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Copy pathHandTracking.py
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Copy pathHandTracking.py
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133 lines (114 loc) · 4.54 KB
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import cv2
import mediapipe as mp
import time
import math
class handDetector():
def __init__(self, mode=False, maxHands=2, modelComlplexity=1, detectionCon=0.5, trackCon=0.5):
self.mode = mode
self.maxHands = maxHands
self.detectionCon = detectionCon
self.trackCon = trackCon
self.modelComplex = modelComlplexity
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
self.tipIds = [0, 4, 8, 12, 16, 20]
def findHands(self, img, draw=True):
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
self.results = self.hands.process(imgRGB)
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):
xList = []
yList = []
bbox = []
self.lmList = []
if self.results.multi_hand_landmarks:
mainHand = self.results.multi_hand_landmarks[handNo]
for id, lm in enumerate(mainHand.landmark):
h, w, c = img.shape
cx, cy = int(lm.x * w), int(lm.y * h)
xList.append(cx)
yList.append(cy)
self.lmList.append([id, cx, cy])
if draw:
cv2.circle(img, (cx, cy), 5, (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(img, (xmin - 20, ymin - 20), (xmax + 20, ymax + 20), (0, 255, 0), 2)
return self.lmList, bbox
@property
#def handUp(self):
# if not self.lmList:
# return None
# # HandUp=1 HandDownDown=0
# return (self.lmList[self.tipIds[5]][2] < self.lmList[self.tipIds[0]][2])
def gestures_Suport(fingersUp, id="unknown"):
rock = [1, 0, 1, 0, 0, 1]
rockFlip = [0, 0, 0, 1, 1, 0]
peace = [1, 0, 1, 1, 0, 0]
talk = [1, 0, 0, 0, 0, 1]
if (fingersUp == rock) | (fingersUp == rockFlip):
return "rock"
if fingersUp == peace:
return "peace"
if fingersUp == talk:
return "talk"
def fingersUp(self):
fingers = []
if not self.lmList:
return None
# HandUp
if self.lmList[self.tipIds[5]][2] < self.lmList[self.tipIds[0]][2]:
fingers.append(1)
else:
fingers.append(0)
# Thumb
if ((self.lmList[5][1] > self.lmList[4][1]) & (self.lmList[1][1] < self.lmList[self.tipIds[0]][1])) | \
((self.lmList[5][1] < self.lmList[4][1]) & (self.lmList[1][1] > self.lmList[self.tipIds[0]][1])):
fingers.append(1)
else:
fingers.append(0)
# Fingers
for id in range(2, 6):
if self.lmList[self.tipIds[id]][2] < self.lmList[self.tipIds[id] - 2][2]:
fingers.append(1)
else:
fingers.append(0)
return fingers
def findDistance(self, p1, p2, img, draw=True, r=15, t=3):
x1, y1 = self.lmList[p1][1:]
x2, y2 = self.lmList[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():
pTime = 0
cTime = 0
cap = cv2.VideoCapture(0)
detector = handDetector()
while True:
success, img = cap.read()
img = detector.findHands(img)
lmList, bbox = 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)
cv2.waitKey(1)
if __name__ == "__main__":
main()