Finger Counter Using Hand Tracking Added

BasicPythonScripts/Fingers Counter using Hand Tracking/README.md

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+# Finger-Counter-using-Hand-Tracking-And-Open-cv
+finger counting based on open-cv and hand tracking in real time
+
+the important library :
+- opencv-python
+- mediapipe
+
+the project detects the counting fingers for the right hand and count from (0-7)
+
+# Screenshot
+![](fingerCounting.png)
+
+to run the project execute the fingerCountingProject.py script
+

BasicPythonScripts/Fingers Counter using Hand Tracking/fingerCountingProject.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Sat Apr  3 23:09:19 2021
+
+@author: amine gasa
+"""
+import cv2
+import os
+import time
+import handTrackingModule as htm
+def getNumber(ar):
+    s=""
+    for i in ar:
+       s+=str(ar[i]);
+
+    if(s=="00000"):
+        return (0)
+    elif(s=="01000"):
+        return(1)
+    elif(s=="01100"):
+        return(2) 
+    elif(s=="01110"):
+        return(3)
+    elif(s=="01111"):
+        return(4)
+    elif(s=="11111"):
+        return(5) 
+    elif(s=="01001"):
+        return(6)
+    elif(s=="01011"):
+        return(7)      
+
+wcam,hcam=640,480
+cap=cv2.VideoCapture(0)
+cap.set(3,wcam)
+cap.set(4,hcam)
+pTime=0
+detector = htm.handDetector(detectionCon=0.75)
+while True:
+    success,img=cap.read()
+    img = detector.findHands(img, draw=True )
+    lmList=detector.findPosition(img,draw=False)
+    #print(lmList)
+    tipId=[4,8,12,16,20]
+    if(len(lmList)!=0):
+        fingers=[]
+        #thumb
+        if(lmList[tipId[0]][1]>lmList[tipId[0]-1][1]):
+                fingers.append(1)
+        else :
+                fingers.append(0)
+        #4 fingers
+        for id in range(1,len(tipId)):
+
+            if(lmList[tipId[id]][2]<lmList[tipId[id]-2][2]):
+                fingers.append(1)
+
+            else :
+                fingers.append(0)
+
+
+        cv2.rectangle(img,(20,255),(170,425),(0,255,0),cv2.FILLED)   
+        cv2.putText(img,str(getNumber(fingers)),(45,375),cv2.FONT_HERSHEY_PLAIN,
+                                     10,(255,0,0),20)  
+
+
+
+    cTime=time.time()
+    fps=1/(cTime-pTime)
+    pTime=cTime
+    cv2.putText(img, f'FPS: {int(fps)}',(400,70),cv2.FONT_HERSHEY_COMPLEX,1,(255,255,0),3)
+    cv2.imshow("image",img)
+    if(cv2.waitKey(1) & 0xFF== ord('q')):
+        break
+
+

BasicPythonScripts/Fingers Counter using Hand Tracking/handTrackingModule.py

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+import cv2
+import mediapipe as mp
+import time
+
+
+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.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 findPosition(self, img, handNo=0, draw=True):
+
+        lmList = []
+        if self.results.multi_hand_landmarks:
+            myHand = self.results.multi_hand_landmarks[handNo]
+            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)
+                # print(id, cx, cy)
+                lmList.append([id, cx, cy])
+                if draw:
+                    cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED)
+
+        return lmList
+
+
+def main():
+    pTime = 0
+    cTime = 0
+    cap = cv2.VideoCapture(1)
+    detector = handDetector()
+    while True:
+        success, img = cap.read()
+        img = detector.findHands(img)
+        lmList = detector.findPosition(img)
+        if len(lmList) != 0:
+            print(lmList[4])
+
+        cTime = time.time()
+        fps = 1 / (cTime - pTime)
+        pTime = cTime
+
+        cv2.putText(img, str(int(fps)), (10, 70), cv2.FONT_HERSHEY_PLAIN, 3,
+                    (255, 0, 255), 3)
+
+        cv2.imshow("Image", img)
+        cv2.waitKey(1)
+
+
+if __name__ == "__main__":
+    main()