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Yolov5 with Human pose Estimator model #9113

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moahaimen opened this issue Aug 23, 2022 · 4 comments
Closed
1 task done

Yolov5 with Human pose Estimator model #9113

moahaimen opened this issue Aug 23, 2022 · 4 comments
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question Further information is requested Stale Stale and schedule for closing soon

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@moahaimen
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hi @glenn-jocher
I need to combine Yolov5 with a human estimator model to recognize a certain human position for carrying a gun
and give an alarm for it
I need to understand how to combine the pose model with yolo
please if you have an example or any idea or explanation i would appreciate that
thank you

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@moahaimen moahaimen added the question Further information is requested label Aug 23, 2022
@glenn-jocher
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@moahaimen see https://github.com/TexasInstruments/edgeai-yolov5

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github-actions bot commented Sep 24, 2022

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

Access additional YOLOv5 🚀 resources:

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Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!

@github-actions github-actions bot added the Stale Stale and schedule for closing soon label Sep 24, 2022
@github-actions github-actions bot closed this as not planned Won't fix, can't repro, duplicate, stale Oct 4, 2022
@ryouchinsa
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ryouchinsa commented Dec 29, 2022

We improved the JSON2YOLO script so that it converts the COCO keypoints format to YOLOv8 pose format.
ultralytics/JSON2YOLO#45

RectLabel is an offline image annotation tool for object detection and segmentation.
Although this is not an open source program, with RectLabel, you can label polygons and keypoints in the YOLO format.

class_index center_x center_y width height x1 y1 v1 x2 y2 v2 x3 y3 v3 ...
0 0.545230 0.616880 0.298794 0.766239 0.522073 0.309332 2 0.540170 0.293193 2 0.499589 0.296503 2 ...

A visibility flag v defined as v=0: not labeled, v=1: labeled but not visible, and v=2: labeled and visible.
https://cocodataset.org/#format-data

yolo_polygon

@glenn-jocher
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@ryouchinsa that's great to hear! Thank you for sharing the information. If you have any questions or need further assistance related to the YOLOv5 repo, feel free to ask. Good luck with your project!

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