Class LayerHashCalculator
isi
[
bersembunyi
]LayerHashCalculator class
Kalkulator Hash untuk Lapisan PSD. Ini dapat digunakan untuk menemukan lapisan yang sama atau berbeda dalam file PSD yang berbeda
public class LayerHashCalculator
Konstruktor
Nama | Keterangan |
---|---|
LayerHashCalculator(Layer) | Menginisialisasi instance baru dariLayerHashCalculator kelas. |
Metode
Nama | Keterangan |
---|---|
GetBlendingHash() | Mendapat campuran hash. |
GetChannelsHash() | Mendapatkan hash saluran. |
GetContentHash() | Mendapat hash konten. |
Contoh
Kode berikut mendemonstrasikan API untuk mendapatkan hash unik untuk lapisan serupa di file berbeda.
[C#]
/// <summary>
/// Mendapatkan nama layer dengan.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="gambar">Gambar.</param>
/// <nama param="nama">Nama.</param>
/// <returns></returns>
private static T GetLayerByName<T>(PsdImage image, string name) where T : Layer
{
var layers = image.Layers;
foreach (var layer in layers)
{
if (layer.Name == name)
{
return (T) layer;
}
}
return null;
}
/// <summary>
/// Apakah tidak sama.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="expected">Yang diharapkan.</param>
/// <param name="aktual">Aktual.</param>
/// <exception cref="System.Exception">Argumen tidak boleh sama</exception>
public static void AreNotEqual<T>(T expected, T actual)
{
if (expected != null && expected.Equals(actual))
{
throw new Exception("Arguments must not be equal");
}
}
/// <summary>
/// Apakah sama.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="expected">Yang diharapkan.</param>
/// <param name="aktual">Aktual.</param>
/// <exception cref="System.Exception">Argumen harus sama</exception>
public static void AreEqual<T>(T expected, T actual)
{
if (expected != null && !expected.Equals(actual))
{
throw new Exception("Arguments must be equal");
}
}
/// <summary>
/// Reguler uji hash konten lapisan.
/// </summary>
/// <param name="fileName">Nama file.</param>
public static void RegularLayerContentHashTest(string fileName)
{
using (var im = (PsdImage) Image.Load(fileName))
{
var layers = new Layer[9];
var hashers = new LayerHashCalculator[9];
for (int i = 0; i < layers.Length; i++)
{
layers[i] = GetLayerByName<Layer>(im, string.Format("Layer {0}", i + 1));
hashers[i] = new LayerHashCalculator(layers[i]);
}
AreNotEqual(hashers[0].GetChannelsHash(), hashers[1].GetChannelsHash());
AreNotEqual(hashers[1].GetChannelsHash(), hashers[2].GetChannelsHash());
AreNotEqual(hashers[0].GetChannelsHash(), hashers[2].GetChannelsHash());
AreNotEqual(hashers[5].GetChannelsHash(), hashers[7].GetChannelsHash());
AreNotEqual(hashers[0].GetChannelsHash(), hashers[8].GetChannelsHash());
// Hash dari layer ini sama
AreEqual(hashers[0].GetChannelsHash(), hashers[3].GetChannelsHash());
AreEqual(hashers[1].GetChannelsHash(), hashers[4].GetChannelsHash());
AreEqual(hashers[0].GetChannelsHash(), hashers[6].GetChannelsHash());
// Periksa hash mode pencampuran
AreEqual(hashers[0].GetBlendingHash(), hashers[3].GetBlendingHash());
AreEqual(hashers[1].GetBlendingHash(), hashers[4].GetBlendingHash());
AreNotEqual(hashers[0].GetBlendingHash(), hashers[6].GetBlendingHash());
// Tapi pointer berbeda
AreNotEqual(layers[0], layers[3]);
AreNotEqual(layers[1], layers[4]);
AreNotEqual(layers[0], layers[6]);
}
}
/// <summary>
/// Mengisi tes hash konten lapisan.
/// </summary>
/// <param name="fileName">Nama file.</param>
public static void FillLayerContentHashTest(string fileName)
{
using (var im = (PsdImage) Image.Load(fileName))
{
var fillLayersNames = new string[] { "Color Fill", "Gradient Fill", "Pattern Fill" };
var colorFillLayers = new Layer[4];
var colorFillHashers = new LayerHashCalculator[4];
for (int fillLayerIndex = 0; fillLayerIndex < fillLayersNames.Length; fillLayerIndex++)
{
for (int i = 0; i < 2; i++)
{
var index = 0 + i * 2;
colorFillLayers[index] = GetLayerByName<Layer>(im,
string.Format("{0} 1_{1}", fillLayersNames[fillLayerIndex], i + 1));
colorFillHashers[index] = new LayerHashCalculator(colorFillLayers[index]);
index = 1 + i * 2;
colorFillLayers[index] = GetLayerByName<Layer>(im,
string.Format("{0} 2_{1}", fillLayersNames[fillLayerIndex], i + 1));
colorFillHashers[index] = new LayerHashCalculator(colorFillLayers[index]);
}
// Lapisan serupa selalu ada dalam satu indeks
AreEqual(colorFillHashers[0].GetContentHash(), colorFillHashers[2].GetContentHash());
AreEqual(colorFillHashers[1].GetContentHash(), colorFillHashers[3].GetContentHash());
AreNotEqual(colorFillHashers[0].GetContentHash(), colorFillHashers[1].GetContentHash());
}
}
}
/// <summary>
/// Mencerdaskan uji hash konten lapisan objek.
