目标检测可视化gt

xml格式可视化

这里分了两类

（1）目标被标注为正矩形，即（xmin，ymin），（xmax，ymax)，一般的voc数据类型都是这种标注形式

（2）目标被标注为具有一定旋转角度的矩形，即（x1，y1），（x2，y2），（x3，y3），（x4，y4），DOTA数据集就是这样的标注形式

import cv2 
import os
import numpy as np
import xml.dom.minidom
from xml.dom.minidom import Document

import sys  
stdi, stdo, stde = sys.stdin, sys.stdout, sys.stderr
reload(sys)
sys.setdefaultencoding('utf-8')
sys.stdin, sys.stdout, sys.stderr = stdi, stdo, stde


def custombasename(fullname):  
    return os.path.basename(os.path.splitext(fullname)[0])  
  
def GetFileFromThisRootDir(dir,ext = None):  
  allfiles = []  
  needExtFilter = (ext != None)  
  for root,dirs,files in os.walk(dir):  
    for filespath in files:  
      filepath = os.path.join(root, filespath)  
      extension = os.path.splitext(filepath)[1][1:]  
      if needExtFilter and extension in ext:  
        allfiles.append(filepath)  
      elif not needExtFilter:  
        allfiles.append(filepath)  
  return allfiles  


def readXml(xmlfile, hbb = True):
    DomTree = xml.dom.minidom.parse(xmlfile)  
    annotation = DomTree.documentElement  
    imgnamelist = annotation.getElementsByTagName('filename')  
    img_name = imgnamelist[0].childNodes[0].data #图片的名称
    
    sizelist = annotation.getElementsByTagName('size') #[]  
    heights = sizelist[0].getElementsByTagName('height')
    height = int(heights[0].childNodes[0].data)
    widths =sizelist[0].getElementsByTagName('width')
    width = int(widths[0].childNodes[0].data)
    depths = sizelist[0].getElementsByTagName('depth')
    depth = int(depths[0].childNodes[0].data)
    objectlist = annotation.getElementsByTagName('object')        
    bboxes = []
    for objects in objectlist:  
        namelist = objects.getElementsByTagName('name')  
        class_label = namelist[0].childNodes[0].data  
        bndbox = objects.getElementsByTagName('bndbox')[0]  
        
        if hbb:
            xmin_list = bndbox.getElementsByTagName('xmin')  
            xmin = int(float(xmin_list[0].childNodes[0].data))  
            ymin_list = bndbox.getElementsByTagName('ymin') 
            ymin = int(float(ymin_list[0].childNodes[0].data)) 
               
            xmax_list = bndbox.getElementsByTagName('xmax')  
            xmax = int(float(xmax_list[0].childNodes[0].data))  
            ymax_list = bndbox.getElementsByTagName('ymax') 
            ymax = int(float(ymax_list[0].childNodes[0].data)) 
            
            bbox = [xmin, ymin, xmax, ymax,class_label]
            bboxes.append(bbox)
        else:            
            x0_list = bndbox.getElementsByTagName('x0')  
            x0 = int(float(x0_list[0].childNodes[0].data))  
            y0_list = bndbox.getElementsByTagName('y0') 
            y0 = int(float(y0_list[0].childNodes[0].data)) 
                   
            x1_list = bndbox.getElementsByTagName('x1')  
            x1 = int(float(x1_list[0].childNodes[0].data))  
            y1_list = bndbox.getElementsByTagName('y1') 
            y1 = int(float(y1_list[0].childNodes[0].data)) 
    
            x2_list = bndbox.getElementsByTagName('x2')  
            x2 = int(float(x2_list[0].childNodes[0].data))  
            y2_list = bndbox.getElementsByTagName('y2')  
            y2 = int(float(y2_list[0].childNodes[0].data))
            
            x3_list = bndbox.getElementsByTagName('x3')  
            x3 = int(float(x3_list[0].childNodes[0].data))  
            y3_list = bndbox.getElementsByTagName('y3')  
            y3 = int(float(y3_list[0].childNodes[0].data))

            bbox = [x0,y0,x1,y1,x2,y2,x3,y3,class_label]
            bboxes.append(bbox)
    return bboxes,width,height,depth,img_name
    
    
def visualise_gt(label_path, pic_path, newpic_path, hbb = True):
    results =  GetFileFromThisRootDir(label_path)
    font = cv2.FONT_HERSHEY_SIMPLEX                    #字体
    for result in results:
        [boxes, w, h, d, imgname] = readXml(result, hbb)
        filepath=os.path.join(pic_path, imgname)
        im=cv2.imread(filepath)

