EyeTrackVR-Docs/scripts/EyeTrackVR_ESP.py
2022-05-04 17:23:27 +02:00

198 lines
6.4 KiB
Python

from threading import Thread
import cv2
import os, time
import argparse
import time
from pythonosc import udp_client
class config:
X_RES = 128
Y_RES = 128
def writet(addressipn):
addressips = addressipn.strip().lower()
camadd = open("cam.txt","w+")
camadd.write(str(addressips))
print(addressips)
camadd.close
def vc():
vc.xmax = 1
vc.xmin = 6969
vc.ymax = 1
vc.ymin = 6969
class ThreadedCamera(object):
def __init__(self, src=0):
self.capture = cv2.VideoCapture(src)
self.capture.set(cv2.CAP_PROP_BUFFERSIZE, 3)
# Start frame retrieval thread
self.thread = Thread(target=self.update, args=())
self.thread.daemon = True
self.thread.start()
def update(self):
while True:
if self.capture.isOpened():
(self.status, self.frame) = self.capture.read()
def show_frame(self):
img = cv2.cvtColor(self.frame, cv2.COLOR_RGB2GRAY)
img = cv2.resize(img, dsize=(config.X_RES, config.Y_RES))
imgrgb = cv2.resize(self.frame, dsize=(config.X_RES, config.Y_RES))
## \/ WILL BE COMBINED INTO ONE SINGLE FILE
fy= open("valueY.txt","r+")
vy = fy.read().strip()
fy.close
fx= open("valueX.txt","r+")
vx = fx.read().strip()
fx.close
vyll= open("valueYl.txt","r+")
vyl = vyll.read().strip()
vyll.close
vxll= open("valueXl.txt","r+")
vxl = vxll.read().strip()
vxll.close
thresh= open("thresh.txt","r+")
threshr = thresh.read().strip()
thresh.close
# trys at set size if it errors it will revert to working size/ doesnt do what was orrigionally planed, it kinda helps
try:
roi = img[int(vxl): int(float(vy)), int(vyl): int(float(vx))]
except:
print('[ERROR] Camera crop invalid size. Try making it larger.')
try:
rows, cols, = roi.shape
gray_roi = cv2.GaussianBlur(roi, (7, 7), 0)
_, threshold = cv2.threshold(gray_roi, int(threshr), 255, cv2.THRESH_BINARY_INV)
contours, _ = cv2.findContours(threshold, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
contours = sorted(contours, key=lambda x: cv2.contourArea(x), reverse=True)
except:
print('[INFO] No Eye Detected')
try:
for cnt in contours:
(x, y, w, h) = cv2.boundingRect(cnt)
blink = False
if h <= 25: #way to find if eye is closed and sets value (hopefully will train a model for correct openess detection) Help appriciated since I have no clue how to do ml models
blink = True
xt = x + int(w/2)
yt = y + int(h/2)
try:
xpercentage = (((xt - vc.xmin) * 100) / (vc.xmax - vc.xmin)) / 100 #TESTING NEEDED AM UNSURE IF VALUES NEED TO BE FLIPPED
ypercentage = (((yt - vc.ymin) * 100) / (vc.ymax - vc.ymin)) / 100
if xpercentage >= 1:
print('[WARN] X Value Exceedes Calibrated Value.')
xpercentage = 1
if ypercentage >= 1:
print('[WARN] Y Value Exceedes Calibrated Value.')
ypercentage = 1
client.send_message("/Avatar/RightEyeX", xpercentage) #sends to vr chat needs to use calibration function
client.send_message("/Avatar/LeftEyeX", xpercentage)
client.send_message("/Avatar/LeftEyeY", ypercentage)
client.send_message("/Avatar/RightEyeY", ypercentage)
print('X: ', xpercentage, ' Y: ', ypercentage)
except:
print('[WARN] Calculation Error: Move Eye Around or Adjust Detection Threshold.')
if xt > vc.xmax:
if vc.xmax != 0:
vc.xmax = xt
if xt < vc.xmin:
if vc.xmin != 0:
vc.xmin = xt
if yt > vc.ymax:
if vc.ymax != 0:
vc.ymax = yt
if yt < vc.ymin:
if vc.ymin != 0:
vc.ymin = yt
xt = x + int(w/2)
yt = y + int(h/2)
cv2.line(threshold, (x + int(w/2), 0), (x + int(w/2), rows), (255, 0, 0), 1) #visualizes eyetracking on threshold
cv2.line(threshold, (0, y + int(h/2)), (cols, y + int(h/2)), (255, 0, 0), 1)
cv2.drawContours(threshold, [cnt], -1, (255, 0, 0), 3)
cv2.rectangle(threshold, (x, y), (x + w, y + h), (255, 0, 0), 2)
cv2.line(gray_roi, (x + int(w/2), 0), (x + int(w/2), rows), (255, 0, 0), 1) #visualizes eyetracking on greyscale
cv2.line(gray_roi, (0, y + int(h/2)), (cols, y + int(h/2)), (255, 0, 0), 1)
cv2.drawContours(gray_roi, [cnt], -1, (255, 0, 0), 3)
cv2.rectangle(gray_roi, (x, y), (x + w, y + h), (255, 0, 0), 2)
break
except:
print('[ERROR] Main Loop Failure.')
cv2.imshow("Threshold", threshold)
cv2.imshow("GreyScale", gray_roi)
cv2.imshow("Roi", roi)
cv2.imshow('color', imgrgb)
cv2.imshow('frame', img)
cv2.waitKey(1)
if __name__ == '__main__':
#'http://192.168.0.202:81/stream'
try:
OSCip="127.0.0.1"
OSCport=9000 #VR Chat OSC port
client = udp_client.SimpleUDPClient(OSCip, OSCport)
except:
print('[ERROR] Connection to VR Chat via OSC Failed')
try:
camadd= open("cam.txt","r+")
src = camadd.read().strip()
camadd.close
except:
addressipn = input('Enter IP Stream Address of Camera :>: ')
writet(addressipn)
src = addressipn.strip().lower()
threaded_camera = ThreadedCamera(src)
h = 1 #defines hight value so blink check doesnt error out
ronce = 0
while True:
try:
if ronce == 0:
vc()
ronce = 1
threaded_camera.show_frame()
except AttributeError:
pass