noita-mapcap/bin/stitch/stitch.go
David Vogel af890f4df1 Redo how the distribution artifact is created
- Add version information to the stitching tool
2022-07-16 23:22:18 +02:00

285 lines
8.3 KiB
Go

// Copyright (c) 2019-2022 David Vogel
//
// This software is released under the MIT License.
// https://opensource.org/licenses/MIT
package main
import (
"flag"
"fmt"
"image"
"image/png"
"log"
"os"
"path/filepath"
"sync"
"time"
"github.com/cheggaaa/pb/v3"
"github.com/manifoldco/promptui"
)
var flagInputPath = flag.String("input", filepath.Join(".", "..", "..", "output"), "The source path of the image tiles to be stitched.")
var flagOutputPath = flag.String("output", filepath.Join(".", "output.png"), "The path and filename of the resulting stitched image.")
var flagScaleDivider = flag.Int("divide", 1, "A downscaling factor. 2 will produce an image with half the side lengths.")
var flagXMin = flag.Int("xmin", 0, "Left bound of the output rectangle. This coordinate is included in the output.")
var flagYMin = flag.Int("ymin", 0, "Upper bound of the output rectangle. This coordinate is included in the output.")
var flagXMax = flag.Int("xmax", 0, "Right bound of the output rectangle. This coordinate is not included in the output.")
var flagYMax = flag.Int("ymax", 0, "Lower bound of the output rectangle. This coordinate is not included in the output.")
var flagPrerender = flag.Bool("prerender", false, "Pre renders the image in RAM before saving. Can speed things up if you have enough RAM.")
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.")
func main() {
log.Printf("Noita MapCapture stitching tool v%s", version)
flag.Parse()
// Query the user, if there were no cmd arguments given
if flag.NFlag() == 0 {
prompt := promptui.Prompt{
Label: "Enter downscaling factor:",
Default: fmt.Sprint(*flagScaleDivider),
AllowEdit: true,
Validate: func(s string) error {
var num int
_, err := fmt.Sscanf(s, "%d", &num)
if err != nil {
return err
}
if int(num) < 1 {
return fmt.Errorf("number must be larger than 0")
}
return nil
},
}
result, err := prompt.Run()
if err != nil {
log.Panicf("Error while getting user input: %v", err)
}
fmt.Sscanf(result, "%d", flagScaleDivider)
}
// Query the user, if there were no cmd arguments given
if flag.NFlag() == 0 {
prompt := promptui.Prompt{
Label: "Enter input path:",
Default: *flagInputPath,
AllowEdit: true,
}
result, err := prompt.Run()
if err != nil {
log.Panicf("Error while getting user input: %v", err)
}
*flagInputPath = result
}
log.Printf("Starting to read tile information at \"%v\"", *flagInputPath)
tiles, err := loadImages(*flagInputPath, *flagScaleDivider)
if err != nil {
log.Panic(err)
}
if len(tiles) == 0 {
log.Panicf("Got no tiles inside of %v", *flagInputPath)
}
log.Printf("Got %v tiles", len(tiles))
totalBounds := image.Rectangle{}
for i, tile := range tiles {
if i == 0 {
totalBounds = tile.Bounds()
} else {
totalBounds = totalBounds.Union(tile.Bounds())
}
}
log.Printf("Total size of the possible output space is %v", totalBounds)
/*profFile, err := os.Create("cpu.prof")
if err != nil {
log.Panicf("could not create CPU profile: %v", err)
}
defer profFile.Close()
if err := pprof.StartCPUProfile(profFile); err != nil {
log.Panicf("could not start CPU profile: %v", err)
}
defer pprof.StopCPUProfile()*/
// If the output rect is empty, use the rectangle that encloses all tiles
outputRect := image.Rect(*flagXMin, *flagYMin, *flagXMax, *flagYMax)
if outputRect.Empty() {
outputRect = totalBounds
}
// Query the user, if there were no cmd arguments given
if flag.NFlag() == 0 {
prompt := promptui.Prompt{
Label: "Enter output rectangle (xMin,yMin;xMax,yMax):",
Default: fmt.Sprintf("%d,%d;%d,%d", outputRect.Min.X, outputRect.Min.Y, outputRect.Max.X, outputRect.Max.Y),
AllowEdit: true,
Validate: func(s string) error {
var xMin, yMin, xMax, yMax int
_, err := fmt.Sscanf(s, "%d,%d;%d,%d", &xMin, &yMin, &xMax, &yMax)
if err != nil {
return err
}
rect := image.Rect(xMin, yMin, xMax, yMax)
if rect.Empty() {
return fmt.Errorf("rectangle must not be empty")
}
outputRect = rect
return nil
},
}
result, err := prompt.Run()
if err != nil {
log.Panicf("Error while getting user input: %v", err)
}
var xMin, yMin, xMax, yMax int
fmt.Sscanf(result, "%d,%d;%d,%d", &xMin, &yMin, &xMax, &yMax)
outputRect = image.Rect(xMin, yMin, xMax, yMax)
}
// Query the user, if there were no cmd arguments given
/*if flag.NFlag() == 0 {
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.")
