示例#1
0
    def test_frame_matching(self):
        task_paths = [
            'a.jpg',
            'a/a.jpg',
            'a/b.jpg',
            'b/a.jpg',
            'b/c.jpg',
            'a/b/c.jpg',
            'a/b/d.jpg',
        ]

        images = self._generate_task_images(task_paths)
        task = self._generate_task(images)
        task_data = TaskData(AnnotationIR(), Task.objects.get(pk=task["id"]))

        for input_path, expected, root in [
            ('z.jpg', None, ''),  # unknown item
            ('z/a.jpg', None, ''),  # unknown item
            ('d.jpg', 'a/b/d.jpg', 'a/b'),  # match with root hint
            ('b/d.jpg', 'a/b/d.jpg', 'a'),  # match with root hint
        ] + list(zip(task_paths, task_paths,
                     [None] * len(task_paths))):  # exact matches
            with self.subTest(input=input_path):
                actual = task_data.match_frame(input_path, root)
                if actual is not None:
                    actual = task_data.frame_info[actual]['path']
                self.assertEqual(expected, actual)
示例#2
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    def test_cant_make_abs_frame_id_from_unknown(self):
        images = self._generate_task_images(3)
        images['frame_filter'] = 'step=2'
        task = self._generate_task(images)
        task_data = TaskData(AnnotationIR(), Task.objects.get(pk=task['id']))

        with self.assertRaisesRegex(ValueError, r'Unknown'):
            task_data.abs_frame_id(2)  # the task has only 0 and 1 indices
示例#3
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    def test_can_make_abs_frame_id_from_known(self):
        images = self._generate_task_images(6)
        images['frame_filter'] = 'step=2'
        images['start_frame'] = 1
        task = self._generate_task(images)
        task_data = TaskData(AnnotationIR(), Task.objects.get(pk=task['id']))

        self.assertEqual(5, task_data.abs_frame_id(2))
示例#4
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    def test_dataset_root(self):
        for task_paths, dataset_paths, expected in [
            ([ 'a.jpg', 'b/c/a.jpg' ], [ 'a.jpg', 'b/c/a.jpg' ], ''),
            ([ 'b/a.jpg', 'b/c/a.jpg' ], [ 'a.jpg', 'c/a.jpg' ], 'b'), # 'images from share' case
            ([ 'b/c/a.jpg' ], [ 'a.jpg' ], 'b/c'), # 'images from share' case
            ([ 'a.jpg' ], [ 'z.jpg' ], None),
        ]:
            with self.subTest(expected=expected):
                images = self._generate_task_images(task_paths)
                task = self._generate_task(images)
                task_data = TaskData(AnnotationIR(),
                    Task.objects.get(pk=task["id"]))
                dataset = [
                    datumaro.components.extractor.DatasetItem(
                        id=osp.splitext(p)[0])
                    for p in dataset_paths]

                root = find_dataset_root(dataset, task_data)
                self.assertEqual(expected, root)