[Python] Using Yolo bounding box yxyx values, how can I obtain/define the induvial values to...

Thank you in advance for your kind assistance.

I would like the defined and separate the induvial values of Yolo bounding box yxyx results.

Here is what i have so far:

from pyautogui import *
from ultralytics import YOLO

model = YOLO('Best.pt') # Load model

results = model.predict('savedimage.png', conf=0.45)

for result in results:
boxes = result.boxes # Boxes object for bounding box outputs
masks = result.masks # Masks object for segmentation masks outputs
keypoints = result.keypoints # Keypoints object for pose outputs
probs = result.probs # Probs object for classification outputs
obb = result.obb # Oriented boxes object for OBB outputs

origShapeH = boxes.orig_shape\[0\]
origShapeW = boxes.orig_shape\[1\]

print(boxes.xyxy)
print("Height: ", origShapeH)
print("Width: ", origShapeW)


results from above code:

tensor([[1169.7236, 265.5889, 1392.5630, 499.6911]])
Height: 900
Width: 1600


However I would like to have the following results:

x1 = 1169.7236
y1 = 265.5889
x2 = 1392.5630
y2 = 499.6911

Height: 900
Width: 1600


Please let me know if you have any questions.

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