From 976e46387f99eff232f03fed06b134c84562ac5f Mon Sep 17 00:00:00 2001 From: 51hhh Date: Mon, 25 Aug 2025 14:16:06 +0800 Subject: [PATCH] =?UTF-8?q?[MF]=E4=BF=AE=E6=94=B9=E4=BB=8ECDN=E8=87=AA?= =?UTF-8?q?=E5=8A=A8=E5=8A=A0=E8=BD=BD=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- game/分类器/script.js | 383 ++++++++++++++++---------- game/石头剪刀布/game.html | 221 +++++++++------ game/石头剪刀布/hand-knn-model-2.json | 1 + game/贪吃蛇/pose-knn-model.json | 1 + game/贪吃蛇/snake_game.html | 319 ++++++++++++++------- game/钢琴/hand-knn-model.json | 1 + game/钢琴/index.html | 219 +++++++++------ 7 files changed, 739 insertions(+), 406 deletions(-) create mode 100644 game/石头剪刀布/hand-knn-model-2.json create mode 100644 game/贪吃蛇/pose-knn-model.json create mode 100644 game/钢琴/hand-knn-model.json diff --git a/game/分类器/script.js b/game/分类器/script.js index 8c65ee3..3d2f202 100644 --- a/game/分类器/script.js +++ b/game/分类器/script.js @@ -71,10 +71,41 @@ function updateModelUI(isLoaded) { async function initModel() { showStatus(MODEL_STATUS, 'info', '正在加载 MobileNet 模型...'); try { + // 确保 window.mobilenet 和 window.knnClassifier 库已加载 + if (!window.mobilenet || !window.knnClassifier) { + showStatus(MODEL_STATUS, 'error', 'TensorFlow.js 库或 KNN 分类器库未加载。请检查 HTML 引入。'); + console.error('TensorFlow.js 库或 KNN 分类器库未加载。'); + return; + } + mobilenet = await window.mobilenet.load({ version: 2, alpha: 1.0 }); knnClassifier = window.knnClassifier.create(); - showStatus(MODEL_STATUS, 'success', 'MobileNet 模型和 KNN 分类器已加载。请加载模型文件。'); - updateModelUI(false); // 此时 MobileNet 已加载，但 KNN 分类器本身还需加载数据 + showStatus(MODEL_STATUS, 'success', 'MobileNet 模型和 KNN 分类器已加载。'); + updateModelUI(false); // MobileNet 准备好，但KNN数据还未加载 + + // ===== 新增：尝试自动从 CDN 加载 KNN 模型 ===== + // 请替换为你的实际 CDN 模型路径 + const cdnModelBaseUrl = 'https://goood-space-assets.oss-cn-beijing.aliyuncs.com/public/models/'; // 例如：'https://example.com/models/' + const cdnModelJsonFileName = 'knn-model.json'; // 你的模型json文件名 + const cdnModelBinFileName = 'knn-model.bin'; // 你的模型bin文件名 + + const cdnJsonUrl = `${cdnModelBaseUrl}${cdnModelJsonFileName}`; + const cdnBinUrl = `${cdnModelBaseUrl}${cdnModelBinFileName}`; + + console.log(`尝试从 CDN 加载模型: ${cdnJsonUrl}, ${cdnBinUrl}`); + showStatus(MODEL_STATUS, 'info', '正在尝试从 CDN 自动加载 KNN 模型...'); + + try { + await loadKNNModel(cdnJsonUrl, cdnBinUrl); + console.log('CDN 模型自动加载成功。'); + // 如果成功，loadKNNModel 会更新状态 + } catch (cdnError) { + showStatus(MODEL_STATUS, 'warning', `从 CDN 加载 KNN 模型失败: ${cdnError.message}。您可以尝试手动加载。`); + console.warn('CDN KNN 模型加载失败:', cdnError); + updateModelUI(false); // 即使 CDN 失败，用户仍然可以通过按钮加载 + } + // ============================================== + } catch (error) { showStatus(MODEL_STATUS, 'error', `模型加载失败: ${error.message}`); console.error('MobileNet/KNN加载失败:', error); @@ -96,154 +127,218 @@ async function getFeatures(img) { /** * 加载 KNN 模型文件，支持 '.json' 和 '.bin' 两部分文件。 - * 用户需要依次选择对应的 .json 和 .bin 文件。 + * 支持从 URL 或用户选择的文件加载。 + * @param {string} [jsonUrl] - 可选，KNN 模型 .json 文件的 URL。 + * @param {string} [binUrl] - 可选，KNN 模型 .bin 文件的 URL。 */ -async function loadKNNModel() { - const inputJson = document.createElement('input'); - inputJson.type = 'file'; - inputJson.accept = '.json'; - inputJson.multiple = false; - - showStatus(MODEL_STATUS, 'info', '请先选择 KNN 模型配置文件 (.json)...'); - - inputJson.onchange = async (e) => { - const jsonFile = e.target.files[0]; - if (!jsonFile) { - showStatus(MODEL_STATUS, 'info', '未选择 .json 文件。'); - updateModelUI(false); - return; - } - - showStatus(MODEL_STATUS, 'info', `正在解析 ${jsonFile.name}...`); +async function loadKNNModel(jsonUrl = null, binUrl = null) { + if (!knnClassifier) { + showStatus(MODEL_STATUS, 'error', 'KNN 分类器未初始化。请先加载 MobileNet 模型。'); + return; + } + + let modelData = null; + let binData = null; + let modelName = '未知模型'; + + try { + if (jsonUrl && binUrl) { + // 从 CDN URL 加载 + showStatus(MODEL_STATUS, 'info', `正在从 CDN 加载模型配置文件 (${jsonUrl})...`); + const jsonResponse = await fetch(jsonUrl); + if (!jsonResponse.ok) { + throw new Error(`无法从 ${jsonUrl} 加载.json文件: ${jsonResponse.statusText}`); + } + modelData = await jsonResponse.json(); + modelName = jsonUrl.split('/').pop(); + + showStatus(MODEL_STATUS, 'info', `正在从 CDN 加载模型权重 (${binUrl})...`); + const binResponse = await fetch(binUrl); + if (!binResponse.ok) { + throw new Error(`无法从 ${binUrl} 加载.bin文件: ${binResponse.statusText}`); + } + const arrayBuffer = await binResponse.arrayBuffer(); + binData = new Float32Array(arrayBuffer); + + // 验证 bin 文件名是否匹配（如果 json 中有定义） + if (modelData.dataFile && !binUrl.endsWith(modelData.dataFile)) { + console.warn(`CDN 加载警告：.bin URL (${binUrl}) 与 .json 中定义的 dataFile (${modelData.dataFile}) 不匹配。继续加载。`); + } + + } else { + // 从用户本地文件加载 (原逻辑不变) + const inputJson = document.createElement('input'); + inputJson.type = 'file'; + inputJson.accept = '.json'; + inputJson.multiple = false; - let modelData; - try { - const reader = new FileReader(); - const jsonText = await new Promise((resolve, reject) => { - reader.onload = () => resolve(reader.result); - reader.onerror = () => reject(reader.error); - reader.readAsText(jsonFile); - }); - modelData = JSON.parse(jsonText); - - if (!modelData.dataFile) { - console.warn('模型JSON文件不包含 "dataFile" 字段，尝试以旧的单文件JSON格式加载。'); - return loadSingleJsonModel(modelData); - } - - } catch (error) { - showStatus(MODEL_STATUS, 'error', `解析 .json 文件失败: ${error.message}`); - console.error('解析 .json 失败:', error); - updateModelUI(false); + showStatus(MODEL_STATUS, 'info', '请先选择 KNN 模型配置文件 (.json)...'); + + await new Promise((resolve, reject) => { + inputJson.onchange = async (e) => { + const jsonFile = e.target.files[0]; + if (!jsonFile) { + showStatus(MODEL_STATUS, 'info', '未选择 .json 文件。'); + updateModelUI(false); + return reject(new Error('No JSON file selected.')); + } + + showStatus(MODEL_STATUS, 'info', `正在解析 ${jsonFile.name}...