import cv2
import os

# 配置路径
original_images_parent_dir = "/media/hx/04e879fa-d697-4b02-ac7e-a4148876ebb0/dataset/classdata3/val"  # 含 class0, class1 等
roi_coords_file = "./roi_coordinates/1_rois.txt"  # 你手动标注的唯一一个 ROI 文件
output_parent_dir = "/media/hx/04e879fa-d697-4b02-ac7e-a4148876ebb0/dataset/classdata3/classdata3_cropped"
target_size = 640

os.makedirs(output_parent_dir, exist_ok=True)

def load_global_rois(txt_path):
    """加载全局 ROI 坐标"""
    rois = []
    if not os.path.exists(txt_path):
        print(f"❌ ROI 文件不存在: {txt_path}")
        return rois
    with open(txt_path, 'r') as f:
        for line in f:
            line = line.strip()
            if line:
                try:
                    x, y, w, h = map(int, line.split(','))
                    rois.append((x, y, w, h))
                    print(f"📌 加载 ROI: (x={x}, y={y}, w={w}, h={h})")
                except Exception as e:
                    print(f"⚠️ 无法解析 ROI 行: {line}, 错误: {e}")
    return rois

# 加载全局 ROI
rois = load_global_rois(roi_coords_file)
if len(rois) == 0:
    print("❌ 没有加载到任何有效的 ROI 坐标，程序退出。")
    exit(1)

# 遍历所有子目录和图像
for class_name in os.listdir(original_images_parent_dir):
    class_dir = os.path.join(original_images_parent_dir, class_name)
    if not os.path.isdir(class_dir):
        continue

    # 创建输出类别目录
    output_class_dir = os.path.join(output_parent_dir, class_name)
    os.makedirs(output_class_dir, exist_ok=True)

    print(f"🔄 处理类别: {class_name}")

    for img_file in os.listdir(class_dir):
        if not img_file.lower().endswith(('.jpg', '.jpeg', '.png', '.bmp')):
            continue

        img_path = os.path.join(class_dir, img_file)
        base_name, ext = os.path.splitext(img_file)

        # 读取图像
        img = cv2.imread(img_path)
        if img is None:
            print(f"❌ 无法读取图像: {img_path}")
            continue

        # 对每一个 ROI 进行裁剪
        for i, (x, y, w, h) in enumerate(rois):
            # 检查坐标是否越界
            h_img, w_img = img.shape[:2]
            if x < 0 or y < 0 or x + w > w_img or y + h > h_img:
                print(f"⚠️ ROI 越界，跳过: {x},{y},{w},{h} in {img_path}")
                continue

            roi_img = img[y:y+h, x:x+w]
            if roi_img.size == 0:
                print(f"⚠️ 空 ROI 区域: {x},{y},{w},{h} in {img_path}")
                continue

            # resize
            roi_resized = cv2.resize(roi_img, (target_size, target_size), interpolation=cv2.INTER_AREA)

            # 保存文件名：原名 + _roi0, _roi1...
            suffix = f"_roi{i}" if len(rois) > 1 else ""
            save_filename = f"{base_name}{suffix}{ext}"
            save_path = os.path.join(output_class_dir, save_filename)
            cv2.imwrite(save_path, roi_resized)
            print(f"✅ 保存: {save_path}")

print("🎉 所有图像已根据全局 ROI 裁剪并保存完成！")