mirror of
https://github.com/iib0011/omni-tools.git
synced 2025-12-29 16:16:02 +00:00
refactor: toolOptions
This commit is contained in:
@@ -1,15 +1,13 @@
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import { Box } from '@mui/material';
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import React, { useEffect, useState } from 'react';
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import React, { useState } from 'react';
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import * as Yup from 'yup';
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import ToolFileInput from '../../../../components/input/ToolFileInput';
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import ToolFileResult from '../../../../components/result/ToolFileResult';
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import ToolOptions from '../../../../components/options/ToolOptions';
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import { Formik, useFormikContext } from 'formik';
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import ColorSelector from '../../../../components/options/ColorSelector';
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import Color from 'color';
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import TextFieldWithDesc from 'components/options/TextFieldWithDesc';
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import ToolInputAndResult from '../../../../components/ToolInputAndResult';
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import ToolOptionGroups from '../../../../components/options/ToolOptionGroups';
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const initialValues = {
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fromColor: 'white',
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@@ -23,86 +21,81 @@ export default function ChangeColorsInPng() {
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const [input, setInput] = useState<File | null>(null);
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const [result, setResult] = useState<File | null>(null);
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const FormikListenerComponent = ({ input }: { input: File }) => {
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const { values } = useFormikContext<typeof initialValues>();
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const { fromColor, toColor, similarity } = values;
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const compute = (optionsValues: typeof initialValues, input: any) => {
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const { fromColor, toColor, similarity } = optionsValues;
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let fromRgb: [number, number, number];
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let toRgb: [number, number, number];
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try {
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//@ts-ignore
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fromRgb = Color(fromColor).rgb().array();
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//@ts-ignore
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toRgb = Color(toColor).rgb().array();
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} catch (err) {
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return;
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}
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const processImage = async (
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file: File,
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fromColor: [number, number, number],
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toColor: [number, number, number],
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similarity: number
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) => {
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const canvas = document.createElement('canvas');
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const ctx = canvas.getContext('2d');
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if (ctx == null) return;
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const img = new Image();
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useEffect(() => {
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let fromRgb: [number, number, number];
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let toRgb: [number, number, number];
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try {
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//@ts-ignore
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fromRgb = Color(fromColor).rgb().array();
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//@ts-ignore
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toRgb = Color(toColor).rgb().array();
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} catch (err) {
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return;
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}
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const processImage = async (
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file: File,
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fromColor: [number, number, number],
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toColor: [number, number, number],
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similarity: number
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img.src = URL.createObjectURL(file);
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await img.decode();
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canvas.width = img.width;
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canvas.height = img.height;
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ctx.drawImage(img, 0, 0);
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const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
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const data: Uint8ClampedArray = imageData.data;
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const colorDistance = (
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c1: [number, number, number],
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c2: [number, number, number]
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) => {
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const canvas = document.createElement('canvas');
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const ctx = canvas.getContext('2d');
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if (ctx == null) return;
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const img = new Image();
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img.src = URL.createObjectURL(file);
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await img.decode();
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canvas.width = img.width;
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canvas.height = img.height;
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ctx.drawImage(img, 0, 0);
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const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
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const data: Uint8ClampedArray = imageData.data;
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const colorDistance = (
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c1: [number, number, number],
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c2: [number, number, number]
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) => {
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return Math.sqrt(
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Math.pow(c1[0] - c2[0], 2) +
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Math.pow(c1[1] - c2[1], 2) +
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Math.pow(c1[2] - c2[2], 2)
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);
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};
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const maxColorDistance = Math.sqrt(
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Math.pow(255, 2) + Math.pow(255, 2) + Math.pow(255, 2)
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return Math.sqrt(
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Math.pow(c1[0] - c2[0], 2) +
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Math.pow(c1[1] - c2[1], 2) +
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Math.pow(c1[2] - c2[2], 2)
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);
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const similarityThreshold = (similarity / 100) * maxColorDistance;
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for (let i = 0; i < data.length; i += 4) {
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const currentColor: [number, number, number] = [
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data[i],
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data[i + 1],
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data[i + 2]
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];
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if (colorDistance(currentColor, fromColor) <= similarityThreshold) {
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data[i] = toColor[0]; // Red
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data[i + 1] = toColor[1]; // Green
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data[i + 2] = toColor[2]; // Blue
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}
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}
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ctx.putImageData(imageData, 0, 0);
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canvas.toBlob((blob) => {
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if (blob) {
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const newFile = new File([blob], file.name, { type: 'image/png' });
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setResult(newFile);
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}
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}, 'image/png');
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};
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const maxColorDistance = Math.sqrt(
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Math.pow(255, 2) + Math.pow(255, 2) + Math.pow(255, 2)
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);
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const similarityThreshold = (similarity / 100) * maxColorDistance;
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processImage(input, fromRgb, toRgb, Number(similarity));
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}, [input, fromColor, toColor]);
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for (let i = 0; i < data.length; i += 4) {
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const currentColor: [number, number, number] = [
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data[i],
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data[i + 1],
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data[i + 2]
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];
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if (colorDistance(currentColor, fromColor) <= similarityThreshold) {
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data[i] = toColor[0]; // Red
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data[i + 1] = toColor[1]; // Green
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data[i + 2] = toColor[2]; // Blue
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}
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}
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return null;
