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image_recognition #5

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s473558 merged 23 commits from image_recognition into master 2023-06-12 16:25:59 +02:00
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main.py
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@ -113,13 +113,13 @@ class Game:
#bandaid to know about stones #bandaid to know about stones
tractor_next_moves = astar_search_object.astarsearch( tractor_next_moves = astar_search_object.astarsearch(
[self.tractor.x, self.tractor.y, angles[self.tractor.angle]], [random_x, random_y], self.stone_body, self.flower_body) [self.tractor.x, self.tractor.y, angles[self.tractor.angle]], [random_x, random_y], self.stone_body, self.flower_body)
current_veggie = next(os.walk('./neural_network/images/test'))[1][random.randint(0, len(next(os.walk('./neural_network/images/test'))[1]))] current_veggie = next(os.walk('./neural_network/images/test'))[1][random.randint(0, len(next(os.walk('./neural_network/images/test'))[1])-1)]
if(current_veggie in veggies_debug): if(current_veggie in veggies_debug):
veggies_debug[current_veggie]+=1 veggies_debug[current_veggie]+=1
else: else:
veggies_debug[current_veggie] = 1 veggies_debug[current_veggie] = 1
current_veggie_example = next(os.walk(f'./neural_network/images/test/{current_veggie}'))[2][random.randint(0, len(next(os.walk(f'./neural_network/images/test/{current_veggie}'))[2]))] current_veggie_example = next(os.walk(f'./neural_network/images/test/{current_veggie}'))[2][random.randint(0, len(next(os.walk(f'./neural_network/images/test/{current_veggie}'))[2])-1)]
predicted_veggie = neural_network.inference.main(f"./neural_network/images/test/{current_veggie}/{current_veggie_example}") predicted_veggie = neural_network.inference.main(f"./neural_network/images/test/{current_veggie}/{current_veggie_example}")
if predicted_veggie in veggies: if predicted_veggie in veggies:
veggies[predicted_veggie]+=1 veggies[predicted_veggie]+=1