mirror of
https://github.com/ocogeclub/ocoge.git
synced 2024-11-21 23:29:48 +00:00
[update] Web Demo でもセンサーブロックが表示されるようにした
This commit is contained in:
parent
49f3712704
commit
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86
apptool.js
86
apptool.js
@ -9,9 +9,9 @@ const ugj_const = {
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mascot_defname: 'tamachee.png',
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mascot_defname: 'tamachee.png',
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library_dirname: 'lib',
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library_dirname: 'lib',
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document_root: 'Documents',
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document_root: 'Documents',
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tmp_dir: '.ocogeclub/tmp',
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tmp_dir: '.ocogeclub/tmp', //ホームディレクトリからのパス
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executable_path: '.ocogeclub/apps/',
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executable_path: '.ocogeclub/apps/', //ホームディレクトリからのパス
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blocks_sensors_dir: 'blocks/sensors/',
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blocks_dir: './blocks', // 動作するコードを web demo で生成するためには「./」をつける
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localStorage_fname: 'ocoge.json',
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localStorage_fname: 'ocoge.json',
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error_ja_all: 'エラーが発生しました。\n『おこげ倶楽部』までお問い合わせください。',
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error_ja_all: 'エラーが発生しました。\n『おこげ倶楽部』までお問い合わせください。',
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pig: 'pigpio',
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pig: 'pigpio',
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@ -38,7 +38,7 @@ class appTool {
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this.doc_root = this.path.join(process.env["HOME"], ugj_const.document_root);
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this.doc_root = this.path.join(process.env["HOME"], ugj_const.document_root);
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this.doc_current = this.path.join(process.env["HOME"], ugj_const.document_root);
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this.doc_current = this.path.join(process.env["HOME"], ugj_const.document_root);
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this.executable_path = this.path.join(process.env["HOME"], ugj_const.executable_path);
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this.executable_path = this.path.join(process.env["HOME"], ugj_const.executable_path);
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// this.blocks_sensors_dir = this.path.join(process.env["HOME"], ugj_const.blocks_sensors_dir);
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// this.blocks_dir = this.path.join(process.env["HOME"], ugj_const.blocks_dir);
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this.tmp_dir = this.path.join(process.env["HOME"], ugj_const.tmp_dir);
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this.tmp_dir = this.path.join(process.env["HOME"], ugj_const.tmp_dir);
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const EventEmitter = require('events');
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const EventEmitter = require('events');
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this.ugjEmitter = new EventEmitter();
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this.ugjEmitter = new EventEmitter();
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@ -51,44 +51,44 @@ class appTool {
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this.app_path = await this.ipcRenderer.invoke('get_app_path');
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this.app_path = await this.ipcRenderer.invoke('get_app_path');
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this.mascotFilePath = this.path.join(this.app_path, ugj_const.mascot_dirname, ugj_const.mascot_defname);
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this.mascotFilePath = this.path.join(this.app_path, ugj_const.mascot_dirname, ugj_const.mascot_defname);
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this.library_path = this.path.join(this.app_path, ugj_const.library_dirname);
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this.library_path = this.path.join(this.app_path, ugj_const.library_dirname);
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this.blocks_sensors_dir = this.path.join(this.app_path, ugj_const.blocks_sensors_dir);
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this.blocks_dir = this.path.join(this.app_path, ugj_const.blocks_dir);
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this.loadSensorblocks();
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// this.loadSensorblocks();
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}
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}
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// センサーブロックのロード
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// センサーブロックのロード
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loadSensorblocks() {
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// loadSensorblocks() {
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// ディレクトリの有無
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// // ディレクトリの有無
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if (!this.fs.existsSync(this.blocks_sensors_dir)) return;
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// if (!this.fs.existsSync(this.blocks_dir)) return;
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// ブロックデータ格納ディレクトリのリスト
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// // ブロックデータ格納ディレクトリのリスト
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const allDirents = this.fs.readdirSync(this.blocks_sensors_dir, { withFileTypes: true });
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// const allDirents = this.fs.readdirSync(this.blocks_dir, { withFileTypes: true });
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const blocks_list = allDirents.filter(dirent => dirent.isDirectory()).map(({ name }) => name);
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// const blocks_list = allDirents.filter(dirent => dirent.isDirectory()).map(({ name }) => name);
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// センサーカテゴリのインスタンス
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// // センサーカテゴリのインスタンス
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let category_sensors = workspace.getToolbox().getToolboxItemById('category_sensors');
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// let category_sensors = workspace.getToolbox().getToolboxItemById('category_sensors');
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let flyout_contents = []; // フライアウトのjsonのリスト
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// let flyout_contents = []; // フライアウトのjsonのリスト
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for (let sensor_dir of blocks_list) { //ディレクトリ巡り
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// for (let sensor_dir of blocks_list) { //ディレクトリ巡り
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if (sensor_dir.charAt(0) == '.') continue; //隠しディレクトリをスキップ
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// if (sensor_dir.charAt(0) == '.') continue; //隠しディレクトリをスキップ
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// フライアウトのjsonを取得してパース、リストに追加
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// // フライアウトのjsonを取得してパース、リストに追加
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let fname = this.path.join(this.blocks_sensors_dir, sensor_dir, 'index.json');
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// let fname = this.path.join(this.blocks_dir, sensor_dir, 'index.json');
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let json_text = this.fs.readFileSync(fname);
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// let json_text = this.fs.readFileSync(fname);
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let obj = JSON.parse(json_text);
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// let obj = JSON.parse(json_text);
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flyout_contents = flyout_contents.concat(obj);
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// flyout_contents = flyout_contents.concat(obj);
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// ブロック定義のスクリプト要素をbody要素の最後に追加
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// // ブロック定義のスクリプト要素をbody要素の最後に追加
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fname = this.path.join(this.blocks_sensors_dir, sensor_dir, 'index.js');
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// fname = this.path.join(this.blocks_dir, sensor_dir, 'index.js');
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let script = document.createElement('script');
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// let script = document.createElement('script');
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script.type = 'text/javascript';
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// script.type = 'text/javascript';
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script.src = fname;
