def test_delete_property(self):
"""
Verify the deleting a phony property does not raise an exception.
"""
xmp = XMPMeta()
xmp.parse_from_str(xmpcoverage.RDFCoverage, xmpmeta_wrap=True )
xmp.delete_property(xmpcoverage.NS1, "NotReallyThere" )
def test_delete_property(self):
"""
Verify the deleting a phony property does not raise an exception.
"""
xmp = XMPMeta()
xmp.parse_from_str(xmpcoverage.RDFCoverage, xmpmeta_wrap=True)
xmp.delete_property(xmpcoverage.NS1, "NotReallyThere")
def test_delete_property_bad_schema(self):
"""
Specifying a bad schema trigger an exception.
"""
xmp = XMPMeta()
xmp.parse_from_str(xmpcoverage.RDFCoverage, xmpmeta_wrap=True )
with self.assertRaises(XMPError):
xmp.delete_property("not really a schema", "NotReallyThere" )
def test_delete_property_bad_schema(self):
"""
Specifying a bad schema trigger an exception.
"""
xmp = XMPMeta()
xmp.parse_from_str(xmpcoverage.RDFCoverage, xmpmeta_wrap=True)
with self.assertRaises(XMPError):
xmp.delete_property("not really a schema", "NotReallyThere")
def test_exempi_core(self):
"""Corresponds to test_exempi.TestExempi.test_exempi_core"""
filename = pkg_resources.resource_filename(__name__,
"samples/test1.xmp")
with open(filename, 'r') as fptr:
strbuffer = fptr.read()
xmp = XMPMeta()
xmp.parse_from_str(strbuffer)
self.assertTrue(xmp.does_property_exist(NS_TIFF, 'Make'))
self.assertFalse(xmp.does_property_exist(NS_TIFF, 'Foo'))
prop = xmp.get_property(NS_TIFF, 'Make')
self.assertEqual(prop, 'Canon')
xmp.set_property(NS_TIFF, 'Make', 'Leica')
prop = xmp.get_property(NS_TIFF, 'Make')
self.assertEqual(prop, 'Leica')
# Some tests correspond to option masks not currently returned via
# this interface.
item = xmp.get_localized_text(NS_DC, 'rights', None, 'x-default')
self.assertEqual(item, "2006, Hubert Figuiere")
xmp.set_localized_text(NS_DC, 'rights', 'en', 'en-CA', 'Foo bar')
item = xmp.get_localized_text(NS_DC, 'rights', 'en', 'en-US')
# Can't look at the actual lang, unlike the original test.
self.assertEqual(item, 'Foo bar')
xmp.delete_localized_text(NS_DC, 'rights', 'en', 'en-CA')
self.assertFalse(xmp.does_property_exist(NS_DC, "rights[1]"))
xmp.set_array_item(NS_DC, "creator", 2, "foo")
xmp.append_array_item(NS_DC, "creator", "bar")
prop = xmp.get_array_item(NS_DC, "creator", 3)
self.assertEqual(prop, "bar")
xmp.delete_property(NS_DC, "creator[3]")
self.assertFalse(xmp.does_property_exist(NS_DC, "creator[3]"))
prop = xmp.get_property(NS_EXIF, "DateTimeOriginal")
self.assertEqual(prop, "2006-12-07T23:20:43-05:00")
the_prop = xmp.get_property_datetime(NS_EXIF, "DateTimeOriginal")
self.assertEqual(the_prop.year, 2006)
self.assertEqual(the_prop.minute, 20)
self.assertEqual(the_prop.tzinfo, pytz.utc)
prop = xmp.get_property(NS_XAP, "Rating")
self.assertEqual(prop, "3")
prop = xmp.get_property_float(NS_CAMERA_RAW_SETTINGS, "SharpenRadius")
self.assertEqual(prop, 1.0)
xmp.set_property_float(NS_CAMERA_RAW_SETTINGS, "SharpenRadius", 2.5)
prop = xmp.get_property_float(NS_CAMERA_RAW_SETTINGS, "SharpenRadius")
self.assertEqual(prop, 2.5)
prop = xmp.get_property_bool(NS_CAMERA_RAW_SETTINGS, "AlreadyApplied")
self.assertFalse(prop)
xmp.set_property_bool(NS_CAMERA_RAW_SETTINGS, "AlreadyApplied", True)
prop = xmp.get_property_bool(NS_CAMERA_RAW_SETTINGS, "AlreadyApplied")
self.assertTrue(prop)
prop = xmp.get_property_int(NS_EXIF, "MeteringMode")
self.assertEqual(prop, 5)
xmp.set_property_int(NS_EXIF, "MeteringMode", 10)
prop = xmp.get_property_long(NS_EXIF, "MeteringMode")
