diff --git a/BasicPythonScripts/Fingers Counter using Hand Tracking/README.md b/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
+
+
+to run the project execute the fingerCountingProject.py script
+
diff --git a/BasicPythonScripts/Fingers Counter using Hand Tracking/fingerCounting.png b/BasicPythonScripts/Fingers Counter using Hand Tracking/fingerCounting.png
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diff --git a/BasicPythonScripts/Fingers Counter using Hand Tracking/fingerCountingProject.py b/BasicPythonScripts/Fingers Counter using Hand Tracking/fingerCountingProject.py
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+++ b/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
+
+
diff --git a/BasicPythonScripts/Fingers Counter using Hand Tracking/handTrackingModule.py b/BasicPythonScripts/Fingers Counter using Hand Tracking/handTrackingModule.py
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+++ b/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()
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