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FingerCounter.py

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+import cv2
+import time
+import os
+import HandTrackingModule as htm
+
+
+
+wCam, hCam = 640, 480
+
+
+cap = cv2.VideoCapture(0)
+cap.set(3, wCam)
+cap.set(4, hCam)
+folderPath = "FingerImages"
+myList = os.listdir(folderPath)
+print(myList)
+
+overlayList = []
+for imPath in myList:
+    image = cv2.imread(f'{folderPath}/{imPath}')
+    #print((f'{folderPath}/{imPath}'))
+    overlayList.append(image)
+
+#print(len(overlayList))
+
+pTime = 0
+detector = htm.handDetector(detectionCon=0.75)
+
+tipIds = [4,8,12,16,20]
+
+while True:
+    success, img = cap.read()
+    img = detector.findHands(img)
+
+    lmList = detector.findPosition(img, draw= False)
+
+
+    if len(lmList) != 0:
+        fingers = []
+
+        if lmList[tipIds[0]][1] > lmList[tipIds[0] - 1][1]:
+            fingers.append(1)
+        else:
+            fingers.append(0)
+
+        for id in range(1,5):
+            if lmList[tipIds[id]][2] < lmList[tipIds[id]- 2][2]:
+                fingers.append(1)
+            else:
+                fingers.append(0)
+        #print(fingers)
+        totalFingers = fingers.count(1)
+        #print(totalFingers-1)
+
+        h, w, c = overlayList[totalFingers-1].shape
+        img[0:h, 0:w] = overlayList[totalFingers-1]
+        cv2.rectangle(img, (20, 225), (170, 425), (255, 255, 255), cv2.FILLED)
+        cv2.putText(img, str(totalFingers), (45, 375), cv2.FONT_HERSHEY_PLAIN,
+                    10, (226, 183, 137), 25)
+    cTime = time.time()
+    fps = 1 / (cTime - pTime)
+    pTime = cTime
+
+    cv2.putText(img, f'FPS: {int(fps)}', (400, 70), cv2.FONT_HERSHEY_PLAIN,
+                3, (255, 0, 0), 3)
+
+
+
+
+
+    cv2.imshow("Image", img)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break

HandTrackingMin.py

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+import cv2
+import mediapipe as mp
+import time
+
+cap = cv2.VideoCapture(0)
+
+mpHands = mp.solutions.hands
+hands = mpHands.Hands(max_num_hands=4)
+mpDraw = mp.solutions.drawing_utils
+
+cTime = 0
+pTime = 0
+
+while True:
+    success, 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):
+
+                h, w, c = img.shape
+                cx,  cy = int(lm.x*w), int(lm.y*h)
+                print(id, cx, cy)
+                # if id == 4:
+                cv2.circle(img, (cx, cy), 7, (255,0,255),  cv2.FILLED)
+
+            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_PLAIN,3,
+                (255,0,255), 3)
+
+
+
+    cv2.imshow("Image", img)
+
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+
+
+

HandTrackingModule.py

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+import cv2
+import mediapipe as mp
+import time
+class handDetector():
+    def __init__(self, mode=False, maxHands=2, modelComplex=1, detectionCon=0.5, trackCon=0.5):
+        self.mode = mode
+        self.maxHands = maxHands
+        self.modelComplex = modelComplex
+        self.detectionCon = detectionCon
+        self.trackCon = trackCon
+        self.mpHands = mp.solutions.hands
+        self.hands = self.mpHands.Hands(self.mode, self.maxHands, self.modelComplex, 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(0)
+    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)
+        if cv2.waitKey(1) & 0xFF == ord('q'):
+            break
+if __name__ == "__main__":
+    main()

