz'),
                                   collection=collection2,
                                   image_name="image2")

        similar_images = get_similar_images(int(image1.pk))

        print "Success for this test means the pandas DataFrame shows the copy in first position with score of 1"
        self.assertEqual(similar_images['image_id'][0], int(image2.pk))
        self.assertEqual(similar_images['score'][0], 1)
Exemplo n.º 2
0
    def handle(self, *args, **options):
        down_data()

        clearDB()
        User.objects.all().delete()
        app_path = '/code/neurovault/apps/statmaps/tests/bench'
        u1 = User.objects.create(username='******')

        num_files = len(os.listdir(os.path.join(app_path, 'images/')))
        index_table = np.zeros(num_files)
        query_table = np.zeros(num_files)

        for i, file in enumerate(os.listdir(os.path.join(app_path, 'images/'))):
            #print 'Adding subject ' + file
            randomCollection = Collection(name='random' + file, owner=u1, DOI='10.3389/fninf.2015.00008' + str(i))
            randomCollection.save()

            t = Timer()
            with t:
                image = save_statmap_form(
                    image_path=os.path.join(app_path, 'images/', file),
                    collection=randomCollection,
                    image_name=file,
                    ignore_file_warning=True)
            index_table[i] = t.interval
            np.savetxt(os.path.join(app_path, 'results_index'+ str(datetime.datetime.utcnow())[:10] + '.csv'),
                       index_table, delimiter=",")

            t = Timer()
            with t:
                _dummy = get_similar_images(int(image.pk))
            query_table[i] = t.interval
            np.savetxt(os.path.join(app_path, 'results_query' + str(datetime.datetime.utcnow())[:10] + '.csv'),
                       query_table, delimiter=",")
Exemplo n.º 3
0
    def test_get_similar_images(self):
        collection1 = Collection(name='Collection1', owner=self.u1,
                                 DOI='10.3389/fninf.2015.00099')

        collection1.save()
        collection2 = Collection(name='Collection2', owner=self.u1,
                                 DOI='10.3389/fninf.2015.00089')
        collection2.save()

        app_path = os.path.abspath(os.path.dirname(__file__))
        image1 = save_statmap_form(image_path=os.path.join(app_path, 'test_data/statmaps/all.nii.gz'),
                                           collection=collection1,
                                           image_name="image1")
        image2 = save_statmap_form(image_path=os.path.join(app_path, 'test_data/statmaps/all.nii.gz'),
                                           collection=collection2,
                                           image_name="image2")

        similar_images = get_similar_images(int(image1.pk))

        print "Success for this test means the pandas DataFrame shows the copy in first position with score of 1"
        self.assertEqual(similar_images['image_id'][0], int(image2.pk))
        self.assertEqual(similar_images['score'][0], 1)