Create Handgesture.py

Handgesture.py

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+import cv2
+import mediapipe as mp
+
+mp_drawing = mp.solutions.drawing_utils
+mp_hands = mp.solutions.hands
+handlist = []
+v_4_cx = 0
+v_8_cx = 0
+v_12_cx = 0
+v_16_cx = 0
+v_20_cx = 0
+v_4_cy = 0
+h = 0
+w = 0
+
+cap = cv2.VideoCapture(0)
+with mp_hands.Hands(False, min_detection_confidence=0.5, min_tracking_confidence=0.5) as hands:
+    while cap.isOpened():
+        success, image = cap.read()
+        if not success:
+            print("Ignoring empty camera frame.")
+            # If loading a video, use 'break' instead of 'continue'.
+            continue
+
+        # Flip the image horizontally for a later selfie-view display, and convert
+        # the BGR image to RGB.
+        image = cv2.cvtColor(cv2.flip(image, 1), cv2.COLOR_BGR2RGB)
+        # To improve performance, optionally mark the image as not writeable to
+        # pass by reference.
+        image.flags.writeable = False
+        results = hands.process(image)
+        text = "NA"
+
+        # Draw the hand annotations on the image.
+        image.flags.writeable = True
+        image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+        if results.multi_hand_landmarks:
+            for hand_landmarks in results.multi_hand_landmarks:
+                assert isinstance(hand_landmarks.landmark, object)
+                for id, landmks in enumerate(hand_landmarks.landmark):
+                    # print(id, landmks)
+                    h, w, c = image.shape
+                    #print("windwow")
+                    #print(h)
+                    #print(w)
+                    #print("end")
+                    cx, cy = int(landmks.x * w), int(landmks.y * h)
+                    handlist.append([id, cx, cy])
+                    if id == 4:
+                        v_4_cx = cx
+                        v_4_cy = cy
+                    if id == 8:
+                        v_8_cx = cx
+
+                    if id == 12:
+                        v_12_cx = cx
+
+                    if id == 16:
+                        v_16_cx = cx
+
+                    if id == 20:
+                        v_20_cx = cx
+
+                    if id == 0:
+                        v_0_cx = cx
+                        v_0_cy = cy
+
+                    if v_4_cy > v_0_cy and (v_8_cx - v_12_cx) < 50 and (v_16_cx - v_20_cx) < 50:
+                        text = "Not Good"
+                    if v_4_cy < v_0_cy and (v_8_cx - v_12_cx) < 50 and (v_16_cx - v_20_cx) < 50:
+                        text = "Good"
+                        #print(v_4_cy)
+                        #print(v_0_cy)
+                    # if handlist[4][cx]= handlist[4][cx] :
+                    # cv2.circle(image, (cx, cy), 10, (255, 0, 255), cv2.FILLED)
+                mp_drawing.draw_landmarks(image, hand_landmarks, mp_hands.HAND_CONNECTIONS)
+        cv2.putText(image, text, (50, 120), cv2.FONT_HERSHEY_PLAIN , 2, (255,0,0))
+        cv2.imshow('Thumbsup', image)
+        # print(handlist)
+        if cv2.waitKey(5) & 0xFF == 27:
+            break
+cap.release()