基本原理与实例代码
openpose输出的关键点信息如下图,总共有25个关节点

对应的关节名称如下:

使用的是余弦定理计算角度:

夹角用大写A、B、C表示,边长用小写a、b、c来表示,余弦定理的数学公式如下:


python代码实例:

# keypoints_from_images.pyimport sys
import cv2
import os
from sys import platform
import argparse
import time
import mathdef angle_between_points( p0, p1, p2 ):# 计算角度a = (p1[0]-p0[0])**2 + (p1[1]-p0[1])**2b = (p1[0]-p2[0])**2 + (p1[1]-p2[1])**2c = (p2[0]-p0[0])**2 + (p2[1]-p0[1])**2if a * b == 0:return -1.0 return  math.acos( (a+b-c) / math.sqrt(4*a*b) ) * 180 /math.pidef length_between_points(p0, p1):# 2点之间的距离return math.hypot(p1[0]- p0[0], p1[1]-p0[1])def get_angle_point(human, pos):# 返回各个部位的关键点pnts = []if pos == 'left_elbow':pos_list = (5,6,7)elif pos == 'left_hand':pos_list = (1,5,7)elif pos == 'left_knee':pos_list = (12,13,14)elif pos == 'left_ankle':pos_list = (5,12,14)elif pos == 'right_elbow':pos_list = (2,3,4)elif pos == 'right_hand':pos_list = (1,2,4)elif pos == 'right_knee':pos_list = (9,10,11)elif pos == 'right_ankle':pos_list = (2,9,11)else:print('Unknown  [%s]', pos)return pntsfor i in range(3):if human[pos_list[i]][2] <= 0.1:print('component [%d] incomplete'%(pos_list[i]))return pntspnts.append((int( human[pos_list[i]][0]), int( human[pos_list[i]][1])))return pntsdef angle_left_hand(human):pnts = get_angle_point(human, 'left_hand')if len(pnts) != 3:print('component incomplete')return -1angle = 0if pnts is not None:angle = angle_between_points(pnts[0], pnts[1], pnts[2])print('left hand angle:%f'%(angle))return angledef angle_left_elbow(human):pnts = get_angle_point(human, 'left_elbow')if len(pnts) != 3:print('component incomplete')returnangle = 0if pnts is not None:angle = angle_between_points(pnts[0], pnts[1], pnts[2])print('left elbow angle:%f'%(angle))return angledef angle_left_knee(human):pnts = get_angle_point(human, 'left_knee')if len(pnts) != 3:print('component incomplete')returnangle = 0if pnts is not None:angle = angle_between_points(pnts[0], pnts[1], pnts[2])print('left knee angle:%f'%(angle))return angledef angle_left_ankle(human):pnts = get_angle_point(human, 'left_ankle')if len(pnts) != 3:print('component incomplete')returnangle = 0if pnts is not None:angle = angle_between_points(pnts[0], pnts[1], pnts[2])print('left ankle angle:%f'%(angle))return angledef angle_right_hand(human):pnts = get_angle_point(human, 'right_hand')if len(pnts) != 3:print('component incomplete')returnangle = 0if pnts is not None:angle = angle_between_points(pnts[0], pnts[1], pnts[2])print('right hand angle:%f'%(angle))return angledef angle_right_elbow(human):pnts = get_angle_point(human, 'right_elbow')if len(pnts) != 3:print('component incomplete')returnangle = 0if pnts is not None:angle = angle_between_points(pnts[0], pnts[1], pnts[2])print('right elbow angle:%f'%(angle))return angledef angle_right_knee(human):pnts = get_angle_point(human, 'right_knee')if len(pnts) != 3:print('component incomplete')returnangle = 0if pnts is not None:angle = angle_between_points(pnts[0], pnts[1], pnts[2])print('right knee angle:%f'%(angle))return angledef angle_right_ankle(human):pnts = get_angle_point(human, 'right_ankle')if len(pnts) != 3:print('component incomplete')returnangle = 0if pnts is not None:angle = angle_between_points(pnts[0], pnts[1], pnts[2])print('right ankle angle:%f'%(angle))return angletry:# Import Openpose (Windows/Ubuntu/OSX)dir_path = os.path.dirname(os.path.realpath(__file__))try:# Windows Importif platform == "win32":# Change these variables to point to the correct folder (Release/x64 etc.)sys.path.append(dir_path + '/../../build/python/openpose/Debug');# sys.path.append(dir_path + '/../../build/python/openpose/Debug')# os.environ['PATH']  = os.environ['PATH'] + ';' + dir_path + '/../../build/x64/Debug;' +  dir_path + '/../../bin;'os.environ['PATH']  = os.environ['PATH'] + ';' + dir_path + '/../../build/x64/Debug;' +  dir_path + '/../../build/bin;'import pyopenpose as opelse:# Change these variables to point to the correct folder (Release/x64 etc.)sys.path.append('../../python')# If you run `make install` (default path is `/usr/local/python` for Ubuntu), you can also access the OpenPose/python module from there. This will install OpenPose and the python library at your desired installation path. Ensure that this is in your python path in order to use it.# sys.path.append('/usr/local/python')from openpose import pyopenpose as opexcept 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# Flagsparser = argparse.ArgumentParser()parser.add_argument("--image_dir", default="images", help="Process a directory of images. Read all standard formats (jpg, png, bmp, etc.).")parser.add_argument("--no_display", default=False, help="Enable to disable the visual display.")args = parser.parse_known_args()# Custom Params (refer to include/openpose/flags.hpp for more parameters)params = dict()params["model_folder"] = "../../models/"# Add others in path?for i in range(0, len(args[1])):curr_item = args[1][i]if i != len(args[1])-1: next_item = args[1][i+1]else: next_item = "1"if "--" in curr_item and "--" in next_item:key = curr_item.replace('-','')if key not in params:  params[key] = "1"elif "--" in curr_item and "--" not in next_item:key = curr_item.replace('-','')if key not in params: params[key] = next_item# Starting OpenPoseopWrapper = op.WrapperPython()opWrapper.configure(params)opWrapper.start()# Read frames on directoryimagePaths = op.get_images_on_directory(args[0].image_dir);# Process and display imagesfor imagePath in imagePaths:datum = op.Datum()imageToProcess = cv2.imread(imagePath)datum.cvInputData = imageToProcessopWrapper.emplaceAndPop(op.VectorDatum([datum]))print("Body keypoints: \n" + str(datum.poseKeypoints))human_count = len(datum.poseKeypoints)for i in range(human_count):for j in range(25):print(datum.poseKeypoints[i][j][0])for i in range(human_count):angle_left_hand(datum.poseKeypoints[i] )angle_left_elbow(datum.poseKeypoints[i] )angle_left_knee(datum.poseKeypoints[i] )angle_left_ankle(datum.poseKeypoints[i] )angle_right_hand(datum.poseKeypoints[i] )angle_right_elbow(datum.poseKeypoints[i] )angle_right_knee(datum.poseKeypoints[i] )angle_right_ankle(datum.poseKeypoints[i] )if not args[0].no_display:cv2.imshow("OpenPose 1.7.0 - Tutorial Python API", datum.cvOutputData)cv2.imwrite("{}.jpg".format(time.time()), datum.cvOutputData)key = cv2.waitKey(15)if key == 27: breakexcept Exception as e:print(e)sys.exit(-1)

测试图片,执行代码:

python keypoints_from_images.py --image_dir ..\media

结果

Starting OpenPose Python Wrapper...
Auto-detecting all available GPUs... Detected 1 GPU(s), using 1 of them starting at GPU 0.
left hand angle:72.597296
left elbow angle:105.013366
left knee angle:150.508638
left ankle angle:157.977345
right hand angle:91.741660
right elbow angle:111.680674
right knee angle:154.645155
right ankle angle:174.466738
component [7] incomplete
component incomplete
component [6] incomplete
component incomplete
left knee angle:99.754916
left ankle angle:149.442500
right hand angle:135.324925
right elbow angle:169.808498
component [10] incomplete
component incomplete
component [11] incomplete
component incomplete

以左手为例,它对应的三个关键点是(1, 2, 4),也就是下图中的三根黑线的交点,计算出来的角度如图所示,为72.597296度:

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