`); + modelName = jsonFile.name; + + try { + const reader = new FileReader(); + const jsonText = await new Promise((res, rej) => { + reader.onload = () => res(reader.result); + reader.onerror = () => rej(reader.error); + reader.readAsText(jsonFile); + }); + modelData = JSON.parse(jsonText); + + if (!modelData.dataFile) { + console.warn('模型JSON文件不包含 "dataFile" 字段，尝试以旧的单文件JSON格式加载。'); + // 对于旧的单文件模型，直接加载并结束 + await loadSingleJsonModel(modelData); + return resolve(); // 成功加载旧模型，返回 + } + + } catch (error) { + showStatus(MODEL_STATUS, 'error', `解析 .json 文件失败: ${error.message}`); + console.error('解析 .json 失败:', error); + updateModelUI(false); + return reject(error); + } + + const inputBin = document.createElement('input'); + inputBin.type = 'file'; + inputBin.accept = '.bin'; + inputBin.multiple = false; + + showStatus(MODEL_STATUS, 'info', `已加载 .json 文件。请选择对应的权重文件 "${modelData.dataFile}" (.bin)...`); + + inputBin.onchange = async (eBin) => { + const binFile = eBin.target.files[0]; + if (!binFile) { + showStatus(MODEL_STATUS, 'info', '未选择 .bin 文件。'); + updateModelUI(false); + return reject(new Error('No BIN file selected.')); + } + + if (binFile.name !== modelData.dataFile) { + showStatus(MODEL_STATUS, 'error', `选择的 .bin 文件名 "${binFile.name}" 与 .json 中定义的 "${modelData.dataFile}" 不匹配！请选择正确的文件。`); + updateModelUI(false); + return reject(new Error('BIN file name mismatch.')); + } + + showStatus(MODEL_STATUS, 'info', `正在读取 ${binFile.name} (二进制权重文件)...`); + try { + const reader = new FileReader(); + const arrayBuffer = await new Promise((res, rej) => { + reader.onload = () => res(reader.result); + reader.onerror = () => rej(reader.error); + reader.readAsArrayBuffer(binFile); + }); + binData = new Float32Array(arrayBuffer); + resolve(); // 成功获取到 binData，解析流程继续 + } catch (error) { + showStatus(MODEL_STATUS, 'error', `读取 .bin 文件失败: ${error.message}`); + console.error('读取 .bin 失败:', error); + updateModelUI(false); + return reject(error); + } + }; + inputBin.click(); + }; + inputJson.click(); + }); // 结束 Promise 包装的回调 + } + + // 如果 modelData 为 null (意味着旧的单文件JSON模型已在上面被处理并返回)，则停止后续处理 + if (!modelData) { return; } - - const inputBin = document.createElement('input'); - inputBin.type = 'file'; - inputBin.accept = '.bin'; - inputBin.multiple = false; - - showStatus(MODEL_STATUS, 'info', `已加载 .json 文件。请选择对应的权重文件 "${modelData.dataFile}" (.bin)...`); - - inputBin.onchange = async (eBin) => { - const binFile = eBin.target.files[0]; - if (!binFile) { - showStatus(MODEL_STATUS, 'info', '未选择 .bin 文件。'); - updateModelUI(false); - return; - } - - if (binFile.name !== modelData.dataFile) { - showStatus(MODEL_STATUS, 'error', `选择的 .bin 文件名 "${binFile.name}" 与 .json 中定义的 "${modelData.dataFile}" 不匹配！请选择正确的文件。`); - updateModelUI(false); - return; - } - - showStatus(MODEL_STATUS, 'info', `正在读取 ${binFile.name} (二进制权重文件)...`); - let binData; - try { - const reader = new FileReader(); - const arrayBuffer = await new Promise((resolve, reject) => { - reader.onload = () => resolve(reader.result); - reader.onerror = () => reject(reader.error); - reader.readAsArrayBuffer(binFile); - }); - binData = new Float32Array(arrayBuffer); - } catch (error) { - showStatus(MODEL_STATUS, 'error', `读取 .bin 文件失败: ${error.message}`); - console.error('读取 .bin 失败:', error); - updateModelUI(false); - return; - } - - try { - knnClassifier.clearAllClasses(); - - Object.keys(modelData.dataset).forEach(label => { - const classDataMeta = modelData.dataset[label]; - const startFloat32ElementIndex = classDataMeta.start; - const numFloat32Elements = classDataMeta.length; - - const featureDim = modelData.featureDim || 1280; - - const classFeatures = binData.subarray(startFloat32ElementIndex, startFloat32ElementIndex + numFloat32Elements); - - if (classFeatures.length === 0) { - console.warn(`类别 ${label} 没有找到特征数据，跳过。`); - return; - } - - if (classFeatures.length % featureDim !== 0) { - const actualSamples = classFeatures.length / featureDim; - console.error( - `--- 类别: ${label} ---`, - `起始 Float32 元素索引: ${startFloat32ElementIndex}`, - `该类别 Float32 元素数量: ${numFloat32Elements}`, - `ERROR: 特征数据长度 (${classFeatures.length} 个 Float32 元素) 与特征维度 (${featureDim}) 不匹配！` + - `实际样本数计算为 ${actualSamples} (预期为整数)。`, - `请检查您的模型导出逻辑和训练数据的完整性。` - ); - throw new Error("模型数据完整性错误：特征数据长度与维度不匹配。"); - } - - const numSamples = classFeatures.length / featureDim; - - for (let i = 0; i < numSamples; i++) { - const startIndex = i * featureDim; - const endIndex = (i + 1) * featureDim; - const sampleFeatures = classFeatures.subarray(startIndex, endIndex); - - const sampleTensor = tf.tensor(sampleFeatures, [1, featureDim]); - - knnClassifier.addExample(sampleTensor, parseInt(label)); - tf.dispose(sampleTensor); - } - }); - - if (modelData.classList && Array.isArray(modelData.classList)) { - classNames = modelData.classList.map(c => c.name); - } else { - console.warn('模型JSON中未找到 classList 字段或格式不正确，使用默认类别名称。'); - classNames = Object.keys(modelData.dataset).map(key => `Class ${parseInt(key) + 1}`); - } - - showStatus(MODEL_STATUS, 'success', `模型 "${jsonFile.name}" 及权重加载成功！类别: ${classNames.join(', ')}。`); - updateModelUI(true); + + // 执行加载 KNN 分类器的核心逻辑 + if (modelData && binData) { // 仅当同时有 modelData 和 binData 时才尝试加载 + knnClassifier.clearAllClasses(); + + Object.keys(modelData.dataset).forEach(label => { + const classDataMeta = modelData.dataset[label]; + const startFloat32ElementIndex = classDataMeta.start; + const numFloat32Elements = classDataMeta.length; - } catch (error) { - showStatus(MODEL_STATUS, 'error', `处理模型数据失败: ${error.message}`); - console.error('处理模型数据失败:', error); - updateModelUI(false); + const featureDim = modelData.featureDim || 1280; + + // 检查 binData 是否足够大以包含所需的数据 + if (startFloat32ElementIndex + numFloat32Elements > binData.length) { + throw new Error(`模型数据错误: 类别 ${label} 的数据超出 .bin 文件范围。`); + } + + const classFeatures = binData.subarray(startFloat32ElementIndex, startFloat32ElementIndex + numFloat32Elements); + + if (classFeatures.length === 0) { + console.warn(`类别 ${label} 没有找到特征数据，跳过。`); + return; + } + + if (classFeatures.length % featureDim !== 0) { + const actualSamples = classFeatures.length / featureDim; + console.error( + `--- 类别: ${label} ---`, + `起始 Float32 元素索引: ${startFloat32ElementIndex}`, + `该类别 Float32 元素数量: ${numFloat32Elements}`, + `ERROR: 特征数据长度 (${classFeatures.length} 个 Float32 元素) 与特征维度 (${featureDim}) 不匹配！` + + `实际样本数计算为 ${actualSamples} (预期为整数)。`, + `请检查您的模型导出逻辑和训练数据的完整性。