Subprocess improvements (#10973)

* Use list-form arguments for subprocess.run calls where possible

Augments #10944

* Deduplicate curl code

* Avoid eval() to parse integer

---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

export.py

@@ -194,8 +194,15 @@ def export_openvino(file, metadata, half, prefix=colorstr('OpenVINO:')):
     LOGGER.info(f'\n{prefix} starting export with openvino {ie.__version__}...')
     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.run(cmd.split(), check=True, env=os.environ)  # export
+    args = [
+        "mo",
+        "--input_model",
+        str(file.with_suffix('.onnx')),
+        "--output_dir",
+        f,
+        "--data_type",
+        ("FP16" if half else "FP32"),]
+    subprocess.run(args, check=True, env=os.environ)  # export
     yaml_save(Path(f) / file.with_suffix('.yaml').name, metadata)  # add metadata.yaml
     return f, None
 
@@ -420,8 +427,15 @@ def export_edgetpu(file, prefix=colorstr('Edge TPU:')):
     f = str(file).replace('.pt', '-int8_edgetpu.tflite')  # Edge TPU model
     f_tfl = str(file).replace('.pt', '-int8.tflite')  # TFLite model
 
-    cmd = f"edgetpu_compiler -s -d -k 10 --out_dir {file.parent} {f_tfl}"
-    subprocess.run(cmd.split(), check=True)
+    subprocess.run([
+        'edgetpu_compiler',
+        '-s',
+        '-d',
+        '-k',
+        '10',
+        '--out_dir',
+        str(file.parent),
+        f_tfl,], check=True)
     return f, None
 
 
@@ -436,11 +450,14 @@ def export_tfjs(file, int8, prefix=colorstr('TensorFlow.js:')):
     f_pb = file.with_suffix('.pb')  # *.pb path
     f_json = f'{f}/model.json'  # *.json path
 
-    int8_export = ' --quantize_uint8 ' if int8 else ''
-
-    cmd = f'tensorflowjs_converter --input_format=tf_frozen_model {int8_export}' \
-          f'--output_node_names=Identity,Identity_1,Identity_2,Identity_3 {f_pb} {f}'
-    subprocess.run(cmd.split())
+    args = [
+        'tensorflowjs_converter',
+        '--input_format=tf_frozen_model',
+        '--quantize_uint8' if int8 else '',
+        '--output_node_names=Identity,Identity_1,Identity_2,Identity_3',
+        str(f_pb),
+        str(f),]
+    subprocess.run([arg for arg in args if arg], check=True)
 
     json = Path(f_json).read_text()
     with open(f_json, 'w') as j:  # sort JSON Identity_* in ascending order