Last changies for correct work of neuron network
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parent
7490cc8e06
commit
7e3a9cf3d0
38
main.py
38
main.py
@ -165,7 +165,43 @@ def generate_world(tiles_x: int, tiles_y: int) -> World:
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world.add_entity(Earring(5, 5))
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world.add_entity(Earring(4, 6))
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else:
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pass
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def world_adder(x,y,object,style=None):
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print(object)
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if object == 'Plant':
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world.add_entity(Entity(x, y, f"PLANT{randint(1, 3)}"))
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if object == 'Earings':
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world.add_entity(Earring(x, y))
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if object == 'Banana':
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world.add_entity(Garbage(temp_x, temp_y))
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if object == 'Cat' and config.getboolean("APP", "cat"):
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world.add_entity(Cat(x, y))
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neural_network = VacuumRecognizer()
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world = World(tiles_x, tiles_y)
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world.vacuum = Vacuum(1, 1)
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world.doc_station = Doc_Station(9, 8)
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if config.getboolean("APP", "cat"):
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world.cat = Cat(7, 8)
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world.add_entity(world.cat)
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for _ in range(config.getint("CONSTANT", "NumberOfPlants")):
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temp_x = randint(0, tiles_x - 1)
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temp_y = randint(0, tiles_y - 1)
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path = VacuumRecognizer.get_random_dir(neural_network,'Plant')
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world_adder(temp_x, temp_y, neural_network.recognize(path))
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for _ in range(config.getint("CONSTANT", "NumberOfEarrings")):
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temp_x = randint(0, tiles_x - 1)
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temp_y = randint(0, tiles_y - 1)
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path = VacuumRecognizer.get_random_dir(neural_network,'Earings')
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world_adder(temp_x, temp_y, neural_network.recognize(path))
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for _ in range(config.getint("CONSTANT", "NumberOfBananas")):
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temp_x = randint(0, tiles_x - 1)
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temp_y = randint(0, tiles_y - 1)
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path = VacuumRecognizer.get_random_dir(neural_network,'Banana')
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world_adder(temp_x, temp_y, neural_network.recognize(path))
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for x in range(world.width):
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