--- a
+++ b/tools/deployment/publish_model.py
@@ -0,0 +1,47 @@
+# Copyright (c) OpenMMLab. All rights reserved.
+import argparse
+import os
+import platform
+import subprocess
+
+import torch
+
+
+def parse_args():
+    parser = argparse.ArgumentParser(
+        description='Process a checkpoint to be published')
+    parser.add_argument('in_file', help='input checkpoint filename')
+    parser.add_argument('out_file', help='output checkpoint filename')
+    args = parser.parse_args()
+    return args
+
+
+def process_checkpoint(in_file, out_file):
+    checkpoint = torch.load(in_file, map_location='cpu')
+    # remove optimizer for smaller file size
+    if 'optimizer' in checkpoint:
+        del checkpoint['optimizer']
+    # if it is necessary to remove some sensitive data in checkpoint['meta'],
+    # add the code here.
+    torch.save(checkpoint, out_file)
+    if platform.system() == 'Windows':
+        sha = subprocess.check_output(
+            ['certutil', '-hashfile', out_file, 'SHA256'])
+        sha = str(sha).split('\\r\\n')[1]
+    else:
+        sha = subprocess.check_output(['sha256sum', out_file]).decode()
+    if out_file.endswith('.pth'):
+        out_file_name = out_file[:-4]
+    else:
+        out_file_name = out_file
+    final_file = out_file_name + f'-{sha[:8]}.pth'
+    os.rename(out_file, final_file)
+
+
+def main():
+    args = parse_args()
+    process_checkpoint(args.in_file, args.out_file)
+
+
+if __name__ == '__main__':
+    main()