Delete Calibrate.py

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Prohurtz 2022-03-20 13:24:55 -07:00 committed by GitHub
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import cv2
from threading import Thread
import time
import argparse
class config:
X_RES = 128
Y_RES = 128
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):
#xlist = []
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))
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('roi invalid size')
# roi = img[100: 300, 200: 316]
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)
#xlist.extend(int(x))
#print(xlist)
#print(x)
except:
print('no EYE')
try:
for cnt in contours:
(x, y, w, h) = cv2.boundingRect(cnt)
#smooth(x, x1, y, y1)
#print('Left: x:', x, 'y:', y, 'openess:',
#'Right: x:', x, 'y:', y,)
if x > 0:
xlist.append(int(x))
else:
print('x value too small to log')
# print(xlist)
if y > 0:
ylist.append(int(y))
else:
print('Y value too small to log')
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
cv2.imshow("Threshold", threshold)
#cv2.imshow("GreyScale", gray_roi)
cv2.imshow("Roi", roi)
except:
print('no eye')
# key = cv2.waitKey(30)
#cv2.imshow('color', imgrgb)
cv2.imshow('frame', img)
cv2.waitKey(1)
if __name__ == '__main__':
#'http://192.168.0.202:81/stream'
try:
camadd= open("cam.txt","r+")
src = camadd.read().strip()
camadd.close
except:
print('Configure camera address in EyeTrack and make sure this program is in the same directory.')
xlist = []
ylist = []
threaded_camera = ThreadedCamera(src)
x = 1 #defining variables for smoothing
y = 1
x1 = 1
y1 = 1
h = 1 #defines hight value so blink check doesnt error out
#def calibrate():
# print('CALIBRATION MODE')
# print('Please put on headset after properly cropping into your eye and verifying that it tracks properly.')
# input('Press enter to contine :> ')
#print('look forward')
#threaded_camera.show_frame()
#def calibrate_center(x,y):
# print(x, y)
while True:
try:
threaded_camera.show_frame()
except AttributeError:
pass
except KeyboardInterrupt:
maxx = max(xlist)
print(maxx)
maxy = max(ylist)
print(maxy)
minx = min(xlist)
print(minx)
miny = min(ylist)
print(miny)
#pass
calibratedCenterx = (maxx + minx) / 2
calibratedCentery = (maxy + miny) / 2
calibratedLeft = minx
calibratedRight = maxx
calibratedUp = miny
calibratedDown = maxy
print(calibratedCenterx, calibratedCentery)
print(calibratedLeft)
print(calibratedRight)
print(calibratedUp)
print(calibratedDown)
with open('calibration.txt', 'w+') as cw:
cw.write(str(calibratedLeft))
cw.write('\n')
cw.write(str(calibratedDown))
cw.write('\n')
cw.write(str(calibratedCenterx))
cw.write('\n')
cw.write(str(calibratedCentery))
cw.write('\n')
cw.write(str(calibratedRight))
cw.write('\n')
cw.write(str(calibratedUp))
cw.write('\n')
cw.close()
#val = ((input - min) * 100) / (max - min)
#calibratedleft =
break