Not able to prepare the dataset shape correctly. about indrnn_pytorch

[Sunnydreamrain]

Hi,
First, as mentioned, you can always use your own data loader.
The shape of the dataset I prepared is (samples, time, joints, dimension), which should be something like (38086, 300, 50, 3). '300' means the length of the sequence, where the true length is indicated in the file lenname=datasets+'_len.npy'. '50' is the number of joints and '3' is the xyz dimensions.

It should also be able to be derived from the relevant code.

data_handle=np.load(dataname) line 23
dataset=data_handle[shufflevideoindex] line 79
sample=dataset[startid:startid+self.seq_len] line 86

[hiroshiperera]

Thanks alot for your answer.. I'm having few more questions. Sorry I'm still in the learning phase. when considers '50' the maximum number of joints in a given time frame is 25. But since it is a 3D shaped image, in total there are 75 (25x3) columns. In your example may I know why you took it as 50. Is it like (25x2), which means 50 joints are feeding to the network? Does 300 means 300 data rows are feeding to the network. Here I elaborate it in the following image in more details. Does 38086 means total number of rows taking as the sample size? Following image shows the .mat file of a particular person. So to make 38086, we would combine the time frames of multiple people and creating a single dataframe? In the following image there were 4450 rows. By combining more .mat files, I'm planning to make a large sample. Can you correct if I'm wrong.

[Sunnydreamrain]

Hi,

50 joints meaning two persons with each person having 25 joints.

[hiroshiperera]

Thanks alot :)

[hiroshiperera]

Hi, Is there any possibility to attach your dataname=datasets+'.npy'
labelname=datasets+'_label.npy'
lenname=datasets+'_len.npy'

files here? I really appreciate if it is possible. And also I'm not clear what the lenname array looks like. Kindly help

[Sunnydreamrain]

Hi,
The file is too large.
As I mentioned repeatedly, you don't have to use my data loader. You can just write one of your own according to you understanding.
datasets+'_len.npy' is used because the lengths of different samples are different.
datasets+'_label.npy' apparently are the labels.

[WangMuT]

Hi,
Thank you verymuch for sharing your knowledge.
I downloaded the NTU skeleton dataset and the files are in .skeleton format.
Did you convert that .skeleton files to np array inorder to make inputs ?
Thank you.

[Sunnydreamrain]

Hi, @WangMuT

Yes.