When I used the _get_landmarks_fromdirectory( ) function as recommended here, it was strange that the detected results of some images were wrong. Please check the images below:
While when I used the _getlandmarks( ) function to process each image with the code below, it turned out that all detected results seemed good.
def my_get_landmarks_from_directory(fa, path):
img_list_raw = glob.glob(os.path.join(path, '*'))
img_list = [p for p in img_list_raw if is_image(p)]
predictions, no_face_detected = {}, []
for p in tqdm(img_list):
input = cv2.imread(p)
preds = fa.get_landmarks(input[..., ::-1])
if preds is None:
no_face_detected.append(p)
predictions[p] = preds if preds is None else preds[0].tolist()
return predictions, no_face_detected
I tried to dive into the source code to figure out if there were any bugs in _get_landmarks_fromdirectory( ) function but everything seemed good, which made me confused. I attach two images in which I got wrong results when using _get_landmarks_fromdirectory( ). Please test them. Thanks a lot.
Hi there,
When I used the _get_landmarks_fromdirectory( ) function as recommended here, it was strange that the detected results of some images were wrong. Please check the images below:
While when I used the _getlandmarks( ) function to process each image with the code below, it turned out that all detected results seemed good.
I tried to dive into the source code to figure out if there were any bugs in _get_landmarks_fromdirectory( ) function but everything seemed good, which made me confused. I attach two images in which I got wrong results when using _get_landmarks_fromdirectory( ). Please test them. Thanks a lot.
