Add sample script to run train

macros/run_train.py

@@ -0,0 +1,46 @@
+from ultralytics import YOLO
+import matplotlib
+matplotlib.use('TKAgg')
+import matplotlib.pyplot as plt
+
+
+###########################
+##    MODEL LOAD
+##########################
+# Load a model
+model = YOLO("yolov8l.yaml")  # build a new model from scratch
+###model = YOLO("runs/detect/train/weights/last.pt")  # build a new model from scratch
+
+##########################
+##  TRAIN MODEL
+##########################
+# Use the model
+dataset= "dataset.yaml"
+
+model.train(
+  data=dataset,
+  epochs=300,
+  ##resume=True,
+  ##batch=-1,
+  batch=16,
+  imgsz=640,
+  device=[0,1,2,3],
+  workers=4,
+  pretrained=False,
+  optimizer='auto',
+  val=True,
+  plots=True,
+  ## AUGMENTATION OPTIONS
+  erasing=0,
+  mosaic=0,
+  hsv_h=0,
+  hsv_s=0,
+  hsv_v=0,
+  translate=0,
+  degrees=180, #random rotation-180 180
+  flipud=0.5, # random lr flipping
+  fliplr=0.5, # random lr flipping
+  scale=0.89, #scaling between 400x400, 850*850
+  crop_fraction=1.0, #random cropping, bounds not specified in paper
+)  # train the model
+