update

examples/technical_blogs/tartan_blog/build_and_run_networks.py

@@ -91,7 +91,6 @@ def download_and_convert_model(dir, file_url, destination_file, h5_to_bin_script
     else:
         os.mkdir(path)
         print(f"Directory '{path}' created successfully.")
-    os.chdir(path)
 
     # Check if the file already exists
     if os.path.exists(destination_file):
@@ -111,7 +110,6 @@ def download_and_convert_model(dir, file_url, destination_file, h5_to_bin_script
             print(f"Error downloading file: {e}", file=sys.stderr)
         except subprocess.CalledProcessError as e:
             print(f"Error running h5toBin.py: {e}", file=sys.stderr)
-    os.chdir("..")
 
 
 def prepare_image(img_script_path, input_image):
@@ -150,14 +148,14 @@ def main():
 
     # VGG16
     vgg_url = "https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels.h5"
-    vgg_dest_file = "vgg16_weights_tf_dim_ordering_tf_kernels.h5"
+    vgg_dest_file = os.path.join(vgg_dir, "vgg16_weights_tf_dim_ordering_tf_kernels.h5")
     vgg_h5_to_bin_script = os.path.join(args.SYCL_DNN_source, "samples", "networks", "vgg", "h5toBin.py")
 
     download_and_convert_model(vgg_dir, vgg_url, vgg_dest_file, vgg_h5_to_bin_script)
 
     # Resnet50
     resnet_url = "https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels.h5"
-    resnet_dest_file = "resnet50_weights_tf_dim_ordering_tf_kernels.h5"
+    resnet_dest_file = os.path.join(resnet_dir, "resnet50_weights_tf_dim_ordering_tf_kernels.h5")
     resnet_h5_to_bin_script = os.path.join(args.SYCL_DNN_source, "samples", "networks", "resnet50", "h5toBin.py")
 
     download_and_convert_model(resnet_dir, resnet_url, resnet_dest_file, resnet_h5_to_bin_script)