Today, one of our customer Krishnam Goyal Worked on and shared a nice OpenCV based code to detect hand (fingers) using simple camera module and python code.
This is not a tutorial but just a shared post to congratulate Krishnam for nice work and to encourage to create more such projects.
Its the photo of Krishnam doing the experiment and code
Python Code
import cv2 as cv
import mediapipe as mp
import time
cap = cv.VideoCapture(0)
class handDetector():
def __init__(self, mode = False,maxHands = 2, detectionCon = 0.5, 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(self.mode,self.maxHands,self.detectionCon,self.trackcon)
self.mpDarw = mp.solutions.drawing_utils
def findHands(self,img,draw = True):
imgRgb = cv.cvtColor(img, cv.COLOR_BGR2RGB)
self.results = self.hands.process(imgRgb)
if self.results.multi_hand_landmarks:
for handLms in self.results.multi_hand_landmarks:
if draw:
self.mpDarw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS)
return img
def findposition(self,img,handNo = 0, draw=True):
lmlist = []
myHand = self.results.multi_hand_landmarks[handNo]
if self.results.multi_hand_landmarks:
for id, lm in enumerate(myHand.landmark):
# print(id,lm)
h, w, c = img.shape
cx, cy = int(lm.x * w), int(lm.y * h)
lmlist.append(id, c, cy)
# print(id, cx, cy)
# if id == 4:
# cv.circle(img, (cx, cy), 25, (255, 0, 255), cv.FILLED)'
return lmlist
def main():
Pt = 0
cT = 0
#cap = cv.imread(0)
cap = cv.VideoCapture(0)
detector = handDetector()
while True:
success, img = cap.read()
img = detector.findHands(img)
detector,
cT = time.time()
fps = 1/(cT-Pt)
Pt = cT
cv.putText(img,str(int(fps)),(18, 78), cv.FONT_HERSHEY_COMPLEX,3,(255,0,255))
# if fps >= 20:
# cv.putText(img, str(int(20)), (180, 78), cv.FONT_HERSHEY_COMPLEX, 3, (255, 0, 255))
cv.imshow("Video", img)
cv.waitKey(1)
if (__name__ == "__main__"):
main()
The modules needed to run this code
Feel free to experiment with this code.