/* * MIT License * * Copyright (c) 2019 Alexey Edelev * * This file is part of NeuralNetwork project https://git.semlanik.org/semlanik/NeuralNetwork * * Permission is hereby granted, free of charge, to any person obtaining a copy of this * software and associated documentation files (the "Software"), to deal in the Software * without restriction, including without limitation the rights to use, copy, modify, * merge, publish, distribute, sublicense, and/or sell copies of the Software, and * to permit persons to whom the Software is furnished to do so, subject to the following * conditions: * * The above copyright notice and this permission notice shall be included in all copies * or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, * INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR * PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE * FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR * OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER * DEALINGS IN THE SOFTWARE. */ import QtQuick 2.11 import QtQuick.Window 2.11 import QtQuick.Controls 1.4 import QtQuick.Dialogs 1.2 ApplicationWindow { id: root visible: true width: 1120 height: 560 maximumWidth: 1120 maximumHeight: 560 minimumWidth: 1120 minimumHeight: 560 property int tileSize: 20 property int tileCount: 28 property color resetColor: "#333333" MouseArea { id: drawingArea width: tileCount*tileSize height: tileCount*tileSize Repeater { model: 784 Rectangle { id: tile width: tileSize height: tileSize color: resetColor x: tileSize*(model.index%tileCount) y: tileSize*Math.floor(model.index/tileCount) Connections { target: drawingArea onPositionChanged: { var centerX = tile.x + tile.width/2 var centerY = tile.y + tile.height/2 var diffX = mouse.x - centerX var diffY = mouse.y - centerY var dense = Math.sqrt(diffX * diffX + diffY * diffY) if (dense < tileSize*1.5) { var newColor = color.r + (tileSize*1.5 - dense)/tileSize*1.5 var newValue = newColor - 0.2 if (newColor > 1.0) { newColor = 1.0 newValue = 1.0 } tile.color = Qt.rgba(newColor, newColor, newColor, 1.0) hwengine.updateValue(model.index, newValue) } } } Connections { target: clearButton onClicked: { tile.color = resetColor hwengine.updateValue(model.index, 0.0) } } } } } Column { id: controls anchors.left: drawingArea.right anchors.top: parent.top anchors.margins: 10 spacing: 10 Text { text: "Select neural network data" } Row { TextField { id: pathToNeuralNetwork enabled: false width: 300 } Button { id: browseButton text: "Browse" onClicked: { neuralNetworkImport.open() } } Button { id: uploadButton text: "Upload" onClicked: { hwengine.setNeuralNetworkData(pathToNeuralNetwork.text) } } } Button { id: tainButton text: "Re-run trainig" onClicked: { hwengine.retrain() } } Button { id: clearButton text: "Clear" } Button { id: recognizeButton text: "Recognize" onClicked: { hwengine.recognize() } } } Text { id: result anchors.top: controls.bottom anchors.topMargin: 100 anchors.horizontalCenter: controls.horizontalCenter color: "#003b6f" //Tardis blue :) font.pixelSize: 40 text: hwengine.result } FileDialog { id: neuralNetworkImport selectMultiple: false selectFolder: false nameFilters: ["*.nnd"] onAccepted: { pathToNeuralNetwork.text = neuralNetworkImport.fileUrl } } }