self.assertEqual(prop, 10)
xmp.set_property_long(NS_EXIF, "MeteringMode", 32)
prop = xmp.get_property_int(NS_EXIF, "MeteringMode")
self.assertEqual(prop, 32)
def export_to_xmp_files(args):
tmp_faces, img_labels = utils.load_img_labels(args.imgs_root)
faces = utils.FACES(tmp_faces)
if len(faces.dict_by_files) == 0:
print('no faces loaded')
exit()
total_images = utils.get_images_in_dir_rec(args.imgs_root)
for f in total_images:
img_path = os.path.splitext(f)[0] + os.path.splitext(f)[1].lower()
if os.path.dirname(
img_path
) != args.mask_folder and args.mask_folder != None or img_path.lower(
).endswith('.png'):
continue
xmp_path = os.path.splitext(f)[0] + '.xmp'
if os.path.exists(xmp_path):
with open(xmp_path, 'r') as fptr:
strbuffer = fptr.read()
xmp = XMPMeta()
xmp.parse_from_str(strbuffer)
else:
xmpfile = XMPFiles(file_path=f, open_forupdate=True)
xmp = xmpfile.get_xmp()
# print(f)
kw_faces, kw_tags, kw_categories, kw_labels, kw_miscs = get_keywords(
xmp)
kw_tags = []
kw_categories = []
kw_miscs = []
if img_path in faces.dict_by_files:
names = faces.get_names(faces.dict_by_files[img_path])
# remove detected, deleted and unknown
unwanted_names = {'detected', 'deleted', 'unknown'}
names = [ele for ele in names if ele not in unwanted_names]
face_names = prepare_names(names, 'f ')
else:
# if not os.path.exists(xmp_path):
# continue
face_names = []
labels = []
if img_path in img_labels:
if len(img_labels[img_path].tags) != 0:
labels += prepare_names([
t[0].lower()
for t in img_labels[img_path].tags if t[1] >= 30
], 'l ')
if len(img_labels[img_path].categories) != 0:
labels += prepare_names(
[c[0].lower() for c in img_labels[img_path].categories],
'l ')
if hasattr(img_labels[img_path], 'gcloud_labels'):
labels += prepare_names(
[l.lower() for l in img_labels[img_path].gcloud_labels],
'l ')
if hasattr(img_labels[img_path], 'gcloud_objects'):
labels += prepare_names(
[l.lower() for l in img_labels[img_path].gcloud_objects],
'l ')
if hasattr(img_labels[img_path], 'gcloud_web'):
labels += prepare_names(
[l.lower() for l in img_labels[img_path].gcloud_web], 'l ')
if hasattr(img_labels[img_path], 'gcloud_landmarks'):
labels += prepare_names([
l.lower()
for l in img_labels[img_path].gcloud_landmarks[::2]
], 'l ')
labels = list(set(labels))
if sorted(face_names) != sorted(kw_faces) or sorted(labels) != sorted(
kw_labels) or not os.path.exists(xmp_path):
xmp.delete_property(consts.XMP_NS_DC, 'subject')
for face in face_names:
xmp.append_array_item(consts.XMP_NS_DC, 'subject', face, {
'prop_array_is_ordered': True,
'prop_value_is_array': True
})
for l in labels:
xmp.append_array_item(consts.XMP_NS_DC, 'subject', l, {
'prop_array_is_ordered': True,
'prop_value_is_array': True
})
print('exporting file: {}'.format(os.path.basename(xmp_path)))
with open(xmp_path, 'w') as fptr:
fptr.write(xmp.serialize_to_str(omit_packet_wrapper=True))
def test_exempi_core(self):
"""Corresponds to test_exempi.TestExempi.test_exempi_core"""
filename = pkg_resources.resource_filename(__name__,
"samples/test1.xmp")
with open(filename, 'r') as fptr:
strbuffer = fptr.read()
xmp = XMPMeta()
xmp.parse_from_str(strbuffer)
self.assertTrue(xmp.does_property_exist(NS_TIFF, 'Make'))
self.assertFalse(xmp.does_property_exist(NS_TIFF, 'Foo'))
prop = xmp.get_property(NS_TIFF, 'Make')
self.assertEqual(prop, 'Canon')
xmp.set_property(NS_TIFF, 'Make', 'Leica')
prop = xmp.get_property(NS_TIFF, 'Make')
self.assertEqual(prop, 'Leica')
