/// <summary>
/// To get metadata of image
/// </summary>
/// <param name="imagePath"></param>
/// <param name="appStartPath"></param>
/// <returns>DataLayer.EntityModel.Image</returns>
public DataLayer.EntityModel.Image GetImageMetadata(string imagePath, string appStartPath)
{
int height = 0, width = 0, RedPercentage = 0, BluePercentage = 0, GreenPercentage = 0;
long length = 0;
DataLayer.EntityModel.Image imageObj = new DataLayer.EntityModel.Image();
//to get checksum
string checksume = GetChecksumMD5(imagePath);
//to get no of faces from image
int noOfFaces = _faceDetection.GetNoOfFacesFromImage(appStartPath, imagePath);
//to get metadata
_imgGrabber.GetImageMetadata(imagePath, ref height, ref width, ref length, ref RedPercentage, ref BluePercentage, ref GreenPercentage);
//to check image contains text or not
string imageContent = _imgGrabber.ExtractTextFromImage(imagePath);
imageContent = string.IsNullOrEmpty(imageContent) ? imageContent : imageContent.Replace("\r\n", "");
imageObj.RedPercentage = RedPercentage;
imageObj.GreenPercentage = GreenPercentage;
imageObj.BluePercentage = BluePercentage;
imageObj.Checksum = checksume;
imageObj.Height = height;
imageObj.Width = width;
imageObj.ImagePath = imagePath;
imageObj.IsImageContainsFace = noOfFaces > 0 ? true : false;
imageObj.IsImageContainsText = imageContent.Length > 0 ? true : false;
imageObj.Length = length;
imageObj.Name = imagePath.Contains("\\") ? imagePath.Split('\\')[imagePath.Split('\\').Count() - 1] : imagePath;
imageObj.FaceCount = noOfFaces;
imageObj.CreatedDatetime = DateTime.Now;
imageObj.IsDeleted = false;
imageObj.Description = imageContent;
return(imageObj);
}
/// <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>
/// To get metadata of image
/// </summary>
/// <param name="imagePath"></param>
/// <param name="appStartPath"></param>
/// <returns>DataLayer.EntityModel.Image</returns>
public DataLayer.EntityModel.Image GetImageMetadata(string imagePath, string appStartPath)
{
int height = 0, width = 0, RedPercentage = 0, BluePercentage = 0, GreenPercentage = 0;
long length = 0;
DataLayer.EntityModel.Image imageObj = new DataLayer.EntityModel.Image();
//to get checksum
string checksume = GetChecksumMD5(imagePath);
//to get no of faces from image
int noOfFaces = _faceDetection.GetNoOfFacesFromImage(appStartPath, imagePath);
//to get metadata
_imgGrabber.GetImageMetadata(imagePath, ref height, ref width, ref length, ref RedPercentage, ref BluePercentage, ref GreenPercentage);
//to check image contains text or not
string imageContent = _imgGrabber.ExtractTextFromImage(imagePath);
imageContent = string.IsNullOrEmpty(imageContent) ? imageContent : imageContent.Replace("\r\n", "");
imageObj.RedPercentage = RedPercentage;
imageObj.GreenPercentage = GreenPercentage;
imageObj.BluePercentage = BluePercentage;
imageObj.Checksum = checksume;
imageObj.Height = height;
imageObj.Width = width;
imageObj.ImagePath = imagePath;
imageObj.IsImageContainsFace = noOfFaces > 0 ? true : false;
imageObj.IsImageContainsText = imageContent.Length > 0 ? true : false;
imageObj.Length = length;
imageObj.Name = imagePath.Contains("\\") ? imagePath.Split('\\')[imagePath.Split('\\').Count() - 1] : imagePath;
imageObj.FaceCount = noOfFaces;
imageObj.CreatedDatetime = DateTime.Now;
imageObj.IsDeleted = false;
imageObj.Description = imageContent;
return imageObj;
}
