AttributeError: 'NoneType' object has no attribute 'shape'

[kuber-khanna]

So I was working on this code for social distancing detection using AI and I am consistently getting an error in line 18. Kindly help me with this. `import numpy as np import time import cv2 import math

labelsPath = "./coco.names" LABELS = open(labelsPath).read().strip().split("\n")

np.random.seed(42) COLORS = np.random.randint(0, 255, size=(len(LABELS), 3), dtype="uint8")

weightsPath = "./yolov3.weights" configPath = "./yolov3.cfg" cap = cv2.VideoCapture('./videos/example.mp4') hasFrame, frame = cap.read() net = cv2.dnn.readNetFromDarknet(configPath, weightsPath) vid_writer = cv2.VideoWriter('output.mp4',cv2.VideoWriter_fourcc('M','J','P','G'), 10, (frame.shape[1], frame.shape[0]))

while cv2.waitKey(1) < 0:

ret,image=cap.read()
image=cv2.resize(image,(640,360))
(H, W) = image.shape[:2]
ln = net.getLayerNames()
ln = [ln[i[0] - 1] for i in net.getUnconnectedOutLayers()]
blob = cv2.dnn.blobFromImage(image, 1 / 300.0, (416, 416),swapRB=True, crop=False)
net.setInput(blob)
start = time.time()
layerOutputs = net.forward(ln)
end = time.time()
print("Frame Prediction Time : {:.6f} seconds".format(end - start))
boxes = []
confidences = []
classIDs = []
for output in layerOutputs:
    for detection in output:
        scores = detection[5:]
        classID = np.argmax(scores)
        confidence = scores[classID]
        if confidence > 0.1 and classID == 0:
            box = detection[0:4] * np.array([W, H, W, H])
            (centerX, centerY, width, height) = box.astype("int")
            x = int(centerX - (width / 2))
            y = int(centerY - (height / 2))
            boxes.append([x, y, int(width), int(height)])
            confidences.append(float(confidence))
            classIDs.append(classID)

idxs = cv2.dnn.NMSBoxes(boxes, confidences, 0.5,0.3)
ind = []
for i in range(0,len(classIDs)):
    if(classIDs[i]==0):
        ind.append(i)
a = []
b = []

if len(idxs) > 0:
        for i in idxs.flatten():
            (x, y) = (boxes[i][0], boxes[i][1])
            (w, h) = (boxes[i][2], boxes[i][3])
            a.append(x)
            b.append(y)

distance=[] 
nsd = []
for i in range(0,len(a)-1):
    for k in range(1,len(a)):
        if(k==i):
            break
        else:
            x_dist = (a[k] - a[i])
            y_dist = (b[k] - b[i])
            d = math.sqrt(x_dist * x_dist + y_dist * y_dist)
            distance.append(d)
            if(d <=100):
                nsd.append(i)
                nsd.append(k)
            nsd = list(dict.fromkeys(nsd))
            print(nsd)
color = (0, 0, 255) 
for i in nsd:
    (x, y) = (boxes[i][0], boxes[i][1])
    (w, h) = (boxes[i][2], boxes[i][3])
    cv2.rectangle(image, (x, y), (x + w, y + h), color, 2)
    text = "Alert"
    cv2.putText(image, text, (x, y - 5), cv2.FONT_HERSHEY_SIMPLEX,0.5, color, 2)
color = (0, 255, 0) 
if len(idxs) > 0:
    for i in idxs.flatten():
        if (i in nsd):
            break
        else:
            (x, y) = (boxes[i][0], boxes[i][1])
            (w, h) = (boxes[i][2], boxes[i][3])
            cv2.rectangle(image, (x, y), (x + w, y + h), color, 2)
            text = 'OK'
            cv2.putText(image, text, (x, y - 5), cv2.FONT_HERSHEY_SIMPLEX,0.5, color, 2)   

cv2.imshow("Social Distancing Detector", image)
if cv2.waitKey(1) & 0xFF == ord('q'):
    break
vid_writer.write(image)

vid_writer.release() cap.release() cv2.destroyAllWindows()`

The error is: `--------------------------------------------------------------------------- AttributeError Traceback (most recent call last)

in 16 hasFrame, frame = cap.read() 17 net = cv2.dnn.readNetFromDarknet(configPath, weightsPath) ---> 18 vid_writer = cv2.VideoWriter('output.mp4',cv2.VideoWriter_fourcc('M','J','P','G'), 10, (frame.shape[1], frame.shape[0])) 19 20 AttributeError: 'NoneType' object has no attribute 'shape'` Please help me with this. According to me, the error is in the shape which I am using.