` + ); + throw new Error("模型数据完整性错误：特征数据长度与维度不匹配。"); + } + + const numSamples = classFeatures.length / featureDim; + + for (let i = 0; i < numSamples; i++) { + const startIndex = i * featureDim; + const endIndex = (i + 1) * featureDim; + const sampleFeatures = classFeatures.subarray(startIndex, endIndex); + + const sampleTensor = tf.tensor(sampleFeatures, [1, featureDim]); + + knnClassifier.addExample(sampleTensor, parseInt(label)); + tf.dispose(sampleTensor); // 及时释放 Tensor 内存 + } + }); + + if (modelData.classList && Array.isArray(modelData.classList)) { + classNames = modelData.classList.map(c => c.name); + } else { + console.warn('模型JSON中未找到 classList 字段或格式不正确，使用默认类别名称。'); + // 如果没有 classList，尝试从 dataset 的键值来生成 + classNames = Object.keys(modelData.dataset).map(key => `Class ${parseInt(key) + 1}`); } - }; - inputBin.click(); - }; - inputJson.click(); + + showStatus(MODEL_STATUS, 'success', `KNN 模型 "${modelName}" 加载成功！类别: ${classNames.join(', ')}。`); + updateModelUI(true); // 模型已加载，可以启动摄像头 + + } else if (modelData && !binData && !jsonUrl) { + // 如果只有 modelData 且不是从 CDN 加载，说明可能是单文件旧格式，但之前的逻辑没成功处理 + // 应该是由 loadSingleJsonModel 捕获，这里作为 fallback + showStatus(MODEL_STATUS, 'error', '未知模型加载状态：仅有 JSON 数据，没有 BIN 数据。'); + updateModelUI(false); + } + + } catch (error) { + showStatus(MODEL_STATUS, 'error', `加载 KNN 模型失败: ${error.message}`); + console.error('加载 KNN 模型总失败:', error); + updateModelUI(false); + // 重新抛出错误，以便 initModel 可以捕获 CDN 加载失败的情况 + throw error; + } } - + /** * 辅助函数：处理旧的单文件JSON模型格式（ dataset 字段直接包含数据而不是偏移量） * @param {object} modelData - 已解析的 JSON 模型数据 + * @returns {Promise} */ async function loadSingleJsonModel(modelData) { try { @@ -257,6 +352,7 @@ async function loadSingleJsonModel(modelData) { const numSamples = data.length / featureDim; const tensor = tf.tensor(data, [numSamples, featureDim]); knnClassifier.addExample(tensor, parseInt(key)); + tf.dispose(tensor); // 及时释放 Tensor 内存 }); if (modelData.classList && Array.isArray(modelData.classList)) { @@ -274,6 +370,7 @@ async function loadSingleJsonModel(modelData) { showStatus(MODEL_STATUS, 'error', `加载单文件JSON模型失败: ${error.message}`); console.error('加载单文件JSON模型失败:', error); updateModelUI(false); + throw error; // 重新抛出错误 } } @@ -361,7 +458,7 @@ async function predictLoop() { commandCandidate = '0'; // 使用默认命令 } else { const prediction = await knnClassifier.predictClass(features, k); - features.dispose(); + features.dispose(); // 及时释放 Tensor 内存 if (prediction && prediction.confidences) { let maxConfidence = 0; @@ -591,7 +688,7 @@ async function sendToSerialPort(command) { // =================================== CONNECT_SERIAL_BTN.addEventListener('click', connectSerial); DISCONNECT_SERIAL_BTN.addEventListener('click', disconnectSerial); -LOAD_MODEL_BTN.addEventListener('click', loadKNNModel); +LOAD_MODEL_BTN.addEventListener('click', () => loadKNNModel(null, null)); // 手动加载时，不传 CDN URL START_WEBCAM_BTN.addEventListener('click', startWebcam); STOP_WEBCAM_BTN.addEventListener('click', stopWebcam); @@ -600,5 +697,5 @@ STOP_WEBCAM_BTN.addEventListener('click', stopWebcam); // =================================== document.addEventListener('DOMContentLoaded', () => { checkWebSerialCompatibility(); // 检查 Web Serial API 兼容性 - initModel(); // 加载 MobileNet 和 KNN 分类器实例 + initModel(); // 加载 MobileNet 和 KNN 分类器实例，并尝试自动加载 KNN 模型 }); diff --git a/game/石头剪刀布/game.html b/game/石头剪刀布/game.html index 8655122..8b1a365 100644 --- a/game/石头剪刀布/game.html +++ b/game/石头剪刀布/game.html @@ -464,7 +464,7 @@ '1': 2, // 对应剪刀 '2': 3 // 对应布 }; - // 存储实际导入模型中的分类名称，例如 {"0": "拳头", "1": "V字", "2": "手掌"} + // 导入模型后，存储实际导入模型中的分类名称，例如 {"0": "拳头", "1": "V字", "2": "手掌"} let importedClassNames = {}; // DOM 元素引用 @@ -660,7 +660,6 @@ isHandDetectionReady = true; // 摄像头和检测器已就绪 console.log('手部检测器和摄像头已就绪。'); - document.getElementById('gestureStatus').textContent = '手部检测器已就绪。请导入手势模型。'; // 启用导入模型按钮，禁用开始游戏按钮直到模型导入 startBtn.disabled = true; @@ -669,6 +668,28 @@ // 4. 开始持续检测循环 (现在仅检测和绘制骨骼，不预测，直到模型导入) startDetectionLoop(); + + // --- 新增：尝试自动从 CDN 加载 KNN 模型数据 --- + // !!! 请替换为你的实际 CDN 模型 URL !!! + const cdnModelJsonUrl = 'https://goood-space-assets.oss-cn-beijing.aliyuncs.com/public/models/hand-knn-model-2.json'; + + console.log(`尝试从 CDN 自动加载 KNN 模型数据: ${cdnModelJsonUrl}`); + document.getElementById('gestureStatus').textContent = '正在尝试从 CDN 加载手势识别模型...'; + + try { + await loadKNNModelData(null, cdnModelJsonUrl); // 传入 CDN URL, file 为 null + document.getElementById('gestureStatus').textContent = 'CDN 手势识别模型加载成功！可以开始游戏了。'; + isModelLoaded = true; // 标记模型已加载 + startBtn.disabled = false; // 启用开始游戏按钮 + btnImportModel.disabled = true; // 自动加载成功后，禁用手动导入按钮 + } catch (cdnError) { + console.warn('CDN KNN 模型数据自动加载失败:', cdnError); + document.getElementById('gestureStatus').textContent = `CDN 模型加载失败: ${cdnError.message}。请手动导入模型。`; + isModelLoaded = false; // 标记模型未加载 + startBtn.disabled = true; // 模型未加载，开始按钮仍禁用 + btnImportModel.disabled = false; // 允许手动导入 + } + // --- 结束 CDN 自动加载 --- } catch (error) { console.error('手势识别初始化失败:', error); @@ -712,98 +733,119 @@ } } - // 修改 loadModel 函数，从文件事件中读取并加载模型 - async function loadModelFromFile(file) { - return new Promise((resolve, reject) => { - const reader = new FileReader(); - reader.onload = async (e) => { - try { - const loadedModelData = JSON.parse(e.target.result); - - if (!loadedModelData || !loadedModelData.dataset || !loadedModelData.classMap) { - throw new Error('模型数据结构不正确 (缺少 classMap 或 dataset)。'); - } - - // 清除分类器之前可能存在的任何数据 - classifier.clearAllClasses(); + /** + * 加载 KNN 模型数据，支持从文件或 CDN URL 加载。 + * @param {File} [file] - 可选，用户选择的 KNN 模型 JSON 文件。 + * @param {string} [cdnUrl] - 可选，KNN 模型 JSON 文件的 CDN URL。 + * @returns {Promise} + */ + async function loadKNNModelData(file = null, cdnUrl = null) { + document.getElementById('gestureStatus').textContent = '正在加载模型数据...'; + startBtn.disabled = true; // 加载中禁用开始按钮 + btnImportModel.disabled = true; // 加载中禁用导入按钮 - const dataset = {}; - let totalExamples = 0; - - // 恢复分类器数据集 - for (const classId in loadedModelData.dataset) { - const classData = loadedModelData.dataset[classId]; - if (classData && classData.length > 0) { - // 确保所有样本的特征长度一致，并且是数字数组 - if (classData.some(sample => !Array.isArray(sample) || sample.some(val => typeof val !== 'number'))) { - throw new Error(`类别 ${classId} 包含无效的样本数据 (不是数字数组)。`); - } + try { + let loadedModelData; - const tensors = classData.map(data => tf.tensor1d(data)); - // tf.stack 会将一组张量沿新轴堆叠起来 - // 如果样本特征都是 1D 张量，stack 后会变成 2D 张量 [numSamples, featureLength] - const stacked = tf.stack(tensors); - dataset[classId] = stacked; - totalExamples += classData.length; - // 及时清理临时张量 - tensors.forEach(t => t.dispose()); - } else { - console.warn(`类别 ${classId} 没有样本数据。