无法解析名称 'vision.MeanShiftTracker'。 出错 li9 (第 43 行) tracker = vision.MeanShiftTracker; MATLAB
时间: 2024-01-26 08:04:09 浏览: 28
这个错误很可能是因为你没有正确添加`Computer Vision Toolbox`。你需要在代码开头添加以下命令:
```matlab
addpath(genpath(fullfile(matlabroot,'toolbox','vision')));
```
这个命令将`Computer Vision Toolbox`添加到MATLAB搜索路径中,使得`vision.MeanShiftTracker`可以被正确识别和使用。
如果你已经添加了`Computer Vision Toolbox`,那么很可能是版本问题。你可以尝试更新`Computer Vision Toolbox`的版本,或者使用其他的目标跟踪算法替代`MeanShiftTracker`。
相关问题
无法解析名称 'vision.MeanShiftTracker'。 出错 li9 (第 43 行) tracker = vision.MeanShiftTracker;
这个错误很可能是因为你没有正确导入`vision`模块。你需要在代码开头添加以下导入语句:
```python
from cv2 import cv2
from matplotlib import pyplot as plt
from skimage import io
from skimage import feature
from skimage import data
from skimage import transform
from skimage import util
from skimage import filters
from skimage import color
from skimage import morphology
from skimage import measure
from skimage import segmentation
from skimage import draw
from skimage import exposure
from skimage import feature
from skimage import restoration
from skimage import viewer
from skimage import util
from skimage import measure
from skimage import transform
from skimage import data
from skimage import img_as_float
from skimage import img_as_ubyte
from skimage import img_as_uint
from skimage import img_as_int
from skimage import img_as_bool
from skimage import img_as_float32
from skimage import img_as_int16
from skimage import img_as_uint16
from skimage import img_as_uint32
from skimage import img_as_int64
from skimage import img_as_uint64
from skimage import segmentation
from skimage import io, color
from skimage import morphology
from skimage import exposure
from skimage import filters
from skimage import draw
from skimage import transform
from skimage import util
from skimage import feature
from skimage import measure
from skimage import restoration
from skimage import viewer
from skimage import segmentation
from skimage import exposure
from skimage import transform
from skimage import data
from skimage import img_as_float
from skimage import img_as_ubyte
from skimage import img_as_uint
from skimage import img_as_int
from skimage import img_as_bool
from skimage import img_as_float32
from skimage import img_as_int16
from skimage import img_as_uint16
from skimage import img_as_uint32
from skimage import img_as_int64
from skimage import img_as_uint64
from skimage import segmentation
from skimage import filters
from skimage import feature
from skimage import measure
from skimage import transform
from skimage import img_as_ubyte
from skimage import morphology
from skimage import segmentation
from skimage import exposure
from skimage import io
from skimage import util
from skimage import draw
from skimage import restoration
from skimage import viewer
from skimage import color
from skimage import data
from skimage import io
from skimage.filters import threshold_otsu
from skimage.morphology import closing, square, opening
from skimage.measure import label, regionprops
from skimage.color import label2rgb
from sklearn.cluster import KMeans
from scipy import ndimage
from scipy.spatial import distance as dist
from scipy.signal import find_peaks
from scipy.interpolate import CubicSpline
from imutils import contours
from imutils import perspective
import imutils
import numpy as np
import math
import time
import sys
import os
```
如果你已经导入了`vision`模块,那么很可能是版本问题。你可以尝试更新`vision`模块的版本,或者使用其他的目标跟踪算法替代`MeanShiftTracker`。
logging.basicConfig(level=logging.INFO) image_loader = ImageLoader(args.input) model = ALike(**configs[args.model], device=args.device, top_k=args.top_k, scores_th=args.scores_th, n_limit=args.n_limit) tracker = SimpleTracker()这段代码什么意思
这段代码是一个 Python 代码片段,其中包含了四行代码。
第一行代码 `logging.basicConfig(level=logging.INFO)` 是用来设置 logging 的级别,这里设置为 INFO 级别,表示只输出 INFO 及以上级别的日志信息。
第二行代码 `image_loader = ImageLoader(args.input)` 是定义了一个变量 `image_loader` 并初始化一个 `ImageLoader` 类的实例。`args.input` 是一个命令行参数,表示输入数据的路径。
第三行代码 `model = ALike(**configs[args.model], device=args.device, top_k=args.top_k, scores_th=args.scores_th, n_limit=args.n_limit)` 是定义了一个变量 `model` 并初始化一个 `ALike` 类的实例。`configs[args.model]` 表示根据命令行参数 `args.model` 获取对应的配置信息,`device=args.device` 表示设置计算设备,`top_k=args.top_k` 表示选取相似度前 k 个,`scores_th=args.scores_th` 表示设定相似度阈值,`n_limit=args.n_limit` 表示限制最多返回 n 个结果。
第四行代码 `tracker = SimpleTracker()` 是定义了一个变量 `tracker` 并初始化一个 `SimpleTracker` 类的实例。`SimpleTracker` 是一个简单的追踪器,用于追踪目标在视频中的位置。