Class SmartFilter

SmartFilter class

Kelas untuk memproses logika dasar filter cerdas.

public abstract class SmartFilter : ICloneable

Konstruktor

NamaKeterangan
SmartFilter()Menginisialisasi instance baru dariSmartFilter kelas.

Properti

NamaKeterangan
BlendMode { get; set; }Mendapatkan atau menyetel mode pencampuran.
abstract FilterId { get; }Mendapat pengidentifikasi jenis filter pintar.
IsEnabled { get; set; }Mendapat atau menyetel status aktif filter pintar.
abstract Name { get; }Mendapatkan nama filter pintar.
Opacity { get; set; }Mendapat atau mengatur nilai opacity dari smart filter.
SourceDescriptor { get; }Struktur deskriptor sumber dengan data filter cerdas.

Metode

NamaKeterangan
Apply(RasterImage)Menerapkan filter saat ini ke inputRasterImage gambar.
ApplyToMask(Layer)Menerapkan filter saat ini ke inputLayer data topeng.
Clone()Membuat tiruan anggota dari instance tipe saat ini.

Contoh

Contoh ini menunjukkan dukungan antarmuka filter cerdas.

[C#]

string sourceFilte = "r2_SmartFilters.psd";
string outputPsd = "out_r2_SmartFilters.psd";

void AssertAreEqual(object expected, object actual)
{
    if (!object.Equals(expected, actual))
    {
        throw new Exception("Objects are not equal.");
    }
}

using (var image = (PsdImage)Image.Load(sourceFilte))
{
    SmartObjectLayer smartObj = (SmartObjectLayer)image.Layers[1];

    // edit filter pintar
    GaussianBlurSmartFilter gaussianBlur = (GaussianBlurSmartFilter)smartObj.SmartFilters.Filters[0];

    // periksa nilai filter
    AssertAreEqual(3.1, gaussianBlur.Radius);
    AssertAreEqual(BlendMode.Dissolve, gaussianBlur.BlendMode);
    AssertAreEqual(90d, gaussianBlur.Opacity);
    AssertAreEqual(true, gaussianBlur.IsEnabled);

    // perbarui nilai filter
    gaussianBlur.Radius = 1;
    gaussianBlur.BlendMode = BlendMode.Divide;
    gaussianBlur.Opacity = 75;
    gaussianBlur.IsEnabled = false;
    AddNoiseSmartFilter addNoise = (AddNoiseSmartFilter)smartObj.SmartFilters.Filters[1];
    addNoise.Distribution = NoiseDistribution.Uniform;

    // tambahkan item filter baru
    var filters = new List<SmartFilter>(smartObj.SmartFilters.Filters);
    filters.Add(new GaussianBlurSmartFilter());
    filters.Add(new AddNoiseSmartFilter());
    smartObj.SmartFilters.Filters = filters.ToArray();

    // menerapkan perubahan
    smartObj.SmartFilters.UpdateResourceValues();

    // Terapkan filter
    smartObj.SmartFilters.Filters[0].Apply(image.Layers[2]);
    smartObj.SmartFilters.Filters[4].ApplyToMask(image.Layers[2]);

    image.Save(outputPsd);
}

using (var image = (PsdImage)Image.Load(outputPsd))
{
    SmartObjectLayer smartObj = (SmartObjectLayer)image.Layers[1];

    GaussianBlurSmartFilter gaussianBlur = (GaussianBlurSmartFilter)smartObj.SmartFilters.Filters[0];

    // periksa nilai filter
    AssertAreEqual(1d, gaussianBlur.Radius);
    AssertAreEqual(BlendMode.Divide, gaussianBlur.BlendMode);
    AssertAreEqual(75d, gaussianBlur.Opacity);
    AssertAreEqual(false, gaussianBlur.IsEnabled);

    AssertAreEqual(true, smartObj.SmartFilters.Filters[5] is GaussianBlurSmartFilter);
    AssertAreEqual(true, smartObj.SmartFilters.Filters[6] is AddNoiseSmartFilter);
}

Lihat juga

Enum NoiseDistribution Class SmartFilters