Merhabalar,
Nette bulmuş olduğum örnegi denemek için yola çıktım ve çalıştırma aşamalarında hatalar almaya başladım.
Burda bu hataları çözmek Python ile daha çok haşır neşir olmak ve uygulamayı çalıştırmayı planlıyorum.
Örneği aldığım link:https://github.com/celalaygar/car-counting-with-python
import cv2
import numpy as np
class Kordinat:
def __init__(self,x,y):
self.x=x
self.y=y
class Sensor:
def __init__(self,kordinat1,kordinat2,frame_weight,frame_lenght):
self.kordinat1=kordinat1
self.kordinat2=kordinat2
self.frame_weight=frame_weight
self.frame_lenght =frame_lenght
self.mask=np.zeros((frame_weight,frame_lenght,1),np.uint8)*abs(self.kordinat2.y-self.kordinat1.y)
self.full_mask_area=abs(self.kordinat2.x-self.kordinat1.x)
cv2.rectangle(self.mask,(self.kordinat1.x,self.kordinat1.y),(self.kordinat2.x,self.kordinat2.y),(255),thickness=cv2.FILLED)
self.stuation=False
self.car_number_detected=0
video=cv2.VideoCapture("video1.mp4")
ret,frame=video.read()
cropped_image= frame[0:450, 0:450]
fgbg=cv2.createBackgroundSubtractorMOG2()
Sensor1 = Sensor(
Kordinat(1, cropped_image.shape[1] - 35),
Kordinat(340, cropped_image.shape[1] - 30),
cropped_image.shape[0],
cropped_image.shape[1])
kernel=np.ones((5,5),np.uint8)
font=cv2.FONT_HERSHEY_TRIPLEX
while (1):
ret,frame=video.read()
# resize frame
cropped_image= frame[0:450, 0:450]
# make morphology for frame
deleted_background=fgbg.apply(cropped_image)
opening_image=cv2.morphologyEx(deleted_background,cv2.MORPH_OPEN,kernel)
ret,opening_image=cv2.threshold(opening_image,125,255,cv2.THRESH_BINARY)
# detect moving anything
_, cnts = cv2.findContours(opening_image,cv2.RETR_TREE,cv2.CHAIN_APPROX_NONE)
result=cropped_image.copy()
zeros_image=np.zeros((cropped_image.shape[0], cropped_image.shape[1], 1), np.uint8)
# detect moving anything with loop
for cnt in cnts:
x,y,w,h=cv2.boundingRect(cnt)
if (w>75 and h>75 and w<160 and h<160 ):
cv2.rectangle(result,(x,y),(x+w,y+h),(255,0,0),thickness=2)
cv2.rectangle(zeros_image,(x,y),(x+w,y+h),(255),thickness=cv2.FILLED)
# detect whether there is car via bitwise_and
mask1=np.zeros((zeros_image.shape[0],zeros_image.shape[1],1),np.uint8)
mask_result=cv2.bitwise_or(zeros_image,zeros_image,mask=Sensor1.mask)
white_cell_number=np.sum(mask_result==255)
# detect to control whether car is passing under the red line sensor
sensor_rate=white_cell_number/Sensor1.full_mask_area
if sensor_rate>0:
print("result : ",sensor_rate)
# if car is passing under the red line sensor . red line sensor is yellow color.
if (sensor_rate>=0.9 and sensor_rate<3.1 and Sensor1.stuation==False):
# draw the red line
cv2.rectangle(result, (Sensor1.kordinat1.x, Sensor1.kordinat1.y), (Sensor1.kordinat2.x, Sensor1.kordinat2.y),
(0,255, 0,), thickness=cv2.FILLED)
Sensor1.stuation = True
elif (sensor_rate<0.9 and Sensor1.stuation==True) :
# draw the red line
cv2.rectangle(result, (Sensor1.kordinat1.x, Sensor1.kordinat1.y), (Sensor1.kordinat2.x, Sensor1.kordinat2.y),
(0, 0,255), thickness=cv2.FILLED)
Sensor1.stuation = False
Sensor1.car_number_detected+=1
else :
# draw the red line
cv2.rectangle(result, (Sensor1.kordinat1.x, Sensor1.kordinat1.y), (Sensor1.kordinat2.x, Sensor1.kordinat2.y),
(0, 0, 255), thickness=cv2.FILLED)
cv2.putText(result,str(Sensor1.car_number_detected),(Sensor1.kordinat1.x,150),font,2,(255,255,255))
cv2.imshow("video", result)
#cv2.imshow("mask_result", mask_result)
#cv2.imshow("zeros_image", zeros_image)
#cv2.imshow("opening_image", opening_image)
k=cv2.waitKey(30) & 0xff
if k == 27 :
break
video.release()
cv2.destroyAllWindows()
</code>
Calıştırdığımda cıkan hata.
Traceback (most recent call last):
File "C:/Users/Mehmet/PycharmProjects/OpenCV/counting_car_1.py", line 51, in
x,y,w,h=cv2.boundingRect(cnt)
cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\imgproc\src\shapedescr.cpp:784: error: (-215:Assertion failed) npoints >= 0 && (depth == CV_32F || depth == CV_32S) in function 'cv::pointSetBoundingRect'
PyCharm
Python 3.8
Python-OpenCV 4.2.0.34
Bu hataları almamdaki sebep versiyon farkımı yoksa yazım hatasımı mevcut.
Not: Whatsapp ta sordugum soruda ki hatayı
_, cnts =
bu kısımda
cnts den sonra " ,__" nin fazla olmasıymış.
