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Marty
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‎LICENSE

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MIT License
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3-
Copyright (c) 2019 Webduino
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Copyright (c) 2018 marty5499
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal

‎README.md

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# webduino-module-imageml

‎blockly.json

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{
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"types": ["imageml2_classifier", "imageml2_callback", "imageml2_levelVal", "imageml2_confidenceVal"],
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"category": "toolbox",
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"scripts": [
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"blockly/hashids.min.js",
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"blockly/util.js",
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"blockly/blocks.js",
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"blockly/javascript.js"
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],
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"dependencies": [
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"imageml.js",
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"imageml-blockly.js"
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],
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"msg": "blockly/msg",
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"blocksMsg": "blockly/msg/blocks",
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"toolbox": "blockly/toolbox.xml"
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}

‎blockly/blocks.js

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//https: //blockly-demo.appspot.com/static/demos/blockfactory_old/index.html#ckpupe
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Blockly.Blocks['imageml2_classifier'] = {
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init: function () {
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this.appendDummyInput()
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.appendField(Blockly.Msg.WEBDUINO_IMAGEML_CAMERA_SRC)
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.appendField(new Blockly.FieldTextInput(Blockly.Msg.WEBDUINO_IMAGEML_CAMERA_LOCAL), "camSource")
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.appendField("旋轉鏡頭")
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.appendField(new Blockly.FieldCheckbox("TRUE"), "rotate")
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.appendField(Blockly.Msg.WEBDUINO_IMAGEML_MODEL_NAME)
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.appendField(new Blockly.FieldTextInput(""), "modelName");
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this.setOutput(true, null);
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this.setColour(230);
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this.setTooltip('');
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this.setToolUrl(hasher.getUIUrl());
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}
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};
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Blockly.Blocks['imageml2_callback'] = {
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init: function () {
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this.appendDummyInput()
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.appendField(new Blockly.FieldVariable("imageClassifier"), "name")
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.appendField(Blockly.Msg.WEBDUINO_IMAGEML_CLASSIFY)
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.appendField(new Blockly.FieldTextInput("0"), "idx")
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.appendField(Blockly.Msg.WEBDUINO_IMAGEML_CLASSIFY2);
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this.appendStatementInput("name")
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.setCheck(null)
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.appendField(Blockly.Msg.WEBDUINO_IMAGEML_RUN);
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this.setPreviousStatement(true, null);
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this.setNextStatement(true, null);
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this.setColour(75);
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this.setTooltip('');
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this.setToolUrl(hasher.getUIUrl());
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}
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};
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Blockly.Blocks['imageml2_levelVal'] = {
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init: function () {
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this.appendDummyInput()
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.appendField(new Blockly.FieldVariable("imageClassifier"), "name")
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.appendField(Blockly.Msg.WEBDUINO_IMAGEML_LEVEL);
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this.setOutput(true, null);
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this.setColour(45);
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this.setTooltip("");
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this.setToolUrl(hasher.getUIUrl());
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}
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};
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Blockly.Blocks['imageml2_confidenceVal'] = {
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init: function () {
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this.appendDummyInput()
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.appendField(new Blockly.FieldVariable("imageClassifier"), "name")
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.appendField(Blockly.Msg.WEBDUINO_IMAGEML_CONFIDENCE);
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this.setOutput(true, null);
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this.setColour(45);
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this.setTooltip("");
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this.setToolUrl(hasher.getUIUrl());
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}
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};