`); - } - } - - classifier.setClassifierDataset(dataset); - importedClassNames = loadedModelData.classMap; // 更新类别名称映射 - - console.log(`模型加载成功！共加载 ${totalExamples} 个样本。`); - console.log('类别映射 (导入):', importedClassNames); - - // 更新页面上的映射显示 - if (importedClassNames) { - document.getElementById('mapping0').innerHTML = - `分类0 (${importedClassNames['0'] || '未定义'}) → 石头 ✊`; - document.getElementById('mapping1').innerHTML = - `分类1 (${importedClassNames['1'] || '未定义'}) → 剪刀 ✌️`; - document.getElementById('mapping2').innerHTML = - `分类2 (${importedClassNames['2'] || '未定义'}) → 布 ✋`; - } - document.getElementById('gestureStatus').textContent = '手势模型导入成功！可以开始游戏了。'; - isModelLoaded = true; // 设置模型已加载状态 - startBtn.disabled = false; // 启用开始游戏按钮 - btnImportModel.disabled = true; // 导入按钮禁用 - resolve(); - - } catch (error) { - console.error('模型加载失败:', error); - reject(new Error(`模型导入失败: ${error.message}`)); - } finally { - fileImporter.value = ''; // 清空文件输入 + if (file) { + const reader = new FileReader(); + const fileReadPromise = new Promise((resolve, reject) => { + reader.onload = e => resolve(JSON.parse(e.target.result)); + reader.onerror = error => reject(new Error('文件读取失败。')); + reader.readAsText(file); + }); + loadedModelData = await fileReadPromise; + } else if (cdnUrl) { + const response = await fetch(cdnUrl); + if (!response.ok) { + throw new Error(`无法从 ${cdnUrl} 加载模型数据: ${response.statusText}`); } - }; - reader.onerror = (error) => { - console.error('文件读取失败:', error); - reject(new Error('文件读取失败。')); - }; - reader.readAsText(file); - }); + loadedModelData = await response.json(); + } else { + throw new Error('未提供模型文件或 CDN URL。'); + } + + if (!loadedModelData || !loadedModelData.dataset || !loadedModelData.classMap) { + throw new Error('模型数据结构不正确 (缺少 classMap 或 dataset)。'); + } + + classifier.clearAllClasses(); + + const dataset = {}; + let totalExamples = 0; + + for (const classId in loadedModelData.dataset) { + const classData = loadedModelData.dataset[classId]; + if (classData && classData.length > 0) { + if (classData.some(sample => !Array.isArray(sample) || sample.some(val => typeof val !== 'number'))) { + throw new Error(`类别 ${classId} 包含无效的样本数据 (不是数字数组)。`); + } + + const tensors = classData.map(data => tf.tensor1d(data)); + const stacked = tf.stack(tensors); + dataset[classId] = stacked; + totalExamples += classData.length; + tensors.forEach(t => t.dispose()); + } else { + console.warn(`类别 ${classId} 没有样本数据。`); + } + } + + classifier.setClassifierDataset(dataset); + importedClassNames = loadedModelData.classMap; // 更新类别名称映射 + + console.log(`模型加载成功！共加载 ${totalExamples} 个样本。`); + console.log('类别映射 (导入):', importedClassNames); + + // 更新页面上的映射显示 + if (importedClassNames) { + document.getElementById('mapping0').innerHTML = + `分类0 (${importedClassNames['0'] || '未定义'}) → 石头 ✊`; + document.getElementById('mapping1').innerHTML = + `分类1 (${importedClassNames['1'] || '未定义'}) → 剪刀 ✌️`; + document.getElementById('mapping2').innerHTML = + `分类2 (${importedClassNames['2'] || '未定义'}) → 布 ✋`; + } + document.getElementById('gestureStatus').textContent = '手势模型导入成功！可以开始游戏了。'; + isModelLoaded = true; // 设置模型已加载状态 + startBtn.disabled = false; // 启用开始游戏按钮 + btnImportModel.disabled = true; // 导入按钮禁用 + + // 如果模型加载成功，且之前是因为没有模型而被禁用，现在应该解锁开始按钮 + if(isHandDetectionReady && isModelLoaded) { + startBtn.disabled = false; + } + + } catch (error) { + console.error('模型加载失败:', error); + document.getElementById('gestureStatus').textContent = `模型加载失败: ${error.message}`; + isModelLoaded = false; + startBtn.disabled = true; // 失败后保持禁用 + btnImportModel.disabled = false; // 失败后可再次导入 + throw error; // 重新抛出错误，以便调用者（如initHandDetection）能捕获 + } finally { + fileImporter.value = ''; // 清空文件输入 + } } - - // 文件选择事件处理器 + + + // 文件选择事件处理器 (现在它调用通用加载函数) async function handleModelImport(event) { const file = event.target.files[0]; - if (!file) return; + if (!file) { + document.getElementById('gestureStatus').textContent = '未选择文件。'; + return; + } - document.getElementById('gestureStatus').textContent = '正在导入模型...'; + document.getElementById('gestureStatus').textContent = '正在从本地文件导入模型...'; startBtn.disabled = true; // 导入中禁用开始按钮 btnImportModel.disabled = true; // 导入中禁用导入按钮 try { - await loadModelFromFile(file); + await loadKNNModelData(file, null); // 传入文件对象，cdnUrl 为 null } catch (error) { - alert(error.message); - document.getElementById('gestureStatus').textContent = `导入失败: ${error.message}`; - startBtn.disabled = true; // 失败后仍保持禁用 - btnImportModel.disabled = false; // 失败后可再次导入 + // 错误信息已在 loadKNNModelData 内部处理并设置状态 + alert(error.message); // 弹出错误提示 } } @@ -849,11 +891,12 @@ const gameChoice = gestureClassToGameChoice[predictedClassId]; // 设一个置信度阈值，避免误识别 (例如 70%) - if (gameChoice && confidence > 70) { + const MIN_PREDICT_CONFIDENCE = 70; // 调整为更易读的常量 + if (gameChoice && confidence >= MIN_PREDICT_CONFIDENCE) { currentDetectedGesture = gameChoice; const gestureName = choiceNames[gameChoice]; document.getElementById('gestureStatus').textContent = - `识别: ${importedClassNames[predictedClassId] || `未知类别${predictedClassId}`} (${gestureName}) 置信度: ${confidence}%`; + `识别: ${importedClassNames[predictedClassId] || `类别${predictedClassId}`} (${gestureName}) 置信度: ${confidence}%`; document.getElementById('gestureStatus').style.color = '#00ff00'; document.getElementById('gestureIndicator').textContent = choices[gameChoice]; @@ -878,8 +921,14 @@ } else { currentDetectedGesture = null; - document.getElementById('gestureStatus').textContent = `识别不足 (置信度: ${confidence}%)`; - document.getElementById('gestureStatus').style.color = '#ffaa00'; // 橙色警告 + if (isGameActive && lockedGesture !== null) { + // 如果在游戏倒计时且手势已锁定，则不更新状态文本防止抖动 + document.getElementById('gestureStatus').textContent = `已锁定手势: ${choiceNames[lockedGesture]} (${confidence}%)`; + document.getElementById('gestureStatus').style.color = '#00ff00'; + } else { + document.getElementById('gestureStatus').textContent = `识别不足 (置信度: ${confidence}%)`; + document.getElementById('gestureStatus').style.color = '#ffaa00'; // 橙色警告 + } document.getElementById('gestureIndicator').textContent = '❓'; document.getElementById('gestureIndicator').style.display = 'block'; // 保持显示，但显示问号 document.getElementById('currentClassDisplay').style.display = 'none'; // 隐藏卡片 diff --git a/game/石头剪刀布/hand-knn-model-2.json b/game/石头剪刀布/hand-knn-model-2.json new file mode 100644 index 0000000..0395ba4 --- /dev/null +++ b/game/石头剪刀布/hand-knn-model-2.json @@ -0,0 +1 @@ +{"classMap":{"0":"手势 1","1":"手势 2","2":"手势 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\ No newline at end of file diff --git a/game/贪吃蛇/snake_game.html b/game/贪吃蛇/snake_game.html index 0c74f30..74b634e 100644 --- a/game/贪吃蛇/snake_game.html +++ b/game/贪吃蛇/snake_game.html @@ -197,6 +197,9 @@ margin-bottom: 20px; text-shadow: 3px 3px 6px rgba(0, 0, 0, 0.5); } + .overlay p { + font-size: 0.8em; /* 调整字体大小 */ + } .overlay button { margin-top: 30px; font-size: 1.5em; @@ -291,11 +294,11 @@

