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TypeError: 'float' object is not subscriptable #25
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Thank you very much.But I have one more question about training Onet. Do you have the traingImageList.txt of CeleBA or do you know how to get it? The label file I downloaded from the Internet does not meet the requirements,it just has 11 elements each line.But we need 15 elements each line.
Thanks again!
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18281575602
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18281575602@163.com
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签名由网易邮箱大师定制
On 3/11/2019 18:03,RickyZ92<notifications@github.com> wrote:
try
show1=str(accuracy.data.tolist())
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你的11行的是只有特征的文件 还有一个带4个参数的文件 把两个文件合合并在一起就行了。 |
那麻烦你把合成的celeba的也给我一份吧,我想LFW和celeba两个都试试。
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18281575602
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18281575602@163.com
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签名由网易邮箱大师定制
On 3/12/2019 13:51,RickyZ92<notifications@github.com> wrote:
你的11行的是只有特征的文件 还有一个带4个参数的文件 把两个文件合合并在一起就行了。
我觉得作者在landmark部分实际用的是这个 (因为我之前训练过这个模型,从用法上来看比较像 但我自己没有试 不过我也比较蒙 因为这个数据集是lfw的。。并不是celeba的。。。)
如果你需要合成后的celeba文件 我可以直接给你
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File "E:\DeepLearning\demo\DFace\dface\train_net\train.py", line 87, in train_pnet
show1 = accuracy.data.tolist()[0]
TypeError: 'float' object is not subscriptable
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