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51a5b13669
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da1bfe1d8f
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da1bfe1d8f | |||
4339284c4b |
2
App.py
2
App.py
@ -147,7 +147,7 @@ def init_demo(): #Demo purpose
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pass
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model = neuralnetwork.loadModel('model_500_hidden.pth')
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Tractor.drzewo.treeLearn()
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traktor.snake_move_predict_plant(pole, model, headers=['Coords','Real plant','Predicted plant','Result','Decision'], actions=[traktor.irigate_slot_NN])
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traktor.snake_move_predict_plant(pole, model, headers=['Coords','Real plant','Predicted plant','Result','Water decision'], actions=[traktor.irigate_slot_NN])
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start_flag=False
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# demo_move()
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old_info=get_info(old_info)
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6
BFS.py
6
BFS.py
@ -133,8 +133,12 @@ def check3(tab, state):
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return True
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def BFS3(istate):
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def BFS3(istate,GT):
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randomGT=True
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if(randomGT==True):
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goalTreassuere = (random.randint(0,NUM_X-1), random.randint(0,NUM_Y-1))
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else:
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goalTreassuere=GT
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print(goalTreassuere)
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fringe = []
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explored = []
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17
readme.txt
17
readme.txt
@ -5,3 +5,20 @@ Required packages:
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pip install matplotlib
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pip install scikit-learn
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pip install pandas
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How to run:
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For BFS3:
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-in App.py change bfs3_flag to True (other flags need to be disabled)
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-in Image.py change range in function return_random_plant to (0,5)
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For Astar:
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in App.py change Astar to True (other flags need to be disabled)
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-in Image.py change range in function return_random_plant to (0,7)
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For Astar2:
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-in App.py change Astar2 flag to True (other flags need to be disabled)
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-in Image.py change range in function return_random_plant to (0,7)
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For Tree:
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-in App.py change TreeFlag to True (other flags need to be disabled)
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-in Image.py change range in function return_random_plant to (0,5)
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For neuralnetwork:
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-in App.py change nnFlag to True (other flags need to be disabled)
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For final_show (neuralnetwork+tree+genetic algorithm)
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-in App.py change finalFlag to True (other flags need to be disabled)
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