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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,131 @@ | ||
| import { | ||
| convertToBlackAndWhite, | ||
| edgeDetection, | ||
| imageDataToCanvas, | ||
| } from '@genshin-optimizer/img-util' | ||
|
|
||
| interface Point { | ||
| x: number | ||
| y: number | ||
| } | ||
| interface Rectangle { | ||
| topLeft: Point | ||
| bottomRight: Point | ||
| } | ||
| type artifactPredictorResult = { | ||
| artifactImageData: ImageData | ||
| debugImgs: Record<string, string> | ||
| } | ||
|
|
||
| export function artifactBoxPredictor( | ||
| imageData: ImageData | ||
| ): artifactPredictorResult { | ||
| const debugImgs = {} as Record<string, string> | ||
|
|
||
| imageData = | ||
| imageData.width > imageData.height | ||
| ? boxPredictor(imageData, debugImgs) | ||
| : imageData | ||
|
|
||
| return { | ||
| artifactImageData: imageData, | ||
| debugImgs: debugImgs, | ||
| } | ||
| } | ||
|
|
||
| function boxPredictor( | ||
| imageData: ImageData, | ||
| debugImgs: Record<string, string> | ||
| ): ImageData { | ||
| const edgeDetectedImageData = edgeDetection(imageData) | ||
|
|
||
| debugImgs['Edge Detection Full Screen'] = imageDataToCanvas( | ||
| edgeDetectedImageData | ||
| ).toDataURL() | ||
|
|
||
| const bwEdgeData = convertToBlackAndWhite( | ||
| new ImageData( | ||
| new Uint8ClampedArray(edgeDetectedImageData.data), | ||
| edgeDetectedImageData.width, | ||
| edgeDetectedImageData.height | ||
| ) | ||
| ) | ||
|
|
||
| const { topLeft, bottomRight } = findLargestRectangle(bwEdgeData) | ||
|
|
||
| const canvas = document.createElement('canvas') | ||
| const context = canvas.getContext('2d')! | ||
| const width = bottomRight.x - topLeft.x + 1 | ||
| const height = bottomRight.y - topLeft.y + 1 | ||
|
|
||
| canvas.width = width | ||
| canvas.height = height | ||
|
|
||
| context.drawImage( | ||
| imageDataToCanvas(imageData), | ||
| topLeft.x, | ||
| topLeft.y, | ||
| width, | ||
| height, | ||
| 0, | ||
| 0, | ||
| width, | ||
| height | ||
| ) | ||
|
|
||
| const largestRectangleImageData = context.getImageData(0, 0, width, height) | ||
| debugImgs['Largest Rectangle'] = canvas.toDataURL() | ||
|
|
||
| return largestRectangleImageData | ||
| } | ||
|
|
||
| function findLargestRectangle(imageData: ImageData): Rectangle { | ||
| const width = imageData.width | ||
| const height = imageData.height | ||
| const data = imageData.data | ||
|
|
||
| let maxArea = 0 | ||
| let maxRectangle: Rectangle = { | ||
| topLeft: { x: 0, y: 0 }, | ||
| bottomRight: { x: 0, y: 0 }, | ||
| } | ||
|
|
||
| function isWhite(x: number, y: number): boolean { | ||
| const pixelIndex = (y * width + x) * 4 | ||
| return data[pixelIndex] === 255 | ||
| } | ||
|
|
||
| function expandFromPoint(x: number, y: number): Rectangle { | ||
| let left = x | ||
| let right = x | ||
| let top = y | ||
| let bottom = y | ||
|
|
||
| while (left > 0 && isWhite(left - 1, y)) left-- | ||
| while (right < width - 1 && isWhite(right + 1, y)) right++ | ||
| while (top > 0 && isWhite(x, top - 1)) top-- | ||
| while (bottom < height - 1 && isWhite(x, bottom + 1)) bottom++ | ||
|
|
||
| return { | ||
| topLeft: { x: left, y: top }, | ||
| bottomRight: { x: right, y: bottom }, | ||
| } | ||
| } | ||
|
|
||
| for (let y = 0; y < height; y++) { | ||
| for (let x = 0; x < width; x++) { | ||
| if (isWhite(x, y)) { | ||
| const rectangle = expandFromPoint(x, y) | ||
| const area = | ||
| (rectangle.bottomRight.x - rectangle.topLeft.x + 1) * | ||
| (rectangle.bottomRight.y - rectangle.topLeft.y + 1) | ||
| if (area > maxArea) { | ||
| maxArea = area | ||
| maxRectangle = rectangle | ||
| } | ||
| } | ||
| } | ||
| } | ||
|
|
||
| return maxRectangle | ||
| } |
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