import cv2 as cv import numpy as np import argparse
parser = argparse.ArgumentParser() parser.add_argument('--input', help='Path to image or video. Skip to capture frames from camera') parser.add_argument('--thr', default=0.2, type=float, help='Threshold value for pose parts heat map') parser.add_argument('--width', default=368, type=int, help='Resize input to specific width.') parser.add_argument('--height', default=368, type=int, help='Resize input to specific height.')
args = parser.parse_args()
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"] ]
inWidth = args.width inHeight = args.height
net = cv.dnn.readNetFromTensorflow("graph_opt.pb")
cap = cv.VideoCapture(args.input if args.input else 0)
cv.namedWindow('OpenPose using OpenCV', cv.WINDOW_NORMAL)
while cv.waitKey(1) < 0: hasFrame, frame = cap.read() if not hasFrame: cv.waitKey() break
frameWidth = frame.shape[1] frameHeight = frame.shape[0] net.setInput(cv.dnn.blobFromImage(frame, 1.0, (inWidth, inHeight), (127.5, 127.5, 127.5), swapRB=True, crop=False)) out = net.forward() out = out[:, :19, :, :]
assert(len(BODY_PARTS) == out.shape[1])
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((int(x), int(y)) if conf > args.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]: cv.line(frame, points[idFrom], points[idTo], (0, 255, 0), 3) cv.ellipse(frame, points[idFrom], (3, 3), 0, 0, 360, (0, 0, 255), cv.FILLED) cv.ellipse(frame, points[idTo], (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))
cv.resizeWindow('OpenPose using OpenCV', 1080, 720) cv.imshow('OpenPose using OpenCV', frame)
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