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ctx.putImageData(imageData, 0, 0);
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canvas.toBlob((blob) => {
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if (blob) {
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const newFile = new File([blob], file.name, {
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type: 'image/png'
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});
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setResult(newFile);
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}
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}, 'image/png');
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};
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processImage(input, fromRgb, toRgb, Number(similarity));
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};
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return (
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<Box>
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<ToolInputAndResult
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@@ -122,47 +115,38 @@ export default function ChangeColorsInPng() {
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/>
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}
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/>
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<ToolOptions>
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<Formik
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initialValues={initialValues}
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validationSchema={validationSchema}
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onSubmit={() => {}}
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>
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{({ setFieldValue, values }) => (
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<Box>
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{input && <FormikListenerComponent input={input} />}
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<ToolOptionGroups
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groups={[
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{
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title: 'From color and to color',
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component: (
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<Box>
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<ColorSelector
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value={values.fromColor}
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onChange={(val) => setFieldValue('fromColor', val)}
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description={'Replace this color (from color)'}
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/>
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<ColorSelector
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value={values.toColor}
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onChange={(val) => setFieldValue('toColor', val)}
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description={'With this color (to color)'}
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/>
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<TextFieldWithDesc
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value={values.similarity}
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onChange={(val) => setFieldValue('similarity', val)}
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description={
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'Match this % of similar colors of the from color. For example, 10% white will match white and a little bit of gray.'
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}
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/>
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</Box>
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)
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<ToolOptions
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compute={compute}
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getGroups={({ values, setFieldValue }) => [
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{
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title: 'From color and to color',
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component: (
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<Box>
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<ColorSelector
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value={values.fromColor}
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onChange={(val) => setFieldValue('fromColor', val)}
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description={'Replace this color (from color)'}
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/>
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<ColorSelector
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value={values.toColor}
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onChange={(val) => setFieldValue('toColor', val)}
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description={'With this color (to color)'}
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/>
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<TextFieldWithDesc
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value={values.similarity}
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onChange={(val) => setFieldValue('similarity', val)}
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description={
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'Match this % of similar colors of the from color. For example, 10% white will match white and a little bit of gray.'
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}
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]}
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/>
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</Box>
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)}
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</Formik>
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</ToolOptions>
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/>
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</Box>
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)
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}
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]}
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initialValues={initialValues}
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input={input}
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validationSchema={validationSchema}
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/>
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</Box>
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);
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}
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@@ -1,15 +1,13 @@
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import { Box } from '@mui/material';
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import React, { useEffect, useState } from 'react';
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import React, { useState } from 'react';
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import * as Yup from 'yup';
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import ToolFileInput from '../../../../components/input/ToolFileInput';
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import ToolFileResult from '../../../../components/result/ToolFileResult';
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import ToolOptions from '../../../../components/options/ToolOptions';
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import { Formik, useFormikContext } from 'formik';
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import ColorSelector from '../../../../components/options/ColorSelector';
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import Color from 'color';
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import TextFieldWithDesc from 'components/options/TextFieldWithDesc';
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import ToolInputAndResult from '../../../../components/ToolInputAndResult';
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import ToolOptionGroups from '../../../../components/options/ToolOptionGroups';
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const initialValues = {
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fromColor: 'white',
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@@ -22,78 +20,73 @@ export default function ChangeColorsInPng() {
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const [input, setInput] = useState<File | null>(null);
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const [result, setResult] = useState<File | null>(null);
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const FormikListenerComponent = ({ input }: { input: File }) => {
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const { values } = useFormikContext<typeof initialValues>();
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const { fromColor, similarity } = values;
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const compute = (optionsValues: typeof initialValues, input: any) => {
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const { fromColor, similarity } = optionsValues;
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useEffect(() => {
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let fromRgb: [number, number, number];
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try {
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//@ts-ignore
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fromRgb = Color(fromColor).rgb().array();
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} catch (err) {
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return;
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}
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const processImage = async (
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file: File,
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fromColor: [number, number, number],
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similarity: number
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let fromRgb: [number, number, number];
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try {
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//@ts-ignore
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fromRgb = Color(fromColor).rgb().array();
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} catch (err) {
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return;
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}
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const processImage = async (
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file: File,
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fromColor: [number, number, number],
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similarity: number
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) => {
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const canvas = document.createElement('canvas');
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const ctx = canvas.getContext('2d');
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if (ctx == null) return;
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const img = new Image();
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img.src = URL.createObjectURL(file);
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await img.decode();
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canvas.width = img.width;
