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PoseEstimationModule.py
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PoseEstimationModule.py
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import cv2
import mediapipe as mp
import time
class PoseDetector:
def __init__(self, mode=False, complexity=1, smooth=True, detectionCon=0.5, trackCon=0.5):
self.mode = mode
self.complexity = complexity
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(
static_image_mode=self.mode,
model_complexity=self.complexity,
smooth_segmentation=self.smooth,
min_detection_confidence=self.detectionCon,
min_tracking_confidence=self.trackCon
)
def find_pose(self, vid, draw=True):
imgRGB = cv2.cvtColor(vid, cv2.COLOR_BGR2RGB)
self.results = self.pose.process(imgRGB)
if self.results.pose_landmarks:
if draw:
self.mpDraw.draw_landmarks(vid, self.results.pose_landmarks,
self.mpPose.POSE_CONNECTIONS)
return vid
def find_position(self, vid, draw=True, points:list=None):
lmList = []
if self.results.pose_landmarks:
for id, lm in enumerate(self.results.pose_landmarks.landmark):
h, w, c = vid.shape
cx, cy = int(lm.x * w), int(lm.y * h)
lmList.append([id, cx, cy])
if draw:
if len(points) != 0 and points != None and len(lmList) != 0:
for point in points:
cv2.circle(vid, (lmList[point][1], lmList[point][2]),
5, (0, 255, 0), -1)
return lmList
def main():
pTime = 0
cTime = 0
cap = cv2.VideoCapture(0)
detector = PoseDetector()
while True:
success, vid = cap.read()
imgRGB = cv2.cvtColor(vid, cv2.COLOR_BGR2RGB)
vid = detector.find_pose(vid, draw=True)
lmList = detector.find_position(vid, draw=True, points=[14, 13])
print(lmList[13: 15: 1])
# FPS
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(
vid, "FPS: " + str(int(fps)),
(10, 25), cv2.FONT_HERSHEY_SIMPLEX,
1, (0, 255, 255), 2
)
cv2.imshow('Image', vid)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
if __name__ == '__main__':
main()