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https://github.com/Dadido3/noita-mapcap.git
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Remove cleanup mode from stitcher
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@ -32,9 +32,9 @@ example list of files:
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A downscaling factor. 2 will produce an image with half the side lengths. Defaults to 1.
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- `input string`
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The source path of the image tiles to be stitched. Defaults to "./..//..//output")
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- `entities`
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- `entities string`
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The path to the `entities.json` file. This contains Noita specific entity data. Defaults to "./../../output/entities.json".
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- `player-path`
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- `player-path string`
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The path to the player-path.json file. This contains the tracked path of the player. Defaults to "./../../output/player-path.json".
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- `output string`
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The path and filename of the resulting stitched image. Defaults to "output.png".
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@ -46,8 +46,6 @@ example list of files:
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Lower bound of the output rectangle. This coordinate is not included in the output.
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- `ymin int`
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Upper bound of the output rectangle. This coordinate is included in the output.
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- `cleanup float`
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Enables cleanup mode with the given float as threshold. This will **DELETE** images from the input folder; no stitching will be done in this mode. A good value to start with is `0.999`, which deletes images where the sum of the min-max difference of each sub-pixel overlapping with other images is less than 99.9%% of the maximum possible sum of pixel differences.
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To output the 100x100 area that is centered at the origin use:
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@ -55,12 +53,6 @@ To output the 100x100 area that is centered at the origin use:
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./stitch -divide 1 -xmin -50 -xmax 50 -ymin -50 -ymax 50
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```
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To remove images that would cause artifacts (You should recapture the deleted images afterwards):
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``` Shell Session
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./stitch -cleanup 0.999
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```
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To enter the parameters inside of the program:
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``` Shell Session
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@ -31,8 +31,6 @@ type ImageTile struct {
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image image.Image // Either a rectangle or an RGBA image. The bounds of this image are determined by the filename.
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imageMutex *sync.RWMutex //
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imageUsedFlag bool // Flag signalling, that the image was used recently.
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pixelErrorSum uint64 // Sum of the difference between the (sub)pixels of all overlapping images. 0 Means that all overlapping images are identical.
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}
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// NewImageTile returns an image tile object that represents the image at the given path.
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@ -7,12 +7,7 @@ package main
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import (
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"fmt"
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"image"
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"path/filepath"
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"runtime"
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"sync"
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"github.com/cheggaaa/pb/v3"
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)
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// LoadImageTiles "loads" all images in the directory at the given path.
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@ -39,124 +34,3 @@ func LoadImageTiles(path string, scaleDivider int) ([]ImageTile, error) {
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return imageTiles, nil
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}
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// Compare takes a list of tiles and compares them pixel by pixel.
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// The resulting pixel difference sum is stored in each tile.
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func Compare(tiles []ImageTile, bounds image.Rectangle) error {
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intersectTiles := []*ImageTile{}
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images := []*image.RGBA{}
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// Get only the tiles that intersect with the bounds.
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// Ignore alignment here, doesn't matter if an image overlaps a few pixels anyways.
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for i, tile := range tiles {
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if tile.Bounds().Overlaps(bounds) {
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tilePtr := &tiles[i]
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img := tilePtr.GetImage()
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if img == nil {
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continue
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}
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intersectTiles = append(intersectTiles, tilePtr)
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imgCopy := *img
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//imgCopy.Rect = imgCopy.Rect
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images = append(images, &imgCopy)
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}
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}
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tempTilesEmpty := make([]*ImageTile, 0, len(intersectTiles))
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for iy := bounds.Min.Y; iy < bounds.Max.Y; iy++ {
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for ix := bounds.Min.X; ix < bounds.Max.X; ix++ {
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var rMin, rMax, gMin, gMax, bMin, bMax uint8
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point := image.Point{ix, iy}
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found := false
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tempTiles := tempTilesEmpty
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// Iterate through all images and find min and max subpixel values.
