如何解析TypeError:“int”和“str”实例之间不支持“<”？

Question

我尝试使用以下代码从以下链接训练Keras-I3D模型：

https://github.com/srijandas07/i3d。我稍微修改了代码，但我可以让它工作。在

导入的模块是

import os
os.environ['KERAS_BACKEND'] = 'tensorflow'

os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"   
os.environ["CUDA_VISIBLE_DEVICES"]="3" 

from keras.layers import Dense, Flatten, Dropout, Reshape
from keras import regularizers
from keras.preprocessing import image
from keras.models import Model, load_model
from keras.applications.vgg16 import preprocess_input
from keras.utils import to_categorical
from keras.optimizers import SGD
from i3d_inception import Inception_Inflated3d, conv3d_bn
from keras.callbacks import ReduceLROnPlateau, ModelCheckpoint, CSVLogger, Callback
from keras.utils import Sequence, multi_gpu_model

import random
import sys
from multiprocessing import cpu_count
import numpy as np
import glob
from skimage.io import imread
import cv2

一些定义

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class CustomModelCheckpoint(Callback):

    def __init__(self, model_parallel, path):

        super(CustomModelCheckpoint, self).__init__()

        self.save_model = model_parallel
        self.path = path
        self.nb_epoch = 0

    def on_epoch_end(self, epoch, logs=None):
        self.nb_epoch += 1
        self.save_model.save(self.path + str(self.nb_epoch) + '.hdf5')


i3d = i3d_modified(weights = 'rgb_imagenet_and_kinetics')
model = i3d.i3d_flattened(num_classes = num_classes)
optim = SGD(lr = 0.01, momentum = 0.9)

reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor = 0.1, patience = 10)
csvlogger = CSVLogger('i3d_'+model_name+'.csv')

model.compile(loss = 'categorical_crossentropy', optimizer = optim, metrics = ['accuracy'])

model_checkpoint = CustomModelCheckpoint(model, './weights_'+model_name+'/epoch_')    

train_generator = DataLoader_video_train('/train_CS.txt',version, batch_size = batch_size)
test_generator = DataLoader_video_test('/test_CS.txt', version, batch_size = batch_size)

安装发电机

model.fit_generator(
    generator = train_generator,
    #validation_data=val_generator,
    epochs = epochs, 
    steps_per_epoch = 17, 
    callbacks = [csvlogger, reduce_lr, model_checkpoint], 
    max_queue_size = 48,
    workers = cpu_count() - 2,
    use_multiprocessing = True,
)

print(model.evaluate_generator(generator = test_generator))

我得到以下错误

runfile('D:/Clones/i3d-master/i3d_train.py', wdir='D:/Clones/i3d-master')
Reloaded modules: i3d_inception
C:\Users\sancy\Anaconda3\lib\site-packages\keras\engine\training_generator.py:47: UserWarning: Using a generator with `use_multiprocessing=True` and multiple workers may duplicate your data. Please consider using the`keras.utils.Sequence class.
  UserWarning('Using a generator with `use_multiprocessing=True`'
Traceback (most recent call last):

  File "<ipython-input-8-8f7b9cc152d8>", line 1, in <module>
    runfile('D:/Clones/i3d-master/i3d_train.py', wdir='D:/Clones/i3d-master')

  File "C:\Users\sancy\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
    execfile(filename, namespace)

  File "C:\Users\sancy\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

  File "D:/Clones/i3d-master/i3d_train.py", line 108, in <module>
    use_multiprocessing = True,

  File "C:\Users\sancy\Anaconda3\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
    return func(*args, **kwargs)

  File "C:\Users\sancy\Anaconda3\lib\site-packages\keras\engine\training.py", line 1418, in fit_generator
    initial_epoch=initial_epoch)

  File "C:\Users\sancy\Anaconda3\lib\site-packages\keras\engine\training_generator.py", line 174, in fit_generator
    while epoch < epochs:

TypeError: '<' not supported between instances of 'int' and 'str'

我做错什么了？epoch < epochs是什么意思？在

Windows 10 python 3.7.1 斯派德：3.7

Answer 1

你是如何运行代码的？看看Github repo，它有3个参数

i3d_train.py

epochs = int(sys.argv[1])
model_name = sys.argv[2]
version = sys.argv[3]

finetune.sh

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在终端上，你应该这样运行

python ./i3d_train.py <epochs> <model_name> <version>