YOLOv5 Export Benchmarks (#6613)

* Add benchmarks.py

* Update

* Add requirements

* Updates

* Updates

* Updates

* Updates

* Updates

* Updates

* dataset autodownload from root

* Update

* Redirect to /dev/null

* sudo --help

* Cleanup

* Add exports pd df

* Updates

* Updates

* Updates

* Cleanup

* dir handling fix

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

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

* Cleanup

* Cleanup2

* Cleanup3

* Cleanup model_type

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

export.py

@@ -52,6 +52,7 @@ import time
 import warnings
 from pathlib import Path
 
+import pandas as pd
 import torch
 import torch.nn as nn
 from torch.utils.mobile_optimizer import optimize_for_mobile
@@ -72,6 +73,22 @@ from utils.general import (LOGGER, check_dataset, check_img_size, check_requirem
 from utils.torch_utils import select_device
 
 
+def export_formats():
+    # YOLOv5 export formats
+    x = [['PyTorch', '-', '.pt'],
+         ['TorchScript', 'torchscript', '.torchscript'],
+         ['ONNX', 'onnx', '.onnx'],
+         ['OpenVINO', 'openvino', '_openvino_model'],
+         ['TensorRT', 'engine', '.engine'],
+         ['CoreML', 'coreml', '.mlmodel'],
+         ['TensorFlow SavedModel', 'saved_model', '_saved_model'],
+         ['TensorFlow GraphDef', 'pb', '.pb'],
+         ['TensorFlow Lite', 'tflite', '.tflite'],
+         ['TensorFlow Edge TPU', 'edgetpu', '_edgetpu.tflite'],
+         ['TensorFlow.js', 'tfjs', '_web_model']]
+    return pd.DataFrame(x, columns=['Format', 'Argument', 'Suffix'])
+
+
 def export_torchscript(model, im, file, optimize, prefix=colorstr('TorchScript:')):
     # YOLOv5 TorchScript model export
     try: