def test_save_segmentation(self):
'''
test correct bbox conversion
'''
subject = ImportCoco(self.dataset)
# add boundingbox [x,y,width,height]
import_data = copy.deepcopy(self.correct_json_data)
import_data['annotations'].append({
'id':
1002,
'image_id':
1,
'category_id':
3,
'segmentation': [[10, 10, 20, 10, 20, 20, 10, 20]],
'mask':
'somestring',
'iscrowd':
True
})
subject.data = subject.convert(import_data)
subject.save()
result_anno_seg = Annotation.segmentation_objects.all()[0]
self.assertEqual(result_anno_seg.identifier, '1002')
self.assertEqual(result_anno_seg.category.identifier, '3')
self.assertEqual(result_anno_seg.image.identifier, '1')
self.assertEqual(result_anno_seg.segmentation,
[[10, 10, 20, 10, 20, 20, 10, 20]])
self.assertEqual(result_anno_seg.mask, 'somestring')
self.assertEqual(result_anno_seg.is_crowd, True)
def test_save_bbox(self):
'''
test correct bbox conversion
'''
import copy
subject = ImportCoco(self.dataset)
# add boundingbox [x,y,width,height]
import_data = copy.deepcopy(self.correct_json_data)
import_data['annotations'].append({
'id': 1001,
'image_id': 1,
'category_id': 3,
'bbox': [100, 100, 100, 100],
'iscrowd': True
})
subject.data = subject.convert(import_data)
subject.save()
result_anno_bbox = Annotation.boundingbox_objects.all()[0]
self.assertEqual(result_anno_bbox.identifier, '1001')
self.assertEqual(result_anno_bbox.category.identifier, '3')
self.assertEqual(result_anno_bbox.image.identifier, '1')
self.assertEqual(result_anno_bbox.x_min, 100)
self.assertEqual(result_anno_bbox.y_min, 100)
self.assertEqual(result_anno_bbox.x_max, 200)
self.assertEqual(result_anno_bbox.y_max, 200)
self.assertEqual(result_anno_bbox.is_crowd, True)
def test_import_ids(self):
'''
we only need to import stuff, that belongs to defined images
so we can ignore the rest
'''
subject = ImportCoco(self.dataset)
subject.data = subject.convert(self._incorrect_data())
result = subject.import_ids()
self.assertEqual(result['images'], [1])
self.assertEqual(result['annotations'], [2])
self.assertEqual(result['categories'], [3])
self.assertEqual(result['licenses'], [5])
def test_stats_cleaned(self):
'''
we only need to import stuff, that belongs to defined images
so we can ignore the rest
'''
subject = ImportCoco(self.dataset)
subject.data = subject.convert(self._incorrect_data())
result = subject.stats()
self.assertEqual(
result, {
'images': 1,
'images_all': 1,
'annotations': 1,
'annotations_all': 2,
'categories': 1,
'categories_all': 2,
'licenses': 1,
'licenses_all': 2
})
def test_save_annotation(self):
'''
test correct bbox conversion
'''
import copy
subject = ImportCoco(self.dataset)
# add boundingbox [x,y,width,height]
import_data = copy.deepcopy(self.correct_json_data)
import_data['annotations'].append({
'id': 1000,
'image_id': 1,
'category_id': 3,
})
subject.data = subject.convert(import_data)
subject.save()
result_anno = Annotation.objects.all()[1]
self.assertEqual(result_anno.identifier, '1000')
self.assertEqual(result_anno.category.identifier, '3')
self.assertEqual(result_anno.image.identifier, '1')
def test_save(self):
'''
we only need to import stuff, that belongs to defined images
so we can ignore the rest
'''
subject = ImportCoco(self.dataset)
subject.data = subject.convert(self.correct_json_data)
subject.save()
result_i = [image.identifier for image in Image.objects.all()]
expected_i = [
str(image['id']) for image in self.correct_json_data['images']
]
self.assertEqual(expected_i, result_i)
result_c = [category.identifier for category in Category.objects.all()]
expected_c = [
str(category['id'])
for category in self.correct_json_data['categories']
]
self.assertEqual(expected_i, result_i)