目录

1

cv2.imwrite&＃xff08;&＃xff09;    中文乱码问题

cv2.puttext()  能在图片上打印汉字吗

2

灰度世界&＃xff08;白平衡&＃xff09;

plt画图

BGR彩图的统计直方图

线段

1

cv2.imwrite&＃xff08;&＃xff09;    中文乱码问题

你一定尝试过了&＃xff1a;

1 更改setting 选项             2 # -*- coding: utf-8 -*-        3 .encode( )   .......            的方案了吧&＃xff0c;然后&＃xff0c;没好使。。。

cv2.imwrite(filename, img)

print 出 filename 明明是正常的中文&＃xff0c;可是输出的文件名却乱码&＃xff1f;

前方高能&＃xff0c;终于找到解决方法&＃xff0c;开森

#cv2.imwrite(filename, img) 改为下句cv2.imencode(&＃39;.jpg&＃39;, img)[1].tofile(filename)

哦吼完美&＃xff01;

下面再来解决读取中文路径&＃xff1a;

img&＃61;cv2.imdecode(np.fromfile(filePath,dtype&＃61;np.uint8),-1)

cv2.puttext()  能在图片上打印汉字吗

cv2.puttext 是不可以的。

r1&＃61; [&＃39;黑&＃39;, &＃39;A&＃39;, &＃39;0&＃39;, &＃39;S&＃39;, &＃39;K&＃39;, &＃39;0&＃39;, &＃39;5&＃39;]
r2&＃61; [&＃39;黑&＃39;, &＃39;A&＃39;, &＃39;0&＃39;, &＃39;S&＃39;, &＃39;K&＃39;, &＃39;0&＃39;, &＃39;5&＃39;]
r3&＃61; [&＃39;黑&＃39;, &＃39;A&＃39;, &＃39;0&＃39;, &＃39;S&＃39;, &＃39;K&＃39;, &＃39;0&＃39;, &＃39;5&＃39;]

img&＃61;cv2.resize(img,(410,90))
imgh, imgw, _ &＃61; img.shape
back &＃61; 255*np.ones((2*imgh, imgw, 3), np.uint8)
back[0:imgh, 0:imgw ] &＃61; img
img_PIL &＃61; Image.fromarray(cv2.cvtColor(back, cv2.COLOR_BGR2RGB))
draw &＃61; ImageDraw.Draw(img_PIL)
for i in range(len(r0)):draw.text((80&＃43;40*i, 115), &＃39;&＃39;.join(r0[i]), (0, 70, 255), ImageFont.truetype("simhei.ttf", 22, encoding&＃61;"utf-8"))
for i in range(len(r1)):draw.text((80&＃43;40*i, 135), &＃39;&＃39;.join(r1[i]), (0, 70, 255), ImageFont.truetype("simhei.ttf", 22, encoding&＃61;"utf-8"))
for i in range(len(r2)):draw.text((80&＃43;40*i, 155), &＃39;&＃39;.join(r2[i]),(0, 70, 255), ImageFont.truetype("simhei.ttf", 22, encoding&＃61;"utf-8"))
for i in range(len(res)):draw.text((80&＃43;40*i, 95), &＃39;&＃39;.join(res[i]), (0, 0, 0), ImageFont.truetype("simhei.ttf", 22, encoding&＃61;"utf-8"))
back &＃61; cv2.cvtColor(np.asarray(img_PIL), cv2.COLOR_RGB2BGR)cv2.imencode(&＃39;.jpg&＃39;, back)[1].tofile("./k/"&＃43;&＃39;&＃39;.join(res)&＃43;"_{}.jpg".format(index))index&＃43;&＃61;1cv2.imshow("T",back)

2

灰度世界&＃xff08;白平衡&＃xff09;

def grey_world(nimg): nimg &＃61; nimg.transpose(2, 0, 1).astype(np.uint32) avgB &＃61; np.average(nimg[0]) avgG &＃61; np.average(nimg[1]) avgR &＃61; np.average(nimg[2]) avg &＃61; (avgB &＃43; avgG &＃43; avgR) / 3 nimg[0] &＃61; np.minimum(nimg[0] * (avg / avgB), 255) nimg[1] &＃61; np.minimum(nimg[1] * (avg / avgG), 255) nimg[2] &＃61; np.minimum(nimg[2] * (avg / avgR), 255) return nimg.transpose(1, 2, 0).astype(np.uint8)

plt画图

BGR彩图的统计直方图

&＃39;&＃39;&＃39;绘制BGR彩图的统计直方图
&＃39;&＃39;&＃39;
from matplotlib import pyplot as plt
import numpy as np
import cv2
import os
path &＃61; "pp"
cc &＃61; 0
for root, dirs, files in os.walk(path):for file in files:if file[-5] is &＃39;s&＃39;:continue# 读入图片img &＃61; cv2.imdecode(np.fromfile(path &＃43; "/" &＃43; file, dtype&＃61;np.uint8), cv2.IMREAD_COLOR)if img is None:print("图片读入失败, 请检查图片路径及文件名")exit()# 创建画布fig, ax &＃61; plt.subplots()# Matplotlib预设的颜色字符bgrColor &＃61; (&＃39;b&＃39;, &＃39;g&＃39;, &＃39;r&＃39;)# 统计窗口间隔 , 设置小了锯齿状较为明显 最小为1 最好可以被256整除bin_win &＃61; 16# 设定统计窗口bins的总数bin_num &＃61; int(256 / bin_win)for cidx, color in enumerate(bgrColor):# cidx channel 序号# color r / g / bcHist &＃61; cv2.calcHist([img], [cidx], None, [bin_num], [0, 256])# 绘制折线图ax.plot(cHist, color&＃61;color)#绘制线段# 控制画布的窗口x坐标的稀疏程度. 最密集就设定xticks_win&＃61;1xticks_win &＃61; 4# 设定画布的范围ax.set_xlim([0, bin_num])# 设定x轴方向标注的位置ax.set_xticks(np.arange(0, bin_num, xticks_win))# 设定x轴方向标注的内容ax.set_xticklabels(list(range(0, 256, bin_win * xticks_win)), rotation&＃61;45)# 显示画面plt.show()#plt.savefig("p2/" &＃43; file[:-4] &＃43; "s.jpg")#cv2.imwrite("p2/" &＃43; file,img)


线段

x&＃61;[0,255]
y&＃61;[30,30]
ax.plot(x,y, color&＃61;color)