youjiangxu / seqvlad-pytorch Goto Github PK
View Code? Open in Web Editor NEWThe implementation of Sequential VLAD in Pytorch
License: BSD 2-Clause "Simplified" License
The implementation of Sequential VLAD in Pytorch
License: BSD 2-Clause "Simplified" License
Hi,
when I ran your code, I ran into the following problem:
File "/home/lj2017/seqvlad-pytorch/dataset.py", line 180, in getitem
return self.get(record, segment_indices)
File "/home/lj2017/seqvlad-pytorch/dataset.py", line 188, in get
seg_imgs = self._load_image(record.path, p)
File "/home/lj2017/seqvlad-pytorch/dataset.py", line 64, in _load_image
mclient = mc.MemcachedClient.GetInstance(self.server_list_config_file, self.client_config_file)
NameError: name 'mc' is not defined
But, at the beginning of the file (dataset.py) , there are
#sys.path.insert(0, "/mnt/lustre/share/pymc")
#import mc
so, what is 'mc'? thankyou.
Hi, glad to meet you, my question is how many segments do you use during training process, 3 segments or 7 segments, thank you very much.
In the code, your model choices include ['seqvlad', 'bidirect', 'unshare_bidirect'], which is the choice you made in the experiment to obtain the best accuracy. Thank you very much.
How did you fuse the iDT based scores with the scores of your method, thank you so much. Looking forward to your answer.
师兄,您好!
我是河北工业大学16级计算机研究生,也在天津。有意向读您导师韩亚洪教授的博士,希望师兄能够给些建议。
本人qq邮箱
[email protected]
Thank you so much for your kind help. My question is do you have the test file before renamed by AllVideos_renamed.txt? This is very important for our experiment, thank you a lot for your kind help. Thank you again for all the helps you have provided, we deeply appreciate it.
Reference:
https://github.com/ZealACMer/seqvlad-pytorch/tree/master/data/hmdb51_splits
I notice that you use a large batchsize=64, so I want to know more details about the GPUs you use.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.