YOLO V3 训练 pacsal_voc为例

YOLO V3 给出了官方修改xml标注的官方说明，把/home/hzc/Pictures/VOCdevkit/VOC2012/Annotations中标准的xml格式文件修改成.txt 格式文件保存在ｌａｂｅｌｓ文件夹下，读取速度更快，更简洁

标注修改前：

标注修改后：产生了新的ｌａｂｅｌｓ文件夹

ｔｘｔ内容：11代表狗狗的种类，四个数字代表中心的ｘｙ坐标和打框的大小

yolov3结果：好像少了一只狗。。。不要在意这些细节

VOC_Label.py修改文件，注意要修改路径，否则报错。

import xml.etree.ElementTree as ET
import pickle
import os
from os import listdir, getcwd
from os.path import join

# sets = [('2012', 'train'), ('2012', 'val'), ('2007', 'train'), ('2007', 'val'), ('2007', 'test')]

sets = [('2012', 'train'), ]

classes = ["aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"]


def convert(size, box):  # pic_size, get the ratio of the pic
    dw = 1./size[0]
    dh = 1./size[1]
    x = (box[0] + box[1])/2.0
    y = (box[2] + box[3])/2.0
    w = box[1] - box[0]
    h = box[3] - box[2]
　　＃　归一化
　　 x = x*dw
    w = w*dw
    y = y*dh
    h = h*dh
    return (x, y, w, h)

def convert_annotation(year, image_id):
    in_file = open('/home/hzc/Pictures/VOCdevkit/VOC%s/Annotations/%s.xml' % (year, image_id))
    out_file = open('VOCdevkit/VOC%s/labels/%s.txt' % (year, image_id), 'w')
    print('VOCdevkit/VOC%s/labels/%s.txt' % (year, image_id))
    tree = ET.parse(in_file)
    root = tree.getroot()
    size = root.find('size')
    w = int(size.find('width').text)
    h = int(size.find('height').text)

    # 过滤出所有object属性
    for obj in root.iter('object'):
        # test: obj is a string?
        print(obj)

        difficult = obj.find('difficult').text
        cls = obj.find('name').text
        # 不属于voc类别的不考虑
        if cls not in classes or int(difficult) == 1:
            continue
        cls_id = classes.index(cls)
        xmlbox = obj.find('bndbox')
        b = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text), float(xmlbox.find('ymin').text), float(xmlbox.find('ymax').text))
        bb = convert((w, h), b)
        out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')

wd = getcwd()

for year, image_set in sets:
    if not os.path.exists('VOCdevkit/VOC%s/labels/' % (year)):
        os.makedirs('/home/hzc/Pictures/VOCdevkit/VOC%s/labels/' % (year))
    image_ids = open('/home/hzc/Pictures/VOCdevkit/VOC%s/ImageSets/Main/%s.txt' % (year, image_set)).read().strip().split()

    # write the info into a new text
    list_file = open('%s_%s.txt' % (year, image_set), 'w')
    print(list_file)
    for image_id in image_ids:
        list_file.write('%s/VOCdevkit/VOC%s/JPEGImages/%s.jpg\n' % (wd, year, image_id))
        print('%s/VOCdevkit/VOC%s/JPEGImages/%s.jpg\n' % (wd, year, image_id))
        convert_annotation(year, image_id)
    list_file.close()