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View Code? Open in Web Editor NEWFace Detection, verification and recognition in Near real time on CPU brewing with all the SOTA all over
License: Apache License 2.0
Face Detection, verification and recognition in Near real time on CPU brewing with all the SOTA all over
License: Apache License 2.0
make fill box and font size dynamic in size
hello, where to get vggface.h5? thankyou
generates incorrect file link
(opencv-env) F:\RBS FaceReid\accessfaceid>python livestream/newmain.py
2019-05-21 12:13:52.029104: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
[LOG] Loading Encoded faces Database ...
[Camera Server] Camera is initializing ...
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 0 faces!
[FaceTracker Server] Found 1 faces!
[Base Server] Running inference...
Traceback (most recent call last):
File "livestream/newmain.py", line 74, in
demo.run()
File ".\modules\camera_server.py", line 40, in run
self.processs(frame)
File "livestream/newmain.py", line 51, in processs
_similar_face_name = self.face_db.get_similar_faces(_face_description)
File ".\modules\face_db.py", line 37, in get_similar_faces
print('[Face DB] Looking for similar faces in a DataBase of {} faces...'.format(len(self.faces)))
AttributeError: 'Model' object has no attribute 'faces'
[ WARN:1] terminating async callback
Recognition doesn't work because encoding do not use face alignment
It would be handy to have a visualization tool/script to check post alignment output.
Traceback (most recent call last):
File "register/register.py", line 79, in
register.run()
File ".\modules\camera_server.py", line 40, in run
self.processs(frame)
File "register/register.py", line 58, in processs
_similar_face_name = self.face_db.who_is_this_face(_face_description, cores='single')
File ".\modules\face_db.py", line 54, in who_is_this_face
who_is_this = compare_faces(self.faces_descriptions, self.faces_names, face_description)
File ".\utils\utils_insightface.py", line 57, in compare_faces
face_value,name= face_distance(known_face_encodings, names, face_query)
File ".\utils\utils_insightface.py", line 11, in face_distance
face_dist_value = np.linalg.norm(face_encodings - face_query, axis=1)
ValueError: operands could not be broadcast together with shapes (16384,) (512,)
[ WARN:0] terminating async callback
Recongition even after using insightface for one shot examples happens to have a lot of wrong labels being given.
[Live Streaming] -----------------------------------------------------------
[FaceTracker Server] Found 1 faces!
[Base Server] Running inference...
[Live Streaming] -----------------------------------------------------------
[FaceTracker Server] Found 1 faces!
[Base Server] Running inference...
Traceback (most recent call last):
File "livestream/newmain.py", line 79, in
livestream.run()
File ".\modules\camera_server.py", line 40, in run
self.processs(frame)
File "livestream/newmain.py", line 53, in processs
_similar_face_name = self.face_db.who_is_this_face(_face_description)
File ".\modules\face_db.py", line 54, in who_is_this_face
who_is_this = compare_faces(self.faces_descriptions, self.faces_names, face_description, mode)
File ".\utils\utils_insightface.py", line 57, in compare_faces
name = face_distance_single_majority(known_face_encodings, names, face_query)
File ".\utils\utils_insightface.py", line 19, in face_distance_single_majority
name = max(set(name_list),key=name_list.count)
ValueError: max() arg is an empty sequence
[ WARN:0] terminating async callback
class FaceAlignment:
def __init__(self, landmarks_type, network_size=NetworkSize.LARGE,
device='cuda', flip_input=False, face_detector='sfd', verbose=False):
self.device = device
self.flip_input = flip_input
self.landmarks_type = landmarks_type
self.verbose = verbose
network_size = int(network_size)
if 'cuda' in device:
torch.backends.cudnn.benchmark = True
# Get the face detector
face_detector_module = __import__('face_alignment.detection.' + face_detector,
globals(), locals(), [face_detector], 0)
self.face_detector = face_detector_module.FaceDetector(device=device, verbose=verbose)
Green bbox for --> known
Red bbox for --> unkwon
For certain face pictures faced library is unable to detect a face in the image and crashes after it. Building a if-else / try catch for same is required.
statistics. Statistics Error: no unique mode; found 2 equally common values error
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