Add OpenVINO metadata to export (#7947)

* Write .yaml file when exporting model to openvino

Write .yaml file automatically when exporting model to openvino to be used during inference

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update export.py

* Update export.py

* Load metadata on inference

* Update common.py

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

export.py

@@ -54,6 +54,7 @@ from pathlib import Path
 
 import pandas as pd
 import torch
+import yaml
 from torch.utils.mobile_optimizer import optimize_for_mobile
 
 FILE = Path(__file__).resolve()
@@ -168,7 +169,7 @@ def export_onnx(model, im, file, opset, train, dynamic, simplify, prefix=colorst
         LOGGER.info(f'{prefix} export failure: {e}')
 
 
-def export_openvino(file, half, prefix=colorstr('OpenVINO:')):
+def export_openvino(model, file, half, prefix=colorstr('OpenVINO:')):
     # YOLOv5 OpenVINO export
     try:
         check_requirements(('openvino-dev',))  # requires openvino-dev: https://pypi.org/project/openvino-dev/
@@ -178,7 +179,9 @@ def export_openvino(file, half, prefix=colorstr('OpenVINO:')):
         f = str(file).replace('.pt', f'_openvino_model{os.sep}')
 
         cmd = f"mo --input_model {file.with_suffix('.onnx')} --output_dir {f} --data_type {'FP16' if half else 'FP32'}"
-        subprocess.check_output(cmd.split())
+        subprocess.check_output(cmd.split())  # export
+        with open(Path(f) / 'meta.yaml', 'w') as g:
+            yaml.dump({'stride': int(max(model.stride)), 'names': model.names}, g)  # add metadata.yaml
 
         LOGGER.info(f'{prefix} export success, saved as {f} ({file_size(f):.1f} MB)')
         return f
@@ -520,7 +523,7 @@ def run(
     if onnx or xml:  # OpenVINO requires ONNX
         f[2] = export_onnx(model, im, file, opset, train, dynamic, simplify)
     if xml:  # OpenVINO
-        f[3] = export_openvino(file, half)
+        f[3] = export_openvino(model, file, half)
     if coreml:
         _, f[4] = export_coreml(model, im, file, int8, half)