/// </summary>
/// <param name="fileName">Nama file.</param>
public static void SmartObjectLayerContentHashTest(string fileName)
{
using (var im = (PsdImage) Image.Load(fileName))
{
var smartObjects = new Layer[]
{
GetLayerByName<Layer>(im, "Regular1_1"),
GetLayerByName<Layer>(im, "Regular1_2"),
GetLayerByName<Layer>(im, "Regular2_1"),
GetLayerByName<Layer>(im, "Regular2_2"),
GetLayerByName<Layer>(im, "Smart1_1"),
GetLayerByName<Layer>(im, "Smart1_2"),
GetLayerByName<Layer>(im, "Smart2_1"),
GetLayerByName<Layer>(im, "Smart2_2"),
};
var hashers = new LayerHashCalculator[smartObjects.Length];
for (int i = 0; i < smartObjects.Length; i++)
{
hashers[i] = new LayerHashCalculator(smartObjects[i]);
}
// Data saluran sama untuk Layer dan Createad dari mereka Smart Objects.
AreEqual(hashers[0].GetChannelsHash(), hashers[2].GetChannelsHash());
AreEqual(hashers[0].GetChannelsHash(), hashers[4].GetChannelsHash());
// Content Hash berbeda, karena Smart Object menggunakan data lain sebagai konten
AreNotEqual(hashers[0].GetContentHash(), hashers[4].GetContentHash());
// Tapi pencampuran hash serupa. Kedua layer - smart dan regular memiliki mode Normal Blend dan opacity 255
AreEqual(hashers[0].GetBlendingHash(), hashers[4].GetBlendingHash());
// Data saluran sama untuk Layer dan Createad dari mereka Smart Objects.
AreEqual(hashers[1].GetChannelsHash(), hashers[3].GetChannelsHash());
AreEqual(hashers[1].GetChannelsHash(), hashers[5].GetChannelsHash());
// Content Hash berbeda, karena Smart Object menggunakan data lain sebagai konten
AreNotEqual(hashers[1].GetContentHash(), hashers[5].GetContentHash());
// Tapi pencampuran hash serupa. Kedua layer - smart dan regular memiliki mode Normal Blend dan opacity 255
AreEqual(hashers[1].GetBlendingHash(), hashers[5].GetBlendingHash());
AreNotEqual(hashers[0].GetChannelsHash(), hashers[1].GetChannelsHash());
AreNotEqual(hashers[2].GetChannelsHash(), hashers[3].GetChannelsHash());
AreNotEqual(hashers[4].GetChannelsHash(), hashers[5].GetChannelsHash());
}
}
/// <summary>
/// Penyesuaian uji hash konten lapisan.
/// </summary>
/// <param name="fileName">Nama file.</param>
public static void AdjustmentLayersContentHashTest(string fileName)
{
using (var im = (PsdImage) Image.Load(fileName))
{
var adjustments = new Layer[]
{
GetLayerByName<Layer>(im, "Brightness/Contrast 1"),
GetLayerByName<Layer>(im, "Levels 1"),
GetLayerByName<Layer>(im, "Curves 1"),
GetLayerByName<Layer>(im, "Exposure 1"),
GetLayerByName<Layer>(im, "Vibrance 1"),
GetLayerByName<Layer>(im, "Hue/Saturation 1"),
GetLayerByName<Layer>(im, "Color Balance 1"),
GetLayerByName<Layer>(im, "Black & White 1"),
GetLayerByName<Layer>(im, "Photo Filter 1"),
GetLayerByName<Layer>(im, "Channel Mixer 1"),
GetLayerByName<Layer>(im, "Invert 1"),
GetLayerByName<Layer>(im, "Posterize 1"),
};
var length = adjustments.Length;
var hashers = new LayerHashCalculator[length];
for (int i = 0; i < length; i++)
{
hashers[i] = new LayerHashCalculator(adjustments[i]);
}
// Semua hash harus berbeda
for (int i = 0; i < length; i++)
{
for (int j = i + 1; j < length; j++)
{
AreNotEqual(hashers[i].GetContentHash(), hashers[j].GetContentHash());
AreEqual(hashers[i].GetBlendingHash(), hashers[j].GetBlendingHash());
}
}
}
}
/// <summary>
/// Mengirim teks uji hash konten lapisan.
