Your Cartoon Face

这是一个基于paddlehub的项目。（疯狂安利aistudio，Tesla V100警告

本项目的功能是：输入一个人的照片，输出这个人的漫画风格脸。

本项目分为两部分，第一部分，检测出图片中的人脸，并进行裁剪。第二部分，将检测出的人脸变成漫画风格的人脸。

!pip install paddlehub==1.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple 

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: paddlehub==1.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (1.6.0) Requirement already satisfied: yapf==0.26.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (0.26.0) Requirement already satisfied: flask>=1.1.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (1.1.1) Requirement already satisfied: colorlog in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (4.1.0) Requirement already satisfied: pyyaml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (5.1.2) Requirement already satisfied: tb-paddle in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (0.3.6) Requirement already satisfied: numpy; python_version >= "3" in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (1.16.4) Requirement already satisfied: sentencepiece in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (0.1.85) Requirement already satisfied: tensorboard>=1.15 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (2.1.0) Requirement already satisfied: pre-commit in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==1.6.0) (1.21.0) Requirement already satisfied: gunicorn>=19.10.0; 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Part 1. 人脸检测

import matplotlib.pyplot as plt import cv2 import numpy as np import paddlehub as hub 

先看一看输入图片

img_path = ['./data/hp.jpg'] img = cv2.imread(img_path[0]) img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR) plt.figure(figsize=(10, 10)) plt.imshow(img) plt.show() 

加载face dectector预训练模型

face_detect_module = hub.Module(name='ultra_light_fast_generic_face_detector_1mb_640') input_dict = {'image': img_path} results = face_detect_module.face_detection(data=input_dict) print(results[0]) data = results[0]['data'][0] top = max(int(data['top']-20), 0) bottom = min(int(data['bottom']+20), img.shape[0]) left = max(int(data['left']-20), 0) right = min(int(data['right']+20), img.shape[1]) img = img[top:bottom, left:right] plt.figure(figsize=(10, 10)) plt.imshow(img) plt.show() img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) cv2.imwrite('./data/hp2.jpg', img) 

[2020-04-18 14:12:24,471] [    INFO] - Installing ultra_light_fast_generic_face_detector_1mb_640 module [2020-04-18 14:12:24,474] [    INFO] - Module ultra_light_fast_generic_face_detector_1mb_640 already installed in /home/aistudio/.paddlehub/modules/ultra_light_fast_generic_face_detector_1mb_640 

{'data': [{'left': 302.328369140625, 'right': 504.18096923828125, 'top': 70.77826690673828, 'bottom': 354.7093200683594, 'confidence': 0.9999996423721313}], 'path': './data/hp.jpg'} 

Part 2. Style Transfer

(由于用的普通的预训练gan，transfer效果一般般，留下了菜鸡的眼泪)

看一看风格图片

style_img = cv2.cvtColor(cv2.imread('data/C00003.jpg'), cv2.COLOR_RGB2BGR) plt.figure(figsize=(10, 10)) plt.imshow(style_img) plt.show() 

加载style transfer模型

stylepro_artistic = hub.Module(name="stylepro_artistic") result = stylepro_artistic.style_transfer(     images=[{ 'content': cv2.cvtColor(cv2.imread('data/hp2.jpg'), cv2.COLOR_RGB2BGR), 'styles': [cv2.cvtColor(cv2.imread('data/C00003.jpg'), cv2.COLOR_RGB2BGR)] }]) cartoon_img = result[0]['data'] plt.figure(figsize=(10, 10)) plt.imshow(cartoon_img) plt.show() 

[2020-04-18 14:13:48,868] [    INFO] - Installing stylepro_artistic module [2020-04-18 14:13:48,871] [    INFO] - Module stylepro_artistic already installed in /home/aistudio/.paddlehub/modules/stylepro_artistic