This commit is contained in:
Nikodem145 2024-05-27 13:57:55 +02:00
parent 2a00eccaf1
commit 2b829714ac

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@ -42,7 +42,7 @@ class Tractor:
self.direction = "left" self.direction = "left"
elif self.direction == "left": elif self.direction == "left":
self.direction = "up" self.direction = "up"
def move_forward(self, board): def move_forward(self, board):
if self.direction == "up" and self.row > 0: if self.direction == "up" and self.row > 0:
@ -56,7 +56,8 @@ class Tractor:
else: else:
return # Nie możemy się ruszyć poza planszę return # Nie możemy się ruszyć poza planszę
vegetable_name = None
if board.vegetables[next_row][next_col]: if board.vegetables[next_row][next_col]:
if board.vegetable_names[next_row][next_col]: if board.vegetable_names[next_row][next_col]:
print(f"Powinno być: {board.vegetable_names[next_row][next_col]}") print(f"Powinno być: {board.vegetable_names[next_row][next_col]}")
@ -66,7 +67,11 @@ class Tractor:
pygame.image.save(vegetable_surface, temp_file_name) pygame.image.save(vegetable_surface, temp_file_name)
vegetable_name = predict_image(temp_file_name, self.neuralnetwork) vegetable_name = predict_image(temp_file_name, self.neuralnetwork)
print(f"TRAKTOR UZNAL ZE TO: {vegetable_name}") print(f"TRAKTOR UZNAL ZE TO: {vegetable_name}")
if vegetable_name in board.vegetable_types:
vegetable_type_number = board.vegetable_types[vegetable_name]
else:
vegetable_type_number = -1
if board.is_dirt(next_row, next_col) and board.board[next_row][next_col] != 10: if board.is_dirt(next_row, next_col) and board.board[next_row][next_col] != 10:
soil_features = board.soil_features soil_features = board.soil_features
sample = { sample = {
@ -77,7 +82,7 @@ class Tractor:
"proc_ekspo_na_swiatlo": soil_features["proc_ekspo_na_swiatlo"], "proc_ekspo_na_swiatlo": soil_features["proc_ekspo_na_swiatlo"],
"pora_dnia": soil_features["pora_dnia"], "pora_dnia": soil_features["pora_dnia"],
"pora_roku": soil_features["pora_roku"], "pora_roku": soil_features["pora_roku"],
"roslina": "warzywa/" + str(vegetable_name) + ".png" "roslina": vegetable_type_number
} }
should_water = predict(self.model, self.feature_columns, sample) should_water = predict(self.model, self.feature_columns, sample)