Semantic Terrain Classification for Off-Road Autonomous Driving 代码学习 网络结构

Semantic Terrain Classification for Off-Road Autonomous Driving 代码学习 网络结构
bevnet网络结构
train_funcs = {
'default': train_fixture.train_single,
}

训练函数
nets = {
name: spec['net'] for name, spec in ret.items()
}
net_opts = {
name: spec['opt'] for name, spec in ret.items() if spec['opt'] is not None
}
#网络
train_funcs[g.model_variant](nets, net_opts, g)

具体的train_single函数
def train_single(nets, net_o

Semantic Terrain Classification for Off-Road Autonomous Driving 代码学习 网络结构最先出现在Python成神之路。