python+freetype+opencv 图片中文（汉字）显示 详细图文教程和项目完整源代码

opencv图片写入中文（汉字）有两方法：

方法一：

python+opencv+freetype

https://blog.csdn.net/wyx100/article/details/75579581

方法二：

python+opencv+PIL

https://blog.csdn.net/wyx100/article/details/80412101

效果展示

开发环境配置

opencv+opencv_contrib 人脸识别和检测 python开发环境快速搭建(30分钟)图文教程

http://blog.csdn.net/wyx100/article/details/73008528

python+freetype配置

http://blog.csdn.net/wyx100/article/details/73527117

项目完整文档下载（源代码+字体+图片）

http://download.csdn.net/download/wyx100/9905823

报错 AttributeError: module 'cv2.face' has no attribute 'createEigenFaceRecognizer'

原因：版本问题，未安装

opencv_contrib，所以

model = cv2.face.createEigenFaceRecognizer() 行找不到face

下载地址

https://github.com/opencv/opencv_contrib

解决：更换版本 

详细见 http://blog.csdn.net/wyx100/article/details/73008324

完整字体下载

http://download.csdn.net/detail/o8xv0123/4589166

所有常用中英文ttf字体包，包含几个手写字体

包括：times new roman，中山行书百年纪念版，calibri，Christopherhand，DejaVuSansMono，方正兰亭黑，James Fajardo，Monaco，微软雅黑，仿宋，黑体，楷体，宋体，yahei_mono，仿宋_GB2312，楷体_GB2312，迷你简行楷碑。

项目源代码

1.主文件

hzTest.py

#-*- coding: utf-8 -*-
import cv2
import ft2

img = cv2.imread('pic/lena.jpg')
line = '你好,我是 lena'

color = (0, 255, 0)  # Green
pos = (3, 3)
text_size = 24

# ft = put_chinese_text('wqy-zenhei.ttc')
ft = ft2.put_chinese_text('msyh.ttf')
image = ft.draw_text(img, pos, line, text_size, color)

name = u'图片展示'

cv2.imshow(name, image)
cv2.waitKey(0)

2.中文处理文件（类）

ft2.py 

该文件也可以单独执行测试，包含主函数

# -*- coding: utf-8 -*-      
# http://blog.csdn.net/zizi7/article/details/70145150

'''
##################################################
# tools                                          #
#------------------------------------------------#
# draw chinese text using freetype on python2.x  #                  #
# 2017.4.12                                      #
##################################################
'''
                                                              
import numpy as np
import freetype
import copy
import pdb

class put_chinese_text(object):
    def __init__(self, ttf):
        self._face = freetype.Face(ttf)

    def draw_text(self, image, pos, text, text_size, text_color):
        '''
        draw chinese(or not) text with ttf
        :param image:     image(numpy.ndarray) to draw text
        :param pos:       where to draw text
        :param text:      the context, for chinese should be unicode type
        :param text_size: text size
        :param text_color:text color
        :return:          image
        '''
        self._face.set_char_size(text_size * 64)
        metrics = self._face.size
        ascender = metrics.ascender/64.0

        #descender = metrics.descender/64.0
        #height = metrics.height/64.0
        #linegap = height - ascender + descender
        ypos = int(ascender)

        if not isinstance(text, unicode):
            text = text.decode('utf-8')
        img = self.draw_string(image, pos[0], pos[1]+ypos, text, text_color)
        return img

    def draw_string(self, img, x_pos, y_pos, text, color):
        '''
        draw string
        :param x_pos: text x-postion on img
        :param y_pos: text y-postion on img
        :param text:  text (unicode)
        :param color: text color
        :return:      image
        '''
        prev_char = 0
        pen = freetype.Vector()
        pen.x = x_pos << 6   # div 64
        pen.y = y_pos << 6

        hscale = 1.0
        matrix = freetype.Matrix(int(hscale)*0x10000L, int(0.2*0x10000L),\
                                 int(0.0*0x10000L), int(1.1*0x10000L))
        cur_pen = freetype.Vector()
        pen_translate = freetype.Vector()

        image = copy.deepcopy(img)
        for cur_char in text:
            self._face.set_transform(matrix, pen_translate)

            self._face.load_char(cur_char)
            kerning = self._face.get_kerning(prev_char, cur_char)
            pen.x += kerning.x
            slot = self._face.glyph
            bitmap = slot.bitmap

            cur_pen.x = pen.x
            cur_pen.y = pen.y - slot.bitmap_top * 64
            self.draw_ft_bitmap(image, bitmap, cur_pen, color)

            pen.x += slot.advance.x
            prev_char = cur_char

        return image

    def draw_ft_bitmap(self, img, bitmap, pen, color):
        '''
        draw each char
        :param bitmap: bitmap
        :param pen:    pen
        :param color:  pen color e.g.(0,0,255) - red
        :return:       image
        '''
        x_pos = pen.x >> 6
        y_pos = pen.y >> 6
        cols = bitmap.width
        rows = bitmap.rows

        glyph_pixels = bitmap.buffer

        for row in range(rows):
            for col in range(cols):
                if glyph_pixels[row*cols + col] != 0:
                    img[y_pos + row][x_pos + col][0] = color[0]
                    img[y_pos + row][x_pos + col][1] = color[1]
                    img[y_pos + row][x_pos + col][2] = color[2]


if __name__ == '__main__':
    # just for test
    import cv2

    line = '你好'
    img = np.zeros([300,300,3])

    color_ = (0,255,0) # Green
    pos = (3, 3)
    text_size = 24

    #ft = put_chinese_text('wqy-zenhei.ttc')
    ft = put_chinese_text('msyh.ttf')
    image = ft.draw_text(img, pos, line, text_size, color_)

    cv2.imshow('ss', image)
    cv2.waitKey(0)

遇到问题、分享经验欢迎加入QQ群：452205574