从文件路径中删除目录

Question

我使用 Python 和 Keras 制作了一个卷积神经网络。我在测试集上测试我的模型，每个类的图像数量是随机的（1 个文件夹包含 x 数量的图像）。我能够获得一个数据框，其中显示图像和目录的文件名以及预测。我想从文件名中删除目录。它随机显示 350 张图像/dogs1.tif，我希望它只显示 dogs1.tif。  #import my modelnew_model = tf.keras.models.load_model('model folder')#upload my test datatrain_datagen = ImageDataGenerator(rescale=1./255)test_batches = train_datagen.flow_from_directory(        'folder containing random images',        target_size=(224, 224),        batch_size=10,        classes = None,        class_mode = None,        shuffle = False)#my predictionpredictions = new_model.predict(test_batches, steps=35, verbose=0)#rounding my predctionsrounded_predictions = np.argmax(predictions, axis = -1)#converting one hot encoded labels to categorical labels labels =["dog","cat","horse"]names = [0,1,2]labels_name = dict(zip(names, labels))#joining them togetherlabels_name = dict((v,k) for k,v in labels_name.items())predictions = [labels[k] for k in rounded_predictions]#getting files names for the imagesfilenames= test_batches.filenames#creating the dataframeresults=pd.DataFrame({"file":filenames,"pr":predictions})

Answer 1

#getting files names for the images

filenames= test_batches.filenames

filename_extr=[]

for i in filenames:

  filename_extr.append(os.path.basename(i))

#creating the dataframe

results=pd.DataFrame({"file":filename_extr,"pr":predictions})

应该做的。（这（使用 for 循环）只是一种方法。当然还有很多其他方法。）