nslt
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Neural Sign Language Translation (CVPR'18)
Here is the command I run: `python -m nmt --src=sign --tgt=de --train_prefix=../Data/phoenix2014T.train --dev_prefix=../Data/phoenix2014T.dev --test_prefix=../Data/phoenix2014T.test --out_dir=../test_out/ --vocab_prefix=../Data/phoenix2014T.vocab --source_reverse=True --num_units=1000 --num_layers=4 --num_train_steps=150000 --residual=True --attention=luong --base_gpu=0 --unit_type=gru` Here is the error I get,...
The DropBox link to download the file under the BestModel directory is no longer working. @neccam Could you please update the link?
Excuse me,I am a newer of this field. About this network architecture, Can I want to use it from English signs to English? or it is only used from German...
Hi, Thanks for the great work! Would it please be possible to share a trained model that we can run evaluation on? I do not have the resources to train...
Hi, I'm trying to use the best model which is downloaded from the dropbox link. I'm trying to do inference only without any training. After downloading and unzipping the files,...
Hi all, I am trying to reproduce the result this repo and also newer repo here: https://github.com/neccam/slt I just wonder how data pre-processed ? when I download from 1): https://www-i6.informatik.rwth-aachen.de/~koller/RWTH-PHOENIX-2014-T/...
while training the model using this command: python -m nmt --src=gloss --tgt=de --train_prefix=../Data/phoenix2014T.train --dev_prefix=../Data/phoenix2014T.dev --test_prefix=../Data/phoenix2014T.test --out_dir=/home/ml2/nslt-master/nslt/model --vocab_prefix=../Data/phoenix2014T.vocab --source_reverse=True --num_units=1000 --num_layers=4 --num_train_steps=150000 --residual=True --attention=luong --base_gpu=0 --unit_type=gru The error below was raised....
Thank you for your contribution! I just changed the images in the dataset. Put the sign language's picture into openpose to get the skeleton map, and the file name remains...
When I try to execute the code always come this error: ``` dynamic_seq2seq/decoder/attention/multi_rnn_cell/cell_3/gru_cell/gates/kernel:0, (2000, 2000), /device:GPU:1 dynamic_seq2seq/decoder/attention/multi_rnn_cell/cell_3/gru_cell/gates/bias:0, (2000,), /device:GPU:1 dynamic_seq2seq/decoder/attention/multi_rnn_cell/cell_3/gru_cell/candidate/kernel:0, (2000, 1000), /device:GPU:1 dynamic_seq2seq/decoder/attention/multi_rnn_cell/cell_3/gru_cell/candidate/bias:0, (1000,), /device:GPU:1 dynamic_seq2seq/decoder/attention/attention_layer/kernel:0, (2000, 1000), /device:GPU:1...
Awesome repo . For our college project i am using this can you share the images after resizing also (like drive link ).