def __init__(self):
"""Initializes exp."""
super().__init__()
self.name = "NFE5632"
self.description = "Normalized face and eyes, two-stream network, fc 5632D"
self.fc_dimensions = 5632
self.weights = exp_utils.NFE5632_VGG16
self.base_model = BaseModel.get_base_model("VGGFace")
self.model = get_model("two_stream")
print(self.name)
print(self.description)
def __init__(self):
"""
Initializes exp.
"""
super().__init__()
self.name = "NE1536"
self.description = "Normalized eyes, fc 1536D, fcs trained from scratch"
self.weights = exp_utils.NE1536_VGG16
self.base_model = BaseModel.get_base_model("VGGFace")
self.model = get_model("eyes_fcscratch")
print(self.name)
print(self.description)
def __init__(self):
"""
Initialize exp.
"""
super().__init__()
self.name = "OF4096"
self.description = "Original face, fc 4096D, finetuned VGGFace except last fc"
self.weights = exp_utils.OF4096_VGG16
self.base_model = BaseModel.get_base_model("VGGFace")
self.model = get_model("face_finetune")
print(self.name)
print(self.description)
def __init__(self):
"""Initializes exp."""
super().__init__()
self.name = "NFEL5836"
self.description = "Normalized face, eyes and landmarks, two-stream + metadata network, fc 5836D"
self.fc_dimensions = 2918
self.weights = exp_utils.NFEL5836_VGG16
self.min_lndmk = exp_utils.NFEL5836_MIN_LNMDK
self.max_lndmk = exp_utils.NFEL5836_MAX_LNMDK
self.base_model = BaseModel.get_base_model("VGGFace")
self.model = get_model("two_stream")
print(self.name)
print(self.description)
def __init__(self):
"""Initializes experiment"""
super().__init__()
self.name = "NFL4300"
self.description = "Normalized face and landmarks, fc 4300D"
self.fc_dimensions = 4300
self.weights = exp_utils.NFL4300_VGG16
self.min_lndmk = exp_utils.NFL4300_MIN_LNMDK
self.max_lndmk = exp_utils.NFL4300_MAX_LNMDK
self.base_model = BaseModel.get_base_model("VGGFace")
self.model = get_model("face_fcscratch")
print(self.name)
print(self.description)
def __init__(self):
"""
Initializes exp.
"""
super().__init__()
self.name = "NF5632"
self.description = "Normalized face, fc 5632D, fcs trained from scratch"
self.fc_dimensions = 5632
self.weights = exp_utils.NF5632_VGG16
self.base_model = BaseModel.get_base_model("VGGFace")
self.model = get_model("face_fcscratch")
print(self.name)
print(self.description)