def __init__(self,const):
super(ConcatSVM,self).__init__()
self.const = copy.deepcopy(const)
self.mlp = pytorch_layers.create_mlp(self.const.mlp_const)
self.bn = nn.BatchNorm1d(self.const.mlp_const['in_dim'])
print('2D-SVM')
self.w = nn.Parameter(torch.FloatTensor([0,0,0]))
def __init__(self, const):
super(ConcatSVM, self).__init__()
self.const = copy.deepcopy(const)
self.mlp = pytorch_layers.create_mlp(self.const.mlp_const)
self.bn = nn.BatchNorm1d(6)
def __init__(self, const):
super(VerbGivenBoxesAndObjectLabel, self).__init__()
self.const = copy.deepcopy(const)
self.mlp = pytorch_layers.create_mlp(self.const.mlp_const)
def __init__(self,const):
super(VerbGivenObjectAppearance,self).__init__()
self.const = copy.deepcopy(const)
self.mlp = pytorch_layers.create_mlp(self.const.mlp_const)
def __init__(self, const):
super(VerbGivenHumanPose, self).__init__()
self.const = copy.deepcopy(const)
self.mlp = pytorch_layers.create_mlp(self.const.mlp_const)