姿态控制说明

    -
  • 向上: 双手举过头顶
    • -
  • 向下: 双手放在身体两侧或下垂
    • -
  • 向左: 左手平举
    • -
  • 向右: 右手平举
    • -
  • 静止: 保持站立姿势 (无特定动作)
    • +
  • 向上: 双手举过头顶 (分类0)
    • +
  • 向下: 双手放在身体两侧或下垂 (分类1)
    • +
  • 向左: 左手平举 (分类2)
    • +
  • 向右: 右手平举 (分类3)
    • +
  • 静止: 无特定动作 (游戏开始前/结束后姿态)

(确保在摄像头画面中能清晰识别全身)

@@ -356,7 +359,13 @@ '3': 'RIGHT' // 类别3 -> 向右 }; // 用于显示给用户的类别名称（加载模型时从JSON中读取） - let importedClassNames = {}; + // 确保你的训练模型有这四个类别 + let importedClassNames = { + '0': '举手', + '1': '下蹲', + '2': '左抬手', + '3': '右抬手' + }; let snakeDirection = 'RIGHT'; // 贪吃蛇当前方向 // ========================================================== @@ -380,7 +389,7 @@ document.addEventListener('DOMContentLoaded', initApp); async function initApp() { - updateGameStatus('loading'); + updateGameStatus('initial'); // 初始状态设为 'initial' statusDisplay.textContent = '正在加载 MoveNet 模型和摄像头...'; startBtn.disabled = true; importModelBtn.disabled = true; @@ -397,8 +406,8 @@ await setupCamera(); isPoseDetectionReady = true; - statusDisplay.textContent = 'MoveNet 和摄像头已就绪。请导入姿态模型。'; - importModelBtn.disabled = false; // 启用导入按钮 + statusDisplay.textContent = 'MoveNet 和摄像头已就绪。'; // 状态更新 + importModelBtn.disabled = false; // 启用导入按钮 (因为CDN加载可能失败，需要手动导入) // 启动姿态检测循环（只进行检测和绘制，不预测，直到模型导入） startPoseDetectionLoop(); @@ -412,20 +421,50 @@ // 键盘快捷键 document.addEventListener('keydown', (e) => { if (e.key === 'Enter') { + // 确保只有当游戏处于“准备好”或“游戏结束”状态才能启动或重新开始 if (gameStatus === 'ready' || gameStatus === 'gameOver') { - startBtn.click(); // 模拟点击开始按钮 - } else if (gameStatus === 'playing') { - // 可选：添加暂停功能 + // 如果是游戏结束状态且按钮可用，点击 restartBtn + if (gameStatus === 'gameOver' && !restartBtn.disabled) { + restartBtn.click(); + } else if (gameStatus === 'ready' && !startBtn.disabled) { + // 如果是准备就绪状态且按钮可用，点击 startBtn + startBtn.click(); + } } } }); - updateGameUI(); + // --- 新增：尝试自动从 CDN 加载 KNN 模型数据 --- + // !!! 请替换为你的实际 CDN 模型 URL !!! + const cdnModelJsonUrl = 'https://goood-space-assets.oss-cn-beijing.aliyuncs.com/public/models/pose-knn-model.json'; + + console.log(`尝试从 CDN 自动加载 KNN 模型数据: ${cdnModelJsonUrl}`); + statusDisplay.textContent = '正在尝试从 CDN 加载姿态识别模型...'; + + try { + await loadKNNModelData(null, cdnModelJsonUrl); // 传入 CDN URL, file 为 null + statusDisplay.textContent = 'CDN 姿态识别模型加载成功！可以开始游戏了。'; + isModelLoaded = true; // 标记模型已加载 + startBtn.disabled = false; // 启用开始游戏按钮 + importModelBtn.disabled = true; // 自动加载成功后，禁用手动导入按钮 + updateGameStatus('ready'); // 更新游戏状态 + } catch (cdnError) { + console.warn('CDN KNN 模型数据自动加载失败:', cdnError); + statusDisplay.textContent = `CDN 模型加载失败: ${cdnError.message}。请手动导入模型。`; + isModelLoaded = false; // 标记模型未加载 + startBtn.disabled = true; // 模型未加载，开始按钮仍禁用 + importModelBtn.disabled = false; // 允许手动导入 + updateGameStatus('initial'); // 保持初始状态 + } + // --- 结束 CDN 自动加载 --- + + updateGameUI(); // 确保 UI 在初始化结束时更新一次 } catch (error) { console.error("应用初始化失败:", error); statusDisplay.textContent = `初始化失败: ${error.message}`; - alert(`应用初始化失败: ${error.message}\n请检查摄像头权限或网络连接。`); + alert(`应用初始化失败: ${error.message}\n请检查摄像头权限、网络连接或刷新页面。`); + updateGameStatus('initial'); } } @@ -477,18 +516,20 @@ if (poses && poses.length > 0) { drawPose(poses[0]); // 绘制检测到的姿态 - if (isModelLoaded && gameStatus === 'playing') { // 仅在游戏进行中时才预测并控制贪吃蛇 + // 仅在游戏进行中且模型已加载时才预测并控制贪吃蛇 + if (isModelLoaded && gameStatus === 'playing') { const poseTensor = flattenPose(poses[0]); if (classifier.getNumClasses() > 0) { const prediction = await classifier.predictClass(poseTensor); poseTensor.dispose(); // 释放张量内存 const predictedClassId = prediction.label; - const confidence = prediction.confidences[predictedClassId]; + const confidence = prediction.confidences[predictedClassId] || 0; // 确保有默认值 currentConfidence = (confidence * 100).toFixed(1); // 设定一个置信度阈值，例如 70% - if (confidence > 0.70) { + const MIN_PREDICT_CONFIDENCE = 70; + if (confidence * 100 > MIN_PREDICT_CONFIDENCE) { currentDetectedClassId = predictedClassId; const gameDirection = gestureClassToGameDirection[predictedClassId]; if (gameDirection) { @@ -509,11 +550,7 @@ controlCommandDisplay.textContent = '静止 (模型无数据)'; } - } else if (!isModelLoaded) { - currentDetectedClassId = null; - currentConfidence = 0; - controlCommandDisplay.textContent = '静止 (等待模型)'; - } else if (gameStatus !== 'playing') { + } else { // 如果游戏未进行或模型未加载，则不进行预测控制 currentDetectedClassId = null; currentConfidence = 0; controlCommandDisplay.textContent = '静止'; @@ -575,89 +612,133 @@ } // ========================================================== - // 模型导入导出 + // 模型导入导出 (改造为支持文件和 CDN URL) // ========================================================== - async function handleModelImport(event) { - const file = event.target.files[0]; - if (!file) return; - - updateGameStatus('loading'); - statusDisplay.textContent = '正在导入模型...'; - startBtn.disabled = true; - importModelBtn.disabled = true; + /** + * 加载 KNN 模型数据，支持从文件或 CDN URL 加载。 + * @param {File} [file] - 可选，用户选择的 KNN 模型 JSON 文件。 + * @param {string} [cdnUrl] - 可选，KNN 模型 JSON 文件的 CDN URL。 + * @returns {Promise} + */ + async function loadKNNModelData(file = null, cdnUrl = null) { + + statusDisplay.textContent = '正在加载模型数据...'; + startBtn.disabled = true; // 加载中禁用开始按钮 + importModelBtn.disabled = true; // 加载中禁用导入按钮 try { - await loadModelFromFile(file); - statusDisplay.textContent = '姿态模型导入成功！'