Added hand tracking algorithm

python/HandTrackingMin.py

@@ -0,0 +1,36 @@
+import cv2
+import mediapipe as mp
+import time
+
+cap = cv2.VideoCapture(0)
+
+mpHands = mp.solutions.hands
+hands = mpHands.Hands()
+mpdraw = mp.solutions.drawing_utils
+pTime = 0
+cTime = 0
+
+while True:
+    succes, img = cap.read()
+    imgRGB=cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+    results = hands.process(imgRGB)
+    #print(results.multi_hand_landmarks)
+
+    if results.multi_hand_landmarks:
+        for handLms in results.multi_hand_landmarks:
+            for id, lm in enumerate(handLms.landmark):
+                print(id, lm)
+                h,w,c = img.shape
+                cx, cy = int(lm.x*w), int(lm.y*h)
+
+
+            mpdraw.draw_landmarks(img, handLms,mpHands.HAND_CONNECTIONS)
+
+    cTime=time.time()
+    fps=1/(cTime-pTime)
+    pTime = cTime
+
+    cv2.putText(img, str(int(fps)) , (10,70), cv2.FONT_HERSHEY_SIMPLEX,3,(255,0,255),2)
+
+    cv2.imshow("Image", img)
+    cv2.waitKey(1)