gesture_detection.py

import cv2
import mediapipe as mp
import time
import math

print("enter url")
url = input()
print(url)
#url = 'http://192.168.43.206:8080/video'
#url='http://100.101.157.27:8080/video'
url = 'http://100.98.207.187:8080/video'
cap = cv2.VideoCapture(url)
mpHands = mp.solutions.hands
hands = mpHands.Hands(static_image_mode=False,
                      max_num_hands=2,
                      min_detection_confidence=0.5,
                      min_tracking_confidence=0.5)
mpDraw = mp.solutions.drawing_utils
pTime = 0
cTime = 0
dirn = 'no input'
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):
                #print(id,lm)
                h, w, c = img.shape
                cx, cy = int(lm.x * w), int(lm.y * h)
                #if id ==0:
                cv2.circle(img, (cx, cy), 3, (255, 0, 255), cv2.FILLED)
                if id == 4:
                    lm1 = lm
                if id == 8:
                    lm2 = lm
            mpDraw.draw_landmarks(img, handLms, mpHands.HAND_CONNECTIONS)
            m1 = lm2.y - lm1.y
            m2 = lm2.x - lm1.x
            m = m1 / m2
            #print(m)
            if lm2.x < lm1.x:
                hand = 'right'
            if lm2.x > lm1.x:
                hand = 'left'
            print(hand)
            angle = math.atan(m)
            print(angle)
            if m < 0 and hand == 'right':
                dirn = 'left'
                cv2.arrowedLine(img, (100, 120), (70, 120), (0, 255, 0),
                                2,
                                tipLength=.5)  #left
            if m > 0 and hand == 'right':
                dirn = 'reverse'
                cv2.arrowedLine(img, (100, 120), (100, 100), (0, 255, 0),
                                2,
                                tipLength=.5)  #reverse
            if m < 0 and hand == 'left':
                dirn = 'straight'
            if m > 0 and hand == 'left':
                dirn = 'Right'
                cv2.arrowedLine(img, (70, 120), (100, 120), (0, 255, 0),
                                2,
                                tipLength=.5)  #right

    else:
        dirn = 'no input'
    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.putText(img, dirn, (70, 70), cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 255),
                3)
    cv2.imshow("Image", img)
    cv2.waitKey(1)