训练alexnet模型后返回的输出文件......？

时间：2017-06-04 14:04:26

标签： python tensorflow conv-neural-network tflearn

代码是用Python 3.5.X

编写的

请尝试为第三年的计算机科学专业学生解答答案

来自train_model.py的输出文件似乎是model.meta文件，但test_model.py要求提供.model文件。教程用户有一个.model文件，我似乎无法理解为什么我要使用.model.meta获取文件

我正在尝试通过Python玩GTA San Andreas，或者更确切地说，GTA中的汽车是由模型驱动的。 它将屏幕帧作为输入并在训练期间记录键i输入。该训练数据用于训练模型。

培训模型的代码 

import numpy as np
import cv2
import time
from grabscreen import grab_screen
from getkeys import key_check
from directkeys import PressKey, ReleaseKey, W, A, S, D
from alexnet import alexnet


WIDTH = 80
HEIGHT = 60
LR = 1e-3
EPOCHS = 8
MODEL_NAME = 'pygta_sa-car-{}-{}-{}-epochs.model'.format(LR, 'alexnetv2',EPOCHS) 


def straight():
    PressKey(W)
    ReleaseKey(A)
    ReleaseKey(D)

def left():
    PressKey(W)
    PressKey(A)
    ReleaseKey(D)

def right():
    PressKey(W)
    PressKey(D)
    ReleaseKey(A)

model = alexnet(WIDTH, HEIGHT, LR)
model.load(MODEL_NAME)

def main():

    for i in list(range(10))[::-1]:
        print(i+1)
        time.sleep(1)

    last_time = time.time()

    paused = False

    while True:
        if not paused:

            screen = grab_screen(region=(0,40,800,640))
            screen = cv2.cvtColor(screen,cv2.COLOR_BGR2GRAY)
            screen = cv2.resize(screen,(80,60))
            print('Frame took {} seconds'.format(time.time()-last_time))
            last_time = time.time()

            moves = list(np.around(model.predict([screen.reshape(80,60,1)])[0]))
            print(moves, prediction)

            if moves == [1,0,0]:
                left()
            elif moves == [0,1,0]:
                straight()
            elif moves == [0,0,1]:
                right()

        keys = key_check()

    # p pauses game and can get annoying.
        if 'T' in keys:
            if paused:
                paused = False
                time.sleep(1)
            else:
                paused = True
                ReleaseKey(A) 
                ReleaseKey(W)
                ReleaseKey(D)
                time.sleep(1)

main()

培训成功完成并返回文件

我用来执行此项目的教程视频中返回的文件

sent_dex files returned

检查点文件的内容

model_checkpoint_path：＆＃34; F：\ play_gta_sa \ pygta_sa-car-0.001-alextnetv2-8-epochs.model＆＃34; all_model_checkpoint_paths：＆＃34; F：\ play_gta_sa \ pygta_sa-car-0.001-alextnetv2-8-epochs.model＆＃34;

在游戏中测试模型的代码 

Traceback (most recent call last):
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1039, in _do_call
    return fn(*args)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1021, in _run_fn
    status, run_metadata)
  File "C:\Program Files\Python35\lib\contextlib.py", line 66, in __exit__
    next(self.gen)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 466, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for F:\play_gta_sa\pygta_sa-car-0.001-alexnetv2-8-epochs.model
     [[Node: save_1/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_1/Const_0, save_1/RestoreV2/tensor_names, save_1/RestoreV2/shape_and_slices)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "F:\play_gta_sa\test_model.py", line 33, in <module>
    model.load(MODEL_NAME)
  File "C:\Program Files\Python35\lib\site-packages\tflearn\models\dnn.py", line 282, in load
    self.trainer.restore(model_file, weights_only, **optargs)
  File "C:\Program Files\Python35\lib\site-packages\tflearn\helpers\trainer.py", line 452, in restore
    self.restorer.restore(self.session, model_file)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1457, in restore
    {self.saver_def.filename_tensor_name: save_path})
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\client\session.py", line 778, in run
    run_metadata_ptr)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\client\session.py", line 982, in _run
    feed_dict_string, options, run_metadata)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1032, in _do_run
    target_list, options, run_metadata)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1052, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.NotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for F:\play_gta_sa\pygta_sa-car-0.001-alexnetv2-8-epochs.model
     [[Node: save_1/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_1/Const_0, save_1/RestoreV2/tensor_names, save_1/RestoreV2/shape_and_slices)]]

