OpenPose 是一种用于实时多人2D姿态估计的开源库,它能够检测人体关键点并计算出骨骼角度。以下是利用OpenPose实现视频中人体骨骼角度计算的基础概念、优势、类型、应用场景以及可能遇到的问题和解决方法。
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()
# 打开视频文件
cap = cv2.VideoCapture('input_video.mp4')
while cap.isOpened():
ret, frame = cap.read()
if not ret:
break
# 处理帧
datum = op.Datum()
datum.cvInputData = frame
opWrapper.emplaceAndPop([datum])
# 获取关键点
keypoints = datum.poseKeypoints
if keypoints is not None:
for person in keypoints:
for i in range(len(person)):
if i+2 < len(person):
# 计算角度(例如,计算肘关节的角度)
x1, y1 = person[i]
x2, y2 = person[i+1]
x3, y3 = person[i+2]
angle = np.arctan2(y3-y2, x3-x2) - np.arctan2(y1-y2, x1-x2)
angle = np.degrees(angle)
print(f"Angle at keypoint {i}: {angle}")
# 显示结果
cv2.imshow('OpenPose Output', datum.cvOutputData)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
通过以上步骤和方法,可以利用OpenPose有效地计算视频中的人体骨骼角度。
领取专属 10元无门槛券
手把手带您无忧上云