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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

2017-07-21 00:30 1066 查看

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)
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