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PoseModule.py
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from cv2 import cv2
import mediapipe as mp
import numpy as np
import time
import math
class poseDetector():
def __init__(self, mode=False, upBody = False, smooth = True,
detectionCon = 0.5, trackCon = 0.5):
self.mode = mode
self.upBody = upBody
self.smooth = smooth
self.detectionCon = detectionCon
self.trackCon = trackCon
self.mpDraw = mp.solutions.drawing_utils
self.mpPose = mp.solutions.pose
self.pose = self.mpPose.Pose(self.mode, self.upBody, self.smooth,
self.detectionCon, self.trackCon)
def findPose(self, img, draw = True):
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
self.results = self.pose.process(imgRGB)
#print(results.pose_landmarks)
if self.results.pose_landmarks:
if draw:
self.mpDraw.draw_landmarks(img, self.results.pose_landmarks,
self.mpPose.POSE_CONNECTIONS)
return img
def getPosition(self, img, draw=True):
lmList = []
if self.results.pose_landmarks:
for id, lm in enumerate(self.results.pose_landmarks.landmark):
h,w,c = img.shape
#print(id,lm)
cx, cy = int(lm.x*w), int(lm.y*h)
lmList.append([id,cx,cy])
if draw:
cv2.circle(img, (cx,cy),5, (255,8,8), cv2.FILLED)
return lmList
def main():
cap = cv2.VideoCapture(0)
ptime = 0
detector = poseDetector()
while True:
success, img = cap.read()
detector.findPose(img)
lmList = detector.getPosition(img,draw=False)
print(lmList[0])
cv2.circle(img, (lmList[0][1],lmList[0][2]),15, (0,0,255), cv2.FILLED)
ctime = time.time()
fps = 1/(ctime-ptime)
ptime = ctime
cv2.putText(img, str(int(fps)),(78,58), cv2.FONT_HERSHEY_PLAIN, 3,(255,8,8),3)
cv2.imshow("image", img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
if __name__ == "__main__":
main()