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for i, img := range images {
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if point.In(img.Bounds()) {
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tempTiles = append(tempTiles, intersectTiles[i])
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col := img.RGBAAt(point.X, point.Y)
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if !found {
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found = true
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rMin, rMax, gMin, gMax, bMin, bMax = col.R, col.R, col.G, col.G, col.B, col.B
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} else {
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if rMin > col.R {
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rMin = col.R
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}
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if rMax < col.R {
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rMax = col.R
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}
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if gMin > col.G {
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gMin = col.G
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}
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if gMax < col.G {
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gMax = col.G
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}
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if bMin > col.B {
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bMin = col.B
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}
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if bMax < col.B {
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bMax = col.B
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}
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}
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}
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}
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// If there were no images to get data from, ignore the pixel.
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if !found {
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continue
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}
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// Write the error value back into the tiles (Only those that contain the point point)
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for _, tile := range tempTiles {
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tile.pixelErrorSum += uint64(rMax-rMin) + uint64(gMax-gMin) + uint64(bMax-bMin)
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}
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}
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}
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return nil
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}
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// CompareGrid calls Compare, but divides the workload into a grid of chunks.
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// Additionally it runs the workload multithreaded.
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func CompareGrid(tiles []ImageTile, bounds image.Rectangle, gridSize int, bar *pb.ProgressBar) (errResult error) {
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//workloads := gridifyRectangle(destImage.Bounds(), gridSize)
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workloads, err := hilbertifyRectangle(bounds, gridSize)
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if err != nil {
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return err
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}
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if bar != nil {
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bar.SetTotal(int64(len(workloads))).Start()
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}
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// Start worker threads
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wc := make(chan image.Rectangle)
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wg := sync.WaitGroup{}
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for i := 0; i < runtime.NumCPU()*2; i++ {
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wg.Add(1)
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go func() {
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defer wg.Done()
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for workload := range wc {
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if err := Compare(tiles, workload); err != nil {
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errResult = err // This will not stop execution, but at least one of any errors is returned.
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}
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if bar != nil {
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bar.Increment()
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}
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}
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}()
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}
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// Push workload to worker threads
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for _, workload := range workloads {
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wc <- workload
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}
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// Wait until all worker threads are done
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close(wc)
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wg.Wait()
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return
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}
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@ -29,7 +29,6 @@ var flagXMin = flag.Int("xmin", 0, "Left bound of the output rectangle. This coo
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var flagYMin = flag.Int("ymin", 0, "Upper bound of the output rectangle. This coordinate is included in the output.")
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var flagXMax = flag.Int("xmax", 0, "Right bound of the output rectangle. This coordinate is not included in the output.")
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var flagYMax = flag.Int("ymax", 0, "Lower bound of the output rectangle. This coordinate is not included in the output.")
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var flagCleanupThreshold = flag.Float64("cleanup", 0, "Enable cleanup mode with the given threshold. This will DELETE images from the input folder, no stitching will be done in this mode. A good value to start with is 0.999, which deletes images where the sum of the min-max difference of each sub-pixel overlapping with other images is less than 99.9%% of the maximum possible sum of pixel differences.")
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func main() {
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log.Printf("Noita MapCapture stitching tool v%s", version)
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@ -198,63 +197,6 @@ func main() {
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outputRect = image.Rect(xMin, yMin, xMax, yMax)
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}
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// Query the user, if there were no cmd arguments given.
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/*if flag.NFlag() == 0 {
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fmt.Println("\nYou can now define a cleanup threshold. This mode will DELETE input images based on their similarity with other overlapping input images. The range is from 0, where no images are deleted, to 1 where all images will be deleted. A good value to get rid of most artifacts is 0.999. If you enter a threshold above 0, the program will not stitch, but DELETE some of your input images. If you want to stitch, enter 0.")
