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handTrackingModule.py
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handTrackingModule.py
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import math
import cv2
import mediapipe as mp
import time
class handDetector:
def __init__(self, mode=False, maxHands=2, detectionConfidence=0.5, trackingConfidence=0.5):
self.locationsList = []
self.results = None
self.trackingConfidence = trackingConfidence
self.detectionConfidence = detectionConfidence
self.maxHands = maxHands
self.mode = mode
self.tipIds = [4, 8, 12, 16, 20]
self.mpHands = mp.solutions.hands
self.hands = self.mpHands.Hands(self.mode, self.maxHands, 1, self.detectionConfidence, self.trackingConfidence)
self.mpDraw = mp.solutions.drawing_utils
def detectHands(self, vid, draw=True, flipType=True):
vidRGB = cv2.cvtColor(vid, cv2.COLOR_BGR2RGB)
self.results = self.hands.process(vidRGB)
bothHands = []
h, w, c = vid.shape
if self.results.multi_hand_landmarks:
for handType, handLms in zip(self.results.multi_handedness, self.results.multi_hand_landmarks):
myHand = {}
myLocationList = []
xList = []
yList = []
for iD, lm in enumerate(handLms.landmark):
px, py, pz = int(lm.x * w), int(lm.y * h), int(lm.z * w)
myLocationList.append([iD, px, py])
xList.append(px)
yList.append(py)
xMin, xMax = min(xList), max(xList)
yMin, yMax = min(yList), max(yList)
boxW, boxH = xMax - xMin, yMax - yMin
bbox = xMin, yMin, boxW, boxH
cx, cy = bbox[0] + (bbox[2] // 2), bbox[1] + (bbox[3] // 2)
myHand["LocationList"] = myLocationList
if flipType:
if handType.classification[0].label == "Right":
myHand["type"] = "Left"
else:
myHand["type"] = "Right"
else:
myHand["type"] = handType.classification[0].label
bothHands.append(myHand)
if draw:
self.mpDraw.draw_landmarks(vid, handLms,
self.mpHands.HAND_CONNECTIONS)
cv2.rectangle(vid, (bbox[0] - 20, bbox[1] - 20),
(bbox[0] + bbox[2] + 20, bbox[1] + bbox[3] + 20),
(255, 0, 255), 2)
if draw:
return bothHands, vid
else:
return bothHands
def findLocations(self, vid, hand=0, draw=True):
self.locationsList = []
xList = []
yList = []
bbox = []
if self.results.multi_hand_landmarks:
HandFound = self.results.multi_hand_landmarks[hand]
for iD, lm in enumerate(HandFound.landmark):
h, w, c = vid.shape
cx, cy = int(lm.x * w), int(lm.y * h)
xList.append(cx)
yList.append(cy)
self.locationsList.append([iD, cx, cy])
if draw:
cv2.circle(vid, (cx, cy), 4, (255, 0, 255), cv2.FILLED)
xMin, xMax = min(xList), max(xList)
yMin, yMax = min(yList), max(yList)
bbox = xMin, yMin, xMax, yMax
if draw:
cv2.rectangle(vid, (xMin - 20, yMin - 20), (xMax + 20, yMax + 20),
(0, 255, 0), 2)
return self.locationsList, bbox
def fingersUp(self, myHand):
myHandType = myHand["type"]
myLmList = myHand["LocationList"]
if self.results.multi_hand_landmarks:
fingers = []
# Thumb
if myHandType == "Right":
if myLmList[self.tipIds[0]][1] > myLmList[self.tipIds[0] - 1][1]:
fingers.append(1)
else:
fingers.append(0)
else:
if myLmList[self.tipIds[0]][1] < myLmList[self.tipIds[0] - 1][1]:
fingers.append(1)
else:
fingers.append(0)
# 4 Fingers
for iD in range(1, 5):
if myLmList[self.tipIds[iD]][2] < myLmList[self.tipIds[iD] - 2][2]:
fingers.append(1)
else:
fingers.append(0)
return fingers
# fingers = []
# # Thumb
# try:
# if self.locationsList[self.tipIds[0]][2] < self.locationsList[self.tipIds[0] - 1][2]:
# fingers.append(1)
# else:
# fingers.append(0)
# except IndexError:
# fingers.append(0)
# # Fingers
# for iD in range(1, 5):
# try:
# if self.locationsList[self.tipIds[iD]][2] < self.locationsList[self.tipIds[iD] - 2][2]:
# fingers.append(1)
# else:
# fingers.append(0)
# except IndexError:
# fingers.append(0)
#
# return fingers
def findDistance(self, p1, p2, img, draw=True, r=4, t=2):
x1, y1 = self.locationsList[p1][1:]
x2, y2 = self.locationsList[p2][1:]
cx, cy = (x1 + x2) // 2, (y1 + y2) // 2
if draw:
cv2.line(img, (x1, y1), (x2, y2), (255, 0, 255), t)
cv2.circle(img, (x1, y1), r, (255, 0, 255), cv2.FILLED)
cv2.circle(img, (x2, y2), r, (255, 0, 255), cv2.FILLED)
cv2.circle(img, (cx, cy), r, (0, 0, 255), cv2.FILLED)
length = math.hypot(x2 - x1, y2 - y1)
return length, img, [x1, y1, x2, y2, cx, cy]
def main():
capture = cv2.VideoCapture(0, cv2.CAP_DSHOW)
capture.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
capture.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
prevTime = 0
detector = handDetector()
while capture.isOpened():
success, vid = capture.read()
detector.detectHands(vid)
locations, _ = detector.findLocations(vid)
if len(locations):
print(locations[4])
currTime = time.time()
fps = 1 / (currTime - prevTime)
prevTime = currTime
cv2.putText(vid, str(int(fps)), org=(20, 50), fontFace=cv2.FONT_HERSHEY_SIMPLEX,
fontScale=2, color=(255, 0, 255), thickness=3)
cv2.imshow("Video", vid)
cv2.waitKey(1)
vid.release()
cv2.destroyAllWindows()
if __name__ == "__main__":
main()