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handTrackingModule.py
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handTrackingModule.py
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import cv2
import mediapipe as mp
import time
class handDetector():
def __init__(self, mode=False, maxHands=1, min_detectioncon= 0.7, min_trackingconf =0.5):
self.mode = mode
self.maxHands = maxHands
self.detectionCon = min_detectioncon
self.trackCon = min_trackingconf
self.mpHands = mp.solutions.hands
self.hands = self.mpHands.Hands(self.mode, self.maxHands,
self.detectionCon, self.trackCon)
self.mpDraw = mp.solutions.drawing_utils
def findHands(self, img, draw=True):
##Converts to rgb
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=False):
lmList = []
if self.results.multi_hand_landmarks:
myHand = self.results.multi_hand_landmarks[handNo]
for id, lm in enumerate(myHand.landmark):
h, w, c = img.shape
cx, cy = int(lm.x * w), int(lm.y * h)
lmList.append([id, cx, cy])
if draw:
# It just changes the colour of the hand connections
cv2.circle(img, (cx, cy), 4, (220, 155, 0), cv2.FILLED)
return lmList