KNN图片分类器：权限和内存错误

2024-06-01 • 问答

我正在尝试创建一个区分猫与狗的KNN图像分类器。但是，每次尝试进行预测时，都会遇到内存错误和权限错误：

import numpy as np
import matplotlib.pyplot as plt
import os
import cv2
import tensorflow as tf

Datadir ="C:/Users/NIMROID/Music/PetImages"
typess =["Dog","Cat"]

for types in typess:
   path =os.path.join(Datadir,types)
      for img in os.listdir(path):
          img_array =cv2.imread(os.path.join(path,img),cv2.IMREAD_GRAYSCALE)
IMG_SIZE= 50
training_data = []

def create_training_data():
    for types in typess:
        path =os.path.join(Datadir,types)
        class_num = typess.index(types)
    for img in os.listdir(path):
        try:
            img_array =cv2.imread(os.path.join(path,cv2.IMREAD_GRAYSCALE)
            new_array =cv2.resize(img_array,(IMG_SIZE,IMG_SIZE))
            training_data.append([new_array,class_num])
        except Exception as e:
            pass

        create_training_data()
        import random
        random.shuffle(training_data)
        X= []
        y= []
        for features,label in training_data:
             X.append(features)
            y.append(features)

       X= np.array(X)
       y=np.array(y)
       from sklearn.model_selection import train_test_split
       X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.1)
       X_train=tf.keras.utils.normalize(X_train,axis=1)
       X_test= tf.keras.utils.normalize(X_test,axis=1)
       X_train= X_train.reshape(-1,IMG_SIZE*IMG_SIZE)
       X_test= X_test.reshape(-1,IMG_SIZE*IMG_SIZE)
       from sklearn.neighbors import KNeighborsClassifier as kn
       from sklearn.multioutput import MultiOutputClassifier
       knni= kn(n_neighbors =5)
       knn = MultiOutputClassifier(knni,n_jobs=-1)
       knn.fit(X_train,y_train)

  _rmtree_unsafe中的
〜.conda \ envs \ nimrod \ lib \ shutil.py（path，onerror）        其他391条：        392尝试：        -> 393 os.unlink（全名）        394（除OSError外）：        395 onerror（os.unlink，fullname，sys.exc_info（））

PermissionError：[WinError 32]进程无法访问文件   因为它正在被另一个进程使用：   'C：\ Users \ NIMROID \ AppData \ Local \ Temp            \ \ joblib_memmapping_folder_9268_8897152710 \ 9268-2914779649472-8c4617f562464b2e82b25e82d72afe18.pkl'              MemoryError追溯（最近一次通话）             〜.conda \ envs \ nimrod \ lib \ site-packages \ joblib \ parallel.py在remove（self）               907如果getattr（self._backend，'supports_timeout'，False）：                -> 908 self._output.extend（job.get（timeout = self.timeout））                909其他：
       ~\.conda\envs\nimrod\lib\site-packages\joblib\_parallel_backends.py in
wrap_future_result（未来，超时） 553尝试： -> 554返回future.result（timeout = timeout） 555，除了LokyTimeoutError：

阅读错误消息：

PermissionError: [WinError 32] The process cannot access the file because it is being used by another process

就这么简单吗？

非常抱歉

for features,label in training_data:
         X.append(features)
        y.append(features)

应该是错误的

for features,label in training_data:
         X.append(features)
        y.append(label)

和

   from sklearn.neighbors import KNeighborsClassifier as kn
   from sklearn.multioutput import MultiOutputClassifier
   knni= kn(n_neighbors =5)
   knn = MultiOutputClassifier(knni,n_jobs=-1) #wrong

应该是

from sklearn.neighbors import KNeighborsClassifier as kn
knn= kn(n_neighbors =5)
knn.fit(X_train,y_train)

效果很好，准确度达到了59％，爱你们

KNN图片分类器：权限和内存错误

kaorouwoaichi 回答：KNN图片分类器：权限和内存错误

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