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// script.src = fname;
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document.body.appendChild(script);
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// document.body.appendChild(script);
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}
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// }
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let lastline = [{
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// let lastline = [{
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"kind": "label",
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// "kind": "label",
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"text": " ",
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// "text": " ",
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"web-line": "4.0",
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// "web-line": "4.0",
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"web-line-width": "200"
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// "web-line-width": "200"
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}];
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// }];
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flyout_contents = flyout_contents.concat(lastline);
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// flyout_contents = flyout_contents.concat(lastline);
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// センサーカテゴリのフライアウトをアップデート
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// // センサーカテゴリのフライアウトをアップデート
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category_sensors.updateFlyoutContents(flyout_contents);
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// category_sensors.updateFlyoutContents(flyout_contents);
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}
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// }
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// 0で数値の桁合わせ : NUM=値 LEN=桁数
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// 0で数値の桁合わせ : NUM=値 LEN=桁数
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@ -332,6 +332,7 @@ class webTool {
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// GPIOブロックは使えません
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// GPIOブロックは使えません
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this.gpio_backend = ugj_const.pig;
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this.gpio_backend = ugj_const.pig;
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this.lang = 'js';
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this.lang = 'js';
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this.blocks_dir = ugj_const.blocks_dir;
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}
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}
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// マスコット
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// マスコット
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@ -378,7 +379,12 @@ class webTool {
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cleanupGPIO() { ; }
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cleanupGPIO() { ; }
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path = {
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path = {
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join: function (a = '', b = '', c = '', d = '', e = '') {
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join: function (a = '', b = '', c = '', d = '', e = '') {
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return a + b + c + d + e;
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const removeTrailingSlash = path => path.endsWith('/') ? path.substr(0, path.length - 1) : path;
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return removeTrailingSlash(a) +
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(b ? '/' + removeTrailingSlash(b) : '') +
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(c ? '/' + removeTrailingSlash(c) : '') +
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(d ? '/' + removeTrailingSlash(d) : '') +
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(e ? '/' + removeTrailingSlash(e) : '')
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}
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}
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}
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}
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}
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}
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20
blocks/index.js
Normal file
20
blocks/index.js
Normal file
@ -0,0 +1,20 @@
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var flyout_contents = [];
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const registerCategory = (category_dir, subcategories) => {
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for (let sbctgr of subcategories) {
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let fname = ugj_const.blocks_dir + '/' + category_dir + "/" + sbctgr + "/index.js";
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let script = document.createElement('script');
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script.type = 'text/javascript';
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script.src = fname;
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script.async = false;
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document.body.appendChild(script);
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}
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}
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// センサーカテゴリ
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registerCategory('sensors', [ // カテゴリディレクトリ名
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"amg8833",
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"paj7620",
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"bme280",
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"dht11",
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"z-line" // フライアウト下端の不可視ライン。スクリプトにカテゴリ名を含むので注意
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]);
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@ -25,7 +25,7 @@ Blockly.Msg["UGJ_TENSORSET_PARSE_TOOLTIP"] = "JSONテキストをパースして
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/******************* */
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/******************* */
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/** Init Grid-Eye ** */
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/** Init Grid-Eye ** */
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/******************* */
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/******************* */
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var ugjGridEyeInitDefinition = {
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Blockly.defineBlocksWithJsonArray([{
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"type": "ugj_grideye_init",
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"type": "ugj_grideye_init",
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"message0": "%{BKY_UGJ_GRIDEYE_INIT_TITLE}",
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"message0": "%{BKY_UGJ_GRIDEYE_INIT_TITLE}",
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"args0": [
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"args0": [
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@ -50,18 +50,13 @@ var ugjGridEyeInitDefinition = {
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"tooltip": "%{BKY_UGJ_GRIDEYE_INIT_TOOLTIP}",
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"tooltip": "%{BKY_UGJ_GRIDEYE_INIT_TOOLTIP}",
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"helpUrl": "",
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"helpUrl": "",
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"style": "sensor_blocks"
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"style": "sensor_blocks"
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};
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}]);
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Blockly.Blocks['ugj_grideye_init'] = {
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init: function () {
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this.jsonInit(ugjGridEyeInitDefinition);
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}
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};
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Blockly.JavaScript['ugj_grideye_init'] = function (block) {
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Blockly.JavaScript['ugj_grideye_init'] = function (block) {
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var dropdown_addr = block.getFieldValue('addr');
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var dropdown_addr = block.getFieldValue('addr');
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Blockly.JavaScript.provideFunction_(
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Blockly.JavaScript.provideFunction_(
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'require_gpio', [`const _pi = require('@ocoge.club/` + apptool.gpio_backend + `');`]
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'require_gpio', [`const _pi = require('@ocoge.club/` + apptool.gpio_backend + `');`]
