--- a
+++ b/dataloaders/la_process.py
@@ -0,0 +1,52 @@
+import os
+import numpy as np
+from tqdm import tqdm
+import h5py
+import nrrd
+
+
+output_size =[112, 112, 80]
+data_path = 'E:/data/LASet/origin'
+out_path = 'E:/data/LASet/data'
+def covert_h5():
+    listt = os.listdir(data_path)
+    for case in tqdm(listt):
+        image, img_header = nrrd.read(os.path.join(data_path,case,'lgemri.nrrd'))
+        label, gt_header = nrrd.read(os.path.join(data_path,case, 'laendo.nrrd'))
+        label = (label == 255).astype(np.uint8)
+        w, h, d = label.shape
+        # 返回label中所有非零区域（分割对象）的索引
+        tempL = np.nonzero(label)
+        # 分别获取非零区域在x,y,z三轴的最小值和最大值，确保裁剪图像包含分割对象
+        minx, maxx = np.min(tempL[0]), np.max(tempL[0])
+        miny, maxy = np.min(tempL[1]), np.max(tempL[1])
+        minz, maxz = np.min(tempL[2]), np.max(tempL[2])
+        # 计算目标尺寸比分割对象多余的尺寸
+        px = max(output_size[0] - (maxx - minx), 0) // 2
+        py = max(output_size[1] - (maxy - miny), 0) // 2
+        pz = max(output_size[2] - (maxz - minz), 0) // 2
+        # 在三个方向上随机扩增
+        minx = max(minx - np.random.randint(10, 20) - px, 0)
+        maxx = min(maxx + np.random.randint(10, 20) + px, w)
+        miny = max(miny - np.random.randint(10, 20) - py, 0)
+        maxy = min(maxy + np.random.randint(10, 20) + py, h)
+        minz = max(minz - np.random.randint(5, 10) - pz, 0)
+        maxz = min(maxz + np.random.randint(5, 10) + pz, d)
+        # 图像归一化，转为32位浮点数（numpy默认是64位）
+        image = (image - np.mean(image)) / np.std(image)
+        image = image.astype(np.float32)
+        # 裁剪
+        image = image[minx:maxx, miny:maxy, minz:maxz]
+        label = label[minx:maxx, miny:maxy, minz:maxz]
+        print(label.shape)
+
+        case_dir = os.path.join(out_path,case)
+        os.mkdir(case_dir)
+        f = h5py.File(os.path.join(case_dir, 'mri_norm2.h5'), 'w')
+        f.create_dataset('image', data=image, compression="gzip")
+        f.create_dataset('label', data=label, compression="gzip")
+        f.close()
+
+
+if __name__ == '__main__':
+    covert_h5()
\ No newline at end of file