python-opencv的简单课程设计

从网上找了很多关于图片处理的资料，整合了下，就有了这个简单的课程设计。

代码直接附上

# @Author：linjiaxiaozhu
import cv2
from matplotlib import pyplot as plt
import numpy as np
from math import *
path = input("请输入你要上传的图片：")

while True:
    print('操作提示【1:均值模糊；2：描边；3：旋转90度；4：双边滤波；5：裁剪；6：提亮】')
    num = int(input("请输入你想要的操作（输入数字）："))
    str = ['均值模糊', '描边', '旋转90度', '双边滤波', '裁剪','提亮']
    while num not in range(1, 7):
        num = int(input("不存在该操作，请重新输入想要的操作："))
    print('你要对图片进行的操作是:' + str[num - 1])
    cv_img = cv2.imdecode(np.fromfile(path,dtype=np.uint8),-1) #解决中文路径的问题
    img = cv2.cvtColor(cv_img, cv2.COLOR_RGB2BGR) #原图
    y, x = img.shape[0:2]  #求出上传图片的长x宽y
    if num==1:
        img1=cv2.blur(img, (1, 15))  #（1, 15）是垂直方向模糊
        titles = ["yuantu", "mohu"]
    elif num==2:
        img1= cv2.copyMakeBorder(img,30,30,30,30,cv2.BORDER_CONSTANT,value=[252,157,154]) #40是描的4条边的粗细，value是颜色值
        titles = ["yuantu", "miaobian"]
    elif num == 3:
        heightNew = int(x * fabs(sin(radians(90))) + y * fabs(cos(radians(90))))
        widthNew = int(y * fabs(sin(radians(90))) + x * fabs(cos(radians(90))))
        matRotation = cv2.getRotationMatrix2D((x / 2, y / 2), 90, 1)#(x/2,y/2)是旋转点的坐标，旋转90度
        matRotation[0, 2] += (widthNew - x) / 2  # 重点在这步
        matRotation[1, 2] += (heightNew - y) / 2  # 重点在这步
        img1 = cv2.warpAffine(img, matRotation, (widthNew, heightNew), borderValue=(255, 255, 255))
        titles = ["yuantu", "xuanzhuan"]
    elif num == 4:
        img1 = cv2.bilateralFilter(img, 0, 100, 15)  # 双边滤波
        titles = ["yuantu", "lvbo"]
    elif num == 5:
        img1= img[50:int(x),50:int(y)] # 裁剪坐标为[x0:x1, y0:y1]
        titles = ["yuantu", "caijian"]
    elif num == 6:
        img1 = cv2.addWeighted(img, 0.7, img, 0.4, 3)# 括号内参数分别为：图1，图1的权重，图2，图2的权重，权重和添加的值为3
        titles = ["yuantu", "tiliang"]

    images = [img, img1]
    for i in range(2):
        plt.subplot(1, 2, i + 1), plt.imshow(images[i]), plt.title(titles[i])
        plt.xticks([]), plt.yticks([])
    plt.show()

记得先安装相应的包哦
（因为是用了封装好的函数，具体的参数代表什么意思还不懂，等研究透了再来一篇教程吧）