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);
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);
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let modpath = apptool.path.join(apptool.blocks_sensors_dir, 'amg8833', 'AMG8833x.js');
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let modpath = apptool.path.join(apptool.blocks_dir, 'sensors', 'amg8833', 'AMG8833x.js');
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Blockly.JavaScript.provideFunction_(
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Blockly.JavaScript.provideFunction_(
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'require_amg8833', [`const _amg8833 = require('${modpath}');`]
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'require_amg8833', [`const _amg8833 = require('${modpath}');`]
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);
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);
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@ -71,19 +66,14 @@ Blockly.JavaScript['ugj_grideye_init'] = function (block) {
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/********************** */
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/********************** */
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/** Grid-Eye 本体温度 ** */
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/** Grid-Eye 本体温度 ** */
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/********************** */
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/********************** */
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var ugjGridEyeThermistorDefinition = {
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Blockly.defineBlocksWithJsonArray([{
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"type": "ugj_grideye_thermistor",
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"type": "ugj_grideye_thermistor",
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"message0": "%{BKY_UGJ_GRIDEYE_THERMISTOR_TITLE}",
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"message0": "%{BKY_UGJ_GRIDEYE_THERMISTOR_TITLE}",
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"output": "Number",
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"output": "Number",
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"tooltip": "%{BKY_UGJ_GRIDEYE_THERMISTOR_TOOLTIP}",
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"tooltip": "%{BKY_UGJ_GRIDEYE_THERMISTOR_TOOLTIP}",
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"helpUrl": "",
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"helpUrl": "",
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"style": "sensor_blocks"
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"style": "sensor_blocks"
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};
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}]);
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Blockly.Blocks['ugj_grideye_thermistor'] = {
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init: function () {
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this.jsonInit(ugjGridEyeThermistorDefinition);
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}
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};
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Blockly.JavaScript['ugj_grideye_thermistor'] = function (block) {
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Blockly.JavaScript['ugj_grideye_thermistor'] = function (block) {
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var code = `await _amg8833.read_thermistor()`;
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var code = `await _amg8833.read_thermistor()`;
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return [code, Blockly.JavaScript.ORDER_NONE];
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return [code, Blockly.JavaScript.ORDER_NONE];
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@ -92,7 +82,7 @@ Blockly.JavaScript['ugj_grideye_thermistor'] = function (block) {
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/**************************** */
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/**************************** */
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/** Read Temperature Array ** */
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/** Read Temperature Array ** */
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/**************************** */
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/**************************** */
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var ugjGridEyeReadDefinition = {
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Blockly.defineBlocksWithJsonArray([{
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"type": "ugj_grideye_read",
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"type": "ugj_grideye_read",
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"message0": "%{BKY_UGJ_GRIDEYE_READ_TITLE}",
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"message0": "%{BKY_UGJ_GRIDEYE_READ_TITLE}",
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"inputsInline": true,
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"inputsInline": true,
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@ -100,12 +90,7 @@ var ugjGridEyeReadDefinition = {
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"tooltip": "%{BKY_UGJ_GRIDEYE_READ_TOOLTIP}",
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"tooltip": "%{BKY_UGJ_GRIDEYE_READ_TOOLTIP}",
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"helpUrl": "",
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"helpUrl": "",
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"style": "sensor_blocks"
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"style": "sensor_blocks"
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};
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}]);
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Blockly.Blocks['ugj_grideye_read'] = {
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init: function () {
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this.jsonInit(ugjGridEyeReadDefinition);
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}
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};
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Blockly.JavaScript['ugj_grideye_read'] = function (block) {
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Blockly.JavaScript['ugj_grideye_read'] = function (block) {
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var code = 'await _amg8833.read_temp_array()';
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var code = 'await _amg8833.read_temp_array()';
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return [code, Blockly.JavaScript.ORDER_ATOMIC];
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return [code, Blockly.JavaScript.ORDER_ATOMIC];
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@ -113,7 +98,7 @@ Blockly.JavaScript['ugj_grideye_read'] = function (block) {
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/******************* */
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/******************* */
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/** Stop Grid-Eye ** */
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/** Stop Grid-Eye ** */
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/******************* */
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/******************* */
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var ugjGridEyeStopDefinition = {
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Blockly.defineBlocksWithJsonArray([{
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"type": "ugj_grideye_stop",
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"type": "ugj_grideye_stop",
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"message0": "%{BKY_UGJ_GRIDEYE_STOP_TITLE}",
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"message0": "%{BKY_UGJ_GRIDEYE_STOP_TITLE}",
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"inputsInline": true,
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"inputsInline": true,
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@ -122,12 +107,7 @@ var ugjGridEyeStopDefinition = {
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"tooltip": "%{BKY_UGJ_GRIDEYE_STOP_TOOLTIP}",
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"tooltip": "%{BKY_UGJ_GRIDEYE_STOP_TOOLTIP}",
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"helpUrl": "",
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"helpUrl": "",
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"style": "sensor_blocks"
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"style": "sensor_blocks"
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};
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}]);
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Blockly.Blocks['ugj_grideye_stop'] = {
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init: function () {
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this.jsonInit(ugjGridEyeStopDefinition);
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}
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};
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Blockly.JavaScript['ugj_grideye_stop'] = function (block) {
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Blockly.JavaScript['ugj_grideye_stop'] = function (block) {
