Yolov8_OBB斜框训练自己的数据集手把手教学_yolov8 obb

一、Yolov8环境搭建

1.下载最新的Yolov8-obb代码：

 https://github.com/ultralytics/ultralytics

2.安装配置环境

pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

二、数据集制作

1.标注软件：roLabelImg

roLabelImg是基于labelImg改进的，是用来标注为VOC格式的数据，但是在labelImg的基础上增加了能够使标注的框进行旋转的功能。

2.数据格式转换

在ultralytics-main下新建一个文件夹myData设置如下结构:

其中，train_original和val_original为dota格式的标注文件，labels/train和labels/val为空，在执行完dota2obb步骤后，labels/train和labels/val则保存转换后可训练的obb格式的标注文件。

2.1 roxml2dota

# 文件名称   ：roxml_to_dota.py
# 功能描述   ：把rolabelimg标注的xml文件转换成dota能识别的xml文件，
#             再转换成dota格式的txt文件
#            把旋转框 cx,cy,w,h,angle，或者矩形框cx,cy,w,h,转换成四点坐标x1,y1,x2,y2,x3,y3,x4,y4
import os
import xml.etree.ElementTree as ET
import math
 
cls_list = ['1', 'gj', 'ladder']  #修改为自己的标签
 
 
def edit_xml(xml_file, dotaxml_file):
    """
    修改xml文件
    :param xml_file:xml文件的路径
    :return:
    """
 
    # dxml_file = open(xml_file,encoding='gbk')
    # tree = ET.parse(dxml_file).getroot()
 
    tree = ET.parse(xml_file)
    objs = tree.findall('object')
    for ix, obj in enumerate(objs):
        x0 = ET.Element("x0")  # 创建节点
        y0 = ET.Element("y0")
        x1 = ET.Element("x1")
        y1 = ET.Element("y1")
        x2 = ET.Element("x2")
        y2 = ET.Element("y2")
        x3 = ET.Element("x3")
        y3 = ET.Element("y3")
        # obj_type = obj.find('bndbox')
        # type = obj_type.text
        # print(xml_file)
 
        if (obj.find('robndbox') == None):
            obj_bnd = obj.find('bndbox')
            obj_xmin = obj_bnd.find('xmin')
            obj_ymin = obj_bnd.find('ymin')
            obj_xmax = obj_bnd.find('xmax')
            obj_ymax = obj_bnd.find('ymax')
            # 以防有负值坐标
            xmin = max(float(obj_xmin.text), 0)
            ymin = max(float(obj_ymin.text), 0)
            xmax = max(float(obj_xmax.text), 0)
            ymax = max(float(obj_ymax.text), 0)
            obj_bnd.remove(obj_xmin)  # 删除节点
            obj_bnd.remove(obj_ymin)
            obj_bnd.remove(obj_xmax)
            obj_bnd.remove(obj_ymax)
            x0.text = str(xmin)
            y0.text = str(ymax)
            x1.text = str(xmax)
            y1.text = str(ymax)
            x2.text = str(xmax)
            y2.text = str(ymin)
            x3.text = str(xmin)
            y3.text = str(ymin)
        else:
            obj_bnd = obj.find('robndbox')
            obj_bnd.tag = 'bndbox'  # 修改节点名
            obj_cx = obj_bnd.find('cx')
            obj_cy = obj_bnd.find('cy')
            obj_w = obj_bnd.find('w')
            obj_h = obj_bnd.find('h')
            obj_angle = obj_bnd.find('angle')
            cx = float(obj_cx.text)
            cy = float(obj_cy.text)
            w = float(obj_w.text)
            h = float(obj_h.text)
            angle = float(obj_angle.text)
            obj_bnd.remove(obj_cx)  # 删除节点
            obj_bnd.remove(obj_cy)
            obj_bnd.remove(obj_w)
            obj_bnd.remove(obj_h)
            obj_bnd.remove(obj_angle)
 
            x0.text, y0.text = rotatePoint(cx, cy, cx - w / 2, cy - h / 2, -angle)
            x1.text, y1.text = rotatePoint(cx, cy, cx + w / 2, cy - h / 2, -angle)
            x2.text, y2.text = rotatePoint(cx, cy, cx + w / 2, cy + h / 2, -angle)
            x3.text, y3.text = rotatePoint(cx, cy, cx - w / 2, cy + h / 2, -angle)
 
