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Hi,
I am getting the following error when call_sgnify() is called in the stage before the video is generated. All of the previous stages passed without errors. Please let me know how I can fix this.…
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not as much of an "issue" more of a "development question"
I tested the Max Air guitar
I can attest it is great the integration of hands.js you did from Google's MediaPipe in MaxMSP! Thank you f…
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@QuinnHe @alanvww I suggest to change **Learning** to **Learn** for consistency.
MOQN updated
2 months ago
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Hi! Thanks for you code.
I'm intersted in hand pose estimation, I try to use the ICVLImporter and NYUImporter " di = ICVLImporter(basepath)
Seq0 = di.loadSequence('train', ['0'], shuffle=Tru…
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Add the ability to load offline models, so that users can still run their projects with spotty Internet / from places of the world where access to online models is restricted, i.e. China.
See prior…
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Traceback (most recent call last):
File "/home/moziaijason/pycode/detection/pytorch-openpose-master/src/hand.py", line 89, in
canvas = util.draw_handpose(oriImg, peaks, True)
File "/home/m…
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Build out the first feature (tests then feature)
**User story**: User is able to move their hand in front of the webcam, to see the controller move on the screen.
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Hey when I ran mat_to_xml.py I got this error:
```
mona@Mona:~/code/handpose/deeptraining_hands$ python mat_to_xml.py
successfully converted {}-labels from mat to pascal-xml
Traceback (most rec…
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Currently the performance of the application is borderline -- if we do a bit more work per inference, we'll definitely start to slow down some more limited devices.
First we have to profile to unde…