VolPrac.py

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+import cv2
+import time
+import numpy as np
+import HandTrackingModule as htm
+import math
+from ctypes import cast, POINTER
+from comtypes import CLSCTX_ALL
+from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume
+
+
+
+
+wCam, hCam = 640, 480
+################################
+cap = cv2.VideoCapture(0)
+cap.set(3, wCam)
+cap.set(4, hCam)
+pTime = 0
+detector = htm.handDetector(detectionCon=0.7)
+
+
+devices = AudioUtilities.GetSpeakers()
+interface = devices.Activate(
+    IAudioEndpointVolume._iid_, CLSCTX_ALL, None)
+volume = cast(interface, POINTER(IAudioEndpointVolume))
+#volume.GetMute()
+#volume.GetMasterVolumeLevel()
+print(volume.GetVolumeRange())
+volume.SetMasterVolumeLevel(0, None)
+volRange = volume.GetVolumeRange()
+minVol = volRange[0]
+maxVol = volRange[1]
+vol = 0
+volBar = 400
+volPer = 0
+
+
+
+
+
+while True:
+    success, img = cap.read()
+    img = detector.findHands(img)
+    lmList = detector.findPosition(img, draw=False)
+    if len(lmList) != 0:
+        # print(lmList[4], lmList[8])
+        x1, y1 = lmList[4][1], lmList[4][2]
+        x2, y2 = lmList[8][1], lmList[8][2]
+        cx, cy = (x1 + x2) // 2, (y1 + y2) // 2
+        cv2.circle(img, (x1, y1), 15, (255, 0, 255), cv2.FILLED)
+        cv2.circle(img, (x2, y2), 15, (255, 0, 255), cv2.FILLED)
+        cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), 3)
+        cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED)
+        length = math.hypot(x2 - x1, y2 - y1)
+
+
+        vol = np.interp(length, [50, 300], [minVol, maxVol])
+        volBar = np.interp(length, [50, 300], [400, 150])
+        volPer = np.interp(length, [50, 300], [0, 100])
+        print(int(length),vol)
+        if length<=50:
+            cv2.circle(img, (cx, cy),15, (0, 255, 0), cv2.FILLED)
+        cv2.rectangle(img, (50, 150), (85, 400), (255, 0, 0), 3)
+        cv2.rectangle(img, (50, int(volBar)), (85, 400), (255, 0, 0), cv2.FILLED)
+        cv2.putText(img, f'{int(volPer)} %', (40, 450), cv2.FONT_HERSHEY_COMPLEX,
+                    1, (0, 255, 0), 3)
+
+        cTime = time.time()
+        fps = 1 / (cTime - pTime)
+        pTime = cTime
+        cv2.putText(img, f'FPS: {int(fps)}', (40, 50), cv2.FONT_HERSHEY_COMPLEX,
+                    1, (0, 255, 0), 3)
+        cv2.imshow("Img", img)
+
+
+        if cv2.waitKey(1) & 0xFF == ord('q'):
+            break

VolumeControl.py

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+import cv2
+import time
+import numpy as np
+import HandTrackingModule as htm
+import math
+from ctypes import cast, POINTER
+from comtypes import CLSCTX_ALL
+from pycaw.pycaw import AudioUtilities, IAudioEndpointVolume
+################################
+wCam, hCam = 640, 480
+################################
+cap = cv2.VideoCapture(0)
+cap.set(3, wCam)
+cap.set(4, hCam)
+pTime = 0
+detector = htm.handDetector(detectionCon=0.7)
+devices = AudioUtilities.GetSpeakers()
+interface = devices.Activate(
+    IAudioEndpointVolume._iid_, CLSCTX_ALL, None)
+volume = cast(interface, POINTER(IAudioEndpointVolume))
+# volume.GetMute()
+# volume.GetMasterVolumeLevel()
+volRange = volume.GetVolumeRange()
+minVol = volRange[0]
+maxVol = volRange[1]
+vol = 0
+volBar = 400
+volPer = 0
+while True:
+    success, img = cap.read()
+    img = detector.findHands(img)
+    lmList = detector.findPosition(img, draw=False)
+    if len(lmList) != 0:
+        # print(lmList[4], lmList[8])
+        x1, y1 = lmList[4][1], lmList[4][2]
+        x2, y2 = lmList[8][1], lmList[8][2]
+        cx, cy = (x1 + x2) // 2, (y1 + y2) // 2
+        cv2.circle(img, (x1, y1), 15, (255, 0, 255), cv2.FILLED)
+        cv2.circle(img, (x2, y2), 15, (255, 0, 255), cv2.FILLED)
+        cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), 3)
+        cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED)
+        length = math.hypot(x2 - x1, y2 - y1)
+        # print(length)
+        # Hand range 50 - 300
+        # Volume Range -65 - 0
+        vol = np.interp(length, [50, 170], [minVol, maxVol])
+        volBar = np.interp(length, [50, 170], [400, 150])
+        volPer = np.interp(length, [50, 170], [0, 100])
+        print(length)
+        volume.SetMasterVolumeLevel(vol, None)
+        if length <= 50:
+            cv2.circle(img, (cx, cy), 15, (0, 255, 0), cv2.FILLED)
+    cv2.rectangle(img, (50, 150), (85, 400), (255, 0, 0), 3)
+    cv2.rectangle(img, (50, int(volBar)), (85, 400), (255, 0, 0), cv2.FILLED)
+    cv2.putText(img, f'{int(volPer)} %', (40, 450), cv2.FONT_HERSHEY_COMPLEX,
+                1, (255, 0, 0), 3)
+    cTime = time.time()
+    fps = 1 / (cTime - pTime)
+    pTime = cTime
+    cv2.putText(img, f'FPS: {int(fps)}', (40, 50), cv2.FONT_HERSHEY_COMPLEX,
+                1, (255, 0, 0), 3)
+    cv2.imshow("Img", img)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break