Update test_h5image.py

test_h5image.py

@@ -3,7 +3,7 @@ import cv2
 import tensorflow as tf
 import matplotlib.pyplot as plt
 import numpy as np
-import rasterios
+import rasterio
 
 # Load the HDF5 file using the H5Image class
 print("Loading the HDF5 file.")
@@ -21,7 +21,7 @@ if dset.ndim == 3:
     image = dset[...].transpose(2, 0, 1)  # rasterio expects bands first
 else:
     image = np.array(dset[...], ndmin=3)
-rasterios.open(f"/projects/bbym/nathanj/attentionUnet/infer_results/{map_name}.tif", 'w', driver='GTiff', compress='lzw',
+rasterio.open(f"/projects/bbym/nathanj/attentionUnet/infer_results/{map_name}.tif", 'w', driver='GTiff', compress='lzw',
                 height=image.shape[1], width=image.shape[2], count=image.shape[0], dtype=image.dtype,
                 crs=h5_image.get_crs(map_name, legend), transform=h5_image.get_transform(map_name, legend)).write(image)