Giter Site home page Giter Site logo

tcnactionrecognition's People

Contributors

mikexu007 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar

tcnactionrecognition's Issues

Pre-Trained model

Hi,
Thanks for sharing the code.
Is that possible to share the pre-trained model on NTU-RGBD dataset ?

Thanks,

Jue

is this a bug?

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)

bug in source code

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

ORIGINAL

  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

Compatibility issue

hi

  1. i had this error in train.py line 176 : x.setflags(write=1)
    " ValueError: cannot set WRITEABLE flag to True of this array"
    Exactly what versions of libraries are you using??
  2. at file create_lmdb.py line 40
    "No such file : 'data_root+'Xy_train_%03d'%i+'.h5' '"
    thanx

cann't find the ".h5" file

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' '

visualize_filters.py

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

dont understand the process of MEAN SUBTRACTION

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

identify 'feat_dim'

Hi,I am now in Keras , and the variable' feat_dim' which I cant understand , could you describe it ? Thank you

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.