prompt := promptui.Prompt{
Label: "Enter cleanup threshold:",
Default: strconv.FormatFloat(*flagCleanupThreshold, 'f', -1, 64),
AllowEdit: true,
Validate: func(s string) error {
result, err := strconv.ParseFloat(s, 64)
if err != nil {
return err
}
if result < 0 || result > 1 {
return fmt.Errorf("Number %v outside of valid range [0;1]", result)
}
return nil
},
}
result, err := prompt.Run()
if err != nil {
log.Panicf("Error while getting user input: %v", err)
}
*flagCleanupThreshold, err = strconv.ParseFloat(result, 64)
if err != nil {
log.Panicf("Error while parsing user input: %v", err)
}
}*/
if *flagCleanupThreshold < 0 || *flagCleanupThreshold > 1 {
log.Panicf("Cleanup threshold (%v) outside of valid range [0;1]", *flagCleanupThreshold)
}
if *flagCleanupThreshold > 0 {
bar := pb.Full.New(0)
log.Printf("Cleaning up %v tiles at %v", len(tiles), outputRect)
if err := CompareGrid(tiles, outputRect, 512, bar); err != nil {
log.Panic(err)
}
bar.Finish()
for _, tile := range tiles {
pixelErrorSumNormalized := float64(tile.pixelErrorSum) / float64(tile.Bounds().Size().X*tile.Bounds().Size().Y*3*255)
if 1-pixelErrorSumNormalized <= *flagCleanupThreshold {
os.Remove(tile.fileName)
log.Printf("Tile %v has matching factor of %f. Deleted file!", &tile, 1-pixelErrorSumNormalized)
} else {
log.Printf("Tile %v has matching factor of %f", &tile, 1-pixelErrorSumNormalized)
}
}
return
}
// Query the user, if there were no cmd arguments given
if flag.NFlag() == 0 {
prompt := promptui.Prompt{
Label: "Enter output filename and path:",
Default: *flagOutputPath,
AllowEdit: true,
}
result, err := prompt.Run()
if err != nil {
log.Panicf("Error while getting user input: %v", err)
}
*flagOutputPath = result
}
var outputImage image.Image
bar := pb.Full.New(0)
var wg sync.WaitGroup
done := make(chan bool)
if *flagPrerender {
log.Printf("Creating output image with a size of %v", outputRect.Size())
tempImage := image.NewRGBA(outputRect)
log.Printf("Stitching %v tiles into an image at %v", len(tiles), tempImage.Bounds())
if err := StitchGrid(tiles, tempImage, 512, bar); err != nil {
log.Panic(err)
}
bar.Finish()
outputImage = tempImage
} else {
tempImage := NewMedianBlendedImage(tiles, outputRect)
_, max := tempImage.Progress()
bar.SetTotal(int64(max)).Start().SetRefreshRate(1 * time.Second)
wg.Add(1)
go func() {
defer wg.Done()
ticker := time.NewTicker(1 * time.Second)
for {
select {
case <-done:
value, _ := tempImage.Progress()
bar.SetCurrent(int64(value))
bar.Finish()
return
case <-ticker.C:
value, _ := tempImage.Progress()
bar.SetCurrent(int64(value))
}
}
}()
outputImage = tempImage
}
log.Printf("Creating output file \"%v\"", *flagOutputPath)
f, err := os.Create(*flagOutputPath)
if err != nil {
log.Panic(err)
}
if err := png.Encode(f, outputImage); err != nil {
f.Close()
log.Panic(err)
}
if !*flagPrerender {
done <- true
wg.Wait()
}
if err := f.Close(); err != nil {
log.Panic(err)
}
log.Printf("Created output file \"%v\"", *flagOutputPath)
}