dev(hansbug): use image in repo (364fae47) · Commits · git-mirror / Imgutils

README.md

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		@@ -73,11 +73,11 @@ Currently, object detection is supported for anime faces and person, as shown be

		* Face Detection

		![face detection](https://deepghs.github.io/imgutils/main/_images/face_detect.dat.svg)
		![face detection](https://github.com/deepghs/imgutils/blob/gh-pages/main/_images/face_detect.dat.svg)

		* Person Detection

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

		Based on practical tests, face 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 +88,7 @@ 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://deepghs.github.io/imgutils/main/_images/edge.dat.svg)
		![edge example](https://github.com/deepghs/imgutils/blob/gh-pages/main/_images/edge.dat.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.