Add TorchScript Docs Integrations Page (#8501)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

ultralytics/engine/exporter.py

@@ -48,6 +48,7 @@ TensorFlow.js:
     $ ln -s ../../yolov5/yolov8n_web_model public/yolov8n_web_model
     $ npm start
 """
+
 import json
 import os
 import shutil
@@ -1079,9 +1080,9 @@ class Exporter:
         model = ct.models.MLModel(pipeline.spec, weights_dir=weights_dir)
         model.input_description["image"] = "Input image"
         model.input_description["iouThreshold"] = f"(optional) IOU threshold override (default: {nms.iouThreshold})"
-        model.input_description[
-            "confidenceThreshold"
-        ] = f"(optional) Confidence threshold override (default: {nms.confidenceThreshold})"
+        model.input_description["confidenceThreshold"] = (
+            f"(optional) Confidence threshold override (default: {nms.confidenceThreshold})"
+        )
         model.output_description["confidence"] = 'Boxes × Class confidence (see user-defined metadata "classes")'
         model.output_description["coordinates"] = "Boxes × [x, y, width, height] (relative to image size)"
         LOGGER.info(f"{prefix} pipeline success")

ultralytics/engine/predictor.py

@@ -27,6 +27,7 @@ Usage - formats:
                               yolov8n_edgetpu.tflite     # TensorFlow Edge TPU
                               yolov8n_paddle_model       # PaddlePaddle
 """
+
 import platform
 import threading
 from pathlib import Path

ultralytics/engine/tuner.py

@@ -16,6 +16,7 @@ Example:
     model.tune(data='coco8.yaml', epochs=10, iterations=300, optimizer='AdamW', plots=False, save=False, val=False)
     ```
 """
+
 import random
 import shutil
 import subprocess

ultralytics/engine/validator.py

@@ -18,6 +18,7 @@ Usage - formats:
                           yolov8n_edgetpu.tflite     # TensorFlow Edge TPU
                           yolov8n_paddle_model       # PaddlePaddle
 """
+
 import json
 import time
 from pathlib import Path