我有一个巨大的Ascii文本,表示像ASCII-art这样的位图。现在我正在寻找像倒置Ascii艺术发电机的东西。我喜欢将每个角色转换为彩色像素。 有没有可以像这样的免费工具?
更新: 我使用下面的代码编写了这个小工具,它在线:http://www.webspice.eu/ascii2png/
答案 0 :(得分:2)
您没有使用特定编程语言的标记。因此,Mathematica去..
我使用Rasterize
将字母转换为字母图像。然后我可以用ImageData
提取像素矩阵。所有像素的Mean
是计算字母最终像素值的一种可能性。把它放到一个记忆像素值的函数中,这样我们就不必一遍又一遍地计算:
toPixel[c_String] := toPixel[c] = Mean[Flatten[ImageData[Rasterize[
Style[c, 30, FontFamily -> "Courier"], "Image", ColorSpace -> "Grayscale"]]]]
现在您可以将字符串拆分为行,然后将其应用于每个字符。填充结果列表以再次获得完整矩阵后,您将获得图像
data = toPixel /@ Characters[#] & /@ StringSplit[text, "\n"];
Image@(PadRight[#, 40, 1] & /@ data) // ImageAdjust
本文
,i!!!!!!;,
.,;i!!!!!'`,uu,o$$bo.
!!!!!!!'.e$$$$$$$$$$$$$$.
!!!!!!! $$$$$$$$$$$$$$$$$P
!!!!!!!,`$$$$$$$$P""`,,`"
i!!!!!!!!,$$$$",oed$$$$$$
!!!!!!!!!'P".,e$$$$$$$$"'?
`!!!!!!!! z$'J$$$$$'.,$bd$b,
`!!!!!!f;$'d$$$$$$$$$$$$$P',c,.
!!!!!! $B,"?$$$$$P',uggg$$$$$P"
!!!!!!.$$$$be."'zd$$$P".,uooe$$r
`!!!',$$$$$$$$$c,"",ud$$$$$$$$$L
!! $$$$$$$$$$$$$$$$$$$$$$$$$$$$$
!'j$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
d@@,?$$$$$$$$$$$$$$$$$$$$$$$$$$$$P
?@@f:$$$$$$$$$$$$$$$$$$$$$$$$$$$'
"" `$$$$$$$$$$$$$$$$$$$$$$$$$$F
`3$$$$$$$$$$$$$$$$$$$$$$F
`"$$$$$P?$$$$$$$"`
`""
我们得到了
答案 1 :(得分:0)
我只使用image-gd库编写了一个非常简单的php脚本。它读取来自textarea公式的文本,并使用Ascii-Value和一些乘数函数为字符分配颜色,以使近邻Ascii之间的颜色差异如“a”和“b”可见。现在它只适用于已知的文本大小。
<?php
if(isset($_POST['text'])){
//in my case known size of text is 204*204, add your own size here:
asciiToPng(204,204,$_POST['text']);
}else{
$out = "<form name ='textform' action='' method='post'>";
$out .= "<textarea type='textarea' cols='100' rows='100' name='text' value='' placeholder='Asciitext here'></textarea><br/>";
$out .= "<input type='submit' name='submit' value='create image'>";
$out .= "</form>";
echo $out;
}
function asciiToPng($image_width, $image_height, $text)
{
// first: lets type cast;
$image_width = (integer)$image_width;
$image_height = (integer)$image_height;
$text = (string)$text;
// create a image
$image = imagecreatetruecolor($image_width, $image_height);
$black = imagecolorallocate($image, 0, 0, 0);
$x = 0;
$y = 0;
for ($i = 0; $i < strlen($text)-1; $i++) {
//assign some more or less random colors, math functions are just to make a visible difference e.g. between "a" and "b"
$r = pow(ord($text{$i}),4) % 255;
$g = pow(ord($text{$i}),3) % 255;
$b = ord($text{$i})*2 % 255;
$color = ImageColorAllocate($image, $r, $g, $b);
//assign random color or predefined color to special chars ans draw pixel
if($text{$i}!='#'){
imagesetpixel($image, $x, $y, $color);
}else{
imagesetpixel($image, $x, $y, $black);
}
$x++;
if($text{$i}=="\n"){
$x = 0;
$y++;
}
}
// show image, free memory
header('Content-type: image/png');
ImagePNG($image);
imagedestroy($image);
}
?>
您可以在此处找到在线工作工具:http://www.webspice.eu/ascii2png/
答案 2 :(得分:0)
假设我们有组成 ASCII 图像的字符的密度比例,因此我们可以从中恢复灰度位图。并且假设每个字符占据21×8
像素的区域,所以在恢复的时候,我们要放大图片。
ASCII 文本 (image.txt):
***************************************
***************************************
*************o/xiz|{,/1ctx*************
************77L*```````*_1{j***********
**********?i```````````````FZ**********
**********l`````````````````7**********
**********x`````````````````L**********
**********m?i`````````````iz1**********
************]x```````````\x{***********
********?1w]c>```````````La{]}r********
******jSF~```````````````````^xv>******
*****l1,```````````````````````*Sj*****
****7t```````````````````````````v7****
***uL`````````````````````````````t]***
ASCII 图片(截图):
恢复图片:
这段代码读取一个文本文件,从字符密度中获得一个亮度值,从中创建灰度颜色,在高度和宽度上重复每种颜色 21 次,然后将图片保存为灰度位图。
>不缩放scH=1
和scW=1
,像素数等于原始文本文件中的字符数。
class ASCIIArtToImage {
int width = 0, height = 0;
ArrayList<String> text;
BufferedImage image;
public static void main(String[] args) throws IOException {
ASCIIArtToImage converter = new ASCIIArtToImage();
converter.readText("/tmp/image.txt");
converter.restoreImage(21, 8);
ImageIO.write(converter.image, "jpg", new File("/tmp/image.jpg"));
}
public void readText(String path) throws IOException {
BufferedReader bufferedReader = new BufferedReader(new FileReader(path));
this.text = new ArrayList<>();
String line;
while ((line = bufferedReader.readLine()) != null) {
this.width = Math.max(this.width, line.length());
this.text.add(line);
}
this.height = this.text.size();
}
public void restoreImage(int scH, int scW) {
this.image = new BufferedImage( // BufferedImage.TYPE_BYTE_GRAY
this.width * scW, this.height * scH, BufferedImage.TYPE_INT_RGB);
for (int i = 0; i < this.height; i++) {
for (int j = 0; j < this.width; j++) {
// obtaining a brightness value depending on the character density
int val = getBrightness(this.text.get(i).charAt(j));
Color color = new Color(val, val, val);
// scaling up the image
for (int k = 0; k < scH; k++)
for (int p = 0; p < scW; p++)
this.image.setRGB(j * scW + p, i * scH + k, color.getRGB());
}
}
}
static final String DENSITY =
"@QB#NgWM8RDHdOKq9$6khEPXwmeZaoS2yjufF]}{tx1zv7lciL/\\|?*>r^;:_\"~,'.-`";
static int getBrightness(char ch) {
// Since we don't have 255 characters, we have to use percentages
int val = (int) Math.round(DENSITY.indexOf(ch) * 255.0 / DENSITY.length());
val = Math.max(val, 0);
val = Math.min(val, 255);
return val;
}
}