From 07270d54d4daeac01ca5a4fa1210321e5761c910 Mon Sep 17 00:00:00 2001 From: LuminoX Date: Sun, 26 May 2024 17:58:48 +0200 Subject: [PATCH] added multiple options for animals' images --- .idea/misc.xml | 2 +- .idea/sztuczna.iml | 6 ++++-- agent.py | 16 ++++++++++++++- classification.py | 48 +++++++++++++++++++++++++++++++++++++++++++++ constants.py | 4 ++++ tree.png | Bin 591674 -> 651363 bytes 6 files changed, 72 insertions(+), 4 deletions(-) create mode 100644 classification.py diff --git a/.idea/misc.xml b/.idea/misc.xml index 812ab5a..fa62db7 100644 --- a/.idea/misc.xml +++ b/.idea/misc.xml @@ -3,5 +3,5 @@ - + \ No newline at end of file diff --git a/.idea/sztuczna.iml b/.idea/sztuczna.iml index d0876a7..f83ab99 100644 --- a/.idea/sztuczna.iml +++ b/.idea/sztuczna.iml @@ -1,8 +1,10 @@ - - + + + + \ No newline at end of file diff --git a/agent.py b/agent.py index 3c5449d..c8be38c 100644 --- a/agent.py +++ b/agent.py @@ -5,7 +5,19 @@ from state_space_search import is_border, is_obstacle from night import draw_night from decision_tree import feed_decision from constants import Constants +from classification import AnimalClassifier +const = Constants() + +classes = [ + "bat", + "bear", + "elephant", + "giraffe", + "owl", + "parrot", + "penguin" +] class Agent: def __init__(self, istate, image_path, grid_size): self.istate = istate @@ -66,8 +78,9 @@ class Agent: feed_animal(self, animals, goal,const) take_food(self) -def feed_animal(self, animals, goal,const): +def feed_animal(self, animals, goal,const): goal_x, goal_y = goal + guess = AnimalClassifier('./model/best_model.pth', classes) if self.x == goal_x and self.y == goal_y: for animal in animals: if animal.x == goal_x and animal.y == goal_y: @@ -76,6 +89,7 @@ def feed_animal(self, animals, goal,const): else: activity_time = False guests = random.randint(1, 15) + guess.classify(animal.image) decision = feed_decision(animal.adult, activity_time, animal.ill, const.season, guests, animal._feed, self._dryfood, self._wetfood) if decision != [1]: if decision == [2]: diff --git a/classification.py b/classification.py new file mode 100644 index 0000000..9071876 --- /dev/null +++ b/classification.py @@ -0,0 +1,48 @@ +import torch +import torchvision.transforms as transforms +import PIL.Image as Image + +class AnimalClassifier: + def __init__(self, model_path, classes, image_size=224, mean=None, std=None): + self.classes = classes + self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + self.model = torch.load(model_path) + self.model = self.model.to(self.device) + self.model = self.model.eval() + self.image_size = image_size + self.mean = mean if mean is not None else [0.5164, 0.5147, 0.4746] + self.std = std if std is not None else [0.2180, 0.2126, 0.2172] + self.image_transforms = transforms.Compose([ + transforms.Resize((self.image_size, self.image_size)), + transforms.ToTensor(), + transforms.Normalize(torch.Tensor(self.mean), torch.Tensor(self.std)) + ]) + + def classify(self, image_path): + image = Image.open(image_path) + + if image.mode == 'RGBA': + image = image.convert('RGB') + + image = self.image_transforms(image).float() + image = image.unsqueeze(0).to(self.device) + + with torch.no_grad(): + output = self.model(image) + + _, predicted = torch.max(output.data, 1) + + return self.classes[predicted.item()] + +# Define the classes +classes = [ + "bat", + "bear", + "elephant", + "giraffe", + "owl", + "parrot", + "penguin" +] + + diff --git a/constants.py b/constants.py index 074f227..4af7956 100644 --- a/constants.py +++ b/constants.py @@ -17,6 +17,10 @@ class Constants: self.season = random.choice(["spring", "summer", "autumn", "winter"]) + self.SIZE = 224 + self.mean = [0.5164, 0.5147, 0.4746] + self.std = [0.2180, 0.2126, 0.2172] + def init_pygame(const): pygame.init() const.screen = pygame.display.set_mode(const.WINDOW_SIZE) \ No newline at end of file diff --git a/tree.png b/tree.png index 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