Allerdings wieder eine Fehlermledung:
Traceback (most recent call last):
File "ProjektOpenCV.py", line 76, in <module>
D = dist.euclidean ((tblX, tlblY), (trbrX, trbrY))
NameError: name 'tblX' is not defined
Code:
Code: Alles auswählen
from scipy.spatial import distance as dist
from imutils import perspective
from imutils import contours
import picamera
import RPi.GPIO as GPIO
import time
import imutils
import cv2
import numpy as np
import argparse
GPIO.setmode(GPIO.BCM)
GPIO.setup(26, GPIO.IN)
GPIO.input(26)
GPIO.setup(20, GPIO.OUT)
GPIO.setup(16, GPIO.OUT)
GPIO.setup(12, GPIO.OUT)
GPIO.setup(7, GPIO.OUT)
while True:
if GPIO.input(26) == 0:
#LOW - Pegel
# Setup the camera such that it closes
#when we are done with it.
print("About take a picture")
with picamera.PiCamera() as camera:
camera.resolution = (1280,720)
camera.capture("/var/www/html/Projekt/Laiserbild.jpg")
print("Picture taken.")
else:
#HIGH - Pegel
def midpoint(ptA, ptB):
return ((ptA[0] + ptB[0]) * 0.5, (ptA[1] + ptB[1]) * 0.5)
gray = cv2.imread ("/var/www/html/Projekt/Laiserbild.jpg")
edged = cv2.Canny(gray, 50,100)
edged = cv2.dilate(edged, None, iterations=1)
edged = cv2.erode(edged, None, iterations=1)
cnts = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours (cnts)
(cnts, _) = contours.sort_contours(cnts)
colors = ((0, 0, 255), (240, 0, 159), (0, 165, 255), (255, 255, 0), (255, 0, 255))
refObj = None
for c in cnts:
if cv2.contourArea(c) > 1:
continue
box = cv2. minAreaRect (c)
box = cv2. boxPoints (box) if imutils.is_cv2() else cv2.boxPoints (box)
box = np.array(box, dtype="int")
box = perspective.order_points(box)
cX = np.average(box[:,0])
cY = np.average(box[:, 1])
if refObj is None:
(tl, tr, br, bl) = box
(tlblX, tlblY) = midpoint(tl, bl)
(trbrX, trbrY) = midpoint (tr, br)
D = dist.euclidean ((tblX, tlblY), (trbrX, trbrY))
refObj = (box, (cX, CY), D / 0.21)
continue
orig = image.copy()
cv2.drawContrours(orig, [box.astype("int")],-1, (0,255, 0), 2)
cv2.drawContours(orig, [refObj[0].astype("int")], -1, (0, 255, 0), 2)
refCoords = np.vstack([refObj[0], refObj[1]])
objCoords = np.vstack([box, (cX, cY)])
for ((xA, yA), (xB, yB), color) in zip(refCoords, objCoords, colors):
cv2.circle(orig, (int(xA), int(yA)), 5, color, -1)
cv2.circle(orig, (int(xB), int(yB)), 5, color, -1)
cv2.line(orig, (int(xA), int(yA)), (int(xB), int(yB)),
color, 2)
D = dist.euclidean((xA, yA), (xB, yB)) / refObj[2]
(mX, mY) = midpoint((xA, yA), (xB, yB))
cv2.putText(orig, "{:.1f}in".format(D), (int(mX), int(mY - 10)),
cv2.FONT_HERSHEY_SIMPLEX, 0.55, color, 2)
if D <= 0.3:
GPIO.output(20, GPIO.HIGH)
GPIO.output(16, GPIO.LOW)
GPIO.output(12, GPIO.LOW)
GPIO.output(7, GPIO.LOW)
elif (D > 0.3) & (D <= 0.6):
GPIO.output(20, GPIO.LOW)
GPIO.output(16, GPIO.HIGH)
GPIO.output(12, GPIO.LOW)
GPIO.output(7, GPIO.LOW)
elif (D > 0.6) & (D <= 0.9):
GPIO.output(20, GPIO.LOW)
GPIO.output(16, GPIO.LOW)
GPIO.output(12, GPIO.HIGH)
GPIO.output(7, GPIO.LOW)
elif (D > 0.9 )& (D <= 1.2):
GPIO.output(20, GPIO.LOW)
GPIO.output(16, GPIO.LOW)
GPIO.output(12, GPIO.HIGH)
GPIO.output(7, GPIO.LOW)
elif D > 1.2:
GPIO.output(20, GPIO.LOW)
GPIO.output(16, GPIO.LOW)
GPIO.output(12, GPIO.LOW)
GPIO.output(7, GPIO.HIGH)
cv2.imshow("image", gray)
cv2.imshow("Copy", orig)
time.sleep(0.0001)
GPIO.cleanup()