HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Add https://youtu.be/c-S5M36XWmg & https://youtu.be/fd6u1TW_AGY to docs (#17722)

Browse source 
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Muhammad Rizwan Munawar 2024-11-24 21:01:54 +05:00 • committed by GitHub
parent 29361e46d9
commit 10b0bbd847
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
2 changed files with 22 additions and 0 deletions
Download patch file Download diff file Expand all files Collapse all files

11
docs/en/datasets/pose/hand-keypoints.md
View file

@ -10,6 +10,17 @@ keywords: Hand KeyPoints, pose estimation, dataset, keypoints, MediaPipe, YOLO,
The hand-keypoints dataset contains 26,768 images of hands annotated with keypoints, making it suitable for training models like Ultralytics YOLO for pose estimation tasks. The annotations were generated using the Google MediaPipe library, ensuring high [accuracy](https://www.ultralytics.com/glossary/accuracy) and consistency, and the dataset is compatible [Ultralytics YOLO11](https://github.com/ultralytics/ultralytics) formats. The hand-keypoints dataset contains 26,768 images of hands annotated with keypoints, making it suitable for training models like Ultralytics YOLO for pose estimation tasks. The annotations were generated using the Google MediaPipe library, ensuring high [accuracy](https://www.ultralytics.com/glossary/accuracy) and consistency, and the dataset is compatible [Ultralytics YOLO11](https://github.com/ultralytics/ultralytics) formats.
<p align="center">
<br>
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/fd6u1TW_AGY"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>
</iframe>
<br>
<strong>Watch:</strong> Hand Keypoints Estimation with Ultralytics YOLO11 | Human Hand Pose Estimation Tutorial
</p>
## Hand Landmarks ## Hand Landmarks
![Hand Landmarks](https://github.com/ultralytics/docs/releases/download/0/hand_landmarks.jpg) ![Hand Landmarks](https://github.com/ultralytics/docs/releases/download/0/hand_landmarks.jpg)

11
docs/en/usage/simple-utilities.md
View file

@ -458,6 +458,17 @@ image_with_obb = ann.result()
#### Bounding Boxes Circle Annotation [Circle Label](https://docs.ultralytics.com/reference/utils/plotting/#ultralytics.utils.plotting.Annotator.circle_label) #### Bounding Boxes Circle Annotation [Circle Label](https://docs.ultralytics.com/reference/utils/plotting/#ultralytics.utils.plotting.Annotator.circle_label)
<p align="center">
<br>
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/c-S5M36XWmg"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>
</iframe>
<br>
<strong>Watch:</strong> In-Depth Guide to Text & Circle Annotations with Python Live Demos | Ultralytics Annotations 🚀
</p>
```python ```python
import cv2 import cv2