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main.py
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import PySimpleGUI as sg
import cv2
import numpy as np
import pyautogui as pg
import os
import sys
import HandTrackingModule as htm
import EyeTrackingModule as etm
import time
from collections import deque
def resource_path(relative_path):
if hasattr(sys, '_MEIPASS'):
return os.path.join(sys._MEIPASS, relative_path)
return os.path.join(os.path.abspath("."), relative_path)
def display_main():
layout = [[sg.Text('リアルタイム映像', size=(40, 1), font='メイリオ 22', justification='center', key='-status-')],
[sg.Text('カメラ番号: ', size=(8, 1)), sg.InputText(default_text='0', size=(4, 1), key='-camera_num-'), sg.Button('ジェスチャー認識 ON/OFF', key='-gesture-')],
[sg.Image(filename='', key='-image-')],
[sg.Text('', key='-description-')],
[sg.Button('開始', key='-start-'), sg.Button('停止', key='-stop-'), sg.Button('ホーム', key='-home-')]
]
recording = False
gesture = False
window = sg.Window('Blicky ―Hand&Eye Tracking Virtual Mouse―', layout=layout, font='メイリオ', icon=resource_path('Blicky.ico'))
previous_gesture = deque([]) # store gesture_id
cool_time = 30 # cool time(frames) for gesture recognition
gesture_accuracy = 0.8 # do action if the proportion of current gesture_id is higher than this value
while True:
event, values = window.read(timeout=0)
if event == '-gesture-':
gesture = not gesture
if event in (None, '終了'):
break
elif event == '-start-':
window['-status-'].update('Live')
window['-description-'].update('※ 表示されているピンク色の枠がパソコンのフレームです')
##########################
wCam, hCam = 640, 480
frameR = 100 # Frame Reduction
smoothening = 7
#########################
pTime = 0
plocX, plocY = 0, 0
clocX, clocY = 0, 0
camera_number = int(values['-camera_num-'])
cap = cv2.VideoCapture(camera_number, cv2.CAP_DSHOW)
# cap = cv2.VideoCapture(camera_number)
cap.set(3, wCam)
cap.set(4, hCam)
detector = htm.handDetector(detectionCon=0.5, trackCon=0.5)
eyeDetector = etm.EyeDetector()
wScr, hScr = pg.size()
# print(wScr, hScr)
recording = True
elif event == '-stop-':
window['-status-'].update("Stop")
window['-description-'].update('')
recording = False
# 幅、高さ 戻り値Float
W = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
H = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
# print(H,W)
img = np.full((H, W), 0)
# ndarry to bytes
imgbytes = cv2.imencode('.png', img)[1].tobytes()
window['-image-'].update(data=imgbytes)
cap.release()
cv2.destroyAllWindows()
elif event == '-home-':
window.close()
return True
if recording:
ret, img = cap.read()
if ret is True:
img = cv2.flip(img, 1)
img = detector.findHands(img)
lmList, point_history, bbox, gesture_id = detector.findPosition(img, gesture=gesture)
# 2. Get the tip of the index and middle fingers
if len(lmList) != 0:
# print(lmList)
x1, y1 = lmList[8][1:]
x2, y2 = lmList[12][1:]
# print(x1, y1, x2, y2)
# 3. Check which fingers are up
if len(lmList) != 0:
fingers = detector.fingersUp()
# print(fingers)
cv2.rectangle(img, (frameR, frameR), (wCam - frameR, hCam - frameR), (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, (frameR, wCam - frameR), (0, wScr))
y3 = np.interp(y1, (frameR, hCam - frameR), (0, hScr))
# 6. Smoothen Values
clocX = plocX + (x3 - plocX) / smoothening
clocY = plocY + (y3 - plocY) / smoothening
# 7. Move Mouse
# pg.moveTo(wScr - clocX, clocY)
pg.moveTo(clocX, clocY)
cv2.circle(img, (x1, y1), 16, (255, 0, 255), cv2.FILLED)
for index, point in enumerate(point_history):
if point[0] != 0 and point[1] != 0:
cv2.circle(img, (point[0], point[1]), index, (255/16*index, 0, 255/16*index), 2)
plocX, plocY = clocX, clocY
# 8. Both Index and middle fingers are up : Clicking Mode
if fingers[1] == fingers[2]:
# 9. Find distance between fingers
length, img, lineInfo = detector.findDistance(8, 12, img)
# 10. Click mouse if distance short
cv2.circle(img, (lineInfo[4], lineInfo[5]), 15, (0, 255, 0), cv2.FILLED)
if fingers[1] == 0:
length *= -1
try:
pg.scroll(int(5*length))
except Exception as e:
print(e)
if gesture_id != -1:
previous_gesture.append(gesture_id)
if len(previous_gesture) >= cool_time:
previous_gesture.popleft()
# print(gesture_delay)
if previous_gesture.count(gesture_id)/len(previous_gesture) >= gesture_accuracy:
if gesture_id == 0: # Heart
pg.write('I love JPHACKS2021.')
elif gesture_id == 1: # Triangle
screenshot = pg.screenshot()
screenshot.save('./screenshot.png')
previous_gesture = deque([])
# 9. Either left or right eye are closed : Clicking Mode
ret, img2 = eyeDetector.findEyePosition(img)
if ret == [-1, -1]:
img2 = img
# 10. Left-click mouse if left eye are closed and Right-click mouse if right eye are closed
elif ret == [1, 0]:
pg.leftClick()
elif ret == [0, 1]:
pg.rightClick()
# 11. Frame Rate
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
cv2.putText(img2, f'{int(fps)} FPS', (30, 450), cv2.FONT_HERSHEY_SIMPLEX, 1, (228, 223, 175), 2, cv2.LINE_AA)
imgbytes = cv2.imencode('.png', img2)[1].tobytes()
window['-image-'].update(data=imgbytes)
window.close()
sg.theme('DarkAmber')
# ウィンドウの部品とレイアウト
layout = [
[sg.Text('バーチャルマウスの基本操作方法', font=('Arial', 22), justification='center')],
[sg.Text('▼ カーソル移動：人差し指を上げて動かす')],
[sg.Image(filename=resource_path('move.png'), size=(330, 100), key='-img1-')],
[sg.Text('▼ 左（右）クリック：左（右）目だけを閉じる')],
[sg.Image(filename=resource_path('click.png'), size=(330, 100), key='-img2-')],
[sg.Text('▼ 上（下）スクロール：ピースサイン上向き（下向き）')],
[sg.Image(filename=resource_path('scroll.png'), size=(330, 100), key='-img3-')],
[sg.Text('▼ 開発中①｜I love JPHACKS2021. と入力する：ハート💛を指で描く')],
[sg.Text('▼ 開発中②｜スクリーンショットをとる：三角形🔺を指で描く')],
[sg.Button('はじめる', key='-start-')],
]
# ウィンドウの生成
window = sg.Window('Blicky ―Hand&Eye Tracking Virtual Mouse', layout=layout, font='メイリオ', icon=resource_path('Blicky.ico'))
# イベントループ
while True:
event, values = window.read()
if event == sg.WIN_CLOSED:
break
elif event == "-start-":
window.Hide() # 説明画面を隠す
# メイン画面を表示する
main_return = display_main()
# もしNoneが返ってきたら説明画面も終了させる
if main_return is None:
break
elif main_return == True:
window.UnHide() # 説明画面を再表示する
window.close()