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models: Move model into their own directory
This allows there to be a file that is a list of models that is not mixed into the runner code.
This commit is contained in:
201
model/models/mllama/imageproc.go
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201
model/models/mllama/imageproc.go
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@@ -0,0 +1,201 @@
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package mllama
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import (
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"fmt"
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"image"
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_ "image/jpeg"
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_ "image/png"
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"io"
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"math"
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"slices"
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"golang.org/x/image/draw"
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"github.com/ollama/ollama/model/imageproc"
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)
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func getSupportedAspectRatios(maxTiles int) []image.Point {
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ratios := []image.Point{}
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for w := range maxTiles {
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for h := range maxTiles {
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if (w+1)*(h+1) <= maxTiles {
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ratios = append(ratios, image.Point{w + 1, h + 1})
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}
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}
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}
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return ratios
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}
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func clip(a, a_min, a_max int) int {
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if a < a_min {
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return a_min
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} else if a > a_max {
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return a_max
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}
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return a
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}
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func getOptimalTiledCanvas(imageSize image.Point, maxImageTiles, tileSize int) image.Point {
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possibleTileArrangements := getSupportedAspectRatios(maxImageTiles)
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possibleCanvasSizes := []image.Point{}
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for _, pta := range possibleTileArrangements {
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possibleCanvasSizes = append(possibleCanvasSizes, image.Point{pta.X * tileSize, pta.Y * tileSize})
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}
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scales := []float64{}
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for _, pcs := range possibleCanvasSizes {
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scaleHeight := float64(pcs.Y) / float64(imageSize.Y)
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scaleWidth := float64(pcs.X) / float64(imageSize.X)
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if scaleWidth > scaleHeight {
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scales = append(scales, scaleHeight)
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} else {
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scales = append(scales, scaleWidth)
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}
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}
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var minUpscale float64
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var maxDownscale float64
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var upscale bool
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for _, s := range scales {
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if s > 1.0 {
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upscale = true
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if minUpscale == 0 {
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minUpscale = s
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} else {
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minUpscale = math.Min(minUpscale, s)
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}
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} else {
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maxDownscale = math.Max(maxDownscale, s)
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}
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}
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selectedScale := maxDownscale
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if upscale {
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selectedScale = minUpscale
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}
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var selectedCanvas image.Point
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for n, pcs := range possibleCanvasSizes {
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if scales[n] == selectedScale {
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// choose the smallest possible canvas
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if selectedCanvas.X == 0 && selectedCanvas.Y == 0 {
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selectedCanvas = pcs
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} else if pcs.X*pcs.Y < selectedCanvas.X*selectedCanvas.Y {
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selectedCanvas = pcs
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}
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}
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}
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return selectedCanvas
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}
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func getImageSizeFitToCanvas(imageSize, canvasSize image.Point, tileSize int) image.Point {
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targetWidth := clip(imageSize.X, tileSize, canvasSize.X)
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targetHeight := clip(imageSize.Y, tileSize, canvasSize.Y)
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scaleWidth := float64(targetWidth) / float64(imageSize.X)
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scaleHeight := float64(targetHeight) / float64(imageSize.Y)
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var w, h int
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if scaleWidth < scaleHeight {
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w = targetWidth
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h = min(int(math.Floor(float64(imageSize.Y)*scaleWidth)), targetHeight)
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} else {
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w = min(int(math.Floor(float64(imageSize.X)*scaleHeight)), targetWidth)
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h = targetHeight
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}
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return image.Point{w, h}
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}
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func resizeImage(img image.Image, format string, outputSize image.Point, maxImageTiles int) (image.Image, image.Point) {
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if format == "png" {
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img = imageproc.Composite(img)
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}
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b := img.Bounds()
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tileSize := outputSize.Y
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canvasSize := getOptimalTiledCanvas(b.Max, maxImageTiles, tileSize)
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aspectRatio := image.Point{canvasSize.X / tileSize, canvasSize.Y / tileSize}
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newSize := getImageSizeFitToCanvas(b.Max, canvasSize, tileSize)
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return imageproc.Resize(img, newSize, imageproc.ResizeBilinear), aspectRatio
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}
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func padImage(img image.Image, outputSize, aspectRatio image.Point) image.Image {
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paddedSize := image.Point{
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X: outputSize.X * aspectRatio.X,
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Y: outputSize.Y * aspectRatio.Y,
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}
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dst := image.NewRGBA(image.Rect(0, 0, paddedSize.X, paddedSize.Y))
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draw.Draw(dst, img.Bounds(), img, image.Point{0, 0}, draw.Over)
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return dst
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}
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func splitToTiles(img image.Image, numTilesSize image.Point) []image.Image {
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b := img.Bounds()
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width := b.Max.X - b.Min.X
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height := b.Max.Y - b.Min.Y
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tileHeight := height / numTilesSize.Y
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tileWidth := width / numTilesSize.X
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images := []image.Image{}
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for h := range numTilesSize.Y {
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for w := range numTilesSize.X {
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rect := image.Rect(tileWidth*w, tileHeight*h, tileWidth*(w+1), tileHeight*(h+1))
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images = append(images, img.(interface {
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SubImage(image.Rectangle) image.Image
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}).SubImage(rect))
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}
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}
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return images
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}
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func packImages(img image.Image, aspectRatio image.Point) []float32 {
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subImages := splitToTiles(img, aspectRatio)
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var pixelVals []float32
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rescale := true
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channelFirst := true
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for _, subImg := range subImages {
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vals := imageproc.Normalize(subImg, imageproc.ClipDefaultMean, imageproc.ClipDefaultSTD, rescale, channelFirst)
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pixelVals = append(pixelVals, vals...)
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}
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return pixelVals
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}
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func Preprocess(imageData io.Reader) ([]float32, map[string]any, error) {
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outputSize := image.Point{560, 560}
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maxTiles := 4
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img, format, err := image.Decode(imageData)
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if err != nil {
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return nil, nil, fmt.Errorf("failed to decode image: %w", err)
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}
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newImage, aspectRatio := resizeImage(img, format, outputSize, maxTiles)
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newImage = padImage(newImage, outputSize, aspectRatio)
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data := packImages(newImage, aspectRatio)
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aspectRatioIndex := slices.Index(getSupportedAspectRatios(maxTiles), aspectRatio) + 1
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opts := map[string]any{
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"aspectRatioIndex": aspectRatioIndex,
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}
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return data, opts, nil
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}
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