V2Ray 是一个基于 PyTorch 的 Python 3D 游戏引擎，主要用于控制游戏中的物体和场景。以下是一步步的教程指南，帮助你理解 V2Ray 的节点配置

安装依赖库

安装 V2Ray 和所需的 PyTorch 库：

pip install pytorch torchvision torchaudio

创建项目

在 V2Ray 的项目目录下创建一个 Python 项目：

mkdir v2ray
cd v2ray

在项目根目录下创建一个 __init__.py 文件：

__init__.py
import torch
class Node:
    def __init__(self):
        self.node_id = str(torch.randint(1, 1, (1,))[])
        self.position = torch.zeros(3)
        self.direction = torch.zeros(3)
        self.speed = torch.zeros(3)
        self.type = "default"
def main():
    # 创建并初始化一个节点
    node = Node()
    print(node.node_id)
    print(node.position)
    print(node.direction)
    print(node.speed)
if __name__ == "__main__":
    main()

创建项目结构

在项目根目录下创建以下结构：

mkdir scene
cd scene

在 scene/v2ray.py 文件中导入所需的模块：

import torch
class Node:
    def __init__(self):
        self.node_id = str(torch.randint(1, 1, (1,))[])
        self.position = torch.zeros(3)
        self.direction = torch.zeros(3)
        self.speed = torch.zeros(3)
        self.type = "default"
def create_node():
    global node
    node = Node()
    print(f"节点 {node.node_id} 创建完成")
    return node
def update_node(node):
    node.position = torch.cat([node.position, torch.zeros(1)])
    print(f"节点 {node.node_id} 的位置更新完成")
def create_node_config():
    global node
    node.direction = torch.ones(3)
    print("节点方向设置完成")
    return node
if __name__ == "__main__":
    create_node()
    create_node_config()

创建场景

在项目根目录下创建 scene.py 文件：

import pyrender
from pyrender import World
class Scene:
    def __init__(self):
        self.width = 192
        self.height = 18
        self.stream = pyrender.FFmpegStream("out.mp4", start_time=, duration=1, loop=1)
        self.scene = pyrender.Scene()
        self.camera = pyrender.AmbientLightingTerm(.5)
        self.scene.add(self.camera, wireframes=True)
        self.scene.add(pyrender.DiskLight("day", 1., pyrender.AmbientLightTerm(.3)))
    def add_object(self, node):
        sphere = pyrender.Mesh(
            pyrender.Sphere,
            face_cdata=pyrender.FACE_CDATA.QUAD_STRIP,
            vertices_cdata=pyrender.VERTICES_CDATA.QUAD_STRIP,
            colors=torch.zeros(4),
            wireframes=True
        )
        sphere.position.copy_to(node.position)
        sphere.color.copy_to(node.type)
        self.scene.add(sphere)
    def render(self):
        self.scene.render()
    def __init__(self):
        self.scene = Scene()
        self.camera.position = pyray.Vector3d(
            pyray.XYZ(-1.5, 0, 0)
        )
        self.camera.lookat(, 0, 0)
        self.camera.rotation.y = pyray.RADIAN * 0.5 * math.pi
        self.scene.add(self.camera, wireframes=True)
        self.scene.add(pyrender.DiskLight("day", 1., pyrender.AmbientLightTerm(.3)))
    def create_node(self, node_id):
        self.scene.add(pyray.Node(node))
        return self.scene.render()
    def create_node_config(self, node_id):
        self.node_config[node_id] = {
            "position": 0,
            "direction": 0,
            "speed": 0,
            "type": "default"
        }
        return self.scene.config
    def save_node_config(self, node_id):
        self.node_config[node_id] = None
if __name__ == "__main__":
    scene = Scene()
    node_id = str(torch.randint(1, 1, (1,))[])
    scene.create_node(node_id)
    scene.config.node_config[node_id] = None
    exit()

节点配置

在场景中创建节点：

node_id = str(torch.randint(1, 1, (1,))[])
scene.create_node(node_id)

微调和训练

在项目根目录中创建 v2ray.py 文件：

import torch
from torch.utils.data import Dataset, DataLoader
import numpy as np
from torch.optim import Adam
import torch.nn as nn
class V2RayDataset(Dataset):
    def __init__(self, node_config, node_ids, data):
        self.node_config = node_config
        self.node_ids = node_ids
        self.data = data
    def __getitem__(self, idx):
        return {
            "input": self.data[idx],
            "target": self.node_config[node_ids[idx]]["position"]
        }
    def __len__(self):
        return len(self.data)
def train_model(model, train_loader, val_loader, epochs=1, batch_size=32):
    optimizer = Adam(model.parameters(), lr=.1)
    criterion = nn.MSEL()
    best_val_loss = float('inf')
    for epoch in range(epochs):
        train_loss = 0
        for inputs, targets in train_loader:
            optimizer.zero_grad()
            outputs = model(inputs)
            loss = criterion(outputs, targets)
            loss.backward()
            optimizer.step()
            train_loss += loss.item()
        print(f"Epoch {epoch+1}/{epochs}, Training Loss: {train_loss:.4f}")
        val_loss = 0
        for inputs, targets in val_loader:
            outputs = model(inputs)
            loss = criterion(outputs, targets)
            val_loss += loss.item()
        print(f"Epoch {epoch+1}/{epochs}, Validation Loss: {val_loss:.4f}")
        if val_loss < best_val_loss:
            best_val_loss = val_loss
            torch.save(model.state_dict(), "best_model.pth")
    return model
def test_model(model, test_loader):
    test_loss = 0
    for inputs, targets in test_loader:
        outputs = model(inputs)
        loss = criterion(outputs, targets)
        test_loss += loss.item()
    print(f"Test Loss: {test_loss:.4f}")

实现游戏场景

在项目根目录下创建 v2ray.py 文件：

import pyray
import pyrender
import torch
class Node:
    def __init__(self, index):
        self.index = index
        self.position = torch.zeros(3)
        self.direction = torch.zeros(3)
        self.speed = torch.zeros(3)
        self.type = "default"
    def get_position(self):
        return self.position.clone()
    def set_position(self, pos):
        self.position.copy_to(pos)
class V2RayScene:
    def __init__(self):
        self.width = 192
        self.height = 18
        self.stream = pyray.FFmpegStream("out", start_time=, duration=1, loop=1)
        self.camera = pyray.AmbientLightingTerm(.5)
        self.scene = pyray.Scene()
        self.scene.add(self.camera, wireframes=True)
        pyray.Node(self, 0).add()  # 添加第一个节点
        pyray.Node(self, 1).add()  # 添加第二个节点
        pyray.Node(self, 2).add()  # 添加第三个节点
    def create_node(self, node_index):
        node = pyray.Node[node_index]
        self.scene.add(node, 1)
        return self.scene
    def create_node_config(self, node_index):
        node_config = {
            "position": 0,
            "direction": 0,
            "speed": 0,
            "type": "default"
        }
        return node_config
    def render(self):
        self.scene.render()
    def get_node_config(self, node_index):
        node_config = self.scene.node_config[node_index]
        return node_config
    def update_node(self, node_config):
        self.camera.position = torch.cat([node_config["position"], torch.zeros(1)])
if __name__ == "__main__":
    scene = V2RayScene()
    node_config = scene.get_node_config()
    node_config["position"] = torch.tensor([2, 3, 4])
    node_config["direction"] = torch.tensor([1, 0, 0])
    node_config["speed"] = torch.tensor([1, 1