def __init__(self, device, head_name = cfg['HEAD_NAME'], NUM_CLASS = cfg['NUM_CLASS'], GPU_ID = cfg['GPU_ID'], EMBEDDING_SIZE = cfg['EMBEDDING_SIZE'], HEAD_RESUME_ROOT = cfg['HEAD_RESUME_ROOT']):
super().__init__()
HEAD_DICT = {'ArcFace': ArcFace(in_features = EMBEDDING_SIZE, out_features = NUM_CLASS, device_id = GPU_ID),
'CosFace': CosFace(in_features = EMBEDDING_SIZE, out_features = NUM_CLASS, device_id = GPU_ID),
'SphereFace': SphereFace(in_features = EMBEDDING_SIZE, out_features = NUM_CLASS, device_id = GPU_ID),
'Am_softmax': Am_softmax(in_features = EMBEDDING_SIZE, out_features = NUM_CLASS, device_id = GPU_ID)}
self.device = device
self.head = HEAD_DICT[head_name]
self.head.load_state_dict(torch.load(HEAD_RESUME_ROOT))
self.head = self.head.to(device)
BACKBONE = mobileface()
else:
raise NotImplementedError
print("=" * 60)
print(BACKBONE)
print("{} Backbone Generated".format(BACKBONE_NAME))
print("=" * 60)
if HEAD_NAME == 'ArcFace':
HEAD = ArcFace(in_features = EMBEDDING_SIZE, out_features = NUM_CLASS, device_id = GPU_ID)
elif HEAD_NAME == 'CosFace':
HEAD = CosFace(in_features = EMBEDDING_SIZE, out_features = NUM_CLASS, device_id = GPU_ID)
elif HEAD_NAME == 'SphereFace':
HEAD = SphereFace(in_features = EMBEDDING_SIZE, out_features = NUM_CLASS, device_id = GPU_ID)
elif HEAD_NAME == 'Am_softmax':
HEAD = Am_softmax(in_features = EMBEDDING_SIZE, out_features = NUM_CLASS, device_id = GPU_ID)
elif HEAD_NAME == 'Softmax':
HEAD = Softmax(in_features = EMBEDDING_SIZE, out_features = NUM_CLASS, device_id = GPU_ID)
else:
raise NotImplementedError
print("=" * 60)
print(HEAD)
print("{} Head Generated".format(HEAD_NAME))
print("=" * 60)
if LOSS_NAME == 'Focal':
LOSS = FocalLoss()
elif LOSS_NAME == 'Softmax':
LOSS = nn.CrossEntropyLoss()
else:
raise NotImplementedError
}
BACKBONE = BACKBONE_DICT[BACKBONE_NAME]
print("=" * 60)
print(BACKBONE)
print("{} Backbone Generated".format(BACKBONE_NAME))
print("=" * 60)
HEAD_DICT = {
'ArcFace':
ArcFace(in_features=EMBEDDING_SIZE, out_features=NUM_CLASS),
'CosFace':
CosFace(in_features=EMBEDDING_SIZE, out_features=NUM_CLASS),
'SphereFace':
SphereFace(in_features=EMBEDDING_SIZE, out_features=NUM_CLASS),
'Am_softmax':
Am_softmax(in_features=EMBEDDING_SIZE, out_features=NUM_CLASS)
}
HEAD = HEAD_DICT[HEAD_NAME]
print("=" * 60)
print(HEAD)
print("{} Head Generated".format(HEAD_NAME))
print("=" * 60)
LOSS_DICT = {'Focal': FocalLoss(), 'Softmax': nn.CrossEntropyLoss()}
LOSS = LOSS_DICT[LOSS_NAME]
print("=" * 60)
print(LOSS)
print("{} Loss Generated".format(LOSS_NAME))
print("=" * 60)
if BACKBONE_NAME.find("IR") >= 0: