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Two Stream CNN implemented in Keras using in skeleton-based action recognition with dataset NTU RGB+D

Python 100.00%
keras action-recognition skeleton-data

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two-stream-cnn's Issues

您好,请问一下,倘若是送入两组处理好的图片进这个双流CNN,应该怎么修改代码呢?

我之前利用keras自带的Imagegenerator函数,想用Imagegenerator.flow_from_directory()来处理两组图像,然后使用model.fit.generator()函数对模型进行拟合,但是由于keras自的.fit.generator()函数固定只能输入一个generator(尝试改了源代码但是一直报错),所以未能成功。很幸运找到了这个项目,想在您的基础上修改定义一个(训练和测试分别都)送入两组图片的函数,看您用train_on_batch()可以实现多输入,我想请问一下您应该怎么根据我的实际情况来定义自己的data_generator呢?(万分感激!)

dataset

I would like to retrain your model on my dataset and check the results. May i know how can i train on my own dataset. what would be the format of the dataset

Data normalization and BN layer

Hi, thx for your outstanding work!
I notice that there is no data normalization in your code
and there is no bn layers, too.
Could you explain it?
:)

attention mechanism

Hi ,I notice that you introduce attention mechanism to your network, could you send the attention to me ? I want to introduce attention to my network too, I want to learn from your code. Thank you for your help. @XiaoCode-er

Multi-person Question

Thanks for your amazing work!
Here comes one question: in NTU, some videos contain only one person, but some may contain two or more persons. So I am confused about how you solve this.
I read your code, which shows you only solve two-person situation. Am I right?

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