public void OptimizeDirectory(
RasterCodecs codecs,
string inputDirectory,
string outputDirectory,
ImageOptimizerOptions options,
string fileExtensions,
bool includeSubDirectories,
ImageOptimizerDirectory directoryCallback
)
codecs
The Leadtools.Codecs.RasterCodecs object used internally in the optimization operation to load an image and optimize it.
inputDirectory
A System.String that contains the full directory path to the images to be optimized.
outputDirectory
A System.String that contains the full directory path to be used when saving the optimized image(s).
options
The options used in the optimization process.
fileExtensions
A System.String that contains the extensions of the files to be optimized. For example:
includeSubDirectories
true to optimize sub-directories, false otherwise.
directoryCallback
Optional callback function that provides user information about the image(s) being optimized, such as the completion percentage for the current image being optimized, and the completion percentage for all files being optimized.
For more information, refer to Image Optimization Using The ImageOptimizer Class.
This example will optimize all Jpg files found in a specific directory, and save them into a separate folder
using Leadtools;
using Leadtools.Codecs;
using Leadtools.ImageOptimization;
int _imageNo;
public void TestDirImageOptimizer()
{
_imageNo = 0;
// Initialize the RasterCodecs class
RasterCodecs codecs = new RasterCodecs();
// The input and output directories
string inputDirectory = LEAD_VARS.ImagesDir;
string outputDirectory = Path.Combine(LEAD_VARS.ImagesDir, "OptimizedImages");
// Initialize a new Optimizer object
ImageOptimizer optimizer = new ImageOptimizer();
// Optimization Options
ImageOptimizerOptions options = ImageOptimizerOptions.Default;
optimizer.OptimizeDirectory(codecs,
inputDirectory,
outputDirectory,
options,
"*.jpg",
false,
ImageOptimizerDirectory);
//shutdown the RasterCodecs class.
}
bool ImageOptimizerDirectory(ImageOptimizerDirectoryData data)
{
Console.WriteLine(string.Format("File Percent = {0}%, Total Percent = {1}%", data.FilePercent, data.TotalPercent));
if (_imageNo == data.TotalFolderFilesCount)
{
// Operation Done.
Console.WriteLine("Optimization Operation Completed Successfully");
return true;
}
else if (data.Status == ImageOptimizerDirectoryStatus.PreOptimizingImage)
{
string text = string.Format("Optimizing Image {0} ?\n", data.InputFileName);
DialogResult result = MessageBox.Show(text, "", MessageBoxButtons.YesNoCancel);
if (result == DialogResult.Yes)
{
// Optimize the image using the default options.
data.Options = ImageOptimizerOptions.Default;
return true;
}
else if (result == DialogResult.No)
{
// Skip this image.
_imageNo++;
data.SkipImage = true;
}
else
// Stop the whole operation.
return false;
}
else if (data.FilePercent == 100)
{
_imageNo++;
// Displaying information about the optimized image.
string msg = string.Format("Optimizing File ( {0} of {1} ) \n" +
"--------------------------------\n" +
"Source File Name = {2}\n" +
"Detination File Name = {3}\n" +
"No of Pages = {4}\n",
_imageNo, data.TotalFolderFilesCount, data.InputFileName, data.OutputFileName, data.ImageInfo.TotalPages);
Console.WriteLine(msg);
}
return true;
}
static class LEAD_VARS
{
public const string ImagesDir = @"C:\LEADTOOLS23\Resources\Images";
}