opencv图片写入中文（汉字）有两方法：

方法一：

python+opencv+freetype

/wyx100/article/details/75579581

方法二：

python+opencv+PIL

/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

/wyx100/article/details/73008528

python+freetype配置

/wyx100/article/details/73527117

项目完整文档下载（源代码+字体+图片）

/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/opencv/opencv_contrib

解决：更换版本

详细见/wyx100/article/details/73008324

完整字体下载

/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

#-*- coding: utf-8 -*-import cv2import ft2 img = cv2.imread('pic/lena.jpg')line = '你好,我是 lena' color = (0, 255, 0) # Greenpos = (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）

# -*- coding: utf-8 -*-# /zizi7/article/details/70145150 '''################################################### tools ##------------------------------------------------## draw chinese text using freetype on python2.x # ## .4.12 ###################################################''' import numpy as npimport freetypeimport copyimport 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.sizeascender = metrics.ascender/64.0 #descender = metrics.descender/64.0 #height = metrics.height/64.0 #linegap = height - ascender + descenderypos = 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 imgdef 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 = 0pen = freetype.Vector()pen.x = x_pos << 6 # div 64pen.y = y_pos << 6 hscale = 1.0matrix = 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.xslot = self._face.glyphbitmap = slot.bitmap cur_pen.x = pen.xcur_pen.y = pen.y - slot.bitmap_top * 64self.draw_ft_bitmap(image, bitmap, cur_pen, color) pen.x += slot.advance.xprev_char = cur_char return imagedef 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 >> 6y_pos = pen.y >> 6cols = bitmap.widthrows = 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) # Greenpos = (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)

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