voc定位数据xml转coco数据集格式json

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代码里面集合了python处理xml的精髓

## 1. voc定位数据xml转coco数据集格式json

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 = 0
image_id = 20180000000
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'):
            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)

        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 , , , 
        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  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 , , , , 
            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 , , , , when subelem is 
                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  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 = '/media/data_2/everyday/0709/maskrcnn/data/ret/xml_test'
    json_file = './instances_test.json'
    parseXmlFiles(xml_path)
    json.dump(coco, open(json_file, 'w')) 
  

我自己xml数据示例:


   VOC2007
   mingpai_104.jpg
   
       The VOC2007 Database
       PASCAL VOC2007
       flickr
       329145082
   
   >
       hiromori2
       Hiroyuki Mori
   >
   
       997
       1000
       3
   
   0
   
       ZhiZaoNianYue
       Unspecified
       0
       0
       
           444
           679
           575
           720
       
   
   
       FDJ_PaiL
       Unspecified
       0
       0
       
           747
           545
           806
           586
       
   
   
       FDJ_Hao
       Unspecified
       0
       0
       
           448
           536
           562
           576
       
   
   
       CJHao
       Unspecified
       0
       0
       
           445
           364
           724
           432
       
   

生成的coco json格式示例:

{
  "images": [
    {
      "file_name": "mingpai_1083.jpg",
      "height": 747,
      "id": 20180000001,
      "width": 843
    },
    {
      "file_name": "mingpai_1079.jpg",
      "height": 544,
      "id": 20180000002,
      "width": 826
    }
  ],
  "type": "instances",
  "annotations": [
    {
      "segmentation": [
        [
          526,
          315,
          526,
          356,
          701,
          356,
          701,
          315
        ]
      ],
      "area": 7175,
      "iscrowd": 0,
      "ignore": 0,
      "image_id": 20180000001,
      "bbox": [
        526,
        315,
        175,
        41
      ],
      "category_id": 1,
      "id": 1
    },
    {
      "segmentation": [
        [
          580,
          286,
          580,
          320,
          702,
          320,
          702,
          286
        ]
      ],
      "area": 4148,
      "iscrowd": 0,
      "ignore": 0,
      "image_id": 20180000001,
      "bbox": [
        580,
        286,
        122,
        34
      ],
      "category_id": 2,
      "id": 2
    },
    {
      "segmentation": [
        [
          299,
          292,
          299,
          331,
          384,
          331,
          384,
          292
        ]
      ],
      "area": 3315,
      "iscrowd": 0,
      "ignore": 0,
      "image_id": 20180000001,
      "bbox": [
        299,
        292,
        85,
        39
      ],
      "category_id": 3,
      "id": 3
    },
    {
      "segmentation": [
        [
          292,
          256,
          292,
          292,
          683,
          292,
          683,
          256
        ]
      ],
      "area": 14076,
      "iscrowd": 0,
      "ignore": 0,
      "image_id": 20180000001,
      "bbox": [
        292,
        256,
        391,
        36
      ],
      "category_id": 4,
      "id": 4
    },
    {
      "segmentation": [
        [
          171,
          335,
          171,
          377,
          318,
          377,
          318,
          335
        ]
      ],
      "area": 6174,
      "iscrowd": 0,
      "ignore": 0,
      "image_id": 20180000002,
      "bbox": [
        171,
        335,
        147,
        42
      ],
      "category_id": 1,
      "id": 5
    },
    {
      "segmentation": [
        [
          622,
          400,
          622,
          444,
          733,
          444,
          733,
          400
        ]
      ],
      "area": 4884,
      "iscrowd": 0,
      "ignore": 0,
      "image_id": 20180000002,
      "bbox": [
        622,
        400,
        111,
        44
      ],
      "category_id": 2,
      "id": 6
    },
    {
      "segmentation": [
        [
          188,
          385,
          188,
          418,
          273,
          418,
          273,
          385
        ]
      ],
      "area": 2805,
      "iscrowd": 0,
      "ignore": 0,
      "image_id": 20180000002,
      "bbox": [
        188,
        385,
        85,
        33
      ],
      "category_id": 3,
      "id": 7
    },
    {
      "segmentation": [
        [
          196,
          258,
          196,
          327,
          725,
          327,
          725,
          258
        ]
      ],
      "area": 36501,
      "iscrowd": 0,
      "ignore": 0,
      "image_id": 20180000002,
      "bbox": [
        196,
        258,
        529,
        69
      ],
      "category_id": 4,
      "id": 8
    }
  ],
  "categories": [
    {
      "supercategory": "none",
      "id": 1,
      "name": "ZhiZaoNianYue"
    },
    {
      "supercategory": "none",
      "id": 2,
      "name": "FDJ_PaiL"
    },
    {
      "supercategory": "none",
      "id": 3,
      "name": "FDJ_Hao"
    },
    {
      "supercategory": "none",
      "id": 4,
      "name": "CJHao"
    }
  ]
}
import xml.etree.ElementTree as ET
import os
import json
xml_dir = "/media/data_1/bigdata_tmp/20190820chejiahao/deal/1_xml/"

def xml2txt(txt_dir,xml_name):
    xml_file = xml_dir + xml_name
    tree = ET.parse(xml_file)
    root = tree.getroot() #annotation
    print (root.tag)

    bndbox = dict()
    bndbox['xmin'] = None
    bndbox['xmax'] = None
    bndbox['ymin'] = None
    bndbox['ymax'] = None
    for elem in root: #folder filename source owner size segmented object
        if "object" == elem.tag:
            for sub_elem in elem:
                if 'bndbox' == sub_elem.tag:
                    for x_y_sub_elem in sub_elem:
                        bndbox[x_y_sub_elem.tag] = int(x_y_sub_elem.text)

    tl_x = bndbox['xmin']
    tl_y = bndbox['ymin']

    tr_x = bndbox['xmax']
    tr_y = bndbox['ymin']

    bl_x = bndbox['xmin']
    bl_y = bndbox['ymax']

    br_x = bndbox['xmax']
    br_y = bndbox['ymax']

    with open(txt_dir + xml_name.replace('.xml','.txt'),'w') as f:
        f.write(str(tl_x))
        f.write(',')
        f.write(str(tl_y))
        f.write(',')

        f.write(str(tr_x))
        f.write(',')
        f.write(str(tr_y))
        f.write(',')

        f.write(str(br_x))
        f.write(',')
        f.write(str(br_y))
        f.write(',')

        f.write(str(bl_x))
        f.write(',')
        f.write(str(bl_y))
        f.write('\n')



txt_dir = os.path.dirname(os.path.dirname(xml_dir)) + '/txt/'
if not os.path.exists(txt_dir):
    os.makedirs(txt_dir)

list_xml = os.listdir(xml_dir)
for cnt,xml_name in enumerate(list_xml):
    print("cnt=%d,xml=%s"%(cnt,xml_name))
    xml2txt(txt_dir, xml_name)


 

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