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Two Stream CNN implemented in Keras using in skeleton-based action recognition with dataset NTU RGB+D
good work!
would you mind sharing your pre-trained model. I would like to test the result, my model not work well as you metioned
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!)
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
Hi can you send me the cs_trn.hdf5 and cs_test.hdf5 files
my email [email protected]
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?
:)
@XiaoCode-er
Hello, thanks for your outstanding work!
It will be better to release you /*.hdf5 file in you code.
Thank you very much!
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
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?
Can you please share with us the prediction script?
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