ailai_image_point_diff/ailai_pc/trans_cvattoobb.py

# pascal_robndbox_to_yolo_obb.py
import xml.etree.ElementTree as ET
import numpy as np
from pathlib import Path
import argparse

def robndbox_to_yolo_obb(xml_path, output_dir, class_names):
    """
    将单个带有 <robndbox> 的 Pascal VOC XML 转换为 YOLO-OBB 格式 .txt
    """
    try:
        tree = ET.parse(xml_path)
        root = tree.getroot()

        # 获取图像尺寸
        width_elem = root.find("size/width")
        height_elem = root.find("size/height")
        if width_elem is None or height_elem is None:
            print(f"❌ 跳过 {xml_path}: 缺少 size/width 或 size/height")
            return
        img_w = int(width_elem.text)
        img_h = int(height_elem.text)

        if img_w == 0 or img_h == 0:
            print(f"❌ 跳过 {xml_path}: 图像尺寸为 0")
            return

        # 输出文件路径
        label_file = Path(output_dir) / "labels" / (Path(xml_path).stem + ".txt")
        label_file.parent.mkdir(parents=True, exist_ok=True)

        lines = []
        for obj in root.findall("object"):
            name = obj.find("name").text
            if name not in class_names:
                print(f"⚠️ 跳过未知类别: {name} (文件: {xml_path.name})")
                continue
            class_id = class_names.index(name)

            rb = obj.find("robndbox")
            if rb is None:
                print(f"⚠️ 跳过无 robndbox 的对象: {name}")
                continue

            cx = float(rb.find("cx").text)
            cy = float(rb.find("cy").text)
            w = float(rb.find("w").text)
            h = float(rb.find("h").text)
            angle_deg = float(rb.find("angle").text)

            # 计算四个角点（相对于中心旋转）
            angle_rad = np.radians(angle_deg)
            cos_a, sin_a = np.cos(angle_rad), np.sin(angle_rad)

            corners = np.array([
                [-w/2, -h/2],
                [ w/2, -h/2],
                [ w/2,  h/2],
                [-w/2,  h/2]
            ])
            rotation_matrix = np.array([[cos_a, -sin_a], [sin_a, cos_a]])
            rotated_corners = np.dot(corners, rotation_matrix.T) + [cx, cy]

            # 归一化到 [0,1]
            rotated_corners[:, 0] /= img_w
            rotated_corners[:, 1] /= img_h

            # 展平并生成 YOLO-OBB 行
            coords = rotated_corners.flatten()
            line = str(class_id) + " " + " ".join(f"{x:.6f}" for x in coords)
            lines.append(line)

        # 只有存在有效标注才写入文件
        if lines:
            with open(label_file, "w", encoding="utf-8") as f:
                f.write("\n".join(lines) + "\n")
            print(f"✅ 已生成: {label_file}")
        else:
            print(f"🟡 无有效标注，跳过生成: {label_file}")

    except Exception as e:
        print(f"❌ 处理 {xml_path} 时出错: {e}")


def main():
    # ==================== 配置区 ====================
    # ✅ 修改以下路径和类别
    XML_DIR = "/home/hx/开发/ailai_image_obb/ailai_pc/annotations.xml"  # 包含 .xml 文件的目录
    OUTPUT_DIR = "yolo_obb_dataset"             # 输出目录
    CLASS_NAMES = ["ban", "bag"]                # 你的类别列表，顺序即 class_id
    # ==============================================

    xml_dir = Path(XML_DIR)
    output_dir = Path(OUTPUT_DIR)

    if not xml_dir.exists():
        raise FileNotFoundError(f"未找到 XML 目录: {xml_dir}")

    # 查找所有 .xml 文件
    xml_files = list(xml_dir.glob("*.xml"))
    if not xml_files:
        print(f"⚠️ 在 {xml_dir} 中未找到 .xml 文件")
        return

    print(f"🔍 找到 {len(xml_files)} 个 XML 文件")
    print(f"📦 类别映射: { {i: name for i, name in enumerate(CLASS_NAMES)} }")

    # 批量转换
    for xml_file in xml_files:
        robndbox_to_yolo_obb(xml_file, output_dir, CLASS_NAMES)

    print(f"\n🎉 转换完成！标签已保存至: {output_dir / 'labels'}")


if __name__ == "__main__":
    main()