四维图新杯”自动驾驶视觉感知算法赛baseline-----第一部分

目标检测部分----baseline（github）数据预处理部分(附VOC,COCO数据集链接)

VOC,COCO数据集百度云链接：
链接：https://pan.baidu.com/s/1uwp_xlJNi1dXQ8SZbTEfig
提取码：i6da
1.1赛题数据转VOC格式 and VOC标签转COCO标签
现在做人工智能比赛，一般都是需要预处理数据，并把数据转换成COCO格式或者VOC格式，接下来给大家分享如何将本赛题的检测数据转为VOC格式。
下图为此次竞赛给出的数据格式：
train.txt中的标签数据的具体说明如下：
如果检测目标有多个时，后面会用空格间隔，继续X1,Y1,X2,Y2 ,type，confidence这种格式。而type包含的类别编号对应的类别名称如下表所示，background 背景为0。
第一步：将train.txt按图像分成多个txt文件

Fen_hang.py:
f = open("train.txt","r")
lines = f.readlines()
for line in lines:
    line
    txt = line[0:6]
    #print(txt)
    f=txt+'.txt'
    file = open(f, 'w')
    #print(f)
    line=line[22:]
    #print(line)
    for db in line.split():
        #print(db)
        file.write(db[:-2])
        file.write('\n')

效果如下：

第二步：将txt文件转换为xmlVOC类标签文件

Txt_xml.py:
#! /usr/bin/python
# -*- coding:UTF-8 -*-
import os, sys
import glob
from PIL import Image
 
# VEDAI 图像存储位置
src_img_dir = "/home/cb/code/zidonjiashi/dataset/test/"#图片存放地址
# VEDAI 图像的 ground truth 的 txt 文件存放位置
src_txt_dir = "/home/cb/code/zidonjiashi/txt_to_coco/weibiaoqian_test/"#txt存放地址
src_xml_dir = "/home/cb/code/zidonjiashi/txt_to_coco/anno1/"#生成xml存放地址
 
img_Lists = glob.glob(src_img_dir + '/*.jpg')
 
img_basenames = [] # e.g. 100.jpg
for item in img_Lists:
    img_basenames.append(os.path.basename(item))
 
img_names = [] # e.g. 100
for item in img_basenames:
    temp1, temp2 = os.path.splitext(item)
    img_names.append(temp1)
 
for img in img_names:
    im = Image.open((src_img_dir + '/' + img + '.jpg'))
    width, height = im.size
 
    # open the crospronding txt file
    gt = open(src_txt_dir + '/' + img + '.txt').read().splitlines()
    #gt = open(src_txt_dir + '/gt_' + img + '.txt').read().splitlines()
 
    # write in xml file
    #os.mknod(src_xml_dir + '/' + img + '.xml')
    xml_file = open((src_xml_dir + '/' + img + '.xml'), 'w')
    xml_file.write('<annotation>\n')
    xml_file.write('    <folder>VOC2007</folder>\n')
    xml_file.write('    <filename>' + str(img) + '.jpg' + '</filename>\n')
    xml_file.write('    <size>\n')
    xml_file.write('        <width>' + str(width) + '</width>\n')
    xml_file.write('        <height>' + str(height) + '</height>\n')
    xml_file.write('        <depth>3</depth>\n')
    xml_file.write('    </size>\n')
 
    # write the region of image on xml file
    for img_each_label in gt:
        spt = img_each_label.split(',') #这里如果txt里面是以逗号‘，’隔开的，那么就改为spt = img_each_label.split(',')。
        xml_file.write('    <object>\n')
        xml_file.write('        <name>' + str(spt[4]) + '</name>\n')
        xml_file.write('        <pose>Unspecified</pose>\n')
        xml_file.write('        <truncated>0</truncated>\n')
        xml_file.write('        <difficult>0</difficult>\n')
        xml_file.write('        <bndbox>\n')
        xml_file.write('            <xmin>' + str(spt[0]) + '</xmin>\n')
        xml_file.write('            <ymin>' + str(spt[1]) + '</ymin>\n')
        xml_file.write('            <xmax>' + str(spt[2]) + '</xmax>\n')
        xml_file.write('            <ymax>' + str(spt[3]) + '</ymax>\n')
        xml_file.write('        </bndbox>\n')
        xml_file.write('    </object>\n')
 
xml_file.write('</annotation>')

至此，生成xml标签文件如下，再按如下顺序存放，便成了VOC数据集。
第三步：VOC标签转COCO标签

Voccoco.py:
import xml.etree.ElementTree as ET
import os
import json
 
coco = dict()
coco['images'] = []
coco['type'] = 'instances'
coco['annotations'] = []
coco['categories'] = []
 
category_set = dict()
image_set = set()
 
category_item_id = -1
image_id = 7000
annotation_id = 0
 
 
def addCatItem(name):
    global category_item_id
    category_item = dict()
    category_item['supercategory'] = 'none'
    category_item_id += 1
    category_item['id'] = category_item_id
    category_item['name'] = name
    coco['categories'].append(category_item)
    category_set[name] = category_item_id
    return category_item_id
 
