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View Code? Open in Web Editor NEWFusional approaches for temporal action localization in untrimmed videos
License: MIT License
Fusional approaches for temporal action localization in untrimmed videos
License: MIT License
Hi,
I was wondering when you would release the do_all.sh and test.sh file?
Hello,I used git clone --recursive https://github.com/skelemoa/tal-hmo
and I can't reproduce the paper.
The strange thing is how the code is the same with https://github.com/xlliu7/MUSES
I did not find any code that integrates with audio.
Is there a problem?
Looking forward to your reply
I am following the instructions https://github.com/skelemoa/tal-hmo to reproduce your paper. When I tried to extract the audio feature using python extractVGGishFeatures.py, I encountered the following error. Could you explain how to get the file “ video_info.csv”?.
Traceback (most recent call last):
File "/media/tianshu/DATA/tianshu/avfusion/extractVGGishFeatures.py", line 44, in
data = np.genfromtxt('video_info.csv', delimiter=',', dtype=str)
File "/home/tianshu/anaconda3/lib/python3.9/site-packages/numpy/lib/npyio.py", line 1793, in genfromtxt
fid = np.lib._datasource.open(fname, 'rt', encoding=encoding)
File "/home/tianshu/anaconda3/lib/python3.9/site-packages/numpy/lib/_datasource.py", line 193, in open
return ds.open(path, mode, encoding=encoding, newline=newline)
File "/home/tianshu/anaconda3/lib/python3.9/site-packages/numpy/lib/_datasource.py", line 533, in open
raise IOError("%s not found." % path)
OSError: video_info.csv not found.
hi! I want to train your model but I do not know the organization of the dataset.
could you please introduce it?
thanks!
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