ollama/model/pixtral/imageproc.go
Patrick Devine 8c9fb8eb73
imageproc mllama refactor (#7537)
Refactor mllama image processing code, and add pixtral and qwen2vl
2024-12-14 19:50:15 -08:00

69 lines
1.6 KiB
Go

package pixtral
import (
"fmt"
"image"
_ "image/jpeg"
_ "image/png"
"io"
"math"
"github.com/ollama/ollama/model/imageproc"
)
func getNumImageTokens(imageSize, patchSize image.Point) image.Point {
return image.Point{
(imageSize.X-1)/patchSize.X + 1,
(imageSize.Y-1)/patchSize.Y + 1,
}
}
func getResizeOutputImageSize(img image.Image, longestEdge int, patchSize image.Point) image.Point {
b := img.Bounds()
le := float64(longestEdge)
ratio := math.Max(float64(b.Max.Y)/le, float64(b.Max.X)/le)
newSize := img.Bounds().Max
if ratio > 1.0 {
newSize = image.Point{
int(math.Ceil(float64(b.Max.X) / ratio)),
int(math.Ceil(float64(b.Max.Y) / ratio)),
}
}
tokens := getNumImageTokens(newSize, patchSize)
return image.Point{
tokens.X * patchSize.X,
tokens.Y * patchSize.Y,
}
}
func resizeImage(img image.Image, format string, longestEdge int, patchSize image.Point) image.Image {
if format == "png" {
img = imageproc.Composite(img)
}
newSize := getResizeOutputImageSize(img, longestEdge, patchSize)
// todo should be ResizeBicubic, but it doesn't exist
return imageproc.Resize(img, newSize, imageproc.ResizeBilinear)
}
func Preprocess(imageData io.Reader) ([]float32, map[string]any, error) {
img, format, err := image.Decode(imageData)
if err != nil {
return nil, nil, fmt.Errorf("failed to decode image: %w", err)
}
longestEdge := 1024
patchSize := image.Point{16, 16}
img = resizeImage(img, format, longestEdge, patchSize)
data := imageproc.Normalize(img, imageproc.ClipDefaultMean, imageproc.ClipDefaultSTD, true, true)
opts := map[string]any{}
return data, opts, nil
}