Anime Face Detector

This is an anime face detector using mmdetection and mmpose.

(To avoid copyright issues, the above demo uses images generated by the TADNE model.)

The model detects near-frontal anime faces and predicts 28 landmark points.

The result of k-means clustering of landmarks detected in real images:

The mean images of real images belonging to each cluster:

Installation

pip install openmim
mim install mmcv-full
mim install mmdet
mim install mmpose

pip install anime-face-detector

This package is tested only on Ubuntu.

Usage

import cv2

from anime_face_detector import create_detector

detector = create_detector('yolov3')
image = cv2.imread('assets/input.jpg')
preds = detector(image)
print(preds[0])

{'bbox': array([2.2450244e+03, 1.5940223e+03, 2.4116030e+03, 1.7458063e+03,
        9.9987185e-01], dtype=float32),
 'keypoints': array([[2.2593938e+03, 1.6680436e+03, 9.3236601e-01],
        [2.2825300e+03, 1.7051841e+03, 8.7208068e-01],
        [2.3412151e+03, 1.7281011e+03, 1.0052248e+00],
        [2.3941377e+03, 1.6825046e+03, 5.9705663e-01],
        [2.4039426e+03, 1.6541921e+03, 8.7139702e-01],
        [2.2625220e+03, 1.6330233e+03, 9.7608268e-01],
        [2.2804077e+03, 1.6408495e+03, 1.0021354e+00],
        [2.2969380e+03, 1.6494972e+03, 9.7812974e-01],
        [2.3357908e+03, 1.6453258e+03, 9.8418534e-01],
        [2.3475276e+03, 1.6355408e+03, 9.5060223e-01],
        [2.3612463e+03, 1.6262626e+03, 9.0553057e-01],
        [2.2682278e+03, 1.6631940e+03, 9.5465249e-01],
        [2.2814783e+03, 1.6616484e+03, 9.0782022e-01],
        [2.2987590e+03, 1.6692812e+03, 9.0256405e-01],
        [2.2833625e+03, 1.6879142e+03, 8.0303693e-01],
        [2.2934949e+03, 1.6909009e+03, 8.9718056e-01],
        [2.3021218e+03, 1.6863715e+03, 9.3882143e-01],
        [2.3471826e+03, 1.6636573e+03, 9.5727938e-01],
        [2.3677822e+03, 1.6540554e+03, 9.4890594e-01],
        [2.3889211e+03, 1.6611255e+03, 9.5125675e-01],
        [2.3575544e+03, 1.6800433e+03, 8.5919142e-01],
        [2.3688926e+03, 1.6800665e+03, 8.3275074e-01],
        [2.3804905e+03, 1.6761322e+03, 8.4160626e-01],
        [2.3165366e+03, 1.6947096e+03, 9.1840971e-01],
        [2.3282458e+03, 1.7104808e+03, 8.8045174e-01],
        [2.3380054e+03, 1.7114034e+03, 8.8357794e-01],
        [2.3485500e+03, 1.7080273e+03, 8.6284375e-01],
        [2.3378748e+03, 1.7118135e+03, 9.7880816e-01]], dtype=float32)}

Pretrained models

Here are the pretrained models. (They will be automatically downloaded when you use them.)

Demo (using Gradio)

Run locally

pip install gradio
git clone https://github.com/hysts/anime-face-detector
cd anime-face-detector

python demo_gradio.py

Citation

If you find this repo useful for your research, please consider citing it:

@misc{anime-face-detector,
  author = {hysts},
  title = {Anime Face Detector},
  year = {2021},
  howpublished = {\url{https://github.com/hysts/anime-face-detector}}
}

ukaserge / anime-face-detector Goto Github PK