python目標檢測給圖畫框,bbox畫到圖上并保存案例

更新時間：2020年03月10日 10:56:35 作者：別說話寫代碼

這篇文章主要介紹了python目標檢測給圖畫框,bbox畫到圖上并保存案例，具有很好的參考價值，希望對大家有所幫助。一起跟隨小編過來看看吧

我就廢話不多說了，還是直接上代碼吧！

import os
import xml.dom.minidom
import cv2 as cv
 
ImgPath = 'C:/Users/49691/Desktop/gangjin/gangjin_test/JPEGImages/'
AnnoPath = 'C:/Users/49691/Desktop/gangjin/gangjin_test/Annotations/' #xml文件地址
save_path = ''
def draw_anchor(ImgPath,AnnoPath,save_path):
  imagelist = os.listdir(ImgPath)
  for image in imagelist:
 
    image_pre, ext = os.path.splitext(image)
    imgfile = ImgPath + image
    xmlfile = AnnoPath + image_pre + '.xml'
    # print(image)
    # 打開xml文檔
    DOMTree = xml.dom.minidom.parse(xmlfile)
    # 得到文檔元素對象
    collection = DOMTree.documentElement
    # 讀取圖片
    img = cv.imread(imgfile)
 
    filenamelist = collection.getElementsByTagName("filename")
    filename = filenamelist[0].childNodes[0].data
    print(filename)
    # 得到標簽名為object的信息
    objectlist = collection.getElementsByTagName("object")
 
    for objects in objectlist:
      # 每個object中得到子標簽名為name的信息
      namelist = objects.getElementsByTagName('name')
      # 通過此語句得到具體的某個name的值
      objectname = namelist[0].childNodes[0].data
 
      bndbox = objects.getElementsByTagName('bndbox')
      # print(bndbox)
      for box in bndbox:
        x1_list = box.getElementsByTagName('xmin')
        x1 = int(x1_list[0].childNodes[0].data)
        y1_list = box.getElementsByTagName('ymin')
        y1 = int(y1_list[0].childNodes[0].data)
        x2_list = box.getElementsByTagName('xmax')  #注意坐標，看是否需要轉換
        x2 = int(x2_list[0].childNodes[0].data)
        y2_list = box.getElementsByTagName('ymax')
        y2 = int(y2_list[0].childNodes[0].data)
        cv.rectangle(img, (x1, y1), (x2, y2), (255, 255, 255), thickness=2)
        cv.putText(img, objectname, (x1, y1), cv.FONT_HERSHEY_COMPLEX, 0.7, (0, 255, 0),
              thickness=2)
        # cv.imshow('head', img)
        cv.imwrite(save_path+'/'+filename, img)  #save picture

補充知識：深度學習python之用Faster-rcnn 檢測結果（txt文件）在原圖畫出box

使用Faster-rcnn 的test_net.py 檢測網(wǎng)絡的mAP等精度會生成一個檢測結果（txt文件），格式如下：

000004 0.972 302.8 94.5 512.0 150.0
000004 0.950 348.1 166.1 512.0 242.9
000004 0.875 1.0 25.7 292.6 126.3
000004 0.730 1.0 138.5 488.3 230.0
000004 0.699 1.0 120.9 145.5 139.9
000004 0.592 54.4 227.4 431.9 343.4
000004 0.588 1.0 159.8 18.8 231.6
000004 0.126 1.0 247.1 342.3 270.0
000004 0.120 1.0 225.4 185.7 309.3

每行分別為名稱檢測概率 xmin ymin xmax ymax

問題在于每一行只顯示一個box數(shù)據(jù)，每幅圖像可能包括多個box，需要判斷提取的多行數(shù)據(jù)是不是屬于同一圖片

下面使用python提取這些數(shù)據(jù)，在原圖上畫出box并且保存起來

import os
import os.path
import numpy as np
import xml.etree.ElementTree as xmlET
from PIL import Image, ImageDraw
import cPickle as pickle 

txt_name = 'comp4_8a226fd7-753d-40fc-8013-f68d2a465579_det_test_ship.txt'
file_path_img = '/home/JPEGImages'
save_file_path = '/home/detect_results'


source_file = open(txt_name)

img_names = []
for line in source_file:
  staff = line.split()
  img_name = staff[0]
  img_names.append(img_name)

name_dict = {}
for i in img_names:
  if img_names.count(i)>0:
    name_dict[i] = img_names.count(i) 

source_file.close()

source_file = open(txt_name)
for idx in name_dict:
  img = Image.open(os.path.join(file_path_img, idx + '.jpg')) 
  draw = ImageDraw.Draw(img)
  for i in xrange(name_dict[idx]):
    line = source_file.readline()
    staff = line.split()
    score = staff[1]
    box = staff[2:6]
    draw.rectangle([int(np.round(float(box[0]))), int(np.round(float(box[1]))), 
          int(np.round(float(box[2]))), int(np.round(float(box[3])))], outline=(255, 0, 0))
  img.save(os.path.join(save_file_path, idx + '.jpg')) 

source_file.close()

運行完即可在保存文件夾中得到效果圖。

以上這篇python目標檢測給圖畫框,bbox畫到圖上并保存案例就是小編分享給大家的全部內(nèi)容了，希望能給大家一個參考，也希望大家多多支持腳本之家。

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