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prompt := promptui.Prompt{
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Label: "Enter cleanup threshold:",
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Default: strconv.FormatFloat(*flagCleanupThreshold, 'f', -1, 64),
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AllowEdit: true,
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Validate: func(s string) error {
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result, err := strconv.ParseFloat(s, 64)
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if err != nil {
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return err
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}
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if result < 0 || result > 1 {
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return fmt.Errorf("Number %v outside of valid range [0;1]", result)
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}
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return nil
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},
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}
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result, err := prompt.Run()
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if err != nil {
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log.Panicf("Error while getting user input: %v", err)
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}
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*flagCleanupThreshold, err = strconv.ParseFloat(result, 64)
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if err != nil {
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log.Panicf("Error while parsing user input: %v", err)
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}
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}*/
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if *flagCleanupThreshold < 0 || *flagCleanupThreshold > 1 {
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log.Panicf("Cleanup threshold (%v) outside of valid range [0;1]", *flagCleanupThreshold)
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}
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if *flagCleanupThreshold > 0 {
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bar := pb.Full.New(0)
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log.Printf("Cleaning up %v tiles at %v", len(tiles), outputRect)
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if err := CompareGrid(tiles, outputRect, 512, bar); err != nil {
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log.Panic(err)
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}
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bar.Finish()
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for _, tile := range tiles {
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pixelErrorSumNormalized := float64(tile.pixelErrorSum) / float64(tile.Bounds().Size().X*tile.Bounds().Size().Y*3*255)
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if 1-pixelErrorSumNormalized <= *flagCleanupThreshold {
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os.Remove(tile.fileName)
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log.Printf("Tile %v has matching factor of %f. Deleted file!", &tile, 1-pixelErrorSumNormalized)
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} else {
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log.Printf("Tile %v has matching factor of %f", &tile, 1-pixelErrorSumNormalized)
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}
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}
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return
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}
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// Query the user, if there were no cmd arguments given.
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if flag.NFlag() == 0 {
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prompt := promptui.Prompt{
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@ -31,35 +31,6 @@ func getImageFileDimension(imagePath string) (int, int, error) {
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return image.Width, image.Height, nil
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}
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// getImageDifferenceValue returns the average quadratic difference of the (sub)pixels.
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// 0 means the images are identical, +inf means that the images don't intersect.
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func getImageDifferenceValue(a, b *image.RGBA, offsetA image.Point) float64 {
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intersection := a.Bounds().Add(offsetA).Intersect(b.Bounds())
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if intersection.Empty() {
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return math.Inf(1)
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}
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aSub := a.SubImage(intersection.Sub(offsetA)).(*image.RGBA)
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bSub := b.SubImage(intersection).(*image.RGBA)
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intersectionWidth := intersection.Dx() * 4
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intersectionHeight := intersection.Dy()
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var value int64
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for iy := 0; iy < intersectionHeight; iy++ {
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aSlice := aSub.Pix[iy*aSub.Stride : iy*aSub.Stride+intersectionWidth]
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bSlice := bSub.Pix[iy*bSub.Stride : iy*bSub.Stride+intersectionWidth]
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for ix := 0; ix < intersectionWidth; ix += 3 {
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diff := int64(aSlice[ix]) - int64(bSlice[ix])
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value += diff * diff
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}
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}
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return float64(value) / float64(intersectionWidth*intersectionHeight)
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}
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func gridifyRectangle(rect image.Rectangle, gridSize int) (result []image.Rectangle) {
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for y := divideFloor(rect.Min.Y, gridSize); y < divideCeil(rect.Max.Y, gridSize); y++ {
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for x := divideFloor(rect.Min.X, gridSize); x < divideCeil(rect.Max.X, gridSize); x++ {
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2
go.mod
2
go.mod
@ -11,7 +11,6 @@ require (
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github.com/nfnt/resize v0.0.0-20180221191011-83c6a9932646
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github.com/tdewolff/canvas v0.0.0-20220627195642-6566432f4b20
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golang.org/x/exp v0.0.0-20220713135740-79cabaa25d75
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golang.org/x/image v0.0.0-20220617043117-41969df76e82
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)
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require (
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@ -36,6 +35,7 @@ require (
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github.com/rivo/uniseg v0.2.0 // indirect
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github.com/tdewolff/minify/v2 v2.11.10 // indirect
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github.com/tdewolff/parse/v2 v2.6.0 // indirect
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golang.org/x/image v0.0.0-20220617043117-41969df76e82 // indirect
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golang.org/x/sys v0.0.0-20220715151400-c0bba94af5f8 // indirect
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golang.org/x/text v0.3.7 // indirect
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gopkg.in/yaml.v2 v2.4.0 // indirect
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