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Gui.groovy
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/*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import static GroovyFXUtil.*
import static MnistInfer.*
import static Util.displayResult
import static Util.maxIndex
import static groovyx.javafx.GroovyFX.start
import static javafx.scene.paint.Color.WHITE
def size = 280
def pen = 12
load(getClass())
start {
stage(title: 'MNIST', visible: true) {
scene(id: "scene", fill: WHITE) {
borderPane {
top {
canvas(id: "canvas", width: size, height: size)
def g = canvas.graphicsContext2D
clear(g, size)
canvas.onMouseDragged { e -> g.fillOval e.x - pen, e.y - pen, pen * 2, pen * 2 }
}
center {
hbox(alignment: 'Center') {
button('Clear', onAction: {
clear(canvas.graphicsContext2D, size)
out.text = displayResult([null] * 10, null)
})
button('Predict', onAction: {
def result = query(normalize(imageToArray(snapshot(canvas))))
def predictLabel = maxIndex(result)
out.text = displayResult(result.data.collect{ it[0] }, predictLabel)
})
}
}
bottom {
textArea(displayResult([null] * 10, null), id: 'out', editable: false, prefColumnCount: 16)
}
}
}
}
}