从网上down了些数据集,是voc格式的,为了训练yolo写了个脚本做转化:
注意修改其中的classes和路径。
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 15 21:56:32 2019
@author: youxinlin
"""
import copy
from lxml.etree import Element, SubElement, tostring, ElementTree
import xml.etree.ElementTree as ET
import pickle
import os
from os import listdir, getcwd
from os.path import join
classes = ["bottle","grass","branch","milk-box","plastic-bag","plastic-garbage","ball","leaf"] #类别
def convert(size, box):
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]
x = x*dw
w = w*dw
y = y*dh
h = h*dh
return (x,y,w,h)
def convert_annotation(image_id):
in_file = open('/Users/youxinlin/Desktop/datasets/dataset-floats/Annotations/%s.xml'%(image_id))
out_file = open('/Users/youxinlin/Desktop/datasets/dataset-floats/%s.txt'%(image_id),'w') #生成txt格式文件
tree=ET.parse(in_file)
root = tree.getroot()
size = root.find('size')
w = int(size.find('width').text)
h = int(size.find('height').text)
for obj in root.iter('object'):
cls = obj.find('name').text
if cls not in classes :
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')
image_ids_train = open('/Users/youxinlin/Desktop/datasets/dataset-floats/ImageSets/Main/test.txt').read().strip().split()#list格式只有000000 000001
#image_ids_val = open('/home/*****/darknet/scripts/VOCdevkit/voc/list').read().strip().split()
list_file_train = open('test.txt', 'w')
#list_file_val = open('val.txt', 'w')
for image_id in image_ids_train:
list_file_train.write('/Users/youxinlin/Desktop/datasets/dataset-floats/%s.jpg\n'%(image_id))
convert_annotation(image_id)
其中,txt可改为train.txt valid.txt等,根据需要自行修改。