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var code = 'await _amg8833.stop();\n';
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var code = 'await _amg8833.stop();\n';
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return code;
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return code;
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@ -137,7 +117,7 @@ Blockly.JavaScript['ugj_grideye_stop'] = function (block) {
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/***************************** */
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/***************************** */
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/** GridEye 表示キャンバス作成 ** */
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/** GridEye 表示キャンバス作成 ** */
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/***************************** */
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/***************************** */
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var ugjGridEyeCanvasCreateDefinition = {
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Blockly.defineBlocksWithJsonArray([{
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"type": "ugj_grideye_canvas_create",
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"type": "ugj_grideye_canvas_create",
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"message0": "%{BKY_UGJ_GRIDEYE_CANVAS_CREATE_TITLE}",
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"message0": "%{BKY_UGJ_GRIDEYE_CANVAS_CREATE_TITLE}",
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"inputsInline": true,
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"inputsInline": true,
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@ -146,12 +126,7 @@ var ugjGridEyeCanvasCreateDefinition = {
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"tooltip": "%{BKY_UGJ_GRIDEYE_CANVAS_CREATE_TOOLTIP}",
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"tooltip": "%{BKY_UGJ_GRIDEYE_CANVAS_CREATE_TOOLTIP}",
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"helpUrl": "",
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"helpUrl": "",
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"style": "multimedia_blocks"
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"style": "multimedia_blocks"
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};
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}]);
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Blockly.Blocks['ugj_grideye_canvas_create'] = {
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init: function () {
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this.jsonInit(ugjGridEyeCanvasCreateDefinition);
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}
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};
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Blockly.JavaScript['ugj_grideye_canvas_create'] = function (block) {
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Blockly.JavaScript['ugj_grideye_canvas_create'] = function (block) {
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var code = `let _grideye_canvas = document.createElement('canvas');
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var code = `let _grideye_canvas = document.createElement('canvas');
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_grideye_canvas.setAttribute('width', 8);
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_grideye_canvas.setAttribute('width', 8);
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@ -169,7 +144,8 @@ Blockly.JavaScript['ugj_grideye_canvas_create'] = function (block) {
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/********************************************** */
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/********************************************** */
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/** Draw IR Array Data to Image Data ** */
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/** Draw IR Array Data to Image Data ** */
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/********************************************** */
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/********************************************** */
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var ugjDrawGrideyedataDefinition = {
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Blockly.defineBlocksWithJsonArray([{
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"type": "ugj_draw_grideyedata",
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"type": "ugj_draw_grideyedata",
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"message0": "%{BKY_UGJ_DRAW_GRIDEYEDATA_TITLE}",
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"message0": "%{BKY_UGJ_DRAW_GRIDEYEDATA_TITLE}",
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"args0": [
|
"args0": [
|
||||||
@ -211,12 +187,7 @@ var ugjDrawGrideyedataDefinition = {
|
|||||||
"tooltip": "%{BKY_UGJ_DRAW_GRIDEYEDATA_TOOLTIP}",
|
"tooltip": "%{BKY_UGJ_DRAW_GRIDEYEDATA_TOOLTIP}",
|
||||||
"helpUrl": "",
|
"helpUrl": "",
|
||||||
"style": "multimedia_blocks"
|
"style": "multimedia_blocks"
|
||||||
};
|
}]);
|
||||||
Blockly.Blocks['ugj_draw_grideyedata'] = {
|
|
||||||
init: function () {
|
|
||||||
this.jsonInit(ugjDrawGrideyedataDefinition);
|
|
||||||
}
|
|
||||||
};
|
|
||||||
Blockly.JavaScript['ugj_draw_grideyedata'] = function (block) {
|
Blockly.JavaScript['ugj_draw_grideyedata'] = function (block) {
|
||||||
var value_amg8833data = Blockly.JavaScript.valueToCode(block, 'amg8833data', Blockly.JavaScript.ORDER_ATOMIC);
|
var value_amg8833data = Blockly.JavaScript.valueToCode(block, 'amg8833data', Blockly.JavaScript.ORDER_ATOMIC);
|
||||||
var colour_color_high = block.getFieldValue('color_high');
|
var colour_color_high = block.getFieldValue('color_high');
|
||||||
@ -258,7 +229,7 @@ Blockly.JavaScript['ugj_draw_grideyedata'] = function (block) {
|
|||||||
/**************************** */
|
/**************************** */
|
||||||
/** Teachable Machine を開始** */
|
/** Teachable Machine を開始** */
|
||||||
/**************************** */
|
/**************************** */
|
||||||
var ugjTeachableMachineDefinition = {
|
Blockly.defineBlocksWithJsonArray([{
|
||||||
"type": "ugj_teachable_machine",
|
"type": "ugj_teachable_machine",
|
||||||
"message0": "%{BKY_UGJ_TEACHABLE_MACHINE_TITLE}",
|
"message0": "%{BKY_UGJ_TEACHABLE_MACHINE_TITLE}",
|
||||||
"inputsInline": true,
|
"inputsInline": true,
|
||||||
@ -267,12 +238,7 @@ var ugjTeachableMachineDefinition = {
|
|||||||
"tooltip": "%{BKY_UGJ_TEACHABLE_MACHINE_TOOLTIP}",
|
"tooltip": "%{BKY_UGJ_TEACHABLE_MACHINE_TOOLTIP}",
|
||||||
"helpUrl": "",
|
"helpUrl": "",
|
||||||
"style": "multimedia_blocks"
|
"style": "multimedia_blocks"
|
||||||
};
|
}]);
|
||||||
Blockly.Blocks['ugj_teachable_machine'] = {
|
|
||||||
init: function () {
|
|
||||||
this.jsonInit(ugjTeachableMachineDefinition);
|
|
||||||
}
|
|
||||||
};
|
|
||||||
Blockly.JavaScript['ugj_teachable_machine'] = function (block) {
|
Blockly.JavaScript['ugj_teachable_machine'] = function (block) {
|
||||||
Blockly.JavaScript.provideFunction_(
|
Blockly.JavaScript.provideFunction_(
|
||||||
'require_ts', [`const _tf = require('@tensorflow/tfjs-node');`]
|
'require_ts', [`const _tf = require('@tensorflow/tfjs-node');`]
|
||||||
@ -292,7 +258,7 @@ Blockly.JavaScript['ugj_teachable_machine'] = function (block) {
|
|||||||
/************************* */
|
/************************* */
|
||||||
/** GridEye で推論を行う ** */
|
/** GridEye で推論を行う ** */
|
||||||
/************************* */
|
/************************* */
|
||||||
var ugjGridEyePredictClassDefinition = {
|
Blockly.defineBlocksWithJsonArray([{
|
||||||
"type": "ugj_grideye_predict_class",
|
"type": "ugj_grideye_predict_class",
|
||||||
"message0": "%{BKY_UGJ_GRIDEYE_PREDICT_CLASS_TITLE}",
|
"message0": "%{BKY_UGJ_GRIDEYE_PREDICT_CLASS_TITLE}",
|
||||||
"inputsInline": true,
|
"inputsInline": true,
|
||||||
@ -300,12 +266,7 @@ var ugjGridEyePredictClassDefinition = {
|
|||||||
"tooltip": "%{BKY_UGJ_GRIDEYE_PREDICT_CLASS_TOOLTIP}",
|
"tooltip": "%{BKY_UGJ_GRIDEYE_PREDICT_CLASS_TOOLTIP}",
|
||||||
"helpUrl": "",
|
"helpUrl": "",
|
||||||
"style": "multimedia_blocks"
|
"style": "multimedia_blocks"
|
||||||
};
|
}]);
|
||||||
Blockly.Blocks['ugj_grideye_predict_class'] = {
|
|
||||||
init: function () {
|
|
||||||
this.jsonInit(ugjGridEyePredictClassDefinition);
|
|
||||||
}
|
|
||||||
};
|
|
||||||
Blockly.JavaScript['ugj_grideye_predict_class'] = function (block) {
|
Blockly.JavaScript['ugj_grideye_predict_class'] = function (block) {
|
||||||
var functionName = Blockly.JavaScript.provideFunction_( // left output にするための関数化
|
var functionName = Blockly.JavaScript.provideFunction_( // left output にするための関数化
|
||||||
'_predictClass',
|
'_predictClass',
|
||||||
@ -327,7 +288,7 @@ Blockly.JavaScript['ugj_grideye_predict_class'] = function (block) {
|
|||||||
/******************************************** */
|
/******************************************** */
|
||||||
/** ラベルをつけて Example をデータセットに追加 ** */
|
/** ラベルをつけて Example をデータセットに追加 ** */
|
||||||
/******************************************** */
|
/******************************************** */
|
||||||
var ugjGridEyeAddExampleDefinition = {
|
Blockly.defineBlocksWithJsonArray([{
|
||||||
"type": "ugj_grideye_add_example",
