import cv2 as cvimport numpy as np 

#(400,600,3)分别是宽、高、通道数canvas = np.zeros((400,600,3),dtype=np.uint8)+255#画一条纵向正中央的黑色分界线,(300,0)分别是宽、高cv.line(canvas,(300,0),(300,399),(0,0,0,),2)#画一条右半部分画面以199为界的横向分界线cv.line(canvas,(300,199),(599,199),(0,0,0,),2)

# 左半部分的右下角画个红色的圆cv.circle(canvas, (150, 300), 88, (0, 0, 255), 5) #(80, 300), 100-》圆心，半径# 左半部分的左下角画个蓝色的矩形 ，(10, 10), (60, 60) 左上角坐标, 右下角坐标,cv.rectangle(canvas, (10, 300), (50, 390), (255, 0, 0), thickness=3) # 定义两个三角形，并执行内部绿色填充triangles = np.array([    [(150, 240), (95, 333), (205, 333)],    [(60, 160), (20, 217), (100, 217)]])cv.fillPoly(canvas, triangles, (0, 255, 0))# 画一个黄色五角星# 第一步通过旋转角度的办法求出五个顶点phi = 4 * np.pi / 5rotations = [[[np.cos(i * phi), -np.sin(i * phi)], [i * np.sin(phi), np.cos(i * phi)]] for i in range(1, 5)]pentagram = np.array([[[[0, -1]] + [np.dot(m, (0, -1)) for m in rotations]]], dtype=np.float) # 定义缩放倍数和平移向量把五角星画在左半部分画面的上方pentagram = np.round(pentagram * 80 + np.array([160, 120])).astype(np.int)# 将5个顶点作为多边形顶点连线，得到五角星cv.polylines(canvas, pentagram, True, (0, 255, 255), 9)# 按像素为间隔从左至右在画面右半部份的上方画出HSV空间的色调连续变化for x in range(302, 600):    color_pixel = np.array([[[round(180*float(x-302)/298), 255, 255]]], dtype=np.uint8)    line_color = [int(c) for c in cv.cvtColor(color_pixel, cv.COLOR_HSV2BGR)[0][0]]    cv.line(canvas, (x, 0), (x, 197), line_color)# 如果定义圆的线宽大于半径，则等效于画圆点，随机在画面右下角的框内生成坐标np.random.seed(42)n_pts = 30pts_x = np.random.randint(310, 590, n_pts)   #x范围pts_y = np.random.randint(210, 390, n_pts)   #y范围pts = zip(pts_x, pts_y) # 画出每个点，颜色随机for pt in pts:    pt_color = [int(c) for c in np.random.randint(0, 255, 3)]    cv.circle(canvas, pt, 3, pt_color, 5)# OpenCV-python在图片上输出中文# 在python中，可以借助PIL(python Imaging Library)模块实现from PIL import Image, ImageDraw, ImageFont # 图像从OpenCV格式转换成PIL格式pil_img = cv.cvtColor(canvas,cv.COLOR_BGR2RGB)#cv2和PIL中颜色的hex码的储存顺序不同，需转RGB模式pilimg = Image.fromarray(pil_img)#Image.fromarray()将数组类型转成图片格式，与np.array()相反draw = ImageDraw.Draw(pilimg)#PIL图片上打印汉字 #参数1：字体文件路径，参数2：字体大小；Windows系统“simhei.ttf”默认存储在路径：C:/Windows/Fonts中font = ImageFont.truetype("SIMLI.TTF",30,encoding="utf-8") draw.text((0,0),"打印的文字 English",(255,0,0),font=font)cv2img = cv.cvtColor(np.array(pilimg),cv.COLOR_RGB2BGR)#将图片转成cv2.imshow()可以显示的数组格式#展示绘制的图形cv.namedWindow('Basic Graph',cv.WINDOW_NORMAL)cv.imshow('Basic Graph',canvas)#保存绘制的图像cv.imwrite('C:/Users/Administrator/Desktop/New_Study/IMAGE/Result_img/Basic_Graph.jpg',canvas)cv.waitKey()