        # obj.remove(obj_type)  # 删除节点
        obj_bnd.append(x0)  # 新增节点
        obj_bnd.append(y0)
        obj_bnd.append(x1)
        obj_bnd.append(y1)
        obj_bnd.append(x2)
        obj_bnd.append(y2)
        obj_bnd.append(x3)
        obj_bnd.append(y3)
 
        tree.write(dotaxml_file, method='xml', encoding='utf-8')  # 更新xml文件
 
 
# 转换成四点坐标
def rotatePoint(xc, yc, xp, yp, theta):
    xoff = xp - xc;
    yoff = yp - yc;
    cosTheta = math.cos(theta)
    sinTheta = math.sin(theta)
    pResx = cosTheta * xoff + sinTheta * yoff
    pResy = - sinTheta * xoff + cosTheta * yoff
    return str(int(xc + pResx)), str(int(yc + pResy))
 
 
def totxt(xml_path, out_path):
    # 想要生成的txt文件保存的路径，这里可以自己修改
 
    files = os.listdir(xml_path)
    i = 0
    for file in files:
 
        tree = ET.parse(xml_path + os.sep + file)
        root = tree.getroot()
 
        name = file.split('.')[0]
 
        output = out_path + '\\' + name + '.txt'
        file = open(output, 'w')
        i = i + 1
        objs = tree.findall('object')
        for obj in objs:
            cls = obj.find('name').text
            box = obj.find('bndbox')
            x0 = int(float(box.find('x0').text))
            y0 = int(float(box.find('y0').text))
            x1 = int(float(box.find('x1').text))
            y1 = int(float(box.find('y1').text))
            x2 = int(float(box.find('x2').text))
            y2 = int(float(box.find('y2').text))
            x3 = int(float(box.find('x3').text))
            y3 = int(float(box.find('y3').text))
            if x0 < 0:
                x0 = 0
            if x1 < 0:
                x1 = 0
            if x2 < 0:
                x2 = 0
            if x3 < 0:
                x3 = 0
            if y0 < 0:
                y0 = 0
            if y1 < 0:
                y1 = 0
            if y2 < 0:
                y2 = 0
            if y3 < 0:
                y3 = 0
            for cls_index, cls_name in enumerate(cls_list):
                if cls == cls_name:
                    file.write("{} {} {} {} {} {} {} {} {} {}\n".format(x0, y0, x1, y1, x2, y2, x3, y3, cls, cls_index))
        file.close()
        # print(output)
        print(i)
 
 
if __name__ == '__main__':
    # -----**** 第一步：把xml文件统一转换成旋转框的xml文件 ****-----
    roxml_path = r'E:\CodeProject\ultralytics-main-OBB\data_transfor\org_xml'
    dotaxml_path = r'E:\CodeProject\ultralytics-main-OBB\data_transfor\dota_xml'
    out_path = r'E:\CodeProject\ultralytics-main-OBB\data_transfor\dota_txt'
    filelist = os.listdir(roxml_path)
    for file in filelist:
        edit_xml(os.path.join(roxml_path, file), os.path.join(dotaxml_path, file))
 
    # -----**** 第二步：把旋转框xml文件转换成txt格式 ****-----
    totxt(dotaxml_path, out_path)

2.2 dota2obb

import sys
 
sys.path.append('/home/code/wll/code/ultralytics-main-OBB/ultralytics')
 
from ultralytics.data.converter import convert_dota_to_yolo_obb
convert_dota_to_yolo_obb('/home/code/wll/code/ultralytics-main-OBB/myData')
#关于dataobb文件下的目录下面会详细说明

三、配置文件设置

3.1 新建my-dota8-obb.yaml

3.2 修改yolov8-obb.yaml

只需将nc修改为自己的类别数量。

四、训练

4.1 下载预训练权重

4.2 训练

yolo obb train data=/home/code/wll/code/ultralytics-main-OBB/ultralytics/cfg/datasets/my-dota8-obb.yaml model=yolov8s-obb.pt epochs=200 imgsz=640 device=0,1,2,3

五、验证

yolo obb val model=best-obb.pt data=/home/code/wll/code/ultralytics-main-OBB/ultralytics/cfg/datasets/my-dota8-obb.yaml 

六、推理

yolo obb predict model=yolov8n-obb.pt source='https://ultralytics.com/images/bus.jpg'

七、导出为onnx

yolo export model=yolov8n-obb.pt format=onnx

参考博客：

全网首发！Yolov8_obb旋转框训练、测试、推理手把手教学（DOTA1.0数据集map50已达80%）_yolov8 obb-CSDN博客

记录yolov8_obb训练自己的数据集_yolov8 obb训练自己的数据集-CSDN博客