/// <summary>
/// Reason : To get Image details from uploaded image
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void btnProcess_Click(object sender, EventArgs e)
{
try
{
if (!IsMediaFile(txtFilePath.Text.ToString().Trim(), imageExtensions))
{
MessageBox.Show("Please select valid Image file!!");
return;
}
DisposeControls();
ShowLoader();
pbImage.BringToFront();
string imagePath = txtFilePath.Text.ToString();
string imageContent = new ImageVideoProcessing.ImageGrabber().ExtractTextFromImage(imagePath);
txtResult.Text = string.IsNullOrEmpty(imageContent) ? "There is no text found in Image" : imageContent;
txtColors.Text = "\tImage contains following major colors: " + ParseColorList(new ImageVideoProcessing.ImageGrabber().GetImageColors(imagePath));
Cursor.Current = Cursors.AppStarting;
HideLoader();
}
catch (Exception)
{
}
}
/// <summary>
/// Get and save metadata of file
/// </summary>
/// <param name="filePath"></param>
/// <param name="appStartPath"></param>
public void SaveMetadataOfImage(string filePath, string appStartPath)
{
try
{
_blobWrapper = new DataUpload();
_faceDetection = new FaceDetection(appStartPath);
_imgGrabber = new ImageGrabber();
List <DataLayer.EntityModel.Image> imageList = new List <DataLayer.EntityModel.Image>();
String[] files = new string[1];
files[0] = filePath;
List <string> fileNameList = new List <string>();
fileNameList = GetUniqueImages(files.ToList());
foreach (var fileObj in fileNameList)
{
//Get metadata of file and save it
imageList.Add(GetImageMetadata(fileObj, appStartPath));
//Upload file to file to azure blob
_blobWrapper.UploadFile(fileObj);
}
new DataLayer.ModelClasses.Image().SaveUpdateMetadata(imageList);
}
catch (Exception)
{
throw;
}
}
/// <summary>
/// Get and save metadata of all files from input folder
/// </summary>
/// <param name="folderPath"></param>
/// <param name="appStartPath"></param>
public void SaveMetadataOfAllImages(string folderPath, string appStartPath)
{
try
{
_blobWrapper = new DataUpload();
_faceDetection = new FaceDetection(appStartPath);
_imgGrabber = new ImageGrabber();
DirectoryInfo directory = new DirectoryInfo(folderPath);
List <DataLayer.EntityModel.Image> imageList = new List <DataLayer.EntityModel.Image>();
String[] files = GetFilesFrom(folderPath, imageFilters, true);
List <string> fileNameList = new List <string>();
fileNameList = GetUniqueImages(files.ToList());
foreach (var fileObj in fileNameList)
{
//Get metadata of file and save it
imageList.Add(GetImageMetadata(fileObj, appStartPath));
//Upload file to file to azure blob
_blobWrapper.UploadFile(fileObj);
}
new DataLayer.ModelClasses.Image().SaveUpdateMetadata(imageList);
}
catch (Exception ex)
{
throw;
}
}
/// <summary>
/// Reason : To get Image details from uploaded image
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void btnProcess_Click(object sender, EventArgs e)
{
if (!IsMediaFile(txtFilePath.Text.ToString().Trim(), imageExtensions))
{
MessageBox.Show("Please select valid Image file!!");
return;
}
DisposeControls();
ShowLoader();
pbImage.BringToFront();
string imagePath = txtFilePath.Text.ToString();
string imageContent = new ImageVideoProcessing.ImageGrabber().ExtractTextFromImage(imagePath);
txtResult.Text = string.IsNullOrEmpty(imageContent) ? "There is no text found in Image" : imageContent;
txtColors.Text = "\tImage contains following major colors: " + ParseColorList(new ImageVideoProcessing.ImageGrabber().GetImageColors(imagePath));
Cursor.Current = Cursors.AppStarting;
HideLoader();
}
/// <summary>
/// Reason : To get all similar files from folder with percentage of similarity for selected file.
/// compare files from folder which are having length of file +- 100000 of original file.
/// </summary>
/// <param name="inputFilePath">Input file path of image</param>
/// <param name="length">Length of image file that varies to compare with another file</param>
/// <param name="percentageString"> returns percentage of similarities of matched images in string seperated by comma(,)</param>
public void GetAllSimilarImages(string inputFilePath, string appStartPath, double length, ref List <DuplicateImageDetails> duplicateImageList)
{
{
try
{
if (!File.Exists(inputFilePath))
{
return;
}
DuplicateImageDetails imgOriginalFile = new DuplicateImageDetails();
imgOriginalFile.FilePath = inputFilePath;
imgOriginalFile.FileName = inputFilePath.Contains("\\") ? inputFilePath.Split('\\')[inputFilePath.Split('\\').Count() - 1] : inputFilePath;
imgOriginalFile.Percentage = "Original Selected File";
duplicateImageList.Add(imgOriginalFile);
int count = 0;
FileInfo fileInfo = new FileInfo(inputFilePath);
DataLayer.EntityModel.Image metadataInputImgObj = new DataLayer.EntityModel.Image();
//Get metadata of input file
_faceDetection = new FaceDetection(appStartPath);
_imgGrabber = new ImageGrabber();
metadataInputImgObj = GetImageMetadata(inputFilePath, appStartPath);
var bestMatchImageList = new DataLayer.ModelClasses.Image().GetImagesByBestMatch(metadataInputImgObj);
// for Image similarity percentage need to compare both images
foreach (var infoObj in bestMatchImageList)
{
DuplicateImageDetails duplicateImageCheck = new DuplicateImageDetails();
duplicateImageCheck.FilePath = infoObj.ImagePath;
duplicateImageCheck.FileName = infoObj.ImagePath.Contains("\\") ? infoObj.ImagePath.Split('\\')[infoObj.ImagePath.Split('\\').Count() - 1] : infoObj.ImagePath;
duplicateImageCheck.Percentage = "";
duplicateImageList.Add(duplicateImageCheck);
count++;
}
}
catch (Exception)
{
}
}
}
/// <summary>
/// Reason : To get all similar files from folder with percentage of similarity for selected file.
