Python 培训alexnet模型后返回的输出文件。。。？

代码是用Python 3.5.X编写的

请尽量为计算机科学三年级学生提供简单的答案

train_model.py的输出文件似乎是model.meta文件，但test_model.py要求一个.model文件。教程用户也有一个.model文件，我似乎不明白为什么我会得到一个带有.model.meta的文件

我试图通过Python玩GTA San Andreas，或者更准确地说，GTA中的汽车是由模型驱动的。 它将屏幕帧作为输入，并记录训练期间输入的键。该训练数据用于训练模型

模型培训代码

import numpy as np
from alexnet import alexnet

WIDTH = 80
HEIGHT = 60
LR = 1e-3
EPOCHS = 8
MODEL_NAME = 'pygta_sa-car-{}-{}-{}-epochs.model'.format(LR, 'alextnetv2', EPOCHS)

model = alexnet(WIDTH, HEIGHT, LR)

train_data = np.load('training_data_v2.npy')

train = train_data[:-500]
test = train_data[-500:]

X = np.array([i[0] for i in train]).reshape(-1,WIDTH,HEIGHT,1)
Y = [i[1] for i in train]

test_x = np.array([i[0] for i in test]).reshape(-1,WIDTH,HEIGHT,1)
test_y = [i[1] for i in test]

model.fit({'input': X}, {'targets': Y}, n_epoch=EPOCHS, validation_set=({'input': test_x}, {'targets': test_y}), 
    snapshot_step=500, show_metric=True, run_id=MODEL_NAME)

# tensorboard --logdir=foo:F:\play_gta_sa\log

model.save(MODEL_NAME)

培训成功完成并返回文件

我用来做这个项目的教程视频中返回的文件

检查点文件的内容

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()

模型检查点路径：“F:\play_gta_sa\pygta_sa-car-0.001-alextnetv2-8-epochs.model” 所有模型检查点路径：“F:\play_gta_sa\pygta_sa-car-0.001-alextnetv2-8-epochs.model”

在游戏中测试模型的代码

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()

运行测试模型时出现错误消息

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)]]

回溯（最近一次呼叫最后一次）：
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\client\session.py”，第1039行，在调用中
返回fn（*args）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\client\session.py”，第1021行，在\u run\u fn中
状态，运行（元数据）
文件“C:\Program Files\Python35\lib\contextlib.py”，第66行，在退出时__
下一个（self.gen）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\framework\errors\u impl.py”，第466行，处于raise\u exception\u on\u not\u ok\u状态
pywrap_tensorflow.TF_GetCode（状态））
tensorflow.python.framework.errors\u impl.NotFoundError:不成功的TensorSliceReader构造函数：找不到F:\play\u gta\u sa\pygta\u sa-car-0.001-alexnetv2-8-epochs.model的任何匹配文件
[[Node:save_1/RestoreV2=RestoreV2[dtypes=[DT_FLOAT]，[u device=“/job:localhost/replica:0/task:0/cpu:0”]（[u recv_save_1/Const_0，save_1/RestoreV2/tensor_name，save_1/RestoreV2/shape_和_切片）]]
在处理上述异常期间，发生了另一个异常：
回溯（最近一次呼叫最后一次）：
文件“F:\play_gta_sa\test_model.py”，第33行，在
model.load（model_名称）
文件“C:\Program Files\Python35\lib\site packages\tflearn\models\dnn.py”，第282行，已加载
self.trainer.restore（型号文件，仅重量，**optargs）
文件“C:\Program Files\Python35\lib\site packages\tflearn\helpers\trainer.py”，第452行，在restore中
self.restore.restore（self.session，model\u文件）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\training\saver.py”，第1457行，在restore中
{self.saver\u def.filename\u tensor\u name:save\u path}）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\client\session.py”，第778行，正在运行
运行_元数据_ptr）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\client\session.py”，第982行，正在运行
提要（dict字符串、选项、运行元数据）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\client\session.py”，第1032行，在\u do\u run中
目标\u列表、选项、运行\u元数据）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\client\session.py”，第1052行，在调用中
提升类型（e）（节点定义、操作、消息）
tensorflow.python.framework.errors\u impl.NotFoundError:不成功的TensorSliceReader构造函数：找不到F:\play\u gta\u sa\pygta\u sa-car-0.001-alexnetv2-8-epochs.model的任何匹配文件
[[Node:save_1/RestoreV2=RestoreV2[dtypes=[DT_FLOAT]，[u device=“/job:localhost/replica:0/task:0/cpu:0”]（[u recv_save_1/Const_0，save_1/RestoreV2/tensor_name，save_1/RestoreV2/shape_和_切片）]]
由op“save_1/RestoreV2”引起，定义于：
文件“”，第1行，在
文件“C:\Program Files\Python35\lib\idlelib\run.py”，第124行，在main中
ret=方法（*args，**kwargs）
运行代码中的文件“C:\Program Files\Python35\lib\idlelib\run.py”，第351行
exec（代码，self.locals）
文件“F:\play_gta_sa\test_model.py”，第32行，在
型号=alexnet（宽度、高度、LR）
文件“F:\play_gta_sa\alexnet.py”，第40行，在alexnet中
最大检查点=1，tensorboard\u verbose=0，tensorboard\u dir='log'）
文件“C:\Program Files\Python35\lib\site packages\tflearn\models\dnn.py”，第64行，在\uuu init中__
最佳值精度=最佳值精度）
文件“C:\Program Files\Python35\lib\site packages\tflearn\helpers\trainer.py”，第147行，在\uuu init中__
允许（空=真）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\training\saver.py”，第1056行，在\uuu init中__
self.build（）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\training\saver.py”，第1086行，内部版本
按顺序还原=自。_按顺序还原）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\training\saver.py”，第691行，内部版本
恢复（按顺序，重塑）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\training\saver.py”，第407行，在\u AddRestoreOps中
tensor=self.restore\u op（文件名\u tensor，可保存，首选\u碎片）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\training\saver.py”，第247行，在restore\u op中
[spec.tensor.dtype]）[0]）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\ops\gen\u io\u ops.py”，第669行，在restore\u v2中
数据类型=数据类型，名称=名称）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\framework\op_def_library.py”，第768行，在apply_op中
op_def=op_def）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\framework\ops.py”，第2336行，在create\u op中
初始值=自身值。\默认值\初始值，初始值=初始值）
文件“C:\Program Files\Python35\lib\site packages\tensorflow\python\framework\ops.py”，第1228行，在\uuu init中__
self.\u traceback=\u extract\u stack（）
非创始人
Unsuccessful TensorSliceReader constructor: Failed to find any matching files for F:\play_gta_sa\pygta_sa-car-0.001-alexnetv2-8-epochs.model

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

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