使用pytorch与ResNet50与遗传算法实现贪吃蛇并赋予代码

以下是使用Pytorch、ResNet50和遗传算法来实现贪吃蛇游戏的代码示例。由于实现过程比较复杂，这里只提供一个大致的框架，具体的实现细节和优化还需要根据实际情况进行调整和完善。

import pygame
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import random

# 定义游戏界面的大小
SCREEN_WIDTH = 640
SCREEN_HEIGHT = 480

# 定义贪吃蛇的初始长度和速度
INITIAL_LENGTH = 3
SNAKE_SPEED = 5

# 定义遗传算法的参数
POPULATION_SIZE = 20
MUTATION_RATE = 0.1
GENERATION_COUNT = 100

# 定义ResNet50模型
class ResNet50(nn.Module):
    def __init__(self):
        super(ResNet50, self).__init__()
        self.resnet50 = nn.Sequential(
            nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False),
            nn.BatchNorm2d(64),
            nn.ReLU(inplace=True),
            nn.MaxPool2d(kernel_size=3, stride=2, padding=1),
            nn.Sequential(*list(torchvision.models.resnet50(pretrained=True).children())[4:-1]),
            nn.AdaptiveAvgPool2d((1, 1)),
            nn.Flatten(),
            nn.Linear(2048, 1024),
            nn.ReLU(inplace=True),
            nn.Linear(1024, 4)
        )

    def forward(self, x):
        x = self.resnet50(x)
        return x

# 定义贪吃蛇游戏的界面类
class SnakeGame:
    def __init__(self):
        pygame.init()
        self.screen = pygame.display.set_mode((SCREEN_WIDTH, SCREEN_HEIGHT))
        pygame.display.set_caption('Snake Game')
        self.clock = pygame.time.Clock()

        self.font = pygame.font.SysFont(None, 24)

        self.reset()

    def reset(self):
        self.snake = []
        self.direction = random.choice(['up', 'down', 'left', 'right'])
        self.score = 0

        x = random.randint(10, SCREEN_WIDTH - 10)
        y = random.randint(10, SCREEN_HEIGHT - 10)

        for i in range(INITIAL_LENGTH):
            self.snake.append([x, y + i])

        self.food = self.generate_food()

    def generate_food(self):
        while True:
            x = random.randint(10, SCREEN_WIDTH - 10)
            y = random.randint(10, SCREEN_HEIGHT - 10)

            if [x, y] not in self.snake:
                return [x, y]

    def move_snake(self):
        head = self.snake[0].copy()

        if self.direction == 'up':
            head[1] -= SNAKE_SPEED
        elif self.direction == 'down':
            head[1] += SNAKE_SPEED
        elif self.direction == 'left':
            head[0] -= SNAKE_SPEED
        elif self.direction == 'right':
            head[0] += SNAKE_SPEED

        self.snake.insert(0, head)

        if self.snake[0] == self.food:
            self.score += 1
            self.food = self.generate_food()
        else:
            self.snake.pop()

        if self.snake[0][0] < 0 or self.snake[0][0] >= SCREEN_WIDTH or \
                self.snake[0][1] < 0 or self.snake[0][1] >= SCREEN_HEIGHT or \
                self.snake[0] in self.snake[1:]:
            return False

        return True

    def draw_snake(self):
        for i, pos in enumerate(self.snake):
            if i == 0:
                pygame.draw.circle(self.screen, (0, 255, 0), pos, 10)
            else:
                pygame.draw.circle(self.screen, (0, 0, 255), pos, 10)

    def draw_food(self):
        pygame.draw.circle(self.screen, (255, 0, 0), self.food, 10)

    def draw_score(self):
        text = self.font.render(f'Score: {self.score}', True, (255, 255, 255))
        self.screen.blit(text, (10, 10))

    def draw_gameover(self):
        text = self.font.render('Game Over', True, (255, 0, 0))
        self.screen.blit(text, (SCREEN_WIDTH // 2 - 50, SCREEN_HEIGHT // 2 - 12))

    def update(self):
        self.clock.tick(30)

        for event in pygame.event.get():
            if event.type == pygame.QUIT:
                pygame.quit()
                exit()

            if event.type == pygame.KEYDOWN:
                if event.key == pygame.K_UP and self.direction != 'down':
                    self.direction = 'up'
                elif event.key == pygame.K_DOWN and self.direction != 'up':
                    self.direction = 'down'
                elif event.key == pygame.K_LEFT and self.direction != 'right':
                    self.direction = 'left'
                elif event.key == pygame.K_RIGHT and self.direction != 'left':
                    self.direction = 'right'

        self.screen.fill((0, 0, 0))

        if self.move_snake():
            self.draw_snake()
            self.draw_food()
            self.draw_score()
        else:
            self.draw_gameover()

        pygame.display.update()

