def test_image_from_opencv():
"""load image from OpenCV object check"""
import cv2
img1 = Image(path=TEST_IMAGE_PATH)
img2 = Image(opencv_image=cv2.imread(TEST_IMAGE_PATH))
assert img1.diff_percent(img2) == 0
assert img1 == img2
def test_image_save():
"""save image check"""
path_save = '/tmp/MoLA_test/test.jpg'
img = Image(path=TEST_IMAGE_PATH)
img.save(path_save, quality=100)
assert Image(path=path_save) == img
def test_image_from_row():
"""load image from raw string check"""
with open(TEST_IMAGE_PATH, 'rb') as f:
raw = f.read()
img1 = Image(path=TEST_IMAGE_PATH)
img2 = Image(raw=raw)
assert img1.diff_percent(img2) == 0
assert img1 == img2
def test_image_diff_percent():
"""different_percent method check"""
img = Image(path=TEST_IMAGE_PATH)
assert img.diff_percent(img) == 0
assert img == img
img2 = Image(path=TEST_IMAGE_PATH).greyscale()
assert img.diff_percent(img2) == 100
assert img != img2
def test_image_cast():
"""cast image check"""
img = Image(path=TEST_IMAGE_PATH)
cast_img = Image(path=TEST_IMAGE_PATH)
# cast loop
for _ in range(10):
cast_img = Image(opencv_image=cast_img.get_opencv())
cast_img = Image(pil_image=cast_img.get_pil())
assert img == cast_img
def _make_snapshot_done(self, result):
"""Process after make_snapshot method"""
if not result:
return
image = Image(raw=result)
# motion detection check
if self.__snapshot:
diff_percent = image.diff_percent(self.__snapshot)
if diff_percent > self.motion_threshold:
event = self.fire(
"motion_detection", new=image, old=self.__snapshot, device=self, diff_percent=diff_percent
)
self.fire("analyse_image", image=image, device=self, parent=event)
self.__snapshot_timestamp = time.time()
self.__snapshot = image
return image
def test_image_from_pil():
"""load image from PIL object check"""
img1 = Image(path=TEST_IMAGE_PATH)
img2 = Image(pil_image=ImagePil.open(TEST_IMAGE_PATH))
assert img1.diff_percent(img2) == 0
assert img1 == img2