|
"type": "ugj_grideye_add_example",
|
||||||
"message0": "%{BKY_UGJ_GRIDEYE_ADD_EXAMPLE_TITLE}",
|
"message0": "%{BKY_UGJ_GRIDEYE_ADD_EXAMPLE_TITLE}",
|
||||||
"args0": [
|
"args0": [
|
||||||
@ -343,12 +304,7 @@ var ugjGridEyeAddExampleDefinition = {
|
|||||||
"tooltip": "%{BKY_UGJ_GRIDEYE_ADD_EXAMPLE_TOOLTIP}",
|
"tooltip": "%{BKY_UGJ_GRIDEYE_ADD_EXAMPLE_TOOLTIP}",
|
||||||
"helpUrl": "",
|
"helpUrl": "",
|
||||||
"style": "multimedia_blocks"
|
"style": "multimedia_blocks"
|
||||||
};
|
}]);
|
||||||
Blockly.Blocks['ugj_grideye_add_example'] = {
|
|
||||||
init: function () {
|
|
||||||
this.jsonInit(ugjGridEyeAddExampleDefinition);
|
|
||||||
}
|
|
||||||
};
|
|
||||||
Blockly.JavaScript['ugj_grideye_add_example'] = function (block) {
|
Blockly.JavaScript['ugj_grideye_add_example'] = function (block) {
|
||||||
var value_class_id = Blockly.JavaScript.valueToCode(block, 'class_id', Blockly.JavaScript.ORDER_ATOMIC);
|
var value_class_id = Blockly.JavaScript.valueToCode(block, 'class_id', Blockly.JavaScript.ORDER_ATOMIC);
|
||||||
var code = `_classifier.addExample (_net.infer(_grideye_canvas, true), ${value_class_id});`;
|
var code = `_classifier.addExample (_net.infer(_grideye_canvas, true), ${value_class_id});`;
|
||||||
@ -357,19 +313,14 @@ Blockly.JavaScript['ugj_grideye_add_example'] = function (block) {
|
|||||||
/*************************** */
|
/*************************** */
|
||||||
/** 学習したクラスを文字列化 ** */
|
/** 学習したクラスを文字列化 ** */
|
||||||
/*************************** */
|
/*************************** */
|
||||||
var ugjTensorsetStringifyDefinition = {
|
Blockly.defineBlocksWithJsonArray([{
|
||||||
"type": "ugj_tensorset_stringify",
|
"type": "ugj_tensorset_stringify",
|
||||||
"message0": "%{BKY_UGJ_TENSORSET_STRINGIFY_TITLE}",
|
"message0": "%{BKY_UGJ_TENSORSET_STRINGIFY_TITLE}",
|
||||||
"output": null,
|
"output": null,
|
||||||
"tooltip": "%{BKY_UGJ_TENSORSET_STRINGIFY_TOOLTIP}",
|
"tooltip": "%{BKY_UGJ_TENSORSET_STRINGIFY_TOOLTIP}",
|
||||||
"helpUrl": "",
|
"helpUrl": "",
|
||||||
"style": "multimedia_blocks"
|
"style": "multimedia_blocks"
|
||||||
};
|
}]);
|
||||||
Blockly.Blocks['ugj_tensorset_stringify'] = {
|
|
||||||
init: function () {
|
|
||||||
this.jsonInit(ugjTensorsetStringifyDefinition);
|
|
||||||
}
|
|
||||||
};
|
|
||||||
Blockly.JavaScript['ugj_tensorset_stringify'] = function (block) {
|
Blockly.JavaScript['ugj_tensorset_stringify'] = function (block) {
|
||||||
var code = `JSON.stringify( Object.entries(_classifier.getClassifierDataset()).map(([label, data])=>[label, Array.from(data.dataSync()), data.shape]) )`;
|
var code = `JSON.stringify( Object.entries(_classifier.getClassifierDataset()).map(([label, data])=>[label, Array.from(data.dataSync()), data.shape]) )`;
|
||||||
return [code, Blockly.JavaScript.ORDER_NONE];
|
return [code, Blockly.JavaScript.ORDER_NONE];
|
||||||
@ -377,7 +328,7 @@ Blockly.JavaScript['ugj_tensorset_stringify'] = function (block) {
|
|||||||
/***************************************** */
|
/***************************************** */
|
||||||
/** jsonをデータセットに戻して分類器にセット ** */
|
/** jsonをデータセットに戻して分類器にセット ** */
|
||||||
/***************************************** */
|
/***************************************** */
|
||||||
var ugjTensorsetParseDefinition = {
|
Blockly.defineBlocksWithJsonArray([{
|
||||||
"type": "ugj_tensorset_parse",
|
"type": "ugj_tensorset_parse",
|
||||||
"message0": "%{BKY_UGJ_TENSORSET_PARSE_TITLE}",
|
"message0": "%{BKY_UGJ_TENSORSET_PARSE_TITLE}",
|
||||||
"args0": [
|
"args0": [
|
||||||
@ -392,17 +343,124 @@ var ugjTensorsetParseDefinition = {
|
|||||||
"tooltip": "%{BKY_UGJ_TENSORSET_PARSE_TOOLTIP}",
|
"tooltip": "%{BKY_UGJ_TENSORSET_PARSE_TOOLTIP}",
|
||||||
"helpUrl": "",
|
"helpUrl": "",
|
||||||
"style": "multimedia_blocks"
|
"style": "multimedia_blocks"
|
||||||
};
|
}]);
|
||||||
Blockly.Blocks['ugj_tensorset_parse'] = {
|
|
||||||
init: function () {
|
|
||||||
this.jsonInit(ugjTensorsetParseDefinition);
|
|
||||||
}
|
|
||||||
};
|
|
||||||
Blockly.JavaScript['ugj_tensorset_parse'] = function (block) {
|
Blockly.JavaScript['ugj_tensorset_parse'] = function (block) {
|
||||||
var value_class_data_json = Blockly.JavaScript.valueToCode(block, 'class_data_json', Blockly.JavaScript.ORDER_ATOMIC);
|
var value_class_data_json = Blockly.JavaScript.valueToCode(block, 'class_data_json', Blockly.JavaScript.ORDER_ATOMIC);
|
||||||
var code = `_classifier.setClassifierDataset( Object.fromEntries( JSON.parse(${value_class_data_json}).map(([label, data, shape])=>[label, _tf.tensor(data, shape)]) ) );`;
|
var code = `_classifier.setClassifierDataset( Object.fromEntries( JSON.parse(${value_class_data_json}).map(([label, data, shape])=>[label, _tf.tensor(data, shape)]) ) );`;
|
||||||
return code;
|
return code;
|
||||||
};
|
};
|
||||||
|
|
||||||
|
// 温度ブロック(ツールボックス上非表示)
|
||||||
|
Blockly.defineBlocksWithJsonArray([{
|
||||||
|
"type": "ugj_temp",
|
||||||
|
"message0": "%1",
|
||||||
|
"args0": [
|
||||||
|
{
|
||||||
|
"type": "field_slider",
|
||||||
|
"name": "temp",
|
||||||
|
"value": 15,
|
||||||
|
"min": 0,
|
||||||
|
"max": 40,
|
||||||
|
"precision": 1
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"inputsInline": true,
|
||||||
|
"output": "Number",
|
||||||
|
"tooltip": "",
|
||||||
|
"helpUrl": "",
|
||||||
|
"style": "math_blocks"
|
||||||
|
}]);
|
||||||
|
Blockly.JavaScript['ugj_temp'] = function (block) {
|
||||||
|
var number_temp = block.getFieldValue('temp');
|
||||||
|
var code = `${number_temp}`;
|
||||||
|
return [code, Blockly.JavaScript.ORDER_NONE];
|
||||||
|
};
|
||||||
|
|
||||||
|
|
||||||
|
flyout_contents = flyout_contents.concat([
|
||||||
|
{
|
||||||
|
"kind": "label",
|
||||||
|
"text": "赤外線アレイセンサー(サーマルカメラ)AMG8833",
|
||||||
|
"web-line": "4.0",
|
||||||
|
"web-line-width": "200"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_grideye_init",
|
||||||
|
"fields": {
|
||||||
|
"addr": "0x69"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_grideye_thermistor"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_grideye_read"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_grideye_stop"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_grideye_canvas_create"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_draw_grideyedata",
|
||||||
|
"fields": {
|
||||||
|
"color_high": "#ff0000",
|
||||||
|
"color_low": "#3333ff"
|
||||||
|
},
|
||||||
|
"inputs": {
|
||||||
|
"temp_high": {
|
||||||
|
"shadow": {
|
||||||
|
"type": "ugj_temp",
|
||||||
|
"fields": {
|
||||||
|
"temp": "28"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"temp_low": {
|
||||||
|
"shadow": {
|
||||||
|
"type": "ugj_temp",
|
||||||
|
"fields": {
|
||||||
|
"temp": "15"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_teachable_machine"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_grideye_predict_class"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_grideye_add_example",
|
||||||
|
"inputs": {
|
||||||
|
"class_id": {
|
||||||
|
"shadow": {
|
||||||
|
"type": "math_number",
|
||||||
|
"fields": {
|
||||||
|
"NUM": "0"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_tensorset_stringify"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_tensorset_parse"
|
||||||
|
}
|
||||||
|
]);
|
@ -1,87 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"kind": "label",
|
|
||||||
"text": "赤外線アレイセンサー(サーマルカメラ)AMG8833",
|
|
||||||
"web-line": "4.0",
|
|
||||||
"web-line-width": "200"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_grideye_init",
|
|
||||||
"fields": {
|
|
||||||
"addr": "0x69"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_grideye_thermistor"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_grideye_read"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_grideye_stop"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_grideye_canvas_create"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_draw_grideyedata",
|
|
||||||
"fields": {
|
|
||||||
"color_high": "#ff0000",
|
|
||||||
"color_low": "#3333ff"
|
|
||||||
},
|
|
||||||
"inputs": {
|
|
||||||
"temp_high": {
|
|
||||||
"shadow": {
|
|
||||||
"type": "math_number",
|
|
||||||
"fields": {
|
|
||||||
"NUM": "28"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
},
|
|
||||||
"temp_low": {
|
|
||||||
"shadow": {
|
|
||||||
"type": "math_number",
|
|
||||||
"fields": {
|
|
||||||
"NUM": "15"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_teachable_machine"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_grideye_predict_class"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_grideye_add_example",
|
|
||||||
"inputs": {
|
|
||||||
"class_id": {
|
|
||||||
"shadow": {
|
|
||||||
"type": "math_number",
|
|
||||||
"fields": {
|
|
||||||
"NUM": "0"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_tensorset_stringify"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_tensorset_parse"
|
|
||||||
}
|
|
||||||
]
|
|
@ -20,7 +20,7 @@ Blockly.JavaScript['ugj_bme280'] = function (block) {
|
|||||||
Blockly.JavaScript.provideFunction_(
|
Blockly.JavaScript.provideFunction_(
|
||||||
'require_gpio', [`const _pi = require('@ocoge.club/` + apptool.gpio_backend + `');`]
|
'require_gpio', [`const _pi = require('@ocoge.club/` + apptool.gpio_backend + `');`]
|
||||||
);
|
);
|
||||||
let modpath = apptool.path.join(apptool.blocks_sensors_dir, 'bme280', 'BME280x.js');
|
let modpath = apptool.path.join(ugj_const.blocks_dir, 'sensors', 'bme280', 'BME280x.js');
