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COCO 与VOC格式转化 -目标识别

念川LNSC 2022-03-18 阅读 65
目标检测

目录

一.Coco标注数据介绍

1. Json detection标签文件解读

2.代码读取json文件:

 二.  Voc 标注数据介绍

 1. xml文件解读:

2. 代码读取xml文件

三.Coco和Voc 数据相互转换

1. json  --->   xml

2. xml ---> json 


一.Coco标注数据介绍

1. Json detection标签文件解读

       coco数据集的所有标注信息包含在一个json文件中,json文件中以字典格式保存信息. 总的json文件中有五类信息: info.  licenses. images. annotations. categories .

我们主要关注后三类信息, 即图片的基本信息(name, height,width) ,每张图片的标注bbox和bbox的类别(category_id),以及总的类别id对应名称.

{  #image:图片信息 annotations:标注数据,categories:类别信息
   #---------------------------------------------------

    "info":info,
    "licenses": [licenses],
    "images":["file_name": "000000037777.jpg",
              "height": 230,"width": 352,
              "id": 37777]
    "annotations":["image_id":289343,
                           #[xmin,ymin,width,height]
                   "bbox": [473.07,395.93,38.65,28.67],
                   "category_id": 18,"id": 1768],
    "categories":[{"person","id": 1},
                  {"id": 17,"name": "cat"},
                  {"id": 18,"name": "dog"}]
}

 

2.代码读取json文件:

import json
annotate_path = "/home/wtj/Data/Coco2017/annotations/instances_train2017.json"
annos = json.loads(open(annotate_path).read())
print(type(annos))
print(len(annos))
print(annos.keys())
#print(annos["info"])
#print(annos["licenses"])
print(annos["images"][0]["file_name"], 
      annos["images"][0]["width"],annos["images"][0]["height"],
      annos["images"][0]["id"])
print(annos["annotations"][0]["image_id"],
      annos["annotations"][0]["bbox"],
      annos["annotations"][0]["category_id"],
      annos["annotations"][0]["id"])
x = annos["annotations"][0]["category_id"]
print(annos["categories"][x]["name"])

 

 二.  Voc 标注数据介绍

 1. xml文件解读:

      如框:即标注对应的图片名称,图片的shape,以及标注的目标的类别和位置.

2. 代码读取xml文件

import  xml.etree.ElementTree  as ET

xml_path = '/home/wtj/Data/Coco2017_pet/annotations/train2017/000000000042.xml'
tree = ET.ElementTree(file = xml_path)
root = tree.getroot() #获取跟节点
print(root)
name = root.find("filename").text
print(name)

for size in root.findall("size"):
    width = size.find("width").text
    height = size.find("height").text
    depth = size.find("depth").text
print(width, height, depth)
for x  in root.findall("object"):
    cate = x.find("name").text
    xmin = x.find("bndbox")[0].text
    ymin = x.find("bndbox")[1].text
    xmax = x.find("bndbox")[2].text
    ymax = x.find("bndbox")[3].text

print(name, cate, xmin, ymin, xmax, ymax)

三.Coco和Voc 数据相互转换

1. json  --->   xml

     未更新完

2. xml ---> json 

import xml.etree.ElementTree as ET
import os
import json
 
coco = dict()
coco['info'] = {"description": "COCO pet Dataset","version": "1.0","year": 2022,"date_created": "2022/3/18"}
coco['licenses']=[{"None":"good good study,day day up @-@"}]
coco['images'] = []
coco['annotations'] = []
coco['categories'] = []
 
category_set = dict()
image_set = set()
 
category_item_id = 0
image_id = 000000
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): 
    for f in os.listdir(xml_path):
        if not f.endswith('.xml'):  #判断字符串是否以指定字符串后缀结尾
            continue    #跳过当前循环,继续进入下一轮循环
        
        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) #每一个xml地址
        print(xml_file)
 
        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(float(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(float(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/wtj/Data/Coco2017_pet/annotations/val2017'
    json_file = './val.json'
    parseXmlFiles(xml_path)
    json_path = open(json_file, 'w')
    json.dump(coco, json_path)
    json_path.close()

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