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canvas.height = img.height;
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ctx.drawImage(img, 0, 0);
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const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
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const data: Uint8ClampedArray = imageData.data;
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const colorDistance = (
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c1: [number, number, number],
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c2: [number, number, number]
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) => {
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const canvas = document.createElement('canvas');
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const ctx = canvas.getContext('2d');
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if (ctx == null) return;
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const img = new Image();
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img.src = URL.createObjectURL(file);
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await img.decode();
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canvas.width = img.width;
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canvas.height = img.height;
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ctx.drawImage(img, 0, 0);
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const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
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const data: Uint8ClampedArray = imageData.data;
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const colorDistance = (
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c1: [number, number, number],
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c2: [number, number, number]
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) => {
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return Math.sqrt(
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Math.pow(c1[0] - c2[0], 2) +
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Math.pow(c1[1] - c2[1], 2) +
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Math.pow(c1[2] - c2[2], 2)
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);
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};
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const maxColorDistance = Math.sqrt(
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Math.pow(255, 2) + Math.pow(255, 2) + Math.pow(255, 2)
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return Math.sqrt(
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Math.pow(c1[0] - c2[0], 2) +
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Math.pow(c1[1] - c2[1], 2) +
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Math.pow(c1[2] - c2[2], 2)
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);
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const similarityThreshold = (similarity / 100) * maxColorDistance;
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for (let i = 0; i < data.length; i += 4) {
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const currentColor: [number, number, number] = [
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data[i],
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data[i + 1],
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data[i + 2]
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];
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if (colorDistance(currentColor, fromColor) <= similarityThreshold) {
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data[i + 3] = 0; // Set alpha to 0 (transparent)
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}
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}
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ctx.putImageData(imageData, 0, 0);
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canvas.toBlob((blob) => {
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if (blob) {
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const newFile = new File([blob], file.name, { type: 'image/png' });
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setResult(newFile);
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}
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}, 'image/png');
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};
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const maxColorDistance = Math.sqrt(
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Math.pow(255, 2) + Math.pow(255, 2) + Math.pow(255, 2)
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);
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const similarityThreshold = (similarity / 100) * maxColorDistance;
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processImage(input, fromRgb, Number(similarity));
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}, [input, fromColor]);
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for (let i = 0; i < data.length; i += 4) {
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const currentColor: [number, number, number] = [
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data[i],
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data[i + 1],
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data[i + 2]
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];
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if (colorDistance(currentColor, fromColor) <= similarityThreshold) {
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data[i + 3] = 0; // Set alpha to 0 (transparent)
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}
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}
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return null;
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ctx.putImageData(imageData, 0, 0);
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canvas.toBlob((blob) => {
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if (blob) {
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const newFile = new File([blob], file.name, { type: 'image/png' });
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setResult(newFile);
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}
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}, 'image/png');
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};
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processImage(input, fromRgb, Number(similarity));
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};
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return (
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@@ -115,42 +108,33 @@ export default function ChangeColorsInPng() {
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/>
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}
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/>
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<ToolOptions>
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<Formik
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initialValues={initialValues}
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validationSchema={validationSchema}
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onSubmit={() => {}}
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>
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{({ setFieldValue, values }) => (
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<Box>
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{input && <FormikListenerComponent input={input} />}
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<ToolOptionGroups
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groups={[
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{
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title: 'From color and similarity',
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component: (
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<Box>
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<ColorSelector
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value={values.fromColor}
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onChange={(val) => setFieldValue('fromColor', val)}
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description={'Replace this color (from color)'}
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/>
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<TextFieldWithDesc
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value={values.similarity}
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onChange={(val) => setFieldValue('similarity', val)}
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description={
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'Match this % of similar colors of the from color. For example, 10% white will match white and a little bit of gray.'
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}
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/>
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</Box>
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)
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<ToolOptions
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compute={compute}
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getGroups={({ values, setFieldValue }) => [
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{
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title: 'From color and similarity',
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component: (
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<Box>
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<ColorSelector
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value={values.fromColor}
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onChange={(val) => setFieldValue('fromColor', val)}
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description={'Replace this color (from color)'}
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/>
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<TextFieldWithDesc
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value={values.similarity}
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onChange={(val) => setFieldValue('similarity', val)}
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description={
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'Match this % of similar colors of the from color. For example, 10% white will match white and a little bit of gray.'
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}
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]}
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/>
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</Box>
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)}
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</Formik>
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</ToolOptions>
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/>
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</Box>
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)
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}
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]}
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initialValues={initialValues}
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input={input}
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validationSchema={validationSchema}
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/>
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</Box>
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);
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}
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