; - isModelLoaded = true; - startBtn.disabled = false; // 启用开始按钮 - importModelBtn.disabled = true; // 禁用导入按钮 + let loadedModelData; + + if (file) { + const reader = new FileReader(); + const fileReadPromise = new Promise((resolve, reject) => { + reader.onload = e => resolve(JSON.parse(e.target.result)); + reader.onerror = error => reject(new Error('文件读取失败。')); + reader.readAsText(file); + }); + loadedModelData = await fileReadPromise; + } else if (cdnUrl) { + const response = await fetch(cdnUrl); + if (!response.ok) { + throw new Error(`无法从 ${cdnUrl} 加载模型数据: ${response.statusText}`); + } + loadedModelData = await response.json(); + } else { + throw new Error('未提供模型文件或 CDN URL。'); + } + + if (!loadedModelData || !loadedModelData.dataset || !loadedModelData.classMap) { + throw new Error('模型数据结构不正确 (缺少 classMap 或 dataset)。'); + } + + classifier.clearAllClasses(); + + const dataset = {}; + let totalExamples = 0; + + for (const classId in loadedModelData.dataset) { + const classData = loadedModelData.dataset[classId]; + if (classData && classData.length > 0) { + if (classData.some(sample => !Array.isArray(sample) || sample.some(val => typeof val !== 'number'))) { + throw new Error(`类别 ${classId} 包含无效的样本数据 (不是数字数组)。`); + } + const tensors = classData.map(data => tf.tensor1d(data)); + const stacked = tf.stack(tensors); + dataset[classId] = stacked; + totalExamples += classData.length; + tensors.forEach(t => t.dispose()); + } else { + console.warn(`类别 ${classId} 没有样本数据。`); + } + } + + classifier.setClassifierDataset(dataset); + importedClassNames = loadedModelData.classMap; // 更新类别名称映射 + + console.log(`模型加载成功！共加载 ${totalExamples} 个样本。`); + console.log('类别映射 (导入):', importedClassNames); + + // 更新页面上的映射显示，如果需要的话。 + // 确保 instructions 中的分类名称与 importedClassNames 保持一致 + const instructionListItems = document.querySelectorAll('.instructions li'); + instructionListItems.forEach((item, index) => { + const classId = String(index); // 假定指令顺序与分类ID一致 + const classNameFromModel = importedClassNames[classId] || '未定义'; + let controlDesc = ''; + switch(classId) { + case '0': controlDesc = '双手举过头顶'; break; + case '1': controlDesc = '双手放在身体两侧或下垂'; break; + case '2': controlDesc = '左手平举'; break; + case '3': controlDesc = '右手平举'; break; + default: controlDesc = '未知动作'; + } + item.querySelector('span').innerHTML = `${controlDesc} (分类${classId}: ${classNameFromModel})`; + // 如果你的 instructions 区域已经有预设的文字，并且你只希望更新 Classification ID， + // 可以根据 HTML 结构微调这里的更新逻辑。 + }); + + + statusDisplay.textContent = '姿态模型导入成功！可以开始游戏了。'; + isModelLoaded = true; // 设置模型已加载状态 + startBtn.disabled = false; // 启用开始游戏按钮 + importModelBtn.disabled = true; // 导入按钮禁用 updateGameStatus('ready'); + } catch (error) { - console.error('模型导入失败:', error); - statusDisplay.textContent = `模型导入失败: ${error.message}`; - alert(`模型导入失败: ${error.message}\n请确保文件是正确的模型JSON文件。`); - startBtn.disabled = true; // 导入失败则不能开始 - importModelBtn.disabled = false; // 可以再试一次导入 + console.error('模型加载失败:', error); + statusDisplay.textContent = `模型加载失败: ${error.message}`; isModelLoaded = false; + startBtn.disabled = true; // 失败后保持禁用 + importModelBtn.disabled = false; // 失败后可再次导入 updateGameStatus('initial'); + throw error; // 重新抛出错误，以便调用者能捕获 } finally { fileImporter.value = ''; // 清空文件输入 } } - async function loadModelFromFile(file) { - // 这段逻辑与您之前在 script.js 中 `importModel` 的核心逻辑一致 - return new Promise((resolve, reject) => { - const reader = new FileReader(); - reader.onload = async (e) => { - try { - const loadedModelData = JSON.parse(e.target.result); - - if (!loadedModelData || !loadedModelData.dataset || !loadedModelData.classMap) { - throw new Error('模型数据结构不正确 (缺少 classMap 或 dataset)。'); - } - - classifier.clearAllClasses(); - const dataset = {}; - let totalExamples = 0; - - for (const classId in loadedModelData.dataset) { - const classData = loadedModelData.dataset[classId]; - if (classData && classData.length > 0) { - if (classData.some(sample => !Array.isArray(sample) || sample.some(val => typeof val !== 'number'))) { - throw new Error(`类别 ${classId} 包含无效的样本数据 (不是数字数组)。`); - } - const tensors = classData.map(data => tf.tensor1d(data)); - const stacked = tf.stack(tensors); - dataset[classId] = stacked; - totalExamples += classData.length; - tensors.forEach(t => t.dispose()); - } else { - console.warn(`类别 ${classId} 没有样本数据。`); - } - } - - classifier.setClassifierDataset(dataset); - importedClassNames = loadedModelData.classMap; // 更新类别名称映射 + // 文件选择事件处理器 (现在它调用通用加载函数) + async function handleModelImport(event) { + const file = event.target.files[0]; + if (!file) { + statusDisplay.textContent = '未选择文件。'; + return; + } - console.log(`模型加载成功！共加载 ${totalExamples} 个样本。`); - console.log('类别映射 (导入):', importedClassNames); - resolve(); - - } catch (error) { - reject(error); - } - }; - reader.onerror = (error) => { - reject(new Error('文件读取失败。')); - }; - reader.readAsText(file); - }); + statusDisplay.textContent = '正在从本地文件导入模型...'; + startBtn.disabled = true; // 导入中禁用开始按钮 + importModelBtn.disabled = true; // 导入中禁用导入按钮 + + try { + await loadKNNModelData(file, null); // 传入文件对象，cdnUrl 为 null + } catch (error) { + // 错误信息已在 loadKNNModelData 内部处理并设置状态 + alert(error.message); // 弹出错误提示 + } } - + // =================================== // 贪吃蛇游戏逻辑 // =================================== @@ -817,6 +898,7 @@ else if (newDirection === 'UP' && snakeDirection !== 'DOWN') snakeDirection = 'UP'; else if (newDirection === 'RIGHT' && snakeDirection !== 'LEFT') snakeDirection = 'RIGHT'; else if (newDirection === 'DOWN' && snakeDirection !== 'UP') snakeDirection = 'DOWN'; + // console.log("Snake direction changed to:", snakeDirection); // 调试用 } function endGame() { @@ -836,7 +918,7 @@ function updateGameStatus(status) { gameStatus = status; - console.log("Game status updated to:", gameStatus); + // console.log("Game status updated to:", gameStatus); // 调试用 } function updateScoreDisplay() { @@ -847,7 +929,7 @@ // 更新姿态识别显示 if (currentDetectedClassId !== null) { const className = importedClassNames[currentDetectedClassId] || `未知类别 ${currentDetectedClassId}`; - currentGestureDisplay.textContent = `${className} (${currentConfidence}%)`; + currentGestureDisplay.textContent = `${className}`; gestureConfidenceDisplay.textContent = `置信度: ${currentConfidence}%`; gestureConfidenceDisplay.style.color = currentConfidence > 70 ? '#00ff00' : '#ffaa00'; } else { @@ -855,19 +937,70 @@ gestureConfidenceDisplay.textContent = ''; } - // 更新状态信息 + // 根据游戏状态更新按钮和文本 if (gameStatus === 'initial') { statusDisplay.textContent = '等待模型导入...'; + startBtn.disabled = true; + importModelBtn.disabled = false; + restartBtn.disabled = true; } else if (gameStatus === 'loading') { - // 状态文本已经在 initApp 或 handleModelImport 中设置 + // 状态文本已经在加载函数中设置 + startBtn.disabled = true; + importModelBtn.disabled = true; + restartBtn.disabled = true; } else if (gameStatus === 'ready') { statusDisplay.textContent = '模型已加载，点击“开始游戏”或按“Enter”键。'