Git Product home page Git Product logo

Comments (19)

Arthur151 avatar Arthur151 commented on May 30, 2024 1

Thanks for your interests!
The paper is still under submission.
The training code will be released when the paper is accepted.

from romp.

Arthur151 avatar Arthur151 commented on May 30, 2024 1

Really appreciate your attension! Sorry, I don't know the exact data. But I believe it won't be too long.
I will try my best to get the code released as soon as possible.

from romp.

nicolasugrinovic avatar nicolasugrinovic commented on May 30, 2024

Great thank you.
I really like that your approach is bottom-up and specially the idea of repulsion fields of the body centers!
Hope it is released soon. Do you know the date of the acceptance announcement?

from romp.

Arthur151 avatar Arthur151 commented on May 30, 2024

We are really sorry for the delayed release of training code. ROMP just gets in ICCV 2021. I am preparing the training code (on fire). There are multiple version of ROMP training code. I will release the code for fine-tunning first in convenience of a fast try. My appology.

from romp.

leviome avatar leviome commented on May 30, 2024

We are really sorry for the delayed release of training code. ROMP just gets in ICCV 2021. I am preparing the training code (on fire). There are multiple version of ROMP training code. I will release the code for fine-tunning first in convenience of a fast try. My appology.

Awesome!

from romp.

Arthur151 avatar Arthur151 commented on May 30, 2024

The training code has been released, along with almost all evaluation protocols~

from romp.

dluvizon avatar dluvizon commented on May 30, 2024

Hi @Arthur151 ,

Congratulations for this awesome work and thank you so much for sharing this code!
Concerning training, I noticed a required file "datasets/h36m/h36m_train.txt" that I was not able to find yet.
I checked the source code, ZIP files in the releases and Google Drive, without success. So I suppose this file should be in the original H36M dataset, right?
Otherwise, can it be generated just considering all frames from the training subjects?

Thanks.

from romp.

dluvizon avatar dluvizon commented on May 30, 2024

As an additional comment: I just noticed that the file "datasets/mpii/annot/train.json" is also required for training. Maybe I missed something in the installation process?

from romp.

Arthur151 avatar Arthur151 commented on May 30, 2024

Sorry, my mistake. I have uploaded these files to the google drive.
Please be aware to change this line.

Don't hestitate to contact me if there are any issues. I will fix them as soon as possible.

from romp.

liangwx avatar liangwx commented on May 30, 2024

@Arthur151 "datasets/h36m/h36m_train.txt" still not exist by now, while the google drive is 404 error. And when I "python -m romp.lib.dataset.mpi_inf_3dhp", I find "dataset/mpi_inf_3dhp/S1/Seq1/annot.mat " is still needed, while your google drive share the different directory structure of mpi-inf-3dhp dataset. Please check it out.

from romp.

Arthur151 avatar Arthur151 commented on May 30, 2024

We have change the link to google drive.

from romp.

Arthur151 avatar Arthur151 commented on May 30, 2024

Please be aware that this line will be processed if only you miss the annots.npz file. This function is just used to prepare the annots.npz.
You can download it from our google drive.

from romp.

Arthur151 avatar Arthur151 commented on May 30, 2024

@liangwx Anything else? Come on. 我能打十个。

from romp.

liangwx avatar liangwx commented on May 30, 2024

Yes hh, When I add the "datasets/h36m/h36m_train.txt", I run "python -m romp.lib.dataset.h36m" again, but get error like this:
Exception has occurred: TypeError
Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/home/zhaohan/Install/anaconda3/envs/romp-py37-cu111/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/home/zhaohan/Install/anaconda3/envs/romp-py37-cu111/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/zhaohan/Install/anaconda3/envs/romp-py37-cu111/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/zhaohan/wxl/ROMP/romp/lib/dataset/image_base.py", line 342, in getitem
return self.get_item_single_frame(index)
File "/home/zhaohan/wxl/ROMP/romp/lib/dataset/image_base.py", line 85, in get_item_single_frame
info = self.get_image_info(index)
File "/home/zhaohan/wxl/ROMP/romp/lib/dataset/h36m.py", line 86, in get_image_info
image = cv2.imread(imgpath)[:,:,::-1]#把BGR转成RGB
TypeError: 'NoneType' object is not subscriptable
File "/home/zhaohan/wxl/ROMP/romp/lib/dataset/image_base.py", line 492, in test_dataset
for _,r in enumerate(dataloader):
File "/home/zhaohan/wxl/ROMP/romp/lib/dataset/h36m.py", line 123, in
test_dataset(h36m, with_3d=True,with_smpl=True,)

from romp.

Arthur151 avatar Arthur151 commented on May 30, 2024

This error is pretty obvious. You can try to print the imgpath in image = cv2.imread(imgpath)[:,:,::-1].
Please make sure the imgpath refer to the correct path.
I guess that you didn't put the h36m dataset at the right place. Or the name of the image folder is wrong.
To correct this, please check this line and this line

from romp.

Arthur151 avatar Arthur151 commented on May 30, 2024

@liangwx Come on. I am on fire.

from romp.

liangwx avatar liangwx commented on May 30, 2024

@Arthur151 Sorry to reply so late, maybe you'd like to use Relative Path other than Absolute one in h36m_train.txt. And mayby naming the image files without "spacing" could be more compatible with my ubuntu envirenment.

from romp.

liangwx avatar liangwx commented on May 30, 2024

this line output this :
'/export/home/suny/dataset/h36m/images/S6_Smoking 1_3_49.jpg'

from romp.

Arthur151 avatar Arthur151 commented on May 30, 2024

I see. Thanks for the bug report. I have update the h36m_train.txt in google drive.
欢迎再次光临。

from romp.

Related Issues (20)

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.