Commit ca7127d5 authored by narugo1992's avatar narugo1992
Browse files

dev(narugo): try fix README.md

parent 0893fb09

README.md

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@@ -71,13 +71,17 @@ print(lpips_clustering(images)) # -1 means noises, the same as that in sklearn 


Currently, object detection is supported for anime heads and person, as shown below



* Face Detection



![face detection](https://github.com/deepghs/imgutils/blob/gh-pages/main/_images/face_detect_demo.plot.py.svg)



* Head Detection



![head detection](https://github.com/deepghs/imgutils/blob/gh-pages/main/_images/head_detect.plot.py.svg)

![head detection](https://github.com/deepghs/imgutils/blob/gh-pages/main/_images/head_detect_demo.plot.py.svg)



* Person Detection



![person detection](https://github.com/deepghs/imgutils/blob/gh-pages/main/_images/person_detect.plot.py.svg)

![person detection](https://github.com/deepghs/imgutils/blob/gh-pages/main/_images/person_detect_demo.plot.py.svg)



Based on practical tests, head detection currently has a very stable performance and can be used for automation tasks.

However, person detection is still being further iterated and will focus on enhancing detection capabilities for
@@ -88,7 +92,7 @@ artistic illustrations in the future. 
Anime images can be converted to line drawings using the model provided

by [patrickvonplaten/controlnet_aux](https://github.com/patrickvonplaten/controlnet_aux), as shown below.



![edge example](https://github.com/deepghs/imgutils/blob/gh-pages/main/_images/edge.plot.py.svg)

![edge example](https://github.com/deepghs/imgutils/blob/gh-pages/main/_images/edge_demo.plot.py.svg)



It is worth noting that the `lineart` model may consume more computational resources, while `canny` is the fastest but

has average effect. Therefore, `lineart_anime` may be the most balanced choice in most cases.