对结果进行排序并确定关节位置

def quicksort(arr):
    if len(arr) <= 1:
        return arr
    pivot = arr[len(arr) // 2]
    left = [x for x in arr if x < pivot]
    middle = [x for x in arr if x == pivot]
    right = [x for x in arr if x > pivot]
    return quicksort(left) + middle + quicksort(right)

# 使用示例
data = [3, 6, 8, 10, 1, 2, 1]
print(quicksort(data))

import cv2
import numpy as np
from openpose import pyopenpose as op

# 配置OpenPose参数
params = dict()
params["model_folder"] = "path/to/openpose/models/"

# 启动OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()

# 读取图像并进行处理
imageToProcess = cv2.imread("path/to/image.jpg")
datum = op.Datum()
datum.cvInputData = imageToProcess
opWrapper.emplaceAndPop([datum])

# 显示结果
print("Joint positions:", datum.poseKeypoints)
cv2.imshow("OpenPose Output", datum.cvOutputData)
cv2.waitKey(0)