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mix2.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jan 2 21:36:12 2023
@author: wangyongping
"""
# webcam鏡頭
import cv2
import numpy as np
import time
import os
import mediapipe as mp
import math
import sys
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles
mp_hands = mp.solutions.hands
# 根據兩點的座標，計算角度
def vector_2d_angle(v1, v2):
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_ = 180
return angle_
# 根據傳入的 21 個節點座標，得到該手指的角度
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 decode_fourcc(v):
v = int(v)
return "".join([chr((v>>8 *i) & 0xFF) for i in range(4)])
def hand(finger_angle):
cap = cv2.VideoCapture(1)
#print(type(cap))
width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
#print("圖片長寬",width,height)
# get fourcc
fourcc = cap.get(cv2.CAP_PROP_FOURCC)
codec = decode_fourcc(fourcc)
#print("Codec:",codec)
cap.set(cv2.CAP_PROP_FRAME_WIDTH,1280)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT,960)
# 根據手指角度的串列內容，返回對應的手勢名稱
f1 = finger_angle[0] # 大拇指角度
f2 = finger_angle[1] # 食指角度
f3 = finger_angle[2] # 中指角度
f4 = finger_angle[3] # 無名指角度
f5 = finger_angle[4] # 小拇指角度
# 小於 50 表示手指伸直，大於等於 50 表示手指捲縮
if f1<50 and f2>=50 and f3>=50 and f4>=50 and f5>=50:
return 'START' #good
elif f1>=50 and f2>=50 and f3>=50 and f4>=50 and f5>=50:
return 'CLOSE' #0
elif f1>=50 and f2<50 and f3>=50 and f4>=50 and f5>=50:
return '1'
elif f1>=50 and f2<50 and f3<50 and f4>=50 and f5>=50:
return '2'
elif f1>=50 and f2>=50 and f3<50 and f4<50 and f5<50:
return 'ok'
elif f1<50 and f2>=50 and f3<50 and f4<50 and f5<50:
return 'ok'
elif f1>=50 and f2<50 and f3<50 and f4<50 and f5>50:
return '3'
elif f1>=50 and f2>=50 and f3<50 and f4>=50 and f5>=50:
return 'no!!!'
elif f1<50 and f2<50 and f3>=50 and f4>=50 and f5<50:
return 'ROCK!'
elif f1<50 and f2<50 and f3<50 and f4<50 and f5<50:
return 'STOP' #5
else:
return ''
''' elif f1>=50 and f2>=50 and f3<50 and f4>=50 and f5>=50:
return 'no!!!'
elif f1<50 and f2<50 and f3>=50 and f4>=50 and f5<50:
return 'ROCK!'
'''
def tomato(minutes, notify_msg):
start_time = time.perf_counter()
diff_seconds = int(round(time.perf_counter() - start_time))
left_seconds = minutes * 60 - diff_seconds
#print(int(left_seconds / 60), int(left_seconds % 60))
return left_seconds
def progressbar(curr, total, duration=10, extra=''):
frac = curr / total
filled = round(frac * duration)
print('\r', '🍅' * filled + '--' * (duration - filled), '[{:.0%}]'.format(frac), extra, end='')
'''def countdown():
a = tomato(1, 'It is time to take a break')
#print(a)
for i in range(a,0,-1):
print(int(i / 60), int(i % 60))
return int(i / 60), int(i % 60)
'''
def main():
face_cascade = cv2.CascadeClassifier("face.xml")
cap = cv2.VideoCapture(1) # 讀取攝影機
fontFace = cv2.FONT_HERSHEY_SIMPLEX # 印出文字的字型
lineType = cv2.LINE_AA # 印出文字的邊框
# mediapipe 啟用偵測手掌
with mp_hands.Hands(
model_complexity=0,
min_detection_confidence=0.5,
min_tracking_confidence=0.5) as hands:
w, h = 800, 450 # 影像尺寸
#starttime = time.strftime('%Y/%m/%d %H:%M:%S',time.localtime(time.time()))
a = tomato(0.25, 'It is times to take a break')
count = 0
# 開鏡頭
while True:
ret,frame= cap.read()
#img = cv2.resize(img, (w,h)) # 縮小尺寸，加快處理效率
#cv2.imshow('ugly face',frame)
nowtime = time.strftime('%Y/%m/%d %H:%M:%S',time.localtime(time.time()))
cv2.putText(frame, nowtime, (300, 150), cv2.FONT_HERSHEY_SCRIPT_COMPLEX, 2, (255, 255, 255), 5, cv2.LINE_AA)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # 將鏡頭影像轉換成灰階
faces = face_cascade.detectMultiScale(gray) # 偵測人臉
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2) # 標記人臉
img2 = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) # 轉換成 RGB 色彩
results = hands.process(img2) # 偵測手勢
if results.multi_hand_landmarks:
for hand_landmarks in results.multi_hand_landmarks:
finger_points = [] # 記錄手指節點座標的串列
for i in hand_landmarks.landmark:
# 將 21 個節點換算成座標，記錄到 finger_points
x = i.x*w
y = i.y*h
finger_points.append((x,y))
if finger_points:
finger_angle = hand_angle(finger_points) # 計算手指角度，回傳長度為 5 的串列
#print(finger_angle) # 印出角度 ( 有需要就開啟註解 )
text = hand(finger_angle) # 取得手勢所回傳的內容
cv2.putText(frame, text,(30,120), fontFace, 3, (255, 255, 255), 10, lineType) # 印出文字
#a = tomato(1, 'It is times to take a break')
#print(a)
a = a - 0.3
minute = str(int(a / 60))
sec = str(int(a % 60))
countdown = "remaining time=" + minute + ":" + sec
cv2.putText(frame, countdown, (160,220), fontFace, 2, (0,0,0), 3, lineType) # 印出文字
#cv2.putText(frame, text, (30,120), fontFace, 5, (255, 255, 255), 10, lineType) # 印出文字
if int(minute) <= 0 and int(sec) <= 0:
count+=1
#print(count)
time.sleep(1)
#cv2.putText(frame, "relax time", (160,220), fontFace, 2, (0,0,0), 3, lineType)
if count == 2:
break
elif count%2 != 0:
a += 10
elif count%2 == 0:
a += 15
cv2.imshow('Tomato', frame)
if cv2.waitKey(1) & 0xFF == ord('q'): # 按q關閉
break
cap.release()
cv2.destroyAllWindows()
#cap = cv2.VideoCapture("video.mp4")
# 播影片
while (cap.isOpened()):
ret,frame = cap.read()
cv2.imshow('my video',frame)
if cv2.waitKey(1) & 0XFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
# 輸出影片
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH,640)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT,360)
fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter("Output.avi",fourcc,20.0,(640,360))
while (cap.isOpened()):
ret,frame = cap.read()
if ret == True:
out.write(frame)
cv2.imshow('ugly face',frame)
# 使用各種字體
if cv2.waitKey(1) & 0xFF == ord('q'): # 按q關閉
break
else:
break
cap.release()
out.release()
cv2.destroyAllWindows()
main()