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FluidNet

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数据

您好，目前使用这个代码框架训练的loss曲线已收敛，但预测的精度还是不高，目前还没找到原因，您能否提供一个数据集实例，想排除一下数据集的原因，期待您的回复，谢谢！！！

Data set problem

May I ask if the solid boundary particles (container boundary virtual particles) also need to be learned together with fluid particles in training?

Hi,Dr. Du,In the file datasets_loop.py, there is a line of code log_path = os.path.join(root_path, 'log.csv'), where what is included in the log .csv, can you give a reference log .csv file? look forward to your answers，Thank you very much!

模型中间层问题

       请教一个问题，为什么训练的时候不需要考虑 pos = vel * data[5][0] + data[0][0][:, :3]更新位置？
       不考虑的话模型预测往后时间帧的位置的能力会不会没有学习到？
       [pred] = model.train(sess, data, onlypred=True)
        vel = pred[0]
        pos = vel * data[5][0] + data[0][0][:, :3]

code issue

After the last layer outputs the 3D velocity field of each fluid particle, how is the position integration of each particle achieved? How is this represented in the code?

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