        for i in range(len(boxes)):
            if hbb:         
                cv2.rectangle(im,(boxes[i][0],boxes[i][1]),(boxes[i][2],boxes[i][3]), (0,255,255), 2)
            else:
                box =np.array( [[boxes[i][0],boxes[i][1]],[boxes[i][2],boxes[i][3]], \
                                [boxes[i][4],boxes[i][5]],[boxes[i][6],boxes[i][7]]],np.int32)
                cv2.polylines(im,[box], True, (0,255,255),2) #true表示闭合
            #书写标签 
            cv2.rectangle(im, (boxes[i][0], boxes[i][1]-15), (boxes[i][0] +65 ,boxes[i][1] -2), (255, 0, 0), thickness=-1) # thickness表示线的粗细，等于-1表示填充，颜色为(255, 0, 0)
            cv2.putText(im, boxes[i][-1], (boxes[i][0], boxes[i][1]-2), font, 0.7, (255, 255, 255), 1) #0.5是字体大小，2是字体的粗细
        
        cv2.imwrite(os.path.join(newpic_path,imgname),im)
        print('已完成',result)

if __name__ == '__main__':
    root='/home/yantianwang/clone/haha'
    pic_path = os.path.join(root, 'images') #样本图片路径
    label_path = os.path.join(root, 'xml') #xml文件所在路径    
    newpic_path=os.path.join(root,'visgt')    #可视化结果的保存路径
    if not os.path.isdir(newpic_path):
        os.makedirs(newpic_path)
    visualise_gt(label_path, pic_path, newpic_path, hbb = True)  #默认是hbb

可视化结果：

DOTA数据格式可视化

import cv2 
import os
import numpy as np


thr=0.95
def custombasename(fullname):  
    return os.path.basename(os.path.splitext(fullname)[0])  
  
def GetFileFromThisRootDir(dir,ext = None):  
  allfiles = []  
  needExtFilter = (ext != None)  
  for root,dirs,files in os.walk(dir):  
    for filespath in files:  
      filepath = os.path.join(root, filespath)  
      extension = os.path.splitext(filepath)[1][1:]  
      if needExtFilter and extension in ext:  
        allfiles.append(filepath)  
      elif not needExtFilter:  
        allfiles.append(filepath)  
  return allfiles  

def visualise_gt(label_path, pic_path, newpic_path):
    results =  GetFileFromThisRootDir(label_path)
    for result in results:
        f = open(result,'r')
        lines = f.readlines()
        if len(lines)==0:  #如果为空
            print('文件为空',result)
            continue
        boxes = []
        for i,line in enumerate(lines):
            #score = float(line.strip().split(' ')[8])
            if i in [0,1]:   #前两行不需要
                continue
            name = result.split('/')[-1]
            box=line.strip().split(' ')[0:8]
            box = np.array(box,dtype = np.float)
            #if float(score)>thr:
            boxes.append(box)
        boxes = np.array(boxes,np.float)
        f.close()   
        filepath=os.path.join(pic_path, name.split('.')[0]+'.tif')
        im=cv2.imread(filepath)
        #print line3
        for i in range(boxes.shape[0]):
            box =np.array( [[boxes[i][0],boxes[i][1]],[boxes[i][2],boxes[i][3]], \
                            [boxes[i][4],boxes[i][5]],[boxes[i][6],boxes[i][7]]],np.int32)
            box = box.reshape((-1,1,2))
            cv2.polylines(im,[box],True,(0,255,255),2)
        cv2.imwrite(os.path.join(newpic_path,result.split('/')[-1].split('.')[0]+'.tif'),im)
        #下面是有score的        
        #        x,y,w,h,score=box.split('_')#
        #        score=float(score)
        #        cv2.rectangle(im,(int(x),int(y)),(int(x)+int(w),int(y)+int(h)),(0,0,255),1)
        #        cv2.putText(im,'%3f'%score, (int(x)+int(w),int(y)+int(h)+5),cv2.FONT_HERSHEY_SIMPLEX,0.5,(0,255,0),1)
        #        cv2.imwrite(newpic_path+filename,im)

if __name__ == '__main__':
    root='/home/yantianwang/lala/ship/train/'
    pic_path = os.path.join(root, 'images') #样本图片路径
    label_path = os.path.join(root, 'labelTxt') #DOTA标签的所在路径    
    newpic_path=os.path.join(root,'hbbshow')   #可视化保存路径
    if not os.path.isdir(newpic_path):
        os.makedirs(newpic_path)
    visualise_gt(label_path, pic_path, newpic_path)