import cv2
import time
import PoseModule as pm
cap = cv2.VideoCapture('videos/a.mp4')
pTime = 0
detector = pm.PoseDetector()
while True:
success, img = cap.read()
img = detector.findPose(img)
lmList = detector.getPosition(img)
print(lmList)
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img, str(int(fps)), (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 3)
cv2.imshow("Image", img)
cv2.waitKey(1)
import cv2
import numpy as np
import time
import PoseModule as pm
cap = cv2.VideoCapture("AiTrainer/joseph.mov")
detector = pm.poseDetector()
left_count = 0
left_dir = 0
right_count = 0
right_dir = 0
pTime = 0
while True:
success, img = cap.read()
img = cv2.resize(img, (1280, 720))
# img = cv2.imread("AiTrainer/test.jpg")
img = detector.findPose(img, True)
lmList = detector.findPosition(img, True)
if len(lmList) != 0:
# Right Arm
right_angle = detector.findAngle(img, 12, 14, 16)
right_per = 100 - np.interp(right_angle, (100, 160), (0, 100))
right_bar = np.interp(right_angle, (100, 160), (100, 650))
# Left Arm
left_angle = detector.findAngle(img, 11, 13, 15)
left_per = np.interp(left_angle, (195, 250), (0, 100))
left_bar = np.interp(left_angle, (195, 250), (650, 100))
# print(angle, per)
import cv2
import time
import PoseModule as pm
cap = cv2.VideoCapture(0)
pTime = 0
detector = pm.poseDetection()
while True:
success, img = cap.read()
img = detector.findPose(img)
lmList = detector.findPosition(img, draw=False)
if len(lmList) != 0:
print(lmList[14])
cv2.circle(img, (lmList[14][1], lmList[14][2]), 15, (150, 0, 0),
cv2.FILLED)
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img, str(int(fps)), (70, 58), cv2.FONT_HERSHEY_COMPLEX_SMALL,
3, (0, 255, 0), 2)
cv2.imshow("img", img)
cv2.waitKey(1)