; + startBtn.disabled = false; + importModelBtn.disabled = true; + restartBtn.disabled = true; // 只有在gameOver后才启用重新开始 } else if (gameStatus === 'playing') { statusDisplay.textContent = '游戏进行中...'; + startBtn.disabled = true; + importModelBtn.disabled = true; + restartBtn.disabled = true; } else if (gameStatus === 'gameOver') { statusDisplay.textContent = '游戏结束！点击“重新开始”或按“Enter”键。'; + startBtn.disabled = true; + importModelBtn.disabled = true; + restartBtn.disabled = false; // 游戏结束时启用重新开始 } } + + // --- 应用启动 --- + window.addEventListener('DOMContentLoaded', () => { + console.log('DOM content loaded. Initializing hand detection...'); + initApp().catch(error => { + console.error('App initialization failed:', error); + // 错误信息已在 initApp 内部处理并alert + }); + + // 绑定导入模型事件 + fileImporter.addEventListener('change', handleModelImport); + importModelBtn.addEventListener('click', () => { + fileImporter.click(); // 点击按钮触发文件输入 + }); + }); + + // 页面关闭时清理资源 (可选，但推荐) + window.onbeforeunload = () => { + if (animationFrameId) { + cancelAnimationFrame(animationFrameId); + } + if (gameLoopId) { + clearInterval(gameLoopId); + } + if (detector) { + // MediaPipe runtime 通常会管理其自己的 WebGL 资源， + // 明确调用 dispose() 可能会导致后续异常，如果 MediaPipe 内部未预期再次使用。 + // 如果遇到问题，可以注释掉这行。 + // detector.dispose(); + } + if (classifier) { + classifier.clearAllClasses(); + } + tf.disposeAll(); // 释放所有TensorFlow.js张量，防止内存泄露 + console.log('Resources cleaned up.'); + }; diff --git a/game/钢琴/hand-knn-model.json b/game/钢琴/hand-knn-model.json new file mode 100644 index 0000000..ef9a53c --- /dev/null +++ b/game/钢琴/hand-knn-model.json @@ -0,0 +1 @@ +{"classMap":{"0":"手势 1","1":"手势 2","2":"手势 3","3":"手势 4","4":"手势 5","5":"手势 6","6":"手势 7","7":"手势 8","8":"手势 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\ No newline at end of file diff --git a/game/钢琴/index.html b/game/钢琴/index.html index 542518f..697016b 100644 --- a/game/钢琴/index.html +++ b/game/钢琴/index.html @@ -334,9 +334,7 @@ '5': { name: 'A2', audio: new Audio('sounds/A2.mp3') }, '6': { name: 'B2', audio: new Audio('sounds/B2.mp3') }, '7': { name: '高音C (C3)', audio: new Audio('sounds/C3.mp3') }, - '8': { name: '空', audio: new Audio('sounds/rest.mp3') } - // 您需要在 index.html 中训练 8 个不同的手势，分别对应这些类别ID (0-7)。 - // 如果不训练足够多的手势，KNN 分类器将无法预测这些类别。 + '8': { name: '空', audio: new Audio('sounds/rest.mp3') } // 如果需要休息/不触发音符的类别 }; // 可配置项 @@ -378,7 +376,7 @@ await setupCamera(); isHandDetectionReady = true; - updateGlobalStatus('手部检测器和摄像头已就绪。请导入您的手势模型。', 'ready'); + updateGlobalStatus('手部检测器和摄像头已就绪。'); lockControls(false); startStopBtn.disabled = true; @@ -387,7 +385,7 @@ // 绑定按钮事件 importModelBtn.addEventListener('click', () => fileImporter.click()); - fileImporter.addEventListener('change', handleModelImport); + fileImporter.addEventListener('change', (event) => loadKNNModelData(event.target.files[0])); // 改为通用加载函数 startStopBtn.addEventListener('click', togglePlaying); // 预加载所有音频 @@ -396,6 +394,30 @@ // 初始更新映射UI，显示所有8个音符的映射 updateGestureMappingUI(); + // --- 新增：尝试自动从 CDN 加载 KNN 模型数据 --- + // !!! 请替换为你的实际 CDN 模型 URL !!! + const cdnJsonUrl = 'https://goood-space-assets.oss-cn-beijing.aliyuncs.com/public/models/hand-knn-model.json'; + // 如果你的 KNN 数据是分 bin 而不是直接包含在 json，你需要类似上次 script.js 那样处理两个文件 + // 但通常 KNN Classifier 的 export/import 是一个单一 JSON 文件 + + console.log(`尝试从 CDN 自动加载 KNN 模型数据: ${cdnJsonUrl}`); + updateGlobalStatus('正在尝试从 CDN 加载手势识别模型...', 'loading'); + try { + await loadKNNModelData(null, cdnJsonUrl); // 传递 CDN URL，不传文件 + updateGlobalStatus('CDN 手势识别模型加载成功！', 'success'); + isModelLoaded = true; + importModelBtn.disabled = true; // 自动加载成功后禁用手动导入 + startStopBtn.disabled = false; + } catch (cdnError) { + console.warn('CDN KNN 模型数据自动加载失败:', cdnError); + updateGlobalStatus(`CDN 模型加载失败: ${cdnError.message}。请手动导入模型。`, 'warning'); + isModelLoaded = false; + importModelBtn.disabled = false; // CDN 失败，允许手动导入 + startStopBtn.disabled = true; + } + // --- 结束 CDN 自动加载 --- + + } catch (error) { console.error("应用初始化失败:", error); updateGlobalStatus(`初始化失败: ${error.message}`, 'error'); @@ -571,91 +593,103 @@ } // ========================================================== - // 模型导入 + // 模型导入 - 改造为支持文件和 URL 两种方式 // ========================================================== - async function handleModelImport(event) { - const file = event.target.files[0]; - if (!file) return; - - updateGlobalStatus('正在导入模型...', 'loading'); + /** + * 加载 KNN 模型数据，支持从文件或 CDN URL 加载。 + * @param {File} [file] - 可选，用户选择的 KNN 模型 JSON 文件。 + * @param {string} [cdnUrl] - 可选，KNN 模型 JSON 文件的 CDN URL。 + * @returns {Promise} + */ + async function loadKNNModelData(file = null, cdnUrl = null) { + updateGlobalStatus('正在加载模型...', 'loading'); lockControls(true); try { - await loadModelFromFile(file); - updateGlobalStatus('手势模型导入成功！', 'success'); + let loadedModelData; + + if (file) { + const reader = new FileReader(); + const fileReadPromise = new Promise((resolve, reject) => { + reader.onload = e => resolve(JSON.parse(e.target.result)); + reader.onerror = error => reject(new Error('文件读取失败。')); + reader.readAsText(file); + }); + loadedModelData = await fileReadPromise; + } else if (cdnUrl) { + const response = await fetch(cdnUrl); + if (!response.ok) { + throw new Error(`无法从 ${cdnUrl} 加载模型数据: ${response.statusText}`); + } + loadedModelData = await response.json(); + } else { + throw new Error('未提供模型文件或 CDN URL。'); + } + + // 确保模型包含 classMap 和 dataset + if (!loadedModelData || !loadedModelData.dataset || !loadedModelData.classMap) { + throw new Error('模型数据结构不正确 (缺少 classMap 或 dataset)。'); + } + + classifier.clearAllClasses(); + + const dataset = {}; + let totalExamples = 0; + + for (const classId in loadedModelData.dataset) { + const classData = loadedModelData.dataset[classId]; + if (classData && classData.length > 0) { + // 验证数据格式 + if (classData.some(sample => !Array.isArray(sample) || sample.some(val => typeof val !