Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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using System;
using NUnit.Framework;
using UnityEngine;
using Unity.MLAgents.Sensors;
namespace Unity.MLAgents.Tests
{
[TestFixture]
public class RenderTextureSensorTests
{
[Test]
public void TestRenderTextureSensor()
{
foreach (var grayscale in new[] { true, false })
{
foreach (SensorCompressionType compression in Enum.GetValues(typeof(SensorCompressionType)))
{
var width = 24;
var height = 16;
var texture = new RenderTexture(width, height, 0);
var sensor = new RenderTextureSensor(texture, grayscale, "TestCameraSensor", compression);
var obsWriter = new ObservationWriter();
var obs = sensor.GetObservationProto(obsWriter);
Assert.AreEqual((int)compression, (int)obs.CompressionType);
var expectedShape = new[] { height, width, grayscale ? 1 : 3 };
Assert.AreEqual(expectedShape, obs.Shape);
}
}
}
[Test]
public void TestObservationType()
{
var width = 24;
var height = 16;
var camera = Camera.main;
var sensor = new CameraSensor(camera, width, height, true, "TestCameraSensor", SensorCompressionType.None);
var spec = sensor.GetObservationSpec();
Assert.AreEqual((int)spec.ObservationType, (int)ObservationType.Default);
sensor = new CameraSensor(camera, width, height, true, "TestCameraSensor", SensorCompressionType.None, ObservationType.Default);
spec = sensor.GetObservationSpec();
Assert.AreEqual((int)spec.ObservationType, (int)ObservationType.Default);
sensor = new CameraSensor(camera, width, height, true, "TestCameraSensor", SensorCompressionType.None, ObservationType.GoalSignal);
spec = sensor.GetObservationSpec();
Assert.AreEqual((int)spec.ObservationType, (int)ObservationType.GoalSignal);
}
}
}