Comments (4)
This type of issue is because I wasn't install the CUDNN in the CUDA-8.0. I was solved it by install cudnn 5.0. But after that I meet a issue about TypeError:
The Traceback was:
Process Process-3:
Traceback (most recent call last):
File "/home/ducky/anaconda3/envs/python27/lib/python2.7/multiprocessing/process.py", line 267, in _bootstrap
self.run()
File "/home/ducky/anaconda3/envs/python27/lib/python2.7/multiprocessing/process.py", line 114, in run
self._target(*self._args, **self._kwargs)
File "/home/ducky/Workspace/handpose/deep-prior-pp-master/src/util/realtimehandposepipeline.py", line 204, in threadConsumer
img, poseimg = self.show(frm['frame'], pose, frm['com3D'])
File "/home/ducky/Workspace/handpose/deep-prior-pp-master/src/util/realtimehandposepipeline.py", line 439, in show
comP = self.importer.joint3DToImg(rotatePoint3D(com3D, handpose[self.importer.crop_joint_idx], 0., 90., 0.))
File "/home/ducky/Workspace/handpose/deep-prior-pp-master/src/data/transformations.py", line 133, in rotatePoint3D
pp -= center
TypeError: Cannot cast ufunc subtract output from dtype('float64') to dtype('int64') with casting rule 'same_kind'
Warning: CoM ill-defined!
Warning: CoM ill-defined!
Warning: CoM ill-defined!
Warning: CoM ill-defined!
Warning: CoM ill-defined!
Process Process-2:
Traceback (most recent call last):
File "/home/ducky/anaconda3/envs/python27/lib/python2.7/multiprocessing/process.py", line 267, in _bootstrap
self.run()
File "/home/ducky/anaconda3/envs/python27/lib/python2.7/multiprocessing/process.py", line 114, in run
self._target(*self._args, **self._kwargs)
File "/home/ducky/Workspace/handpose/deep-prior-pp-master/src/util/realtimehandposepipeline.py", line 155, in threadProducer
ret, frame = device.getDepth()
File "/home/ducky/Workspace/handpose/deep-prior-pp-master/src/util/cameradevice.py", line 395, in getDepth
frame = self.importer.loadDepthMap(self.filenames[self.last_depth_num])
IndexError: list index out of range
from deep-prior-pp.
I solve the second issue by modify the rotatePoint3D a little bit to (pp -= center => pp = pp - center and ps -= center => ps = ps - center )
Why the pose is small and quite strange. I try to change the config to another but it not improve
from deep-prior-pp.
Without knowing in detail what you are up to, there are several things you can try: Press "h" to switch between left and right hand, press "-"/"+" to reduce crop size (HC-300 looks too large for me), press "t" to use tracking mode instead of center-of-mass detection.
from deep-prior-pp.
Thank you. It works great now.
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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from deep-prior-pp.