【数据集】【YOLO】【目标检测】道路裂缝数据集 5466 张，YOLO/VOC格式标注！

import os
import random

trainval_percent = 0.9
train_percent = 0.9
xmlfilepath = 'data/Annotations'
txtsavepath = 'data/ImageSets'
total_xml = os.listdir(xmlfilepath)

num = len(total_xml)
list = range(num)
tv = int(num * trainval_percent)
tr = int(tv * train_percent)
trainval = random.sample(list, tv)
train = random.sample(trainval, tr)

ftrainval = open('data/ImageSets/trainval.txt', 'w')
ftest = open('data/ImageSets/test.txt', 'w')
ftrain = open('data/ImageSets/train.txt', 'w')
fval = open('data/ImageSets/val.txt', 'w')

for i in list:
    name = total_xml[i][:-4] + '\n'
    if i in trainval:
        ftrainval.write(name)
        if i in train:
            ftrain.write(name)
        else:
            fval.write(name)
    else:
        ftest.write(name)

ftrainval.close()
ftrain.close()
fval.close()
ftest.close()

import xml.etree.ElementTree as ET
import os
from os import getcwd

sets = ['train', 'val', 'test']
classes = ['cracks'] # 根据标签名称填写类别
abs_path = os.getcwd()
print(abs_path)


def convert(size, box):
    dw = 1. / (size[0])
    dh = 1. / (size[1])
    x = (box[0] + box[1]) / 2.0 - 1
    y = (box[2] + box[3]) / 2.0 - 1
    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('data/Annotations/%s.xml' % (image_id), encoding='UTF-8')
    out_file = open('data/labels/%s.txt' % (image_id), 'w')
    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'):
        difficult = obj.find('difficult').text
        cls = obj.find('name').text
        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))
        b1, b2, b3, b4 = b
        # 标注越界修正
        if b2 > w:
            b2 = w
        if b4 > h:
            b4 = h
        b = (b1, b2, b3, b4)
        bb = convert((w, h), b)
        out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')


wd = getcwd()
for image_set in sets:
    if not os.path.exists('data/labels/'):
        os.makedirs('data/labels/')
    image_ids = open('data/ImageSets/%s.txt' % (image_set)).read().strip().split()
    list_file = open('data/%s.txt' % (image_set), 'w')
    for image_id in image_ids:
        list_file.write(abs_path + '/data/images/%s.jpg\n' % (image_id))
        convert_annotation(image_id)
    list_file.close()

train: ../train/images
val: ../valid/images
test: ../test/images

nc: 1
names: ['cracks']

model = YOLO('yolov8s.pt')
results = model.train(data='data.yaml', epochs=200, imgsz=640, batch=16, workers=0)

yolo train data=data.yaml model=yolov8s.pt epochs=200 imgsz=640 batch=16 workers=0 device=0

# 安装torch环境
pip install torch -i https://pypi.tuna.tsinghua.edu.cn/simple
# 安装PySide6依赖项
pip install PySide6 -i https://pypi.tuna.tsinghua.edu.cn/simple
# 安装opencv-python依赖项
pip install opencv-python -i https://pypi.tuna.tsinghua.edu.cn/simple

class MyWindow(QtWidgets.QMainWindow):
    def __init__(self):
        super().__init__()

        self.init_gui()
        self.model = None
        self.timer = QtCore.QTimer()
        self.timer1 = QtCore.QTimer()
        self.cap = None
        self.video = None
        self.file_path = None
        self.base_name = None
        self.timer1.timeout.connect(self.video_show)

    def init_gui(self):
        self.folder_path = "model_file"  # 自定义修改：设置文件夹路径
        self.setFixedSize(1300, 650)
        self.setWindowTitle('目标检测')  # 自定义修改：设置窗口名称
        self.setWindowIcon(QIcon("111.jpg"))  # 自定义修改：设置窗口图标
        central_widget = QtWidgets.QWidget(self)
        self.setCentralWidget(central_widget)
        main_layout = QtWidgets.QVBoxLayout(central_widget)

        # 界面上半部分： 视频框
        topLayout = QtWidgets.QHBoxLayout()
        self.oriVideoLabel = QtWidgets.QLabel(self)
        self.detectlabel = QtWidgets.QLabel(self)
        self.oriVideoLabel.setFixedSize(530, 400)
        self.detectlabel.setFixedSize(530, 400)
        self.oriVideoLabel.setStyleSheet('border: 2px solid #ccc; border-radius: 10px; margin-top:75px;')
        self.detectlabel.setStyleSheet('border: 2px solid #ccc; border-radius: 10px; margin-top: 75px;')
        # 960 540  1920 960
        topLayout.addWidget(self.oriVideoLabel)
        topLayout.addWidget(self.detectlabel)
        main_layout.addLayout(topLayout)