openpose人体骨骼检测

OpenPose是一个基于深度学习的开源库，用于实时多人2D姿态估计。它可以检测人体的关键点，例如鼻子、眼睛、耳朵、肩膀、手肘、手腕、髋部、膝盖和脚踝等。以下是使用OpenPose进行人体骨骼检测的步骤：

1. 安装OpenPose库和依赖项。
2. 准备输入图像或视频。
3. 使用OpenPose库中的函数加载输入图像或视频。
4. 调用OpenPose库中的函数进行人体骨骼检测。
5. 处理检测结果并将其可视化。

以下是一个使用OpenPose进行人体骨骼检测的Python示例代码：

import cv2
import os
import sys
import numpy as np

# 加载OpenPose库
dir_path = os.path.dirname(os.path.realpath(__file__))
try:
    # Windows Import
    if sys.platform == "win32":
        # Change these variables to point to the correct folder (Release/x64 etc.) 
        sys.path.append(dir_path + '/../../python/openpose/Release');
        os.environ['PATH']  = os.environ['PATH'] + ';' + dir_path + '/../../x64/Release;' +  dir_path + '/../../bin;'
        import pyopenpose as op
    else:
        # Change these variables to point to the correct folder (Release/x64 etc.) 
        sys.path.append('../../python');
        from openpose import pyopenpose as op
except ImportError as e:
    print('Error: OpenPose library could not be found. Did you enable `BUILD_PYTHON` in CMake and have this Python script in the right folder?')
    raise e

# 设置OpenPose参数
params = dict()
params["model_folder"] = "../../models/"
params["model_pose"] = "BODY_25"
params["net_resolution"] = "-1x368"
params["number_people_max"] = 1

# 加载图像
image_path = "test.jpg"
image = cv2.imread(image_path)

# 运行OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
datum = op.Datum()
datum.cvInputData = image
opWrapper.emplaceAndPop([datum])

# 处理检测结果
keypoints = datum.poseKeypoints
for i in range(keypoints.shape[0]):
    for j in range(keypoints.shape[1]):
        cv2.circle(image, (int(keypoints[i][j][0]), int(keypoints[i][j][1])), 3, (0, 0, 255), -1)

# 可视化结果
cv2.imshow("OpenPose result", image)
cv2.waitKey(0)
cv2.destroyAllWindows()