Self._build(self._filename, build_save=True, build_restore=True)įile "F:\Python\lib\site-packages\tensorflow\python\training\saver.py", line 1263, in _buildīuild_save=build_save, build_restore=build_restore)įile "F:\Python\lib\site-packages\tensorflow\python\training\saver.py", line 751, in _build_internalįile "F:\Python\lib\site-packages\tensorflow\python\training\saver.py", line 427, in _AddRestoreOps Max_checkpoints=0, tensorboard_verbose=0,tensorboard_dir='log')įile "F:\Python\lib\site-packages\tflearn\models\dnn.py", line 65, in initįile "F:\Python\lib\site-packages\tflearn\helpers\trainer.py", line 147, in initįile "F:\Python\lib\site-packages\tensorflow\python\training\saver.py", line 1218, in initįile "F:\Python\lib\site-packages\tensorflow\python\training\saver.py", line 1227, in build Model = googlenet(WIDTH, HEIGHT, 3, LR, output=9, model_name=MODEL_NAME)įile "F:\pygta5-master\models.py", line 342, in inception_v3 )įile "F:\Python\lib\site-packages\tensorflow\python\client\session.py", line 889, in runįile "F:\Python\lib\site-packages\tensorflow\python\client\session.py", line 1120, in _runįile "F:\Python\lib\site-packages\tensorflow\python\client\session.py", line 1317, in _do_runįile "F:\Python\lib\site-packages\tensorflow\python\client\session.py", line 1336, in _do_callĬaused by op 'save_1/RestoreV2_176', defined at:įile "F:\Python\lib\idlelib\run.py", line 142, in mainįile "F:\Python\lib\idlelib\run.py", line 457, in runcodeįile "F:\pygta5-master\train_model.py", line 46, in
(ssion, model_file)įile "F:\Python\lib\site-packages\tensorflow\python\training\saver.py", line 1666, in restore
(model_file, weights_only, **optargs)įile "F:\Python\lib\site-packages\tflearn\helpers\trainer.py", line 490, in restore ]ĭuring handling of the above exception, another exception occurred:įile "F:\pygta5-master\train_model.py", line 49, inįile "F:\Python\lib\site-packages\tflearn\models\dnn.py", line 308, in load _impl.DataLossError: Unable to open table file F:\pygta5-master: Unknown: NewRandomAccessFile failed to Create/Open: F:\pygta5-master : Access is denied. do I need for a decent agent?Įxample Output : My question, how much data and which acc.
#Sct device updater format plus#
I ve trained my model by using 200gb of driving data and inception_v3 model on same street with same weather conditions and 8.000 epochs with 300kb batches per epoch and learning rate of 0.000000001.Īccuracy is somewhat about 0.2(smoothed).īut when I test it out it keeps pressing WD with a verage plus of 0.3 of probability. If you need tutorials on deep learning, or tensorflow, or tflearn, see here:ĭo you know of some relevant papers/research/models for this project? Share with us here:Ĭreated 02 Oct, 2017 Issue #73 User Peterleon you'll probably want to poke into the tutorials here: Next, Train the model with train_model.py.įinally, use the model in game with test_model.py.
I suggest 100K+ after balancing, but the more the merrier.
#Sct device updater format code#
Eventually we can go off the window's name, but, for now, the current code wants the window in the corner.ĭo this for as many files/training samples as you wish. You need this for both training and testing.
When creating training data, this works when you have the game in windowed mode, 800圆00 resolution, at the top left of your screen. This means it works with more games than just GTA V, and it will basically learn (well, attempt to learn.) whatever you put in front of it based on the frames as input and key presses as output.Ĭurrently, to use the latest version of this AI, you will need to run first "create_training_data.py," then balance this data with "balance_Data.py." We read frames directly from the desktop, rather than working with the game's code itself. Using Python programming to Play Grand Theft Auto 5Įxplorations of Using Python to play Grand Theft Auto 5, mainly for the purposes of creating self-driving cars and other vehicles.
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