Anaconda下使用opencv调用openpose以训练好的模型

Anaconda下使用opencv调用openpose以训练好的模型

写在前面的话

使用openpose做姿态估计是一种比较常见的方法，但如何使用python进行开发对于新手来说并不容易。下面是一种简单的直接调用openpose模型的方法。并不涉及到openpose的安装。

安装opencv

Anaconda下opencv的安装

使用opencv调用openpose的模型

文件
模型文件：pose_iter_440000.caffemodel

.protxt文件：https://github.com/opencv/opencv_extra，下载后，找到dnn文件夹，在内部有很多.protxt文件，都是opencv自带的。

文件下载可前往原文章下载。

openpose的其他模型文件前往openpose官网下载openpose即可。

打开spyder，复制粘贴以下代码（汉字部分需要自己改动)

import cv2 as cv
import numpy as np


dataset = 'MPI'
if dataset == 'COCO':
    BODY_PARTS = { "Nose": 0, "Neck": 1, "RShoulder": 2, "RElbow": 3, "RWrist": 4,
                   "LShoulder": 5, "LElbow": 6, "LWrist": 7, "RHip": 8, "RKnee": 9,
                   "RAnkle": 10, "LHip": 11, "LKnee": 12, "LAnkle": 13, "REye": 14,
                   "LEye": 15, "REar": 16, "LEar": 17, "Background": 18 }
     
     POSE_PAIRS = [ ["Neck", "RShoulder"], ["Neck", "LShoulder"], ["RShoulder", "RElbow"],
                   ["RElbow", "RWrist"], ["LShoulder", "LElbow"], ["LElbow", "LWrist"],
                   ["Neck", "RHip"], ["RHip", "RKnee"], ["RKnee", "RAnkle"], ["Neck", "LHip"],
                   ["LHip", "LKnee"], ["LKnee", "LAnkle"], ["Neck", "Nose"], ["Nose", "REye"],
                   ["REye", "REar"], ["Nose", "LEye"], ["LEye", "LEar"] ]

else:
    assert(dataset == 'MPI')
    BODY_PARTS = { "Head": 0, "Neck": 1, "RShoulder": 2, "RElbow": 3, "RWrist": 4,
                   "LShoulder": 5, "LElbow": 6, "LWrist": 7, "RHip": 8, "RKnee": 9,
                   "RAnkle": 10, "LHip": 11, "LKnee": 12, "LAnkle": 13, "Chest": 14,
                   "Background": 15 }
    POSE_PAIRS = [ ["Head", "Neck"], ["Neck", "RShoulder"], ["RShoulder", "RElbow"],
                   ["RElbow", "RWrist"], ["Neck", "LShoulder"], ["LShoulder", "LElbow"],
                   ["LElbow", "LWrist"], ["Neck", "Chest"], ["Chest", "RHip"], ["RHip", "RKnee"],
                   ["RKnee", "RAnkle"], ["Chest", "LHip"], ["LHip", "LKnee"], ["LKnee", "LAnkle"] ]

inWidth = 368
inHeight = 368
thr = 0.1
protoc = "prototxt文件的地址路径/opencv_extra-master/testdata/dnn/openpose_pose_coco.prototxt"
model = "openpose模型的地址路径/pose_iter_440000.caffemodel"
net = cv.dnn.readNetFromCaffe(protoc, model)

cap = cv.VideoCapture(0)
height = cap.get(cv.CAP_PROP_FRAME_HEIGHT)
width = cap.get(cv.CAP_PROP_FRAME_WIDTH)
video_writer = cv.VideoWriter("D:/pose_estimation_demo.mp4", cv.VideoWriter_fourcc('D', 'I', 'V', 'X'), 15, (640, 480), True)
while cv.waitKey(1) < 0:
    hasFrame, frame = cap.read()
    if not hasFrame:
        cv.waitKey()
        break

    frameWidth = frame.shape[1]
    frameHeight = frame.shape[0]
    inp = cv.dnn.blobFromImage(frame, 1.0 / 255, (inWidth, inHeight),
                              (0, 0, 0), swapRB=False, crop=False)

    net.setInput(inp)
    out = net.forward()

    print(len(BODY_PARTS), out.shape[0])

    points = []
    for i in range(len(BODY_PARTS)):
        heatMap = out[0, i, :, :]	
   
        _, conf, _, point = cv.minMaxLoc(heatMap)
        x = (frameWidth * point[0]) / out.shape[3]
        y = (frameHeight * point[1]) / out.shape[2]

        points.append((x, y) if conf > thr else None)

    for pair in POSE_PAIRS:
        partFrom = pair[0]
        partTo = pair[1]
        assert(partFrom in BODY_PARTS)
        assert(partTo in BODY_PARTS)
   
    idFrom = BODY_PARTS[partFrom]
        idTo = BODY_PARTS[partTo]
        if points[idFrom] and points[idTo]:
            x1, y1 = points[idFrom]
            x2, y2 = points[idTo]
            cv.line(frame, (np.int32(x1), np.int32(y1)), (np.int32(x2), np.int32(y2)), (0, 255, 0), 3)
            cv.ellipse(frame, (np.int32(x1), np.int32(y1)), (3, 3), 0, 0, 360, (0, 0, 255), cv.FILLED)
            cv.ellipse(frame, (np.int32(x2), np.int32(y2)), (3, 3), 0, 0, 360, (0, 0, 255), cv.FILLED)

    t, _ = net.getPerfProfile()
    freq = cv.getTickFrequency() / 1000
    cv.putText(frame, '%.2fms' % (t / freq), (10, 20), cv.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 0))
    # video_writer.write(frame);
    # cv.imwrite("D:/pose.png", frame)
    cv.imshow('OpenPose using OpenCV', frame)

     

文章参考https://blog.csdn.net/qq_29462849/article/details/85339694#commentsedit

代码复制过程中可能出错，如若出错，可复制原文章代码，改动相同部分即可。

以上.