paul-pias / face-recognition Goto Github PK

Hi. I am YJHong and thanks for sharing your great work!

My questions are:

• Why using l2 metric instead of cosine similarity when doing the verification ?
• When I use cosine similairty for verification using your pretrained model (IRSE50 / mobilefacenet both), its performance even worse than VGGFaceNet (trained by simple soft-max). Is this due to cosine similarity ?
• About preprocess: 1) bbox using face detector - 2) plus margin - 3) resize to 112,112 - -4) ToTensor (divide by 255) - 5) Normalize (0.5,0.5,0.5) -> -> this right ?

Error downloading object: data/facebank/facebank.pth (12f2be5): Smudge error: Error downloading data/facebank/facebank.pth (12f2be55177b222cedc8853565bffddfa1343f5b64fd516ea4f87924210eeb7d): batch response: This repository is over its data quota. Account responsible for LFS bandwidth should purchase more data packs to restore access.

git clone then shows error: This repository is over its data quota. Account responsible for LFS bandwidth should purchase more data packs to restore access.

Hi ...,
which IDE are you using?
Best regards,
PeterPham

I am successfully trained the model with my own dataset. now I want to evaluate it and find accuracy?

After following the steps as outlined while trying to train a custom dataset, I got the error shown below:

File "./create-dataset/align_dataset_mtcnn.py", line 160, in
main(parse_arguments(sys.argv[1:]))
File "./create-dataset/align_dataset_mtcnn.py", line 56, in main
pnet, rnet, onet = align.detect_face.create_mtcnn(sess, None)
File "/home/ezichi/pytorch_awesome/create-dataset/align/detect_face.py", line 283, in create_mtcnn
pnet.load(os.path.join(model_path, 'det1.npy'), sess)
File "/home/ezichi/pytorch_awesome/create-dataset/align/detect_face.py", line 85, in load
data_dict = np.load(data_path, encoding='latin1').item() #pylint: disable=no-member
File "/home/ezichi/pytorch_awesome/pytorch_awesome/lib/python3.8/site-packages/numpy/lib/npyio.py", line 430, in load
return format.read_array(fid, allow_pickle=allow_pickle,
File "/home/ezichi/pytorch_awesome/pytorch_awesome/lib/python3.8/site-packages/numpy/lib/format.py", line 742, in read_array
raise ValueError("Object arrays cannot be loaded when "
ValueError: Object arrays cannot be loaded when allow_pickle=False.

How can I resolve it?

This file is not available anymore. Could you please upload it somewhere?

hi!

We are training about 4 million images in a huge dataset.
The default training value is insufficient for performance.
I want to add more epochs

thanks!

I am facing the following error. I have tried to update the path of the facebank.pth in the utils.py file. Can you suggest any `solution??

arcface loaded
{'data_path': PosixPath('/home/intisar/Documents/arcface/Face-Recognition-master/data/facebank'), 'work_path': PosixPath('work_space'), 'model_path': PosixPath('work_space/models'), 'log_path': PosixPath('work_space/log'), 'save_path': PosixPath('work_space/save'), 'input_size': [112, 112], 'embedding_size': 512, 'use_mobilfacenet': False, 'facebank_path': PosixPath('/home/intisar/Documents/arcface/Face-Recognition-master/data/facebank/facebank'), 'net_depth': 50, 'drop_ratio': 0.6, 'net_mode': 'ir_se', 'device': device(type='cuda', index=0), 'test_transform': Compose(
ToTensor()
Normalize(mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5])
), 'data_mode': 'emore', 'vgg_folder': PosixPath('/home/intisar/Documents/arcface/Face-Recognition-master/data/facebank/faces_vgg_112x112'), 'ms1m_folder': PosixPath('/home/intisar/Documents/arcface/Face-Recognition-master/data/facebank/faces_ms1m_112x112'), 'emore_folder': PosixPath('/home/intisar/Documents/arcface/Face-Recognition-master/data/facebank/faces_emore'), 'batch_size': 100, 'threshold': 1.5, 'face_limit': 10, 'min_face_size': 35}
ir_se_50 model opened
learner loaded
Traceback (most recent call last):
File "app.py", line 5, in
from face_verify import faceRec
File "/home/intisar/Documents/arcface/Face-Recognition-master/face_verify.py", line 39, in
targets, names = load_facebank(conf)
File "/home/intisar/Documents/arcface/Face-Recognition-master/utils.py", line 71, in load_facebank
embeddings = torch.load('/home/intisar/Documents/arcface/Face-Recognition-master/data/facebank/facebank.pth')
File "/home/intisar/miniconda3/envs/arcface/lib/python3.7/site-packages/torch/serialization.py", line 585, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/home/intisar/miniconda3/envs/arcface/lib/python3.7/site-packages/torch/serialization.py", line 755, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, 'v'.

-Closed-