Python Dili Kullanılarak OpenCV Kütüphanesi ile Kayıp Eşya Tespiti

Daha fazla bilgi için:
Afyon Kocatepe Üniversitesi
Teknoloji Fakültesi
Elektrik Elektronik Mühendisliği
Afyon Kocatepe University
Technology Faculty
Department of Electrical Electronics Engineering

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Tebrik ederim. Harika bir çalışma olmuş.

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##doğru çalışan kod bu şekilde oldu bende
import cv2
import time

class Camera:

def __init__(self, camera_id):
print("Camera Constructor")
self.cap = cv2.VideoCapture(camera_id)


def __del__(self):
print("Camera destrcutor")
self.cap.release()
cv2.destroyAllWindows()

def is_opened(self):
return self.cap.isOpened()


def read_frame(self):


if self.cap.isOpened():

ret, frame = self.cap.read()

if ret == False:
print("No Camera found")

return ret, frame



def find_score(des1, des2):

matches = bf.knnMatch(des1, des2, k=2)
if len(matches)==0:
return 0

good = []
for m, n in matches:
if m.distance < 0.5 * n.distance:
good.append([m])

score = len(good)
return score

color = (0, 255, 0)
timeFound = timeNow = time.time()
sift =

bf = cv2.BFMatcher()

##cam = Camera("Kayip_Esya.avi")
cam = cv2.VideoCapture(0)
ret, frame = cam.read()
width = frame.shape[1]
height = frame.shape[0]

bbox = cv2.selectROI(frame, False)

x1 = int(bbox[0])
x2 = int(bbox[0] +bbox[2])
y1 = int(bbox[1])
y2 = int(bbox[1]+bbox[3])

imageOrj = frame[y1:y2, x1:x2, :]

kpROI, descROI = sift.detectAndCompute(imageOrj, None)

imageOrj = cv2.resize(imageOrj, (100, 100))
frame[height-130:height-30, 10:110]=imageOrj

##cam = cv2.VideoCapture(0)
while(cam.isOpened()):

while True:

ret, frame = cam.read()

if ret == False:
break

frame[height-130:height-30, 10:110]=imageOrj

image = frame[y1:y2, x1:x2, :]

kp, desc = sift.detectAndCompute(image, None)
score = find_score(desc, descROI)
print(score)

timeNow = time.time()
if (score)> 2:
timeFound = time.time()

if(timeNow-timeFound)>1:
print("Kayip Esya!!!")
cv2.putText(frame, 'Kayip Esya!!!', (x1, y1), 2, 1, (255, 255, 255), 1, cv2.LINE_AA)
color = (255, 255, 0)
else:
color = (0, 255, 0)


cv2.rectangle(frame, (x1, y1), (x2, y2), color, 3)
cv2.imshow('Frame', frame)



k = cv2.waitKey(1) & 0xff
if k == 27:
break

cv2.destroyAllWindows
del cam