/// </summary>
/// <param name="fileName">Nama file.</param>
public static void TextLayersContentHashTest(string fileName)
{
using (var im = (PsdImage) Image.Load(fileName))
{
var textLayers1 = new TextLayer[]
{
GetLayerByName<TextLayer>(im, "Text 1"),
GetLayerByName<TextLayer>(im, "Text 1 Similar"),
GetLayerByName<TextLayer>(im, "Text 1 Changed"),
};
var textLayers2 = new TextLayer[]
{
GetLayerByName<TextLayer>(im, "Text 2"),
GetLayerByName<TextLayer>(im, "Text 2 Similar"),
GetLayerByName<TextLayer>(im, "Text 2 Changed 1"),
GetLayerByName<TextLayer>(im, "Text 2 Changed 2"),
GetLayerByName<TextLayer>(im, "Text 2 Rotated"),
};
var textHashers1 = new LayerHashCalculator[textLayers1.Length];
var textHashers2 = new LayerHashCalculator[textLayers2.Length];
for (int i = 0; i < textLayers1.Length; i++)
{
textHashers1[i] = new LayerHashCalculator(textLayers1[i]);
}
for (int i = 0; i < textLayers2.Length; i++)
{
textHashers2[i] = new LayerHashCalculator(textLayers2[i]);
}
AreEqual(textHashers1[0].GetContentHash(), textHashers1[1].GetContentHash());
AreNotEqual(textHashers1[0].GetContentHash(), textHashers1[2].GetContentHash());
AreEqual(textHashers2[0].GetContentHash(), textHashers2[1].GetContentHash());
AreNotEqual(textHashers2[0].GetContentHash(), textHashers2[2].GetContentHash());
AreNotEqual(textHashers2[0].GetContentHash(), textHashers2[3].GetContentHash());
// Matriks transformasi tidak digunakan dalam perhitungan hash. Anda juga harus memeriksanya
AreEqual(textHashers2[0].GetContentHash(), textHashers2[4].GetContentHash());
// Dalam hal ini kita memiliki rotasi dalam matriks
AreNotEqual(textLayers2[0].TransformMatrix, textLayers2[4].TransformMatrix);
// Dalam hal ini kami hanya memiliki terjemahan (Lapisan Teks Bergeser di bawah)
AreNotEqual(textLayers2[0].TransformMatrix, textLayers2[1].TransformMatrix);
}
}
/// <summary>
/// Mengelompokkan uji hash konten lapisan.
/// </summary>
/// <param name="fileName">Nama file.</param>
public static void GroupLayerContentHashTest(string fileName)
{
using (var im = (PsdImage) Image.Load(fileName))
{
var fillLayersNames = new string[] { "Color Fill", "Gradient Fill", "Pattern Fill" };
var groupLayers = new Layer[2];
var groupLayersHashers = new LayerHashCalculator[2];
groupLayers[0] = GetLayerByName<Layer>(im, "Fill");
groupLayers[1] = GetLayerByName<Layer>(im, "Fill copy");
for (int i = 0; i < groupLayers.Length; i++)
{
groupLayersHashers[i] = new LayerHashCalculator(groupLayers[i]);
}
// Group Layer Hash dihitung dari layer di dalamnya
AreEqual(groupLayersHashers[0].GetContentHash(), groupLayersHashers[1].GetContentHash());
AreNotEqual(groupLayers[0], groupLayers[1]);
}
}
/// <summary>
/// Reguler konten lapisan dari file yang berbeda tes hash.
/// </summary>
/// <param name="fileName">Nama file.</param>
public static void RegularLayerContentFromDifferentFilesHashTest(string fileName, string outputFile)
{
using (var im = (PsdImage) Image.Load(fileName, new PsdLoadOptions() { ReadOnlyMode = true }))
{
im.Save(outputFile);
}
using (var im = (PsdImage) Image.Load(fileName))
{
using (var imCopied = (PsdImage) Image.Load(outputFile))
{
for (int i = 0; i < im.Layers.Length; i++)
{
var layer = im.Layers[i];
var layer_copied = imCopied.Layers[i];
var hashCalc = new LayerHashCalculator(layer);
var hashCalc_copied = new LayerHashCalculator(layer_copied);
// Layer memiliki pointer yang berbeda
AreNotEqual(layer, layer_copied);
// Tapi hash dari layer adalah sama
AreEqual(hashCalc.GetChannelsHash(), hashCalc_copied.GetChannelsHash());
AreEqual(hashCalc.GetContentHash(), hashCalc_copied.GetContentHash());
}
}
}
File.Delete(outputFile);
}
Lihat juga
- ruang nama Aspose.PSD.FileFormats.Psd.Layers
- perakitan Aspose.PSD