|
||||||
Blockly.JavaScript.provideFunction_(
|
Blockly.JavaScript.provideFunction_(
|
||||||
'require_bme280', [`const _bme280 = require('${modpath}');`]
|
'require_bme280', [`const _bme280 = require('${modpath}');`]
|
||||||
);
|
);
|
||||||
@ -54,3 +54,27 @@ Blockly.JavaScript['ugj_bme280_data'] = function (block) {
|
|||||||
var code = `_bmedata[${dropdown_thp}]`;
|
var code = `_bmedata[${dropdown_thp}]`;
|
||||||
return [code, Blockly.JavaScript.ORDER_ATOMIC];
|
return [code, Blockly.JavaScript.ORDER_ATOMIC];
|
||||||
};
|
};
|
||||||
|
|
||||||
|
flyout_contents = flyout_contents.concat([
|
||||||
|
{
|
||||||
|
"kind": "label",
|
||||||
|
"text": "温湿度気圧センサー BME280",
|
||||||
|
"web-line": "4.0",
|
||||||
|
"web-line-width": "200"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_bme280",
|
||||||
|
"fields": {
|
||||||
|
"addr": "0x76"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_bme280_data",
|
||||||
|
"fields": {
|
||||||
|
"thp": "0"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
]);
|
||||||
|
|
||||||
|
@ -1,22 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"kind": "label",
|
|
||||||
"text": "温湿度気圧センサー BME280",
|
|
||||||
"web-line": "4.0",
|
|
||||||
"web-line-width": "200"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_bme280",
|
|
||||||
"fields": {
|
|
||||||
"addr": "0x76"
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_bme280_data",
|
|
||||||
"fields": {
|
|
||||||
"thp": "0"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
]
|
|
@ -15,7 +15,7 @@ Blockly.Blocks['ugj_dht11'] = {
|
|||||||
};
|
};
|
||||||
Blockly.JavaScript['ugj_dht11'] = function (block) {
|
Blockly.JavaScript['ugj_dht11'] = function (block) {
|
||||||
var value_pin = Blockly.JavaScript.valueToCode(block, 'pin', Blockly.JavaScript.ORDER_ATOMIC);
|
var value_pin = Blockly.JavaScript.valueToCode(block, 'pin', Blockly.JavaScript.ORDER_ATOMIC);
|
||||||
let pypath = apptool.path.join(apptool.blocks_sensors_dir, 'dht11', 'dht11.py');
|
let pypath = apptool.path.join(ugj_const.blocks_dir, 'sensors', 'dht11', 'dht11.py');
|
||||||
var code = `let _th = require('child_process').spawnSync('python3', ['${pypath}', '${value_pin}'], {timeout: 5000}).stdout.toString();
|
var code = `let _th = require('child_process').spawnSync('python3', ['${pypath}', '${value_pin}'], {timeout: 5000}).stdout.toString();
|
||||||
let _dhtdata = JSON.parse(_th);`;
|
let _dhtdata = JSON.parse(_th);`;
|
||||||
// let _dht11data[0] =
|
// let _dht11data[0] =
|
||||||
@ -39,3 +39,33 @@ Blockly.JavaScript['ugj_dht11_data'] = function (block) {
|
|||||||
var code = `_dhtdata.${dropdown_th}`;
|
var code = `_dhtdata.${dropdown_th}`;
|
||||||
return [code, Blockly.JavaScript.ORDER_ATOMIC];
|
return [code, Blockly.JavaScript.ORDER_ATOMIC];
|
||||||
};
|
};
|
||||||
|
|
||||||
|
flyout_contents = flyout_contents.concat([
|
||||||
|
{
|
||||||
|
"kind": "label",
|
||||||
|
"text": "温湿度センサー DHT11",
|
||||||
|
"web-line": "4.0",
|
||||||
|
"web-line-width": "200"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_dht11",
|
||||||
|
"inputs": {
|
||||||
|
"pin": {
|
||||||
|
"shadow": {
|
||||||
|
"type": "math_number",
|
||||||
|
"fields": {
|
||||||
|
"NUM": "8"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_dht11_data",
|
||||||
|
"fields": {
|
||||||
|
"th": "temperature"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
]);
|
@ -1,29 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"kind": "label",
|
|
||||||
"text": "温湿度センサー DHT11",
|
|
||||||
"web-line": "4.0",
|
|
||||||
"web-line-width": "200"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_dht11",
|
|
||||||
"inputs": {
|
|
||||||
"pin": {
|
|
||||||
"shadow": {
|
|
||||||
"type": "math_number",
|
|
||||||
"fields": {
|
|
||||||
"NUM": "8"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_dht11_data",
|
|
||||||
"fields": {
|
|
||||||
"th": "temperature"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
]
|
|
@ -35,7 +35,7 @@ Blockly.JavaScript['ugj_gesture_init'] = function (block) {
|
|||||||
Blockly.JavaScript.provideFunction_(
|
Blockly.JavaScript.provideFunction_(
|
||||||
'require_gpio', [`const _pi = require('@ocoge.club/` + apptool.gpio_backend + `');`]
|
'require_gpio', [`const _pi = require('@ocoge.club/` + apptool.gpio_backend + `');`]
|
||||||
);
|
);
|
||||||
let modpath = apptool.path.join(apptool.blocks_sensors_dir, 'paj7620', 'PAJ7620x.js');
|
let modpath = apptool.path.join(ugj_const.blocks_dir, 'sensors', 'paj7620', 'PAJ7620x.js');
|
||||||
Blockly.JavaScript.provideFunction_(
|
Blockly.JavaScript.provideFunction_(
|
||||||
'require_paj7620', [`const _paj7620 = require('${modpath}');`]
|
'require_paj7620', [`const _paj7620 = require('${modpath}');`]
|
||||||
);
|
);
|
||||||
@ -87,3 +87,41 @@ Blockly.JavaScript['ugj_gesture_stop'] = function (block) {
|
|||||||
var code = 'await _paj7620.stop();\n';
|
var code = 'await _paj7620.stop();\n';
|
||||||
return code;
|
return code;
|
||||||
};
|
};
|
||||||
|
|
||||||
|
flyout_contents = flyout_contents.concat([
|
||||||
|
{
|
||||||
|
"kind": "label",
|
||||||
|
"text": "ジェスチャーセンサー PAJ7620",
|
||||||
|
"web-line": "4.0",
|
||||||
|
"web-line-width": "200"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_gesture_init",
|
||||||
|
"inputs": {
|
||||||
|
"i2c_addr": {
|
||||||
|
"shadow": {
|
||||||
|
"type": "ugj_hextodec",
|
||||||
|
"inputs": {
|
||||||
|
"hex": {
|
||||||
|
"shadow": {
|
||||||
|
"type": "text",
|
||||||
|
"fields": {
|
||||||
|
"TEXT": "73"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_gesture_read"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"kind": "block",
|
||||||
|
"type": "ugj_gesture_stop"
|
||||||
|
}
|
||||||
|
]);
|
@ -1,37 +0,0 @@
|
|||||||
[
|
|
||||||
{
|
|
||||||
"kind": "label",
|
|
||||||
"text": "ジェスチャーセンサー PAJ7620",
|
|
||||||
"web-line": "4.0",
|
|
||||||
"web-line-width": "200"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_gesture_init",
|
|
||||||
"inputs": {
|
|
||||||
"i2c_addr": {
|
|
||||||
"shadow": {
|
|
||||||
"type": "ugj_hextodec",
|
|
||||||
"inputs": {
|
|
||||||
"hex": {
|
|
||||||
"shadow": {
|
|
||||||
"type": "text",
|
|
||||||
"fields": {
|
|
||||||
"TEXT": "73"
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_gesture_read"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"kind": "block",
|
|
||||||
"type": "ugj_gesture_stop"
|
|
||||||
}
|
|
||||||
]
|
|
10
blocks/sensors/z-line/index.js
Normal file
10
blocks/sensors/z-line/index.js
Normal file
@ -0,0 +1,10 @@
|
|||||||
|
(() => {
|
||||||
|
let category = workspace.getToolbox().getToolboxItemById('category_sensors');
|
||||||
|
category.updateFlyoutContents(flyout_contents.concat([{
|
||||||
|
"kind": "label",
|
||||||
|
"text": " ",
|
||||||
|
"web-line": "4.0",
|
||||||
|
"web-line-width": "200"
|
||||||
|
}]));
|
||||||
|
flyout_contents = [];
|
||||||
|
})();
|
15
index.html
15
index.html
@ -12,7 +12,12 @@
|
|||||||
</link>
|
</link>
|
||||||
<link rel="stylesheet" href="./index.css">
|
<link rel="stylesheet" href="./index.css">
|
||||||
</link>
|
</link>
|
||||||
|
<link rel="shortcut icon" type="image/png" href="https://ocoge.club/assets/img/favicon.png">
|
||||||
|
<meta property="og:url" content="https://ocoge.club/demo/" />
|
||||||
|
<meta property="og:title" content="『オコゲ』Web 体験版" />
|
||||||
|
<meta property="og:description" content="ブロックプログラミングを体験してみましょう" />
|
||||||
|
<meta property="og:site_name" content="『オコゲ』Web 体験版" />
|
||||||
|
<meta property="og:image" content="https://ocoge.club/assets/img/mimmy_360.webp" />
|
||||||
</head>
|
</head>
|
||||||
|
|
||||||
<body>
|
<body>
|
||||||
@ -1046,11 +1051,13 @@
|
|||||||
<script src="./blocks/blocks.js"></script>
|
<script src="./blocks/blocks.js"></script>
|
||||||
<script src="./apptool.js"></script>
|
<script src="./apptool.js"></script>
|
||||||
<script src="./index.js"></script>
|
<script src="./index.js"></script>
|
||||||
|
<script src="./blocks/index.js"></script>
|
||||||
<script src="./node_modules/js-beautify/js/lib/beautify.js"></script>
|
<script src="./node_modules/js-beautify/js/lib/beautify.js"></script>
|
||||||
<script src="./node_modules/prismjs/prism.js"></script>
|
<script src="./node_modules/prismjs/prism.js"></script>
|
||||||
<script src="./node_modules/prismjs/plugins/line-numbers/prism-line-numbers.min.js"></script>
|
<script src="./node_modules/prismjs/components/prism-python.js"></script>
|
||||||
<script src="./node_modules/prismjs/plugins/toolbar/prism-toolbar.min.js"></script>
|
<script src="./node_modules/prismjs/plugins/line-numbers/prism-line-numbers.js"></script>
|
||||||
<script src="./node_modules/prismjs/plugins/copy-to-clipboard/prism-copy-to-clipboard.min.js"></script>
|
<script src="./node_modules/prismjs/plugins/toolbar/prism-toolbar.js"></script>
|
||||||
|
<script src="./node_modules/prismjs/plugins/copy-to-clipboard/prism-copy-to-clipboard.js"></script>
|
||||||
</body>
|
</body>
|
||||||
|
|
||||||
</html>
|
</html>
|
2
index.js
2
index.js
@ -1,6 +1,6 @@
|
|||||||
'use strict';
|
'use strict';
|
||||||
|
|
||||||
const { checkPrimeSync } = require('crypto');
|
// const { checkPrimeSync } = require('crypto');
|
||||||
|
|
||||||
let apptool = appTool_new();
|
let apptool = appTool_new();
|
||||||
|
|
||||||
|
184
package-lock.json
generated
184
package-lock.json
generated
@ -1,26 +1,26 @@
|
|||||||
{
|
{
|
||||||
"name": "ocoge",
|
"name": "ocoge",
|
