🔧 Crop Bounding Box ( part deux! ) for License Plate

from ultralytics import YOLO
import cv2 
import imutils
import numpy as np
from os import path

baseDir = '/Users/japollock/Projects/TrainHighwayCarDetector/'
inputFilePath = baseDir + 'photos/yolo_licensePlates/licensePlates/IMG_4554_0002.jpg'
inputFileName = path.basename(inputFilePath)
outputPhotosDir = baseDir + 'photos/yolo_licensePlates/croppedPlates/'
model = YOLO(baseDir + 'src/runs/detect/yolov8n_100_16_LP_v27/weights/best.pt')

imageOriginal = cv2.imread(inputFilePath)
imageScaled = imutils.resize(imageOriginal, width=1280)

imgRatio = imageOriginal.shape[1] / imageScaled.shape[1]

results = model.predict(source=imageScaled, imgsz=1280)

if results is not None and len(results) > 0 and results[0].boxes is not None and len(results[0].boxes) > 0:
    box = results[0].boxes[0]
    # bounding box in scaled-down image
    x1Float = box.xyxy[0][0].item()
    x2Float = box.xyxy[0][2].item()
    y1Float = box.xyxy[0][1].item()
    y2Float = box.xyxy[0][3].item()

    # calc bounding box in original (scaled-up) image
    x1 = int(imgRatio * x1Float)
    y1 = int(imgRatio * y1Float)
    x2 = int(imgRatio * x2Float)
    y2 = int(imgRatio * y2Float)

    # cropped
    imageCropped = imageOriginal[y1:y2,x1:x2]

    outputFilePath = outputPhotosDir + inputFileName[0:(len(inputFileName)-4)] + '.jpg'
    cv2.imwrite(outputFilePath, imageCropped)
    print('Wrote ' + outputFilePath)