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A quick and lazy glimpse into the code gave me the impression that the meat of the different algorithms is stuffed into nipype's `_run_interface` method implementations. Then, the different components…
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Thanks for your nice work, the paper is a nice read.
I do not understand this: "We use S15678 as our initial population". **What is S15678?**
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The MS COCO is open source where the CMU Panoptic is for research or non-profit use only
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I am running DOPE in the docker container with only the soup can active in the weights in the config_pose.yaml. The usb camera is a logitech c270 and it has been calibrated following the guide.
The…
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@ahmed-shariff Added support for 3d poses on this code base:
https://github.com/ahmed-shariff/hand_tracking/commit/310fb95caa5f0b9198fdd0157d1ed4ef522069ae
However, using this `hand_tracker.py`
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Thanks for your great work!
I have questions regarding the evaluation speed of each step.
How long does the used feature extractor and especially the hypothesis generator take for the calculation?
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**Linux- Ubuntu 16.04.6 LTS with Anaconda Env and DeepLabCut version 2.1.6.2**
Please complete the following information about your system:
OS: Linux
DeepLabCut Version 2.1.6.2
Browser: chrome…
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Hi , first of all great work. I was wondering if it could be extended to `HrNET` as it is supposed to highly accurate ? Here is an implementation of it . I think it is possible , to dump the `json` fi…
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klipper uses standard trapezoid acceleration as far I know. I never seen a firmware with s-curve like acceleration and I think it would work better for printers
Some video from https://www.youtube.co…
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Thank you for your work firstly, I am curious about why you choose L2 as criteria in "Soft Localization learning loss" instead of L1?
What good properties of L2 do you consider?
Lilyo updated
4 years ago