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HandTrackingModule.py
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77 lines (61 loc) · 2.25 KB
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import cv2
import mediapipe as mp
import time
class handDetector():
def __init__(self,mode=False,maxHands=2,detectionCon=0.8,trackCon=0.5):
self.mode=mode
self.maxHands=maxHands
self.detectionCon=detectionCon
self.trackCon=trackCon
self.mpHands=mp.solutions.hands
self.hands = self.mpHands.Hands(
static_image_mode=self.mode,
max_num_hands=self.maxHands,
min_detection_confidence=self.detectionCon,
min_tracking_confidence=self.trackCon
)
self.mpDraw=mp.solutions.drawing_utils
def findHands(self,img, draw=True) :
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
self.results = self.hands.process(imgRGB)
# print(results.multi_hand_landmarks)
if self.results.multi_hand_landmarks:
for handLms in self.results.multi_hand_landmarks:
if draw:
self.mpDraw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS)
return img
def findPostion(self, img, handNo=0, draw=True):
lmList=[]
if self.results.multi_hand_landmarks:
myHands = self.results.multi_hand_landmarks[handNo]
for id, lm in enumerate(myHands.landmark):
# print(id,lm)
h, w, c = img.shape
cx, cy = int(lm.x * w), int(lm.y * h)
lmList.append([id,cx,cy])
if draw:
cv2.circle(img, (cx, cy), 8, (0, 225, 0), cv2.FILLED)
return lmList
def main():
pTime = 0
cTime = 0
cap = cv2.VideoCapture(0)
detector=handDetector()
while True:
success, img = cap.read()
img = cv2.flip(img, 1)
img = detector.findHands(img)
lmList = detector.findPostion(img)
if len(lmList) != 0:
print(lmList)
else:
print("no hands")
cTime = time.time()
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img, f'FPS: {int(fps)}', (10, 70), cv2.FONT_HERSHEY_PLAIN, 1, (0, 255, 0), 2)
cv2.imshow("Image", img)
cv2.waitKey(1)
if __name__=="__main__":
main()