Bounding Box display

[Brayan532]

implementation of yolov8 in Keras leads to getting the raw data including the bounding boxes. e.g. boxes = [
[1.314, 3.2655, 4.061, 35.858, 1.00], # box with confidence
[3.2099, 19.822, 4.0029, 48.796, 1.00],
[3.5606, 37.578, 4.0002, 53.052, 0.95],
[3.6445, 421.08, 4, 436.6, 0.8], # lower confidence
[3.6519, 428.88, 4, 445.43, 0.75]
]
question: How can we draw this box? I've tried the following approach but didn't work: xmin = int(x_center - width / 2)
ymin = int(y_center - height / 2)
xmax = int(x_center + width / 2)
ymax = int(y_center + height / 2)

# Define top-left and bottom-right points for the rectangle
top_left = (xmin, ymin)
bottom_right = (xmax, ymax)

I'm not sure whether I am calculating right or not?

[glenn-jocher]

@Brayan532 to draw bounding boxes, ensure your coordinates are correct. The format you provided seems to be [x_center, y_center, width, height, confidence]. Your calculations for xmin, ymin, xmax, and ymax look correct. Verify that your drawing function uses these points accurately. If the issue persists, check if the image dimensions and scaling are consistent.