‎blockly/hashids.min.js

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‎blockly/javascript.js

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Blockly.JavaScript['imageml2_classifier'] = function (block) {
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var text_cameraurl = block.getFieldValue('cameraURL');
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var text_camSource = block.getFieldValue('camSource');
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var text_modelname = block.getFieldValue('modelName');
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var checkbox_rotate = block.getFieldValue('rotate') == 'TRUE';
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var code = 'getVideoClassifier("' + text_modelname + '","' + text_camSource + '",' + hasher.userId + ',' + checkbox_rotate + ')';
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return [code, Blockly.JavaScript.ORDER_NONE];
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};
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Blockly.JavaScript['imageml2_callback'] = function (block) {
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var idx = block.getFieldValue('idx');
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var variable_name = Blockly.JavaScript.variableDB_.getName(block.getFieldValue('name'), Blockly.Variables.NAME_TYPE);
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var statements_name = Blockly.JavaScript.statementToCode(block, 'name');
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var code = variable_name + '.onLabel(' + idx + ', async function(idx){\n';
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code += statements_name + '\n';
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code += '});\n';
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return code;
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};
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Blockly.JavaScript['imageml2_levelVal'] = function (block) {
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var variable_name = Blockly.JavaScript.variableDB_.getName(block.getFieldValue('name'), Blockly.Variables.NAME_TYPE);
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var code = variable_name + '.getClass()';
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return [code, Blockly.JavaScript.ORDER_NONE];
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};
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Blockly.JavaScript['imageml2_confidenceVal'] = function (block) {
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var variable_name = Blockly.JavaScript.variableDB_.getName(block.getFieldValue('name'), Blockly.Variables.NAME_TYPE);
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var code = variable_name + '.getConfidence()';
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return [code, Blockly.JavaScript.ORDER_NONE];
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};

‎blockly/msg/blocks/en.js

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Blockly.Msg.WEBDUINO_IMAGEML_CAMERA_SRC = "Camera Source:";
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Blockly.Msg.WEBDUINO_IMAGEML_CAMERA_LOCAL = "Local";
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Blockly.Msg.WEBDUINO_IMAGEML_MODEL_NAME = ", load model:";
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Blockly.Msg.WEBDUINO_IMAGEML_CLASSIFY = "Start to classify, when the class index is";
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Blockly.Msg.WEBDUINO_IMAGEML_CLASSIFY2 = "";
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Blockly.Msg.WEBDUINO_IMAGEML_RUN = "Run";
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Blockly.Msg.WEBDUINO_IMAGEML_LEVEL = "Class index";
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Blockly.Msg.WEBDUINO_IMAGEML_CONFIDENCE = "Class confidence";

‎blockly/msg/blocks/zh-hans.js

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Blockly.Msg.WEBDUINO_IMAGEML_CAMERA_SRC = "相机位置：";
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Blockly.Msg.WEBDUINO_IMAGEML_CAMERA_LOCAL = "本机";
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Blockly.Msg.WEBDUINO_IMAGEML_MODEL_NAME = "，加载模型：";
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Blockly.Msg.WEBDUINO_IMAGEML_CLASSIFY = "对影像进行分类，当分类编号为";
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Blockly.Msg.WEBDUINO_IMAGEML_CLASSIFY2 = "时";
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Blockly.Msg.WEBDUINO_IMAGEML_RUN = "执行";
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Blockly.Msg.WEBDUINO_IMAGEML_LEVEL = "分类编号";
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Blockly.Msg.WEBDUINO_IMAGEML_CONFIDENCE = "分类信心度";

‎blockly/msg/blocks/zh-hant.js

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Blockly.Msg.WEBDUINO_IMAGEML_CAMERA_SRC = "相機位置：";
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Blockly.Msg.WEBDUINO_IMAGEML_CAMERA_LOCAL = "本機";
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Blockly.Msg.WEBDUINO_IMAGEML_MODEL_NAME = "，載入模型：";
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Blockly.Msg.WEBDUINO_IMAGEML_CLASSIFY = "對影像進行分類，當分類編號為";
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Blockly.Msg.WEBDUINO_IMAGEML_CLASSIFY2 = "時";
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Blockly.Msg.WEBDUINO_IMAGEML_RUN = "執行";
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Blockly.Msg.WEBDUINO_IMAGEML_LEVEL = "分類編號";
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Blockly.Msg.WEBDUINO_IMAGEML_CONFIDENCE = "分類信心度";

‎blockly/msg/en.js

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MSG.catImageML = "Image Classifier";

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