# 定义遗传算法类
class GeneticAlgorithm:
    def __init__(self, population_size, mutation_rate):
        self.population_size = population_size
        self.mutation_rate = mutation_rate
        self.population = []

    def init_population(self):
        for i in range(self.population_size):
            chromosome = []
            for j in range(100):
                chromosome.append(random.randint(0, 3))
            self.population.append(chromosome)

    def evaluate_fitness(self, model):
        scores = []
        for chromosome in self.population:
            game = SnakeGame()
            for direction in chromosome:
                game.direction = ['up', 'down', 'left', 'right'][direction]
                game.move_snake()
            scores.append(game.score)

        scores = np.array(scores)
        fitness = (scores - np.min(scores)) / (np.max(scores) - np.min(scores))
        return fitness

    def crossover(self, parent1, parent2):
        child1 = parent1.copy()
        child2 = parent2.copy()
        index1 = random.randint(0, len(parent1) - 1)
        index2 = random.randint(0, len(parent1) - 1)
        if index1 > index2:
            index1, index2 = index2, index1
        child1[index1:index2], child2[index1:index2] = child2[index1:index2], child1[index1:index2]
        return child1, child2

    def mutate(self, chromosome):
        for i in range(len(chromosome)):
            if random.random() < self.mutation_rate:
                chromosome[i] = random.randint(0, 3)

    def select_parents(self, fitness):
        index1 = np.random.choice(np.arange(self.population_size), p=fitness)
        index2 = np.random.choice(np.arange(self.population_size), p=fitness)
        return self.population[index1], self.population[index2]

    def evolve(self, model, generation_count):
        self.init_population()
        for i in range(generation_count):
            fitness = self.evaluate_fitness(model)
            new_population = []
            for j in range(self.population_size // 2):
                parent1, parent2 = self.select_parents(fitness)
                child1, child2 = self.crossover(parent1, parent2)
                self.mutate(child1)
                self.mutate(child2)
                new_population.append(child1)
                new_population.append(child2)
            self.population = new_population

# 定义主函数
def main():
    game = SnakeGame()
    model = ResNet50()
    optimizer = optim.Adam(model.parameters(), lr=0.001)
    genetic_algorithm = GeneticAlgorithm(POPULATION_SIZE, MUTATION_RATE)

    for i in range(GENERATION_COUNT):
        genetic_algorithm.evolve(model, 10)
        best_chromosome = genetic_algorithm.population[np.argmax(genetic_algorithm.evaluate_fitness(model))]
        for direction in best_chromosome:
            game.direction = ['up', 'down', 'left', 'right'][direction]
            game.move_snake()

            screen_data = pygame.surfarray.array3d(pygame.display.get_surface())
            screen_data = torch.from_numpy(np.transpose(screen_data, (2, 0, 1))).unsqueeze(0).float() / 255.0

            with torch.no_grad():
                output = model(screen_data).squeeze()

            direction = torch.argmax(output).item()
            game.direction = ['up', 'down', 'left', 'right'][direction]
            game.move_snake()
            game.update()

if __name__ == '__main__':
    main()

这段代码使用Pygame库来实现贪吃蛇游戏的逻辑和界面，并使用Pytorch框架中的ResNet50模型来进行图像识别和决策，使用遗传算法来生成蛇的移动方向。在主函数中，首先初始化游戏界面和模型，并对遗传算法进行初始化。然后，在每一代中，使用遗传算法对种群进行进化，并选择最优的染色体来控制蛇的移动。在每一次移动时，将游戏界面的截图输入模型中进行识别，并根据模型输出的结果来决定蛇的移动方向，最后更新游戏界面。