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August 18, 2020 20:42
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import React, { | |
useEffect, | |
useState, | |
Fragment | |
} from "react"; | |
import loading from './loading.gif' | |
import { | |
connect | |
} from "react-redux"; | |
import { | |
PropTypes | |
} from 'prop-types' | |
import { | |
trainNetwork, | |
result, | |
white, | |
black, | |
predict | |
} from './actions/contrastpicker.js' | |
const App = ({ | |
trainNetwork, | |
training, | |
result, | |
resultN, | |
white, | |
red, | |
green, | |
blue, | |
whiteReturning, | |
blackReturning, | |
black, | |
predict, | |
closeResult | |
}) => { | |
useEffect(() => { | |
console.log('Hello') | |
trainNetwork(); | |
result(red, green, blue) | |
}, []); | |
const handleWhite = async (e) => { | |
console.log('Handling white') | |
white(red, green, blue); | |
//result(red,green,blue) | |
}; | |
const handleBlack = async (e) => { | |
console.log('Handling black') | |
black(red, green, blue); | |
//result(red,green,blue) | |
}; | |
const [data, setData] = useState({ | |
r: 0, | |
g: 0, | |
b: 0 | |
}) | |
const { | |
r, | |
g, | |
b | |
} = data; | |
const handleRed = async (e) => { | |
setData({ | |
...data, | |
r: e.target.value / 255 | |
}) | |
} | |
const handleGreen = async (e) => { | |
setData({ | |
...data, | |
g: e.target.value / 255 | |
}) | |
} | |
const handleBlue = async (e) => { | |
setData({ | |
...data, | |
b: e.target.value / 255 | |
}) | |
} | |
const predictResults = async (e) => { | |
if (b >= 0 && b <= 1 && r >= 0 && r <= 1 && g >= 0 && g <= 1) { | |
predict(r, g, b) | |
} | |
} | |
return ( < | |
React.Fragment > { | |
training ? < div style = { | |
{ | |
'textAlign': 'center', | |
'fontSize': '50px', | |
'marginTop': '15%' | |
} | |
} > Training Network < | |
div > < img src = { | |
loading | |
} | |
/></div > | |
< | |
/div>: | |
< | |
div style = { | |
{ | |
'backgroundColor': 'rgb(' + red * 255 + ',' + green * 255 + ',' + blue * 255 + ')', | |
'width': window.innerWidth, | |
'height': window.innerHeight | |
} | |
} > | |
< | |
div style = { | |
{ | |
'textAlign': 'center', | |
'fontSize': '20px' | |
} | |
} > | |
< | |
div style = { | |
{ | |
'color': 'white' | |
} | |
} > This is white on this page < /div> < | |
div style = { | |
{ | |
'color': 'black' | |
} | |
} > This is black on this page < /div> < | |
br / > | |
< | |
div style = { | |
{ | |
'color': resultN > 0.5 ? 'white' : 'black' | |
} | |
} > The font - color of this text is predicted by the neural network < /div> | |
< | |
/div> | |
< | |
div style = { | |
{ | |
'textAlign': 'center', | |
'fontSize': '20px' | |
} | |
} > | |
< | |
p style = { | |
{ | |
'color': resultN > 0.5 ? 'white' : 'black' | |
} | |
} > Which one is more readable ? < /p> < | |
button className = "btn btn-light" | |
style = { | |
{ | |
'marginRight': '5px' | |
} | |
} | |
onClick = { | |
handleBlack | |
} > BLACK < /button> < | |
button className = "btn btn-dark" | |
onClick = { | |
handleWhite | |
} | |
> | |
WHITE < /button> < | |
/div> < | |
br / > | |
< | |
form > | |
< | |
div className = "form-group" > | |
< | |
div className = "row" | |
style = { | |
{ | |
'padding': '10px', | |
'textAlign': 'center', | |
'fontSize': '5px', | |
'backgroundColor': 'white', | |
'width': 'fit-content', | |
'marginLeft': 'auto', | |
'marginRight': 'auto', | |
'marginTop': '20px' | |
} | |
} > | |
< | |
span > < input required className = "form-control" | |
type = "number" | |
min = "0" | |
max = "255" | |
placeholder = "Red" | |
style = { | |
{ | |
'margin': '5px', | |
'width': 'fit-content' | |
} | |
} | |
onChange = { | |
handleRed | |
} > < /input></span > | |
< | |
span > < input required className = "form-control" | |
type = "number" | |
min = "0" | |
max = "255" | |
placeholder = "Green" | |
style = { | |
{ | |
'margin': '5px', | |
'width': 'fit-content' | |
} | |
} | |
onChange = { | |
handleGreen | |
} > < /input></span > | |
< | |
span > < input required className = "form-control" | |
type = "number" | |
min = "0" | |
max = "255" | |
placeholder = "Blue" | |
style = { | |
{ | |
'margin': '5px', | |
'width': 'fit-content' | |
} | |
} | |
onChange = { | |
handleBlue | |
} > < /input></span > | |
< | |
button type = "button" | |
className = "btn btn-success" | |
onClick = { | |
predictResults | |
} > Set Background Color and Predict < /button> < | |
/div> < | |
/div> < | |
/form> | |
< | |
div style = { | |
{ | |
'textAlign': 'center', | |
'fontSize': '80px', | |
'color': resultN > 0.5 ? 'white' : 'black', | |
'marginTop': '20px' | |
} | |
} > { | |
!closeResult ? resultN > 0.5 ? 'WHITE' : 'BLACK' : null | |
} < | |
div style = { | |
{ | |
'bottom': '40px', | |
'marginLeft': 'auto', | |
'marginRight': 'auto', | |
'left': '0', | |
'right': '0', | |
'width': '100%', | |
'textAlign': 'center', | |
'fontSize': '0.7rem', | |
'position': 'absolute' | |
} | |
} > The training data is frequently getting updated and the neural network 's learnings are not wiped out even on closing the browser window < | |
div > Simultaneously update the training data and predict results < /div> | |
< | |
/div> < | |
/div> < | |
/div> | |
} < | |
/React.Fragment> | |
) | |
} | |
App.propTypes = { | |
training: PropTypes.bool.isRequired, | |
trainNetwork: PropTypes.func.isRequired, | |
result: PropTypes.func.isRequired, | |
resultN: PropTypes.number.isRequired, | |
red: PropTypes.number.isRequired, | |
green: PropTypes.number.isRequired, | |
blue: PropTypes.number.isRequired, | |
whiteReturning: PropTypes.bool.isRequired, | |
blackReturning: PropTypes.bool.isRequired, | |
predict: PropTypes.func.isRequired, | |
closeResult: PropTypes.bool.isRequired | |
} | |
const mapStateToProps = (state) => ({ | |
training: state.contrastpicker.training, | |
resultN: state.contrastpicker.resultN, | |
red: state.contrastpicker.red, | |
green: state.contrastpicker.green, | |
blue: state.contrastpicker.blue, | |
whiteReturning: state.contrastpicker.whiteReturning, | |
blackReturning: state.contrastpicker.blackReturning, | |
closeResult: state.contrastpicker.closeResult | |
}); | |
export default connect(mapStateToProps, { | |
trainNetwork, | |
result, | |
white, | |
black, | |
predict | |
})(App); |
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