当我使用运行暗网 Yolov3 时，为什么我的 linux 终端上的 yolo.py 出现 AttributeError？

Question

错误（来自 linux 终端）：

文件“yolo.py”，第 98 行，位于 writer.release() AttributeError: 'NoneType' 对象没有属性 'release'

我添加了图片，重点关注包含错误的代码部分。为了以防万一，我还包含了文件的全部代码。我什至不知道为什么会收到该错误。

import numpy as np
import argparse
import cv2 as cv
import subprocess
import time
import os
from yolo_utils import infer_image

FLAGS = []

if __name__ == '__main__':
    parser = argparse.ArgumentParser()

    parser.add_argument('-w', '--weights',
        type=str,
        default='./yolov3.weights',
        help='Path to the file which contains the weights \
                for YOLOv3.')

    parser.add_argument('-cfg', '--config',
        type=str,
        default='./cfg/yolov3.cfg',
        help='Path to the configuration file for the YOLOv3 model.')

    parser.add_argument('-v', '--video-path',
        type=str,
        help='The path to the video file')


    parser.add_argument('-vo', '--video-output-path',
        type=str,
        default='./output.mp4',
        help='The path of the output video file')

    parser.add_argument('-l', '--labels',
        type=str,
        default='./coco-labels',
        help='Path to the file having the \
                    labels in a new-line seperated way.')

    parser.add_argument('-c', '--confidence',
        type=float,
        default=0.5,
        help='The model will reject boundaries which has a \
                probabiity less than the confidence value. \
                default: 0.5')

    parser.add_argument('-th', '--threshold',
        type=float,
        default=0.3,
        help='The threshold to use when applying the \
                Non-Max Suppresion')

    FLAGS, unparsed = parser.parse_known_args()

    # Get the labels
    labels = open(FLAGS.labels).read().strip().split('\n')

    # Intializing colors to represent each label uniquely
    colors = np.random.randint(0, 255, size=(len(labels), 3), dtype='uint8')

    # Load the weights and configutation to form the pretrained YOLOv3 model
    net = cv.dnn.readNetFromDarknet(FLAGS.config, FLAGS.weights)

    # Get the output layer names of the model
    layer_names = net.getLayerNames()
    layer_names = [layer_names[i[0] - 1] for i in net.getUnconnectedOutLayers()]

    # If both image and video files are given then raise error
    if FLAGS.video_path is None:
        print ('Path to video not provided')

    elif FLAGS.video_path:
        # Read the video
        vid = cv.VideoCapture(str(FLAGS.video_path))
        height, width, writer= None, None, None
        while True:

            grabbed, frame = vid.read()

            if not grabbed:
                break

            if width is None or height is None:
                height, width = frame.shape[:2]

            frame, _, _, _, _ = infer_image(net, layer_names, height, width, frame, colors, labels, FLAGS)

            if writer is None:
                fourcc = cv.VideoWriter_fourcc(*'mp4v')
                writer = cv.VideoWriter(FLAGS.video_output_path, fourcc, 30,(frame.shape[1], frame.shape[0]), True)


            writer.write(frame)


        print ("[INFO] Cleaning up...")
        writer.release()
        vid.release()


    else:
        print("[ERROR] Something's not right...")

显示错误所在代码的最后部分的图像：

Answer 1

当 grabbed 为 False 时，您打破了 while 循环，这意味着您从未分配过编写器，它被保存为 None 类型的对象。既然那是假的，说明你的视频采集失败，提示文件路径不对and/or忘了加视频扩展名

当我使用运行暗网 Yolov3 时，为什么我的 linux 终端上的 yolo.py 出现 AttributeError？

Why am I getting AttributeError in yolo.py on my linux terminal when i run darknet Yolov3?

python

darknet

当我使用 运行 暗网 Yolov3 时，为什么我的 linux 终端上的 yolo.py 出现 AttributeError？

Why am I getting AttributeError in yolo.py on my linux terminal when i run darknet Yolov3?

python

darknet

当我使用运行暗网 Yolov3 时，为什么我的 linux 终端上的 yolo.py 出现 AttributeError？