I am trying to read live camera feed and detect the object using Yolov8 and CV2. It works with web cam but when I supply rtsp url it works for few frames and then not able to read frames. If i read rtsp without any processing then it works.
Here is code.
from ultralytics import YOLO
import cv2
rtsp_url = "url"
cap = cv2.VideoCapture(rtsp_url)
model = YOLO("../Yolo-Weights/yolov8l.pt")
classNames = ["person", "bicycle", "car", "motorbike", "aeroplane", "bus", "train", "truck", "boat"]
if not cap.isOpened():
print("Error: Could not open RTSP stream.")
exit()
myColor = (0, 0, 255)
while True:
success, img = cap.read()
if not success or img is None or img.size == 0:
print("Error: Could not read frame.")
continue
resized_frame = cv2.resize(img, (800, 600))
results = model(resized_frame, stream=True)
for r in results:
boxes = r.boxes
for box in boxes:
# Bounding Box
x1, y1, x2, y2 = box.xyxy[0]
x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2)
# cv2.rectangle(img,(x1,y1),(x2,y2),(255,0,255),3)
w, h = x2 - x1, y2 - y1
# cvzone.cornerRect(img, (x1, y1, w, h))
# Confidence
conf = math.ceil((box.conf[0] * 100)) / 100
# Class Name
cls = int(box.cls[0])
currentClass = classNames[cls]
# if conf > 0.5:
# if currentClass == 'NO-Hardhat' or currentClass == 'NO-Safety Vest' or currentClass == "NO-Mask":
# myColor = (0, 0, 255)
# elif currentClass == 'Hardhat' or currentClass == 'Safety Vest' or currentClass == "Mask":
# myColor = (0, 255, 0)
# else:
myColor = (255, 0, 0)
cvzone.putTextRect(img, f'{classNames[cls]} {conf}',
(max(0, x1), max(35, y1)), scale=1, thickness=1, colorB=myColor,
colorT=(255, 255, 255), colorR=myColor, offset=5)
cv2.rectangle(img, (x1, y1), (x2, y2), myColor, 3)
cv2.imshow("Image", resized_frame)
cv2.waitKey(1)
If I remove for loop of boxes & results it will work else after few frames it will give "Error: Could not read frame."
I want it should detect object from live feed continously as I checked camera is working fine.