||||||
"version": "0.1.9",
|
"version": "0.1.10",
|
||||||
"lockfileVersion": 2,
|
"lockfileVersion": 2,
|
||||||
"requires": true,
|
"requires": true,
|
||||||
"packages": {
|
"packages": {
|
||||||
"": {
|
"": {
|
||||||
"name": "ocoge",
|
"name": "ocoge",
|
||||||
"version": "0.1.9",
|
"version": "0.1.10",
|
||||||
"license": "ISC",
|
"license": "ISC",
|
||||||
"dependencies": {
|
"dependencies": {
|
||||||
"@blockly/field-slider": "^4.0.3",
|
"@blockly/field-slider": "^4.0.4",
|
||||||
"@ocoge.club/pigpio": "file:local_modules/pigpio",
|
"@ocoge.club/pigpio": "file:local_modules/pigpio",
|
||||||
"@tensorflow-models/blazeface": "^0.0.7",
|
"@tensorflow-models/blazeface": "^0.0.7",
|
||||||
"@tensorflow-models/knn-classifier": "^1.2.4",
|
"@tensorflow-models/knn-classifier": "^1.2.4",
|
||||||
"@tensorflow-models/mobilenet": "^2.1.0",
|
"@tensorflow-models/mobilenet": "^2.1.0",
|
||||||
"@tensorflow-models/speech-commands": "^0.5.4",
|
"@tensorflow-models/speech-commands": "^0.5.4",
|
||||||
"@tensorflow/tfjs-node": "^4.1.0",
|
"@tensorflow/tfjs-node": "^4.2.0",
|
||||||
"axios": "^1.2.2",
|
"axios": "^1.2.2",
|
||||||
"blockly": "^9.2.0",
|
"blockly": "^9.2.0",
|
||||||
"dracula-prism": "^2.1.13",
|
"dracula-prism": "^2.1.13",
|
||||||
"js-beautify": "^1.14.7",
|
"js-beautify": "^1.14.7",
|
||||||
"node-abi": "^3.30.0",
|
"node-abi": "^3.31.0",
|
||||||
"nodemailer": "^6.8.0",
|
"nodemailer": "^6.8.0",
|
||||||
"prismjs": "^1.29.0"
|
"prismjs": "^1.29.0"
|
||||||
},
|
},
|
||||||
@ -46,9 +46,9 @@
|
|||||||
"integrity": "sha512-ibPK3iA+vaY1eEjESkQkM0BbCqFOaZMiXRTtdB0u7b4djtY6JnsjvPdUHVMg6xQt3B8fpTTWHI9A+ADjM9frzg=="
|
"integrity": "sha512-ibPK3iA+vaY1eEjESkQkM0BbCqFOaZMiXRTtdB0u7b4djtY6JnsjvPdUHVMg6xQt3B8fpTTWHI9A+ADjM9frzg=="
|
||||||
},
|
},
|
||||||
"node_modules/@blockly/field-slider": {
|
"node_modules/@blockly/field-slider": {
|
||||||
"version": "4.0.3",
|
"version": "4.0.4",
|
||||||
"resolved": "https://registry.npmjs.org/@blockly/field-slider/-/field-slider-4.0.3.tgz",
|
"resolved": "https://registry.npmjs.org/@blockly/field-slider/-/field-slider-4.0.4.tgz",
|
||||||
"integrity": "sha512-jbTEp4pHf+WG8eac3czUW+CvE+IKa8poZ97Jd3l+QPfeKuljWt9YYQ6x+7iOBx135kpHAZXUmPbQtRCjZA5oCw==",
|
"integrity": "sha512-T3lMHzG1uaTLkv9WfDLO6Mo4uYLCQVP3mJzS/yICPvEAWzYXps+Ig5MJBLe3Mfh4qBkQyFO3jG2EgYK+jytJ9w==",
|
||||||
"engines": {
|
"engines": {
|
||||||
"node": ">=8.0.0"
|
"node": ">=8.0.0"
|
||||||
},
|
},
|
||||||
@ -728,16 +728,16 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
"node_modules/@tensorflow/tfjs": {
|
"node_modules/@tensorflow/tfjs": {
|
||||||
"version": "4.1.0",
|
"version": "4.2.0",
|
||||||
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs/-/tfjs-4.1.0.tgz",
|
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs/-/tfjs-4.2.0.tgz",
|
||||||
"integrity": "sha512-jlrJ6MIBos8NkmF+NHIWBnKVBGYJTG06QmW/A0vgyXwkp+3PgzX8TJ4MWIv/7oZr7g27zfY6dXA1OFzrrgvklA==",
|
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|
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||||||
@ -749,9 +749,9 @@
|
|||||||
}
|
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|
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|
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"seedrandom": "^3.0.5"
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@ -760,15 +760,15 @@
|
|||||||
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|
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|
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|
||||||
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|
||||||
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|
"@types/webgl-ext": "0.0.30",
|
||||||
@ -778,21 +778,21 @@
|
|||||||
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|
"yarn": ">= 1.3.2"
|
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|
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@ -813,35 +813,35 @@
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|
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"node-fetch": "~2.6.1",
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"string_decoder": "^1.3.0"
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"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-layers/-/tfjs-layers-4.1.0.tgz",
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"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-layers/-/tfjs-layers-4.2.0.tgz",
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"integrity": "sha512-lzHNTZu1GwKl7hW5tt2COSpflE0m7xrsOf8AzRzpTDVJYYRx/x5ScMt/y//5jbRuaDOnb3EjT1FxWxwkD44/sg==",
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|
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|
||||||
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|
"version": "4.2.0",
|
||||||
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-node/-/tfjs-node-4.1.0.tgz",
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"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-node/-/tfjs-node-4.2.0.tgz",
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||||||
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"integrity": "sha512-dkyExfqTjMVDpKLBzHH2b7JWzGK+QORtYswvoNHbeHwx7kvYYRAQeiHxp+xrgry6LdbWfZs88IWCwNGoOiZ21w==",
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"hasInstallScript": true,
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|
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|
||||||
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@ -1798,9 +1798,9 @@
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"version": "3.26.1",
|
"version": "3.27.1",
|
||||||
"resolved": "https://registry.npmjs.org/core-js/-/core-js-3.26.1.tgz",
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"resolved": "https://registry.npmjs.org/core-js/-/core-js-3.27.1.tgz",
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"integrity": "sha512-21491RRQVzUn0GGM9Z1Jrpr6PNPxPi+Za8OM9q4tksTSnlbXXGKK1nXNg/QvwFYettXvSX6zWKCtHHfjN4puyA==",
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"integrity": "sha512-GutwJLBChfGCpwwhbYoqfv03LAfmiz7e7D/BNxzeMxwQf10GRSzqiOjx7AmtEk+heiD/JWmBuyBPgFtx0Sg1ww==",
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"hasInstallScript": true,
|
"hasInstallScript": true,
|
||||||
"funding": {
|
"funding": {
|
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"type": "opencollective",
|
"type": "opencollective",
|
||||||
@ -4306,9 +4306,9 @@
|
|||||||
"dev": true
|
"dev": true
|
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},
|
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|
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|
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|
||||||
"version": "3.30.0",
|
"version": "3.31.0",
|
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"resolved": "https://registry.npmjs.org/node-abi/-/node-abi-3.31.0.tgz",
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"integrity": "sha512-qWO5l3SCqbwQavymOmtTVuCWZE23++S+rxyoHjXqUmPyzRcaoI4lA2gO55/drddGnedAyjA7sk76SfQ5lfUMnw==",
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"integrity": "sha512-eSKV6s+APenqVh8ubJyiu/YhZgxQpGP66ntzUb3lY1xB9ukSRaGnx0AIxI+IM+1+IVYC1oWobgG5L3Lt9ARykQ==",
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"semver": "^7.3.5"
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|
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@ -6315,9 +6315,9 @@
|
|||||||
},
|
},
|
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"dependencies": {
|
"dependencies": {
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|
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|
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"version": "4.0.3",
|
"version": "4.0.4",
|
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"resolved": "https://registry.npmjs.org/@blockly/field-slider/-/field-slider-4.0.3.tgz",
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"resolved": "https://registry.npmjs.org/@blockly/field-slider/-/field-slider-4.0.4.tgz",
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"integrity": "sha512-jbTEp4pHf+WG8eac3czUW+CvE+IKa8poZ97Jd3l+QPfeKuljWt9YYQ6x+7iOBx135kpHAZXUmPbQtRCjZA5oCw=="
|
"integrity": "sha512-T3lMHzG1uaTLkv9WfDLO6Mo4uYLCQVP3mJzS/yICPvEAWzYXps+Ig5MJBLe3Mfh4qBkQyFO3jG2EgYK+jytJ9w=="
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"@electron-forge/cli": {
|
"@electron-forge/cli": {
|
||||||
"version": "6.0.4",
|
"version": "6.0.4",
|
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@ -6814,16 +6814,16 @@
|
|||||||
"integrity": "sha512-r0c/MvC15/09xWujx1pKe6mA0nta+4jQWDXGkqfSVkXLo8ARrwcZ4mTGLlfvT43ySfidiveUo0m+P51+UK821Q=="
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"integrity": "sha512-r0c/MvC15/09xWujx1pKe6mA0nta+4jQWDXGkqfSVkXLo8ARrwcZ4mTGLlfvT43ySfidiveUo0m+P51+UK821Q=="
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},
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"@tensorflow/tfjs": {
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"@tensorflow/tfjs": {
|
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"version": "4.1.0",
|
"version": "4.2.0",
|
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"resolved": "https://registry.npmjs.org/@tensorflow/tfjs/-/tfjs-4.1.0.tgz",
|
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs/-/tfjs-4.2.0.tgz",
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||||||
"integrity": "sha512-jlrJ6MIBos8NkmF+NHIWBnKVBGYJTG06QmW/A0vgyXwkp+3PgzX8TJ4MWIv/7oZr7g27zfY6dXA1OFzrrgvklA==",
