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AI_mouse.py
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import cv2
import numpy as np
import handTrackingModule as Htm
import time
import autopy
###############################
wCam, hCam = 640, 480
frameRed = 100 # frame Reduction
Smoothing = 10
###############################
P_time = 0
P_Loc_X, P_Loc_Y = 0, 0
C_Loc_X, C_Loc_Y = 0, 0
cap = cv2.VideoCapture(0)
cap.set(3, wCam)
cap.set(4, hCam)
detector = Htm.HandDetector(maxHands=1)
W_Scr, H_Scr = autopy.screen.size()
# 1536.0 864.0
while True:
# 1. Find Landmarks
success, img = cap.read()
img = cv2.flip(img, 1)
img = detector.findHands(img)
lmList, bbox = detector.findPosition(img)
# print(lmList)
# 2. Get the tips of the index and middle finger
if len(lmList) != 0:
x1, y1 = lmList[8][1:]
x2, y2 = lmList[12][1:]
# print(x1, y1, x2, y2)
# 3. Check which fingers are up
fingers = detector.fingersUp()
# print(fingers)
cv2.rectangle(img, (frameRed, frameRed), (wCam - frameRed, hCam - frameRed), (255, 0, 255), 2)
# 4. Only Index finger : Moving Mode
if fingers[1] == 1 and fingers[2] == 0:
# 5. Convert Coordinates
x3 = np.interp(x1, (frameRed, wCam-frameRed), (0, W_Scr))
y3 = np.interp(y1, (frameRed, hCam-frameRed), (0, H_Scr))
# 6. Smoothen Values
C_Loc_X = P_Loc_X + (x3 - P_Loc_X) / Smoothing
C_Loc_Y = P_Loc_Y + (y3 - P_Loc_Y) / Smoothing
# 7. Move Mouse
autopy.mouse.move(C_Loc_X, C_Loc_Y)
cv2.circle(img, (x1, y1), 15, (255, 0, 255), cv2.FILLED)
P_Loc_X, P_Loc_Y = C_Loc_X, C_Loc_Y
# 8. When Both index amd middle finger are up then it is in clicking mode
if fingers[1] == 1 and fingers[2] == 1:
# 9. Find the distance between fingers
length, img, lineInfo = detector.findDistance(img, 8, 12)
print(length)
if int(length) < 45:
cv2.circle(img, (lineInfo[4], lineInfo[5]), 15, (0, 255, 0), cv2.FILLED)
# 10. click move if distance short
autopy.mouse.click()
# 11. Frame Rate
C_time = time.time()
fps = 1/(C_time-P_time)
P_time = C_time
cv2.putText(img, str(int(fps)), (10, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 0), 3)
# 12. Display
cv2.imshow("Image", img)
cv2.waitKey(1)