CMU-Perceptual-Computing-Lab / openpose_train

Training repository for OpenPose
https://github.com/CMU-Perceptual-Computing-Lab/openpose
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Dead link to experimental model #61

Open davidpagnon opened 10 months ago

davidpagnon commented 10 months ago

Dear OpenPose team,

I use the OpenPose experimental models for my Pose2Sim toolbox, and it seems like the links to caffe models are dead. Example with this link.

Actually, the whole https://posefs1.perception.cs.cmu.edu/ website is inaccessible.

Would you be able to put it back online?

JohannesTimter commented 10 months ago

Yes please!

GiuseppeLongo25 commented 10 months ago

Same problem for me. Link is not avaible. On github there are several models but MODEL 25B it's not online. Any suggestions?

Blackwoj commented 9 months ago

I found some models here: https://github.com/CMU-Perceptual-Computing-Lab/openpose/issues/1602 On google drive, I don't know if it's the same model, but there is something called body_25

GiuseppeLongo25 commented 9 months ago

I found some models here: CMU-Perceptual-Computing-Lab/openpose#1602 On google drive, I don't know if it's the same model, but there is something called body_25

Yes in that conversation there's something but some models does not work. Now I'm working with only 3 models

davidpagnon commented 9 months ago

What do you mean by "they don't work"? What is not working? And which ones are not working?

GiuseppeLongo25 commented 9 months ago

On google drive there are several models. Also following folder instrunction in which insert models some of them does not run. When you write the openpose command with the specified model it does not run. The only model that works are the following one:

davidpagnon commented 9 months ago

Did the experimental models use to work with you? I should try it and keep my users informed if it does not work, but I won't have time for it this week.

GiuseppeLongo25 commented 9 months ago

Did the experimental models use to work with you? I should try it and keep my users informed if it does not work, but I won't have time for it this week.

Yes. I'm using model 25 and it's working properly.

seekFire commented 2 months ago

So how to obtain models in experimental_models? Only model_25 can be available?

davidpagnon commented 2 months ago

@seekFire I can send them to you if you want, drop me an email at dp2032@bath.ac.uk. Be aware though, that OpenPose is getting outdated and you'd have better performances with MMPose or RTMlib.

seekFire commented 2 months ago

@davidpagnon Thank you very much! Yes, I know the performance of Openpose is no longer advanced, so I wonder whether all openpose model are bottom-up? Including wholebody135 and body+foot25B?

davidpagnon commented 2 months ago

If I remember well, yes they are all bottom-up. I just sent you a link, can you tell me if you got it?

seekFire commented 2 months ago

@davidpagnon Yes, the link is OK! Thank you very much! Because my job focuses on deployment rather than training, I usually find the trained weight file directly. If all models in OpenPose are bottom-up, it has unique worth for me, especially wholebody135 and body+foot25B. You know the output of most pose model (either top-down or bottom-up) is coco format(only 17 points). I have found some wholebody pose model(for example based on COCO-WholeBody, 135 points), all of them are top-down, you know the inference speed of these models depend on the number of people in the scene. So a bottom-up whole-body model is valuable.

davidpagnon commented 2 months ago

Do you need bottom-up models because you need to detect a lot of people in the scene? Just saying, RTMPose is faster and more accurate, and supports HALPE26: https://github.com/open-mmlab/mmpose/tree/main/projects/rtmpose#26-keypoints image

And RTMLib is a lightweight package that is very easy to install, and I contributed to have it support body+feet estimation. It may be worth trying! Don't hesitate to tell be how it goes :) https://github.com/Tau-J/rtmlib