經過訓練alexnet模型后返回的輸出文件...？

Question

代碼是用Python 3.5.X編寫的

請嘗試使三年級計算機科學專業的學生的答案變得簡單

來自train_model.py的輸出文件似乎是model.meta文件，但test_model.py要求提供.model文件。 教程用戶也有一個.model文件，我似乎無法理解為什么我使用.model.meta獲取文件

我正在嘗試通過Python玩GTA San Andreas，或者更確切地說是GTA中的汽車是由模型驅動的。 它以屏幕框架作為輸入，並在訓練期間記錄了按鍵i輸入。 該訓練數據用於訓練模型。

訓練模型的代碼

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)

培訓成功完成並返回文件

我正在執行此項目的教程視頻中返回的文件

返回了send_dex文件

檢查點文件的內容

model_checkpoint_path：“ F：\\ play_gta_sa \\ pygta_sa-car-0.001-alextnetv2-8-epochs.model” all_model_checkpoint_paths：“ F：\\ play_gta_sa \\ pygta_sa-car-0.001-alextnetv2-8-epochs.model”

在游戲上測試模型的代碼

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()

運行測試模型時的錯誤消息

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)]]

Answer 1

感謝更新。

編輯：

嘗試在tf.reset_default_graph()加載模型之前添加此行。 那是

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

Answer 2

該錯誤的症結在於：

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，所以是典型的“找不到文件”。 我們確定我們有此文件嗎？ 也許可以，但是，如果它在那里，那就已經找到了。 我們的第一個猜測應該是我們輸入錯誤或以其他方式犯了一個錯誤。 讓我們看看您的模型文件：

為了訓練模型，您需要：

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

為了測試模型，您需要：

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

你看到區別了嗎？ 有錯別字。 alextnetv2與alexnetv2

修復此問題，至少將找到該文件。