画边框（ｐｙｔｈｏｎ）

#!/usr/bin/env python3# -*- coding: utf-8 -*-"""Created on Mon Jun 12 10:08:41 2017@author: wgb"""import cv2import randomimport matplotlib.pyplot as pltimport matplotlib.image as mpimgimport matplotlib.cm as mpcmimport osdir_cu = os.getcwd()     scores=0.5    classes=1linewidth=1.5   figsize=(10,10)file_name = '/home/wgb/Desktop/CMU/rawDataSet/pcd0119r.png'img =cv2.imread(file_name)bboxes = []fig = plt.figure(figsize=figsize)#plt.imshow(img)height = img.shape[0]width = img.shape[1]colors = dict()#for i in range(classes.shape[0]):cls_id = int(1)#    if cls_id >= 0:score = scoresif cls_id not in colors:    colors[cls_id] =255* (random.random(), random.random(), random.random())f = open('/home/wgb/Desktop/CMU/rawDataSet/pcd0119cpos.txt')   line = f.readline()             # 调用文件的 readline()方法 while line:     bbox = line    #    bboxes = bboxes.append(bbox)                # 后面跟 ',' 将忽略换行符 #    print(line)　　　         print(line)    line = f.readline()    bboxes.append(bbox)f.close()  print(bboxes)#xmin = float(bboxes[0].split()[0])#ymin = float(bboxes[0].split()[1])#xmax = float(bboxes[1].split()[0])#ymax = float(bboxes[1].split()[1])#xmin = float(bboxes[3].split()[0])ymin = float(bboxes[3].split()[1])xmax = float(bboxes[2].split()[0])ymax = float(bboxes[2].split()[1])p1 = int(float(bboxes[0].split()[0]))p2 = int(float(bboxes[0].split()[1]))pt1 = (p1,p2)p1 = int(float(bboxes[1].split()[0]))p2 = int(float(bboxes[1].split()[1]))pt2 = (p1,p2)p1 = int(float(bboxes[2].split()[0]))p2 = int(float(bboxes[2].split()[1]))pt3 = (p1,p2)p1 = int(float(bboxes[3].split()[0]))p2 = int(float(bboxes[3].split()[1]))pt4 = (p1,p2)###ymin = int(bboxes[i, 0] )##xmin = int(bboxes[i, 1])##ymax = int(bboxes[i, 2])##xmax = int(bboxes[i, 3])##rect = plt.Rectangle((xmin, ymin), xmax - xmin,##                     ymax - ymin, fill=False,##                     edgecolor=colors[cls_id],##                     linewidth=linewidth)##plt.gca().add_patch(rect)##class_name = 'w'color=(222,120,233)lineWidth = 2cv2.line(img, pt1, pt2, color,lineWidth)cv2.line(img, pt2, pt3, color, lineWidth)cv2.line(img, pt3, pt4, color, lineWidth)cv2.line(img, pt1, pt4, color, lineWidth)plt.imshow(img)#plt.gca().text(xmin, ymin - 2,#               '{:s} | {:.3f}'.format(class_name, score),#               bbox=dict(facecolor=colors[cls_id], alpha=0.5),#               fontsize=12, color='white')#   plt.show()