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"integrity": "sha512-iZmtyGC9IJkx+TpFnkgDol8BHv2BU3zJ01HyNcuvnm1w1EqoNe+1n8bwvLzI/sxHMcHTqzuu7VugMaphryxE+A==",
|
||||||
"requires": {
|
"requires": {
|
||||||
"@tensorflow/tfjs-backend-cpu": "4.1.0",
|
"@tensorflow/tfjs-backend-cpu": "4.2.0",
|
||||||
"@tensorflow/tfjs-backend-webgl": "4.1.0",
|
"@tensorflow/tfjs-backend-webgl": "4.2.0",
|
||||||
"@tensorflow/tfjs-converter": "4.1.0",
|
"@tensorflow/tfjs-converter": "4.2.0",
|
||||||
"@tensorflow/tfjs-core": "4.1.0",
|
"@tensorflow/tfjs-core": "4.2.0",
|
||||||
"@tensorflow/tfjs-data": "4.1.0",
|
"@tensorflow/tfjs-data": "4.2.0",
|
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"@tensorflow/tfjs-layers": "4.1.0",
|
"@tensorflow/tfjs-layers": "4.2.0",
|
||||||
"argparse": "^1.0.10",
|
"argparse": "^1.0.10",
|
||||||
"chalk": "^4.1.0",
|
"chalk": "^4.1.0",
|
||||||
"core-js": "3",
|
"core-js": "3",
|
||||||
@ -6863,20 +6863,20 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
"@tensorflow/tfjs-backend-cpu": {
|
"@tensorflow/tfjs-backend-cpu": {
|
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"version": "4.1.0",
|
"version": "4.2.0",
|
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"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-backend-cpu/-/tfjs-backend-cpu-4.1.0.tgz",
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"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-backend-cpu/-/tfjs-backend-cpu-4.2.0.tgz",
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"integrity": "sha512-NqxrwpYa/hXGaBa1RzxfHsLAsaniIZryhF5CxQM9uSp1ny8wUJMH+Mda/Y8+llS3weHug8JDAbAW2cabn8l84A==",
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"requires": {
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"requires": {
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"@types/seedrandom": "^2.4.28",
|
"@types/seedrandom": "^2.4.28",
|
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"seedrandom": "^3.0.5"
|
"seedrandom": "^3.0.5"
|
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}
|
}
|
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},
|
},
|
||||||
"@tensorflow/tfjs-backend-webgl": {
|
"@tensorflow/tfjs-backend-webgl": {
|
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"version": "4.1.0",
|
"version": "4.2.0",
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"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-backend-webgl/-/tfjs-backend-webgl-4.1.0.tgz",
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"integrity": "sha512-RDjwbFCPESjh+QTrTvKC623MO58gIqxQvtX3DfJLhlsSbnsvIpA5s1CXNJYzNVmFDia35mPYKmQQWvEvhl9weA==",
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"@types/offscreencanvas": "~2019.3.0",
|
"@types/offscreencanvas": "~2019.3.0",
|
||||||
"@types/seedrandom": "^2.4.28",
|
"@types/seedrandom": "^2.4.28",
|
||||||
"@types/webgl-ext": "0.0.30",
|
"@types/webgl-ext": "0.0.30",
|
||||||
@ -6884,14 +6884,14 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
"@tensorflow/tfjs-converter": {
|
"@tensorflow/tfjs-converter": {
|
||||||
"version": "4.1.0",
|
"version": "4.2.0",
|
||||||
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-converter/-/tfjs-converter-4.1.0.tgz",
|
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-converter/-/tfjs-converter-4.2.0.tgz",
|
||||||
"integrity": "sha512-pR4TSUI949a/5uUWjHga8xzxD7Y9AbobHJtCmg86Bldfl2GV8aibz87cNjpoO+iUhH8WZo1TOJy8GpM+MPT2DA=="
|
"integrity": "sha512-m+E2KJM6yGQdi8ElzWpChdD/JaqhWMCi9yK70v/ndkOaCL2q2UN48nYP2T5S15vkDvMIgzAQyZfh7hxQsMuvRQ=="
|
||||||
},
|
},
|
||||||
"@tensorflow/tfjs-core": {
|
"@tensorflow/tfjs-core": {
|
||||||
"version": "4.1.0",
|
"version": "4.2.0",
|
||||||
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-core/-/tfjs-core-4.1.0.tgz",
|
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-core/-/tfjs-core-4.2.0.tgz",
|
||||||
"integrity": "sha512-zERD4xtxNq3dV3+wPEMi2HWSV68FA8WucSAogzErp38/q98Byv9G1x8DhxQ+jowTcqN4srGWcBfK59jYwjlAvA==",
|
"integrity": "sha512-uuHkiWVC8b00ngFbHvAV7J7haRlN/9PEdeenCi0CzBjgKd7aN25wPWaoN0TSQcU+GT4FJ8mofMZ9VBYZ/s/WLg==",
|
||||||
"requires": {
|
"requires": {
|
||||||
"@types/long": "^4.0.1",
|
"@types/long": "^4.0.1",
|
||||||
"@types/offscreencanvas": "~2019.7.0",
|
"@types/offscreencanvas": "~2019.7.0",
|
||||||
@ -6911,9 +6911,9 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
"@tensorflow/tfjs-data": {
|
"@tensorflow/tfjs-data": {
|
||||||
"version": "4.1.0",
|
"version": "4.2.0",
|
||||||
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-data/-/tfjs-data-4.1.0.tgz",
|
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-data/-/tfjs-data-4.2.0.tgz",
|
||||||
"integrity": "sha512-H6ef6NXPwi2xKYB6tVNZi5RqniMFpfUSlxG3q0BNxnyuyeCUSjJvHJFpah9hT/ysYjVdwspzh/I6B67h+lBchg==",
|
"integrity": "sha512-11t7Q+ikseduJgkd9iSeRrtor1aA3o5PVCFhC5yYvR3JLO55ic1+4Ryo0EJfhRoismS6zBUJrpzX4K0zlLbIfw==",
|
||||||
"requires": {
|
"requires": {
|
||||||
"@types/node-fetch": "^2.1.2",
|
"@types/node-fetch": "^2.1.2",
|
||||||
"node-fetch": "~2.6.1",
|
"node-fetch": "~2.6.1",
|
||||||
@ -6921,17 +6921,17 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
"@tensorflow/tfjs-layers": {
|
"@tensorflow/tfjs-layers": {
|
||||||
"version": "4.1.0",
|
"version": "4.2.0",
|
||||||
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-layers/-/tfjs-layers-4.1.0.tgz",
|
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-layers/-/tfjs-layers-4.2.0.tgz",
|
||||||
"integrity": "sha512-lzHNTZu1GwKl7hW5tt2COSpflE0m7xrsOf8AzRzpTDVJYYRx/x5ScMt/y//5jbRuaDOnb3EjT1FxWxwkD44/sg=="
|
"integrity": "sha512-SO0KTmCFOjrW+PlP9nKYXz07XGFq6uE7am9yH2bRaRPWpEeaKT/+k0C9vFMxI/GzRwY8AK4sLe4U+jE1mhYxGw=="
|
||||||
},
|
},
|
||||||
"@tensorflow/tfjs-node": {
|
"@tensorflow/tfjs-node": {
|
||||||
"version": "4.1.0",
|
"version": "4.2.0",
|
||||||
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-node/-/tfjs-node-4.1.0.tgz",
|
"resolved": "https://registry.npmjs.org/@tensorflow/tfjs-node/-/tfjs-node-4.2.0.tgz",
|
||||||
"integrity": "sha512-2H7UJqVafuM9fbsMdzUkcfWLpH/owgvVHWES+gQsiueIqyOjpq6ZGSQLDxyuKtHP2D/8/kWeVIbnzAjnIRniuA==",
|
"integrity": "sha512-dkyExfqTjMVDpKLBzHH2b7JWzGK+QORtYswvoNHbeHwx7kvYYRAQeiHxp+xrgry6LdbWfZs88IWCwNGoOiZ21w==",
|
||||||
"requires": {
|
"requires": {
|
||||||
"@mapbox/node-pre-gyp": "1.0.9",
|
"@mapbox/node-pre-gyp": "1.0.9",
|
||||||
"@tensorflow/tfjs": "4.1.0",
|
"@tensorflow/tfjs": "4.2.0",
|
||||||
"adm-zip": "^0.5.2",
|
"adm-zip": "^0.5.2",
|
||||||
"google-protobuf": "^3.9.2",
|
"google-protobuf": "^3.9.2",
|
||||||
"https-proxy-agent": "^2.2.1",
|
"https-proxy-agent": "^2.2.1",
|
||||||
@ -7661,9 +7661,9 @@
|
|||||||
"integrity": "sha512-ty/fTekppD2fIwRvnZAVdeOiGd1c7YXEixbgJTNzqcxJWKQnjJ/V1bNEEE6hygpM3WjwHFUVK6HTjWSzV4a8sQ=="
|
"integrity": "sha512-ty/fTekppD2fIwRvnZAVdeOiGd1c7YXEixbgJTNzqcxJWKQnjJ/V1bNEEE6hygpM3WjwHFUVK6HTjWSzV4a8sQ=="
|
||||||
},
|
},
|
||||||
"core-js": {
|
"core-js": {
|
||||||
"version": "3.26.1",
|
"version": "3.27.1",
|
||||||
"resolved": "https://registry.npmjs.org/core-js/-/core-js-3.26.1.tgz",
|
"resolved": "https://registry.npmjs.org/core-js/-/core-js-3.27.1.tgz",
|
||||||
"integrity": "sha512-21491RRQVzUn0GGM9Z1Jrpr6PNPxPi+Za8OM9q4tksTSnlbXXGKK1nXNg/QvwFYettXvSX6zWKCtHHfjN4puyA=="
|
"integrity": "sha512-GutwJLBChfGCpwwhbYoqfv03LAfmiz7e7D/BNxzeMxwQf10GRSzqiOjx7AmtEk+heiD/JWmBuyBPgFtx0Sg1ww=="
|
||||||
},
|
},
|
||||||
"cross-spawn": {
|
"cross-spawn": {
|
||||||
"version": "7.0.3",
|
"version": "7.0.3",
|
||||||
@ -9544,9 +9544,9 @@
|
|||||||
"dev": true
|
"dev": true
|
||||||
},
|
},
|
||||||
"node-abi": {
|
"node-abi": {
|
||||||
"version": "3.30.0",
|
"version": "3.31.0",
|
||||||
"resolved": "https://registry.npmjs.org/node-abi/-/node-abi-3.30.0.tgz",
|
"resolved": "https://registry.npmjs.org/node-abi/-/node-abi-3.31.0.tgz",
|
||||||
"integrity": "sha512-qWO5l3SCqbwQavymOmtTVuCWZE23++S+rxyoHjXqUmPyzRcaoI4lA2gO55/drddGnedAyjA7sk76SfQ5lfUMnw==",
|
"integrity": "sha512-eSKV6s+APenqVh8ubJyiu/YhZgxQpGP66ntzUb3lY1xB9ukSRaGnx0AIxI+IM+1+IVYC1oWobgG5L3Lt9ARykQ==",
|
||||||
"requires": {
|
"requires": {
|
||||||
"semver": "^7.3.5"
|
"semver": "^7.3.5"
|
||||||
}
|
}
|
||||||
|
@ -28,18 +28,18 @@
|
|||||||
"electron": "^22.0.0"
|
"electron": "^22.0.0"
|
||||||
},
|
},
|
||||||
"dependencies": {
|
"dependencies": {
|
||||||
"@blockly/field-slider": "^4.0.3",
|
"@blockly/field-slider": "^4.0.4",
|
||||||
"@ocoge.club/pigpio": "file:local_modules/pigpio",
|
"@ocoge.club/pigpio": "file:local_modules/pigpio",
|
||||||
"@tensorflow-models/blazeface": "^0.0.7",
|
"@tensorflow-models/blazeface": "^0.0.7",
|
||||||
"@tensorflow-models/knn-classifier": "^1.2.4",
|
"@tensorflow-models/knn-classifier": "^1.2.4",
|
||||||
"@tensorflow-models/mobilenet": "^2.1.0",
|
"@tensorflow-models/mobilenet": "^2.1.0",
|
||||||
"@tensorflow-models/speech-commands": "^0.5.4",
|
"@tensorflow-models/speech-commands": "^0.5.4",
|
||||||
"@tensorflow/tfjs-node": "^4.1.0",
|
"@tensorflow/tfjs-node": "^4.2.0",
|
||||||
"axios": "^1.2.2",
|
"axios": "^1.2.2",
|
||||||
"blockly": "^9.2.0",
|
"blockly": "^9.2.0",
|
||||||
"dracula-prism": "^2.1.13",
|
"dracula-prism": "^2.1.13",
|
||||||
"js-beautify": "^1.14.7",
|
"js-beautify": "^1.14.7",
|
||||||
"node-abi": "^3.30.0",
|
"node-abi": "^3.31.0",
|
||||||
"nodemailer": "^6.8.0",
|
"nodemailer": "^6.8.0",
|
||||||
"prismjs": "^1.29.0"
|
"prismjs": "^1.29.0"
|
||||||
},
|
},
|
||||||
|
Loading…
Reference in New Issue
Block a user