Comments (7)
Hi,
Thanks for using the code.
Yes, you are correct, the refinement is disabled in the code. You should uncomment the string with the location.
Also I updated the pretrained models with the refine networks. Please download again. You can find them here: Pretrained
from deep-prior-pp.
Hello @moberweger . Thanks for your works.
I'm also a bit confused about the refine net here. It seems to be a bit different with your paper. In your paper DeepPrior++, a plain network architecture is designed for refining hand localization, which is demonstrated in Figure 3 in the paper. However, in this code, a ScaleNet is used as comrefNet. If I'm not mistaken, ScaleNet has a multi-scale architecture and appears in your previous work deep-prior, and ScaleNet works during the second stage. Is there a second stage in deep-prior-pp? I think the pose is given out by ResNet directly, and ScaleNet is used before ResNet to refine the hand localization. I'm not sure about that and hope to hear your answer. Thanks a lot!
from deep-prior-pp.
Oh, I also read your previous code for deep-prior. And I find the ScaleNet is also used to refine the hand location. That is to say, in both codes, the joints location given out by PoseNet are not refined by a second stage?
from deep-prior-pp.
The ScaleNet is used for improved localization of the hand (comrefNet). The original DeepPrior paper had also a refinements stage for each hand joint location, but the code is not the the repo. As for comrefNet, the DeepPrior++ paper shows a plain architecture, which performs similar to the ScaleNet architecture for the case of hand localization. For the sake of simplicity, the DeepPrior++ repo uses the ScaleNet architecture that was introduced in the original repo.
from deep-prior-pp.
Hi @moberweger , Thank you very much for sharing your work. I also have the question about the refinement. Both deep-prior and deep-prior-pp are used for hand location refinement but hand joint refinement. The code for hand joint refinement is not published in this repo, is that right? Looking forward to your reply! Thank you again for your time.
from deep-prior-pp.
@xxxxxxxx-dl
yes you are right. only refinement for localization is in this repo, not for each joint.
from deep-prior-pp.
@moberweger Thanks a lot for your reply!
from deep-prior-pp.
Related Issues (20)
- the code be written in tensorflow HOT 2
- Estimate 3D hand pose in ASL Finger Spelling Dataset HOT 1
- Is there guide to install DepthSense SDK HOT 1
- Deep prior for RGB HOT 1
- use ICVLImporter and NYUImporter HOT 6
- reference point(center point) HOT 3
- The network for refining hand localizatoin HOT 1
- This is some woring with the code! HOT 2
- centers for custom dataset HOT 3
- I have a doubt about the hand detection algorithm. HOT 2
- Dataset issue HOT 1
- DHG-14/28 dataset center reference points
- About the joint refinement network? HOT 1
- Pretrained ICVL and NYU accuracy HOT 1
- about the openni2 and kinect HOT 1
- can it be trained without use icvl or nyu importer?
- can it be run without use icvl or nyu importer? HOT 5
- Could you provide Pretrain Model? HOT 1
- train/test split of the msra15 dataset HOT 5
- Could you provide more explanation about the input of the "RealtimeHandposePipeline" class HOT 1
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