 
def addImgItem(file_name, size):
    global image_id
    if file_name is None:
        raise Exception('Could not find filename tag in xml file.')
    if size['width'] is None:
        raise Exception('Could not find width tag in xml file.')
    if size['height'] is None:
        raise Exception('Could not find height tag in xml file.')
    image_id += 1
    image_item = dict()
    image_item['id'] = image_id
    image_item['file_name'] = file_name
    image_item['width'] = size['width']
    image_item['height'] = size['height']
    coco['images'].append(image_item)
    image_set.add(file_name)
    return image_id
 
 
def addAnnoItem(object_name, image_id, category_id, bbox):
    global annotation_id
    annotation_item = dict()
    annotation_item['segmentation'] = []
    seg = []
    # bbox[] is x,y,w,h
    # left_top
    seg.append(bbox[0])
    seg.append(bbox[1])
    # left_bottom
    seg.append(bbox[0])
    seg.append(bbox[1] + bbox[3])
    # right_bottom
    seg.append(bbox[0] + bbox[2])
    seg.append(bbox[1] + bbox[3])
    # right_top
    seg.append(bbox[0] + bbox[2])
    seg.append(bbox[1])
 
    annotation_item['segmentation'].append(seg)
 
    annotation_item['area'] = bbox[2] * bbox[3]
    annotation_item['iscrowd'] = 0
    annotation_item['ignore'] = 0
    annotation_item['image_id'] = image_id
    annotation_item['bbox'] = bbox
    annotation_item['category_id'] = category_id
    annotation_id += 1
    annotation_item['id'] = annotation_id
    coco['annotations'].append(annotation_item)
 
 
def parseXmlFiles(xml_path):
    n=0
    for f in os.listdir(xml_path):
        if not f.endswith('.xml'):
            continue
 
        bndbox = dict()
        size = dict()
        current_image_id = None
        current_category_id = None
        file_name = None
        size['width'] = None
        size['height'] = None
        size['depth'] = None
 
        xml_file = os.path.join(xml_path, f)
        print(xml_file)
        print(n)
        n=n+1;
 
        tree = ET.parse(xml_file)
        root = tree.getroot()
        if root.tag != 'annotation':
            raise Exception('pascal voc xml root element should be annotation, rather than {}'.format(root.tag))
 
        # elem is <folder>, <filename>, <size>, <object>
        for elem in root:
            current_parent = elem.tag
            current_sub = None
            object_name = None
 
            if elem.tag == 'folder':
                continue
 
            if elem.tag == 'filename':
                file_name = elem.text
                if file_name in category_set:
                    raise Exception('file_name duplicated')
 
            # add img item only after parse <size> tag
            elif current_image_id is None and file_name is not None and size['width'] is not None:
                if file_name not in image_set:
                    current_image_id = addImgItem(file_name, size)
                    print('add image with {} and {}'.format(file_name, size))
                else:
                    raise Exception('duplicated image: {}'.format(file_name))
                    # subelem is <width>, <height>, <depth>, <name>, <bndbox>
            for subelem in elem:
                bndbox['xmin'] = None
                bndbox['xmax'] = None
                bndbox['ymin'] = None
                bndbox['ymax'] = None
 
                current_sub = subelem.tag
                if current_parent == 'object' and subelem.tag == 'name':
                    object_name = subelem.text
                    if object_name not in category_set:
                        current_category_id = addCatItem(object_name)
                    else:
                        current_category_id = category_set[object_name]
 
                elif current_parent == 'size':
                    if size[subelem.tag] is not None:
                        raise Exception('xml structure broken at size tag.')
                    size[subelem.tag] = int(subelem.text)
 
                # option is <xmin>, <ymin>, <xmax>, <ymax>, when subelem is <bndbox>
                for option in subelem:
                    if current_sub == 'bndbox':
                        if bndbox[option.tag] is not None:
                            raise Exception('xml structure corrupted at bndbox tag.')
                        bndbox[option.tag] = int(option.text)
 
                # only after parse the <object> tag
                if bndbox['xmin'] is not None:
                    if object_name is None:
                        raise Exception('xml structure broken at bndbox tag')
                    if current_image_id is None:
                        raise Exception('xml structure broken at bndbox tag')
                    if current_category_id is None:
                        raise Exception('xml structure broken at bndbox tag')
                    bbox = []
                    # x
                    bbox.append(bndbox['xmin'])
                    # y
                    bbox.append(bndbox['ymin'])
                    # w
                    bbox.append(bndbox['xmax'] - bndbox['xmin'])
                    # h
                    bbox.append(bndbox['ymax'] - bndbox['ymin'])
                    print('add annotation with {},{},{},{}'.format(object_name, current_image_id, current_category_id,
                                                                   bbox))
                    addAnnoItem(object_name, current_image_id, current_category_id, bbox)
 
 
if __name__ == '__main__':
    xml_path = '/home/cb/code/zidonjiashi/txt_to_coco/anno1/'    # 这是xml文件所在的地址
    json_file = '/home/cb/code/zidonjiashi/xml_to_json/wei_test/test.json'                                     # 这是你要生成的json文件                        
    parseXmlFiles(xml_path)                                       # 只需要改动这两个参数就行了
    json.dump(coco, open(json_file, 'w'))