# Some tests correspond to option masks not currently returned via
# this interface.
item = xmp.get_localized_text(NS_DC, 'rights', None, 'x-default')
self.assertEqual(item, "2006, Hubert Figuiere")
xmp.set_localized_text(NS_DC, 'rights', 'en', 'en-CA', 'Foo bar')
item = xmp.get_localized_text(NS_DC, 'rights', 'en', 'en-US')
# Can't look at the actual lang, unlike the original test.
self.assertEqual(item, 'Foo bar')
xmp.delete_localized_text(NS_DC, 'rights', 'en', 'en-CA')
self.assertFalse(xmp.does_property_exist(NS_DC, "rights[1]"))
xmp.set_array_item(NS_DC, "creator", 2, "foo")
xmp.append_array_item(NS_DC, "creator", "bar")
prop = xmp.get_array_item(NS_DC, "creator", 3)
self.assertEqual(prop, "bar")
xmp.delete_property(NS_DC, "creator[3]")
self.assertFalse(xmp.does_property_exist(NS_DC, "creator[3]"))
prop = xmp.get_property(NS_EXIF, "DateTimeOriginal")
self.assertEqual(prop, "2006-12-07T23:20:43-05:00")
the_prop = xmp.get_property_datetime(NS_EXIF, "DateTimeOriginal")
self.assertEqual(the_prop.year, 2006)
self.assertEqual(the_prop.minute, 20)
self.assertEqual(the_prop.tzinfo, pytz.utc)
prop = xmp.get_property(NS_XAP, "Rating")
self.assertEqual(prop, "3")
prop = xmp.get_property_float(NS_CAMERA_RAW_SETTINGS, "SharpenRadius")
self.assertEqual(prop, 1.0)
xmp.set_property_float(NS_CAMERA_RAW_SETTINGS, "SharpenRadius", 2.5)
prop = xmp.get_property_float(NS_CAMERA_RAW_SETTINGS, "SharpenRadius")
self.assertEqual(prop, 2.5)
prop = xmp.get_property_bool(NS_CAMERA_RAW_SETTINGS, "AlreadyApplied")
self.assertFalse(prop)
xmp.set_property_bool(NS_CAMERA_RAW_SETTINGS, "AlreadyApplied", True)
prop = xmp.get_property_bool(NS_CAMERA_RAW_SETTINGS, "AlreadyApplied")
self.assertTrue(prop)
prop = xmp.get_property_int(NS_EXIF, "MeteringMode")
self.assertEqual(prop, 5)
xmp.set_property_int(NS_EXIF, "MeteringMode", 10)
prop = xmp.get_property_long(NS_EXIF, "MeteringMode")
self.assertEqual(prop, 10)
xmp.set_property_long(NS_EXIF, "MeteringMode", 32)
prop = xmp.get_property_int(NS_EXIF, "MeteringMode")
self.assertEqual(prop, 32)
