anime-face-detector 0.1.0

Anime face detection and facial landmark estimation in pure PyTorch

Anime Face Detector

This is an anime face detector with facial landmark estimation, implemented in plain PyTorch. The face detectors (Faster R-CNN and YOLOv3) and the landmark model (HRNetV2, 28 points) were originally trained with mmdetection and mmpose; since v0.1.0 this package runs them without any OpenMMLab runtime dependency.

(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 anime-face-detector

Requires Python 3.12 or later. PyTorch 2.2.0 or later and torchvision are installed as dependencies; if you need a specific CUDA build, install torch/torchvision first following the official instructions.

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

The pretrained weights are hosted on the Hugging Face Hub as safetensors files (faster-rcnn, yolov3, hrnetv2) and are downloaded automatically on first use. The original mm*-era .pth files remain available in the v0.0.1 release; anime-face-detector-convert converts such checkpoints (including self-trained ones) to safetensors.

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

License

The code in this repository is released under the MIT License (see LICENSE). The code under anime_face_detector/_vendor/ is derived from mmpose v0.29.0, mmdetection v2.28.2 and mmcv v1.7.0, which are licensed under the Apache License 2.0; see THIRD_PARTY_LICENSES.md for details.

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}}
}

Links

General

• https://github.com/open-mmlab/mmdetection
• https://github.com/open-mmlab/mmpose

Anime face detection

• https://github.com/zymk9/yolov5_anime
• https://github.com/qhgz2013/anime-face-detector
• https://github.com/cheese-roll/light-anime-face-detector
• https://github.com/nagadomi/lbpcascade_animeface

Anime face landmark detection

• https://github.com/kanosawa/anime_face_landmark_detection

Others

• https://www.gwern.net/Faces
• https://thisanimedoesnotexist.ai