不要比中指

本來在弄教學文件，找到禮貌運動(不要比中指)，https://ithelp.ithome.com.tw/articles/10265041

靜態手指角度計算 https://gitcode.net/EricLee/handpose_x/-/issues/3?from_codechina=yes

import cv2

import mediapipe as mp

import math

# 針對給定的某個矩形做馬賽克

def mosaic(img, left_up, right_down):

new_img = img.copy()

# size代表此馬賽克區塊中每塊小區域的邊長

size = 10

for i in range(left_up[1], right_down[1]-size-1, size):

for j in range(left_up[0], right_down[0]-size-1, size):

try:

# 將此小區域中的每個像素都給定為最左上方的像素值

new_img[i:i + size, j:j + size] = img[i, j, :]

except:

pass

return new_img

def vector_2d_angle(v1,v2): # 求出v1,v2兩條向量的夾角

v1_x=v1[0]

v1_y=v1[1]

v2_x=v2[0]

v2_y=v2[1]

try:

angle_= math.degrees(math.acos((v1_x*v2_x+v1_y*v2_y)/(((v1_x**2+v1_y**2)**0.5)*((v2_x**2+v2_y**2)**0.5))))

except:

angle_ = 100000.

return angle_

def hand_angle(hand_):

angle_list = []

#---------------------------- thumb 大拇指角度

angle_ = vector_2d_angle(

((int(hand_[0][0])- int(hand_[2][0])),(int(hand_[0][1])-int(hand_[2][1]))),

((int(hand_[3][0])- int(hand_[4][0])),(int(hand_[3][1])- int(hand_[4][1])))

)

angle_list.append(angle_)

#---------------------------- index 食指角度

angle_ = vector_2d_angle(

((int(hand_[0][0])-int(hand_[6][0])),(int(hand_[0][1])- int(hand_[6][1]))),

((int(hand_[7][0])- int(hand_[8][0])),(int(hand_[7][1])- int(hand_[8][1])))

)

angle_list.append(angle_)

#---------------------------- middle 中指角度

angle_ = vector_2d_angle(

((int(hand_[0][0])- int(hand_[10][0])),(int(hand_[0][1])- int(hand_[10][1]))),

((int(hand_[11][0])- int(hand_[12][0])),(int(hand_[11][1])- int(hand_[12][1])))

)

angle_list.append(angle_)

#---------------------------- ring 無名指角度

angle_ = vector_2d_angle(

((int(hand_[0][0])- int(hand_[14][0])),(int(hand_[0][1])- int(hand_[14][1]))),

((int(hand_[15][0])- int(hand_[16][0])),(int(hand_[15][1])- int(hand_[16][1])))

)

angle_list.append(angle_)

#---------------------------- pink 小拇指角度

angle_ = vector_2d_angle(

((int(hand_[0][0])- int(hand_[18][0])),(int(hand_[0][1])- int(hand_[18][1]))),

((int(hand_[19][0])- int(hand_[20][0])),(int(hand_[19][1])- int(hand_[20][1])))

)

angle_list.append(angle_)

return angle_list

def hand_gesture(angle_list):

gesture_str = None

if 100000. not in angle_list:

if (angle_list[1]>40) and (angle_list[2]<40) and (angle_list[3]>40) and (angle_list[4]>40):

gesture_str = "middle"

return gesture_str

def detect():

mp_hands = mp.solutions.hands

hands = mp_hands.Hands(

static_image_mode=False,

max_num_hands=2,

#max_num_hands=1就是兩隻手的判斷

min_detection_confidence=0.75,

min_tracking_confidence=0.75)

# 開啟視訊鏡頭讀取器

cap = cv2.VideoCapture(0)

while True:

# 偵測影像中的手部

_, frame = cap.read()

frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

frame= cv2.flip(frame,1)

results = hands.process(frame)

frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)

if results.multi_hand_landmarks:

for hand_landmarks in results.multi_hand_landmarks:

keypoint_pos = []

for i in range(21):

x = hand_landmarks.landmark[i].x*frame.shape[1]

y = hand_landmarks.landmark[i].y*frame.shape[0]

keypoint_pos.append((x,y))

if keypoint_pos:

# 得到各手指的夾角資訊

angle_list = hand_angle(keypoint_pos)

# 根據角度判斷此手勢是否為中指

gesture_str = hand_gesture(angle_list)

if gesture_str == "middle":

for node in range(9, 13):

center_x = int(keypoint_pos[node][0])

center_y = int(keypoint_pos[node][1])

frame = mosaic(frame, [center_x - 15 , center_y - 10], [center_x + 30, center_y + 50])

cv2.imshow('MediaPipe Hands', frame)

if cv2.waitKey(1) & 0xFF == 27:

break

cap.release()

if __name__ == '__main__':

detect()