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程博士这代码自己跑了没啊,模型搭建就有几个问题 1、经过data_processing_mpii和data_processing_core处理得到的label文件里面,head_pose是三维向量,所以model.py23行self.output 的输入是4096+3才对
2、 源码30行、31行 将self.convNet[4] 和self.convNet[9]的 stride=2替换为stride=1之后,self.convNet的输出是512x27x27,而self.FC 的输入却为51247,完全不对啊
The text was updated successfully, but these errors were encountered:
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程博士这代码自己跑了没啊,模型搭建就有几个问题
1、经过data_processing_mpii和data_processing_core处理得到的label文件里面,head_pose是三维向量,所以model.py23行self.output 的输入是4096+3才对
2、 源码30行、31行 将self.convNet[4] 和self.convNet[9]的 stride=2替换为stride=1之后,self.convNet的输出是512x27x27,而self.FC 的输入却为51247,完全不对啊
The text was updated successfully, but these errors were encountered: