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View Code? Open in Web Editor NEWSkeleton based action recognition models with TCN variants for learning interpretable representation.
Skeleton based action recognition models with TCN variants for learning interpretable representation.
Hi,
Thanks for sharing the code.
Is that possible to share the pre-trained model on NTU-RGBD dataset ?
Thanks,
Jue
Hi, could you also upload the file
/home-2/[email protected]/data/nturgbd/samples_with_missing_skeletons.txt
This file is missing and not sure how to get it
Very good project!!!
I may find a little bug..
In
TCNActionRecognition/updates/train.py
line 157 : X = np.zeros((batch_size,max_len,feat_dim))
I think you mean is:
X = np.zeros((batch_size,max_len,feat_dim,1))
because in line 180:X[batch_count] = x.reshape(max_len,feat_dim,1)
Hi,
I replaced the update files with other ones. After running the train.Py I received the below error:
File "/mnt/homedata/ss/CodeProject/TCNActionRecognition/train.py", line 183, in nturgbd_train_datagen
X[batch_count] = x.reshape(max_len,feat_dim,1)
ValueError: could not broadcast input array from shape (300,150,1) into shape (300,150)
which with remove the paramet of 1 from reshape it resolved
X[batch_count] = x.reshape(max_len,feat_dim)
but now I have this error:
2018-04-16 10:34:10.496385: F ./tensorflow/core/util/mkl_util.h:1287] Non-OK-status: Status(error::Code::INVALID_ARGUMENT, "Unsupported data format") status: Invalid argument: Unsupported data format
I would be grateful if you guide me.
Best
hi
x.setflags(write=1)
Hi,
Thanks for sharing the code.
Im getting the following error. May I know where I can download this file?
No such file : 'data_root+'Xy_train_%03d'%i+'.h5' '
Im getting the following error. May I know where I can download this file?
No such file or directory: '/home/tk/dev/data/nturgbd/samples_with_missing_skeletons.txt'
Hi,
I used the updated files and could train the data using train.py but I want use visualize_filters.py which there are several error (especially in a_conv1_filter dimension)due to it is seems this class is not compatible with the updated classes. is it possible to share the updated version of this class too.
Thanks a lot
Hi, kim, i dont really understand the process of MEAN SUBTRACTION in the train.py, especially those codes:
## THIS IS MEAN SUBTRACTION
x = value.reshape((max_len,feat_dim))
nonzeros = np.where(np.array([np.sum(x[i])>0 for i in range(0,x.shape[0])])==False)[0]
# i dont understand what nonzeros stand for ?
if len(nonzeros) == 0:
last_time = 0
else:
last_time = nonzeros[0]
x.setflags(write=1)
x[:last_time] = x[:last_time] - train_x_mean
would you please describe how it work? Thanks
Hi,I am now in Keras , and the variable' feat_dim' which I cant understand , could you describe it ? Thank you
Hello,
Can you please guide me how can I access to predicted scores in your code?
Best
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