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import cv2
import pandas as pd
from ultralytics import YOLO
from tracker import*
model=YOLO('yolov8s.pt')
def RGB(event, x, y, flags, param):
if event == cv2.EVENT_MOUSEMOVE :
colorsBGR = [x, y]
print(colorsBGR)
cv2.namedWindow('RGB')
cv2.setMouseCallback('RGB', RGB)
cap=cv2.VideoCapture('veh2.mp4')
my_file = open("coco.txt", "r")
data = my_file.read()
class_list = data.split("\n")
#print(class_list)
count=0
tracker=Tracker()
cy1=322
cy2=368
offset=6
while True:
ret,frame = cap.read()
if not ret:
break
count += 1
if count % 3 != 0:
continue
frame=cv2.resize(frame,(1020,500))
results=model.predict(frame)
# print(results)
a=results[0].boxes.data
px=pd.DataFrame(a).astype("float")
# print(px)
list=[]
for index,row in px.iterrows():
# print(row)
x1=int(row[0])
y1=int(row[1])
x2=int(row[2])
y2=int(row[3])
d=int(row[5])
c=class_list[d]
if 'car' in c:
list.append([x1,y1,x2,y2])
bbox_id=tracker.update(list)
for bbox in bbox_id:
x3,y3,x4,y4,id=bbox
cx=int(x3+x4)//2
cy=int(y3+y4)//2
cv2.circle(frame,(cx,cy),4,(0,0,255),-1)
cv2.putText(frame,str(id),(cx,cy),cv2.FONT_HERSHEY_COMPLEX,0.8,(0,255,255),2)
# cv2.line(frame,(274,cy1),(814,cy1),(255,255,255),1)
# cv2.line(frame,(177,cy2),(927,cy2),(255,255,255),1)
cv2.imshow("RGB", frame)
if cv2.waitKey(1)&0xFF==27:
break
cap.release()
cv2.destroyAllWindows()
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