== 'number'))) { + throw new Error(`类别 ${classId} 包含无效的样本数据 (不是数字数组)。`); + } + const tensors = classData.map(data => tf.tensor1d(data)); + const stacked = tf.stack(tensors); + dataset[classId] = stacked; + totalExamples += classData.length; + tensors.forEach(t => t.dispose()); + } else { + console.warn(`类别 ${classId} 没有样本数据。`); + } + } + + classifier.setClassifierDataset(dataset); + + // 可以在这里根据 loadedModelData.classMap 动态更新 gestureClassToAudioMap 中的 name 字段 + // 以便 UI 上的音符名称直接从训练模型中获取。 + // 例如: + // loadedModelData.classMap.forEach(item => { + // if (gestureClassToAudioMap[item.classId]) { + // gestureClassToAudioMap[item.classId].name = item.className; + // } + // }); + + updateGestureMappingUI(); // 再次调用以确保UI更新 + + console.log(`模型加载成功！共加载 ${totalExamples} 个样本。`); + console.log('导入类别映射:', loadedModelData.classMap); + isModelLoaded = true; lockControls(false); - importModelBtn.disabled = true; + importModelBtn.disabled = true; // 成功加载后应禁用手动导入，除非你想支持重新导入 startStopBtn.disabled = false; + updateGlobalStatus('手势模型加载成功！', 'success'); + } catch (error) { - console.error('模型导入失败:', error); - updateGlobalStatus(`模型导入失败: ${error.message}`, 'error'); - alert(`模型导入失败: ${error.message}\n请确保文件是正确的模型JSON文件。`); + console.error('模型加载失败:', error); + updateGlobalStatus(`模型加载失败: ${error.message}`, 'error'); + alert(`模型加载失败: ${error.message}\n请确保文件是正确的模型JSON文件或 CDN URL 可访问。`); isModelLoaded = false; lockControls(false); + importModelBtn.disabled = false; // 失败后允许手动导入 startStopBtn.disabled = true; - importModelBtn.disabled = false; + throw error; // 重新抛出错误，以便调用者（如initApp）能捕获 } finally { - fileImporter.value = ''; + fileImporter.value = ''; // 清除文件选择器的值，以便可以再次选择相同文件 } } - async function loadModelFromFile(file) { - return new Promise((resolve, reject) => { - const reader = new FileReader(); - reader.onload = async (e) => { - try { - const loadedModelData = JSON.parse(e.target.result); - - // 确保模型包含 classMap 和 dataset - if (!loadedModelData || !loadedModelData.dataset || !loadedModelData.classMap) { - throw new Error('模型数据结构不正确 (缺少 classMap 或 dataset)。'); - } - - classifier.clearAllClasses(); - - const dataset = {}; - let totalExamples = 0; - - for (const classId in loadedModelData.dataset) { - const classData = loadedModelData.dataset[classId]; - if (classData && classData.length > 0) { - if (classData.some(sample => !Array.isArray(sample) || sample.some(val => typeof val !== 'number'))) { - throw new Error(`类别 ${classId} 包含无效的样本数据 (不是数字数组)。`); - } - const tensors = classData.map(data => tf.tensor1d(data)); - const stacked = tf.stack(tensors); - dataset[classId] = stacked; - totalExamples += classData.length; - tensors.forEach(t => t.dispose()); - } else { - console.warn(`类别 ${classId} 没有样本数据。`); - } - } - - classifier.setClassifierDataset(dataset); - // 您可以在这里遍历 loadedModelData.classMap 来更新 `gestureClassToAudioMap` 中的 `name` 字段 - // 以便 UI 上的音符名称直接从训练模型中获取。 - // 当前代码是直接使用 `gestureClassToAudioMap` 中预设的音符名称。 - - updateGestureMappingUI(); // 再次调用以确保UI更新 - - console.log(`模型加载成功！共加载 ${totalExamples} 个样本。`); - console.log('导入类别映射:', loadedModelData.classMap); - resolve(); - - } catch (error) { - reject(error); - } - }; - reader.onerror = (error) => { - reject(new Error('文件读取失败。')); - }; - reader.readAsText(file); - }); - } - // ========================================================== // 音频播放逻辑 // ========================================================== @@ -705,18 +739,24 @@ function updateGlobalStatus(message, type = 'info') { globalStatusDisplay.textContent = message; + // 重置颜色以便不同类型的状态信息有不同的视觉反馈 + globalStatusDisplay.style.color = '#bdc3c7'; // 默认颜色 + if (type === 'error') { globalStatusDisplay.style.color = '#e74c3c'; /* 红色 */ } else if (type === 'success') { globalStatusDisplay.style.color = '#2ecc71'; /* 绿色 */ - } else { - globalStatusDisplay.style.color = '#bdc3c7'; /* 默认灰色 */ + } else if (type === 'warning') { + globalStatusDisplay.style.color = '#f1c40f'; /* 黄色 */ } + // loading 状态可以考虑添加一个动画或特定的颜色 } function lockControls(lock) { - importModelBtn.disabled = lock; - startStopBtn.disabled = lock; + // 在某些状态下，即使不处于锁定状态，按钮也可能被特定逻辑禁用 + // 所以这里只处理整体的禁用/启用 + importModelBtn.disabled = lock || isModelLoaded; // 如果模型已加载，手动导入按钮通常也应禁用 + startStopBtn.disabled = lock || !isModelLoaded; // 必须加载模型才能开始 } function togglePlaying() { @@ -728,22 +768,23 @@ alert('已导入的模型中没有训练数据，请导入一个有效的模型文件。'); return; } - if (classifier.getNumClasses() < Object.keys(gestureClassToAudioMap).length) { - alert(`警告：导入的模型只包含 ${classifier.getNumClasses()} 个类别，但需要 ${Object.keys(gestureClassToAudioMap).length} 个音符手势。请确保导入完整的模型！`); - // 允许继续，但用户会发现部分音符无法弹奏 + // 这里的警告信息如果是在自动加载时已经给出，可以考虑不重复。 + // 考虑到用户可能会忽略，此处保留。 + if (classifier.getNumClasses() < Object.keys(gestureClassToAudioMap).length && classifier.getNumClasses() > 0) { + alert(`警告：导入的模型只包含 ${classifier.getNumClasses()} 个类别，但需要 ${Object.keys(gestureClassToAudioMap).length} 个音符手势。请确保导入完整的模型！若要继续，点击确定。`); } isPlaying = !isPlaying; if (isPlaying) { startStopBtn.textContent = '停止演奏'; startStopBtn.classList.add('playing'); - importModelBtn.disabled = true; + importModelBtn.disabled = true; // 演奏时不能切换模型 updateGlobalStatus('开始演奏，请摆出您的钢琴手势！', 'info'); // 文本修改 currentPlayingActionDisplay.textContent = '无'; } else { startStopBtn.textContent = '开始演奏'; startStopBtn.classList.remove('playing'); - importModelBtn.disabled = false; + importModelBtn.disabled = false; // 停止演奏后允许重新导入 updateGlobalStatus('已停止演奏，等待您开始。', 'ready'); currentPlayingActionDisplay.textContent = '无'; currentPlayingActionId = null; // 停止演奏时重置当前播放音符ID @@ -767,9 +808,19 @@ const noteName = orderedNoteNames[i]; const listItem = document.createElement('li'); - listItem.innerHTML = `ID ${classId}: ${noteName} → 音段 ${i + 1}`; + // 从 gestureClassToAudioMap 获取的 name 可以更准确地显示 + const mappedNoteName = gestureClassToAudioMap[classId] ? gestureClassToAudioMap[classId].name : noteName; + listItem.innerHTML = `ID ${classId}: ${mappedNoteName} → 音段 ${i + 1}`; gestureMappingList.appendChild(listItem); } + // 如果 classifier 中有额外或不同的类别，也可以在这里显示 + // for (const classId of classifier.getClassNames()) { + // if (!gestureClassToAudioMap[classId]) { + // const listItem = document.createElement('li'); + // listItem.innerHTML = `ID ${classId}: 未知/自定义手势`; + // gestureMappingList.appendChild(listItem); + // } + // } } // --- 应用启动和清理 ---