/// compare files from folder which are having length of file +- 100000 of original file.
/// </summary>
/// <param name="inputFilePath">Input file path of image</param>
/// <param name="length">Length of image file that varies to compare with another file</param>
/// <param name="percentageString"> returns percentage of similarities of matched images in string seperated by comma(,)</param>
public void GetAllSimilarImages(string inputFilePath,string appStartPath, double length, ref List<DuplicateImageDetails> duplicateImageList)
{
{
try
{
DuplicateImageDetails imgOriginalFile = new DuplicateImageDetails();
imgOriginalFile.FilePath = inputFilePath;
imgOriginalFile.FileName = inputFilePath.Contains("\\") ? inputFilePath.Split('\\')[inputFilePath.Split('\\').Count() - 1] : inputFilePath;
imgOriginalFile.Percentage = "Original Selected File";
duplicateImageList.Add(imgOriginalFile);
int count = 0;
FileInfo fileInfo = new FileInfo(inputFilePath);
DataLayer.EntityModel.Image metadataInputImgObj = new DataLayer.EntityModel.Image();
//Get metadata of input file
_faceDetection = new FaceDetection(appStartPath);
_imgGrabber = new ImageGrabber();
metadataInputImgObj = GetImageMetadata(inputFilePath, appStartPath);
var bestMatchImageList = new DataLayer.ModelClasses.Image().GetImagesByBestMatch(metadataInputImgObj);
// for Image similarity percentage need to compare both images
foreach (var infoObj in bestMatchImageList)
{
DuplicateImageDetails duplicateImageCheck = new DuplicateImageDetails();
duplicateImageCheck.FilePath = infoObj.ImagePath;
duplicateImageCheck.FileName = infoObj.ImagePath.Contains("\\") ? infoObj.ImagePath.Split('\\')[infoObj.ImagePath.Split('\\').Count() - 1] : infoObj.ImagePath;
duplicateImageCheck.Percentage = "";
duplicateImageList.Add(duplicateImageCheck);
count++;
}
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
}
}
}
/// <summary>
/// Get and save metadata of file
/// </summary>
/// <param name="filePath"></param>
/// <param name="appStartPath"></param>
public void SaveMetadataOfImage(string filePath, string appStartPath)
{
try
{
_blobWrapper = new DataUpload();
_faceDetection = new FaceDetection(appStartPath);
_imgGrabber = new ImageGrabber();
List<DataLayer.EntityModel.Image> imageList = new List<DataLayer.EntityModel.Image>();
String[] files = new string[1];
files[0] = filePath;
List<string> fileNameList = new List<string>();
fileNameList = GetUniqueImages(files.ToList());
foreach (var fileObj in fileNameList)
{
//Get metadata of file and save it
imageList.Add(GetImageMetadata(fileObj, appStartPath));
//Upload file to file to azure blob
_blobWrapper.UploadFile(fileObj);
}
new DataLayer.ModelClasses.Image().SaveUpdateMetadata(imageList);
}
catch (Exception)
{
throw;
}
}
/// <summary>
/// Get and save metadata of all files from input folder
/// </summary>
/// <param name="folderPath"></param>
/// <param name="appStartPath"></param>
public void SaveMetadataOfAllImages(string folderPath, string appStartPath)
{
try
{
_blobWrapper = new DataUpload();
_faceDetection = new FaceDetection(appStartPath);
_imgGrabber = new ImageGrabber();
DirectoryInfo directory = new DirectoryInfo(folderPath);
List<DataLayer.EntityModel.Image> imageList = new List<DataLayer.EntityModel.Image>();
String[] files = GetFilesFrom(folderPath, imageFilters,true);
List<string> fileNameList = new List<string>();
fileNameList = GetUniqueImages(files.ToList());
foreach (var fileObj in fileNameList)
{
//Get metadata of file and save it
imageList.Add(GetImageMetadata(fileObj, appStartPath));
//Upload file to file to azure blob
_blobWrapper.UploadFile(fileObj);
}
new DataLayer.ModelClasses.Image().SaveUpdateMetadata(imageList);
}
catch (Exception ex)
{
throw;
}
}