I am trying to yolo in opencv but getting the error

error CODE IS BELOW

import cv2
import numpy as np
import time
 
time

# Load Yolo
 
Yolo
net = cv2.dnn.readNet("weights/yolov3-tiny.weights", "cfg/yolov3-tiny.cfg")
classes = []
with open("coco.names", "r") as f:
    classes = [line.strip() for line in f.readlines()]
layer_names = net.getLayerNames()
output_layers = [layer_names[i[0] - 1] for i in net.getUnconnectedOutLayers()]
colors = np.random.uniform(0, 255, size=(len(classes), 3))
 
3))

# Loading image
 
image
cap = cv2.VideoCapture(0)
 
cv2.VideoCapture(0)

font = cv2.FONT_HERSHEY_PLAIN
starting_time = time.time()
frame_id = 0
while True:
    _, frame = cap.read()
    frame_id += 1
 
1

    height, width, channels = frame.shape

 # Detecting objects
 blob = cv2.dnn.blobFromImage(frame, 0.00392, (416, 416), (0, 0, 0), True, crop=False)

 net.setInput(blob)
 outs = net.forward(output_layers)

 # Showing informations on the screen
 class_ids = []
 confidences = []
 boxes = []
 for out in outs:
     for detection in out:
         scores = detection[5:]
         class_id = np.argmax(scores)
         confidence = scores[class_id]
         if confidence > 0.2:
             # Object detected
             center_x = int(detection[0] * width)
             center_y = int(detection[1] * height)
             w = int(detection[2] * width)
             h = int(detection[3] * height)

             # Rectangle coordinates
             x = int(center_x - w / 2)
             y = int(center_y - h / 2)

             boxes.append([x, y, w, h])
             confidences.append(float(confidence))
             class_ids.append(class_id)

 indexes = cv2.dnn.NMSBoxes(boxes, confidences, 0.8, 0.3)

 for i in range(len(boxes)):
     if i in indexes:
         x, y, w, h = boxes[i]
         label = str(classes[class_ids[i]])
         confidence = confidences[i]
         color = colors[class_ids[i]]
         cv2.rectangle(frame, (x, y), (x + w, y + h), color, 2)
         cv2.putText(frame, label + " " + str(round(confidence, 2)), (x, y + 30), font, 3, color, 3)



 elapsed_time = time.time() - starting_time
 fps = frame_id / elapsed_time
 cv2.putText(frame, "FPS: " + str(round(fps, 2)), (10, 50), font, 4, (0, 0, 0), 3)
 cv2.imshow("Image", frame)
 key = cv2.waitKey(1)
 if key == 27:
     break

cap.release()
cv2.destroyAllWindows()
 
cap.release()
cv2.destroyAllWindows()ERROR
 
ERROR
 
Traceback (most recent call last):
  File "C:\Users\iamfa\Desktop\yolo_realtime_detection_cpu\real_time_yolo.py", line 6, in <module>
    net = cv2.dnn.readNet("weights/yolov3-tiny.weights", "cfg/yolov3-tiny.cfg")
cv2.error: OpenCV(4.1.2) C:\projects\opencv-python\opencv\modules\dnn\src\darknet\darknet_importer.cpp:214: error: (-212:Parsing error) Failed to parse NetParameter file: weights/yolov3-tiny.weights in function 'cv::dnn::dnn4_v20190902::readNetFromDarknet'
 
'cv::dnn::dnn4_v20190902::readNetFromDarknet'

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