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PosEstimationModule.py
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89 lines (75 loc) · 3.03 KB
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import cv2
import mediapipe as mp
import time
import math
class poseDetector():
def __init__(self, mode=False, smooth=True, detectionCon=0.5, trackCon=0.5):
self.mode = mode
self.smooth = smooth
self.detectionCon = detectionCon
self.trackCon = trackCon
self.pTime = 0
self.mpDraw = mp.solutions.drawing_utils
self.mpPose = mp.solutions.pose
self.pose = self.mpPose.Pose(static_image_mode=self.mode,
smooth_landmarks=self.smooth,
min_detection_confidence=self.detectionCon,
min_tracking_confidence=self.trackCon)
def findPose(self, img, draw=True):
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
self.results = self.pose.process(imgRGB)
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):
self.lmList = []
if self.results.pose_landmarks:
for id, lm in enumerate(self.results.pose_landmarks.landmark):
h, w, c = img.shape
cx, cy = int(lm.x * w), int(lm.y * h)
self.lmList.append([id, cx, cy])
return self.lmList
def showFps(self, img):
cTime = time.time()
print(cTime, self.pTime)
fbs = 1 / (cTime - self.pTime)
self.pTime = cTime
cv2.putText(img, str(int(fbs)), (70, 80), cv2.FONT_HERSHEY_PLAIN, 3,
(255, 0, 0), 3)
def findAngle(self, img, p1, p2, p3, draw=True):
# Get the landmark
x1, y1 = self.lmList[p1][1:]
x2, y2 = self.lmList[p2][1:]
x3, y3 = self.lmList[p3][1:]
# Calculate the angle
angle = math.degrees(math.atan2(y3 - y2, x3 - x2) - math.atan2(y1 - y2, x1 - x2))
# some time this angle comes zero, so below conditon we added
if angle < 0:
angle += 360
# Draw
if draw:
cv2.line(img, (x1, y1), (x2, y2), (255, 255, 255), 3)
cv2.line(img, (x3, y3), (x2, y2), (255, 255, 255), 3)
cv2.circle(img, (x1, y1), 10, (0, 0, 255), cv2.FILLED)
cv2.circle(img, (x1, y1), 15, (0, 0, 255), 1)
cv2.circle(img, (x2, y2), 10, (0, 0, 255), cv2.FILLED)
cv2.circle(img, (x2, y2), 15, (0, 0, 255), 1)
cv2.circle(img, (x3, y3), 10, (0, 0, 255), cv2.FILLED)
cv2.circle(img, (x3, y3), 15, (0, 0, 255), 1)
# cv2.putText(img, str(int(angle)), (x2 - 20, y2 + 50), cv2.FONT_HERSHEY_SIMPLEX,
# 1, (0, 0, 255), 2)
return angle
def main():
detector = poseDetector()
cap = cv2.VideoCapture(0)
while True:
success, img = cap.read()
img = detector.findPose(img)
lmList = detector.getPosition(img)
# print(lmList)
detector.showFps(img)
cv2.imshow("Image", img)
cv2.waitKey(1)
if __name__ == "__main__":
main()