Caused by op 'save_1/RestoreV2', defined at:
  File "<string>", line 1, in <module>
  File "C:\Program Files\Python35\lib\idlelib\run.py", line 124, in main
    ret = method(*args, **kwargs)
  File "C:\Program Files\Python35\lib\idlelib\run.py", line 351, in runcode
    exec(code, self.locals)
  File "F:\play_gta_sa\test_model.py", line 32, in <module>
    model = alexnet(WIDTH, HEIGHT, LR)
  File "F:\play_gta_sa\alexnet.py", line 40, in alexnet
    max_checkpoints=1, tensorboard_verbose=0, tensorboard_dir='log')
  File "C:\Program Files\Python35\lib\site-packages\tflearn\models\dnn.py", line 64, in __init__
    best_val_accuracy=best_val_accuracy)
  File "C:\Program Files\Python35\lib\site-packages\tflearn\helpers\trainer.py", line 147, in __init__
    allow_empty=True)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1056, in __init__
    self.build()
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 1086, in build
    restore_sequentially=self._restore_sequentially)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 691, in build
    restore_sequentially, reshape)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 407, in _AddRestoreOps
    tensors = self.restore_op(filename_tensor, saveable, preferred_shard)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\training\saver.py", line 247, in restore_op
    [spec.tensor.dtype])[0])
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 669, in restore_v2
    dtypes=dtypes, name=name)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 768, in apply_op
    op_def=op_def)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2336, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "C:\Program Files\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1228, in __init__
    self._traceback = _extract_stack()

NotFoundError (see above for traceback): Unsuccessful TensorSliceReader constructor: Failed to find any matching files for F:\play_gta_sa\pygta_sa-car-0.001-alexnetv2-8-epochs.model
     [[Node: save_1/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/cpu:0"](_recv_save_1/Const_0, save_1/RestoreV2/tensor_names, save_1/RestoreV2/shape_and_slices)]]

运行测试模型的错误消息

import urllib.request
url = 'https://your/url.xxx'
username = 'username'
password = 'password'
passman = urllib.request.HTTPPasswordMgrWithDefaultRealm()
passman.add_password(None, url, username, password)
auth_handler = urllib.request.HTTPBasicAuthHandler(passman)
opener = urllib.request.build_opener(auth_handler)
urllib.request.install_opener(opener)
resp = urllib.request.urlopen(url)
data = resp.read()

2 个答案:

答案 0 :(得分：0)

感谢您的更新。

编辑：

尝试在tf.reset_default_graph()加载模型之前添加此行。那是

import tensorflow as tf
tf.reset_default_graph()
model = alexnet(WIDTH, HEIGHT, LR)
model.load(MODEL_NAME)

答案 1 :(得分：0)

这个错误的关键是：

Unsuccessful TensorSliceReader constructor: Failed to find any matching files for F:\play_gta_sa\pygta_sa-car-0.001-alexnetv2-8-epochs.model

好的，所以找不到典型的＆＃34;文件。＆＃34;我们有信心我们有这个档案吗？也许，但是，如果它在那里，它会被发现。我们的第一个猜测应该是我们被打错或以其他方式犯了错误。让我们看一下您的模型文件：

对于训练模型，您有：

MODEL_NAME = 'pygta_sa-car-{}-{}-{}-epochs.model'.format(LR, 'alextnetv2', EPOCHS)

为了测试模型，你有：

MODEL_NAME = 'pygta_sa-car-{}-{}-{}-epochs.model'.format(LR, 'alexnetv2',EPOCHS)

你看到了区别吗？这是一个错字。 alextnetv2 vs alexnetv2

修复此问题，至少可以找到该文件。

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