Comments (1)
Hi,
The com parameter is the center of the hand (metacarpophalangeal joint). The center joint position as you mention is passed for debug purpose. What you have to do to follow the pipeline of the paper is to pass refineNet
to the constructor of the Importer, and then pass docom=True
to the loadSequence
function.
docom=True
calculates the center of mass, and the refineNet
parameter (string with path to saved refinement network) calculates the refined location of the hand.
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
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- 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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from deep-prior-pp.