# loop over the detections
    for (box, score, label) in zip(boxes[0], scores[0], labels[0]):
        # filter out weak detections
        if score < args["confidence"]:
            continue

        # convert the bounding box coordinates from floats to integers
        box = box.astype("int")

        # Create the row for each prediction in the format:
        # <classname> <confidence> <ymin> <xmin> <ymax> <xmax>
        row = " ".join([LABELS[label], str(score),
                        str(box[1]), str(box[0]), str(box[3]), str(box[2])])
        # Write each row of prediction in the corresponding txt file
        file.write("{}\n".format(row))

    # Close the file
    file.close()