1 files changed, 0 insertions, 146 deletions
diff --git a/cmd/splittable/main.go b/cmd/splittable/main.go
deleted file mode 100644
index 3fc5ace..0000000
--- a/cmd/splittable/main.go
+++ /dev/null
@@ -1,146 +0,0 @@
-// Copyright 2020 Nick White.
-// Use of this source code is governed by the GPLv3
-// license that can be found in the LICENSE file.
-
-// splittable is an experimental program to split a table into
-// individual cells suitable for OCR
-package main
-
-import (
-	"flag"
-	"fmt"
-	"image"
-	"image/draw"
-	_ "image/jpeg"
-	"image/png"
-	"log"
-	"os"
-
-	"rescribe.xyz/integralimg"
-)
-
-const usage = `Usage: splittable [-t thresh] [-w winsize] inimg outbase
-
-splittable is an experimental program to split a table into individual
-cells suitable for OCR. It does this by detecting lines. At present it
-just detects vertical lines and outputs images for each section
-between those lines.
-
-`
-
-// returns the proportion of the given window that is black pixels
-func proportion(i integralimg.Image, x int, size int) float64 {
-	w := i.GetVerticalWindow(x, size)
-	return w.Proportion()
-}
-
-// findbestvline goes through every vertical line from x to x+w to
-// find the one with the lowest proportion of black pixels.
-func findbestvline(img integralimg.Image, x int, w int) int {
-	var bestx int
-	var best float64
-
-	if w == 1 {
-		return x
-	}
-
-	right := x + w
-	for ; x < right; x++ {
-		prop := proportion(img, x, 1)
-		if prop > best {
-			best = prop
-			bestx = x
-		}
-	}
-
-	return bestx
-}
-
-// findvlines finds vertical lines, returning an array of x coordinates
-// for each line. It works by moving a window of wsize across the image,
-// marking each place where there is a higher proportion of black pixels
-// than thresh.
-func findvlines(img integralimg.Image, wsize int, thresh float64) []int {
-	maxx := img.Bounds().Dx() - 1
-	var lines []int
-
-	for x := 0; x < maxx-wsize; x+=wsize {
-		if proportion(img, x, wsize) >= thresh {
-			l := findbestvline(img, x, wsize)
-			lines = append(lines, l)
-		}
-	}
-
-	return lines
-}
-
-func drawsection(img *image.Gray, x1 int, x2 int) *image.Gray {
-	b := img.Bounds()
-	width := x2-x1
-	new := image.NewGray(image.Rect(0, b.Min.Y, width, b.Max.Y))
-
-	for x := 0; x < width; x++ {
-		for y := b.Min.Y; y < b.Max.Y; y++ {
-			new.SetGray(x, y, img.GrayAt(x1 + x, y))
-		}
-	}
-
-	return new
-}
-
-func main() {
-	flag.Usage = func() {
-		fmt.Fprintf(flag.CommandLine.Output(), usage)
-		flag.PrintDefaults()
-	}
-	thresh := flag.Float64("t", 0.85, "Threshold for the proportion of black pixels below which a window is determined to be a line. Higher means fewer lines will be found.")
-	wsize := flag.Int("w", 1, "Window size for mask finding algorithm.")
-	flag.Parse()
-	if flag.NArg() < 2 {
-		flag.Usage()
-		os.Exit(1)
-	}
-
-	f, err := os.Open(flag.Arg(0))
-	defer f.Close()
-	if err != nil {
-		log.Fatalf("Could not open file %s: %v\n", flag.Arg(0), err)
-	}
-	img, _, err := image.Decode(f)
-	if err != nil {
-		log.Fatalf("Could not decode image: %v\n", err)
-	}
-	b := img.Bounds()
-	gray := image.NewGray(image.Rect(0, 0, b.Dx(), b.Dy()))
-	draw.Draw(gray, b, img, b.Min, draw.Src)
-
-	integral := integralimg.NewImage(b)
-	draw.Draw(integral, b, gray, b.Min, draw.Src)
-	vlines := findvlines(*integral, *wsize, *thresh)
-
-	for i, v := range vlines {
-		fmt.Printf("line detected at x=%d\n", v)
-
-		if i+1 >= len(vlines) {
-			break
-		}
-		section := drawsection(gray, v, vlines[i+1])
-
-		fn := fmt.Sprintf("%s-%d.png", flag.Arg(1), v)
-		f, err = os.Create(fn)
-		if err != nil {
-			log.Fatalf("Could not create file %s: %v\n", fn, err)
-		}
-		defer f.Close()
-		err := png.Encode(f, section)
-		if err != nil {
-			log.Fatalf("Could not encode image %s: %v\n", fn, err)
-		}
-	}
-
-
-	// TODO: find horizontal lines too
-	// TODO: do rotation
-	// TODO: output table cells
-	// TODO: potentially send cells straight to tesseract
-}