Added additional scripts

Author: seriesscar

Hand-Motion-Detection/hand_motion_recognizer.py

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+import mediapipe as mp
+import cv2
+import numpy as np
+import uuid
+import os
+
+mp_drawing = mp.solutions.drawing_utils
+mp_hands = mp.solutions.hands
+
+cap = cv2.VideoCapture(0)
+
+with mp_hands.Hands(min_detection_confidence=0.8, min_tracking_confidence=0.5) as hands: 
+    while cap.isOpened():
+        ret, frame = cap.read()
+        
+        # BGR 2 RGB
+        image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+        
+        # Flip on horizontal
+        image = cv2.flip(image, 1)
+        
+        # Set flag
+        image.flags.writeable = False
+        
+        # Detections
+        results = hands.process(image)
+        
+        # Set flag to true
+        image.flags.writeable = True
+        
+        # RGB 2 BGR
+        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+        
+        # Detections
+        print(results)
+        
+        # Rendering results
+        if results.multi_hand_landmarks:
+            for num, hand in enumerate(results.multi_hand_landmarks):
+                mp_drawing.draw_landmarks(image, hand, mp_hands.HAND_CONNECTIONS, 
+                                        mp_drawing.DrawingSpec(color=(121, 22, 76), thickness=2, circle_radius=4),
+                                        mp_drawing.DrawingSpec(color=(250, 44, 250), thickness=2, circle_radius=2),
+                                         )
+            
+        
+        cv2.imshow('Hand Tracking', image)
+
+        if cv2.waitKey(10) & 0xFF == ord('q'):
+            break
+
+cap.release()
+cv2.destroyAllWindows()

Hand-Motion-Detection/requirements.txt

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+numpy==1.19.5
+opencv_python==4.5.2.52
+mediapipe==0.8.7.3