C# AnimeGAN 漫画风格迁移 动漫风格迁移 图像卡通化 图像动漫化

目录

效果

模型

模型信息

animeganv3_H40_model.onnx

animeganv3_H50_model.onnx

animeganv3_H64_model.onnx

AnimeGANv3_JP_face_v1.0.onnx

AnimeGANv3_PortraitSketch_25.onnx

Hayao_64.onnx

Hayao-60.onnx

Paprika_54.onnx

Shinkai_53.onnx

项目

代码

创建Tensor

保存

下载 

---

效果

模型

animeganv3_H40_model.onnx
animeganv3_H50_model.onnx
animeganv3_H64_model.onnx
AnimeGANv3_JP_face_v1.0.onnx
AnimeGANv3_PortraitSketch_25.onnx
Hayao-60.onnx
Hayao_64.onnx
Paprika_54.onnx
Shinkai_53.onnx

模型信息

animeganv3_H40_model.onnx

Inputs
-------------------------
name：generator_input:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Outputs
-------------------------
name：generator_1/main/out_layer:0
tensor：Float[-1, -1, -1, 3]
---------------------------------------------------------------

animeganv3_H50_model.onnx

Inputs
-------------------------
name：generator_input:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Outputs
-------------------------
name：generator_1/main/out_layer:0
tensor：Float[-1, -1, -1, 3]
---------------------------------------------------------------

animeganv3_H64_model.onnx

Inputs
-------------------------
name：generator_input:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Outputs
-------------------------
name：generator_1/main/out_layer:0
tensor：Float[-1, -1, -1, 3]
---------------------------------------------------------------

AnimeGANv3_JP_face_v1.0.onnx

Inputs
-------------------------
name：AnimeGANv3_input:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Outputs
-------------------------
name：generator/main/out_layer:0
tensor：Float[-1, -1, -1, 3]
---------------------------------------------------------------

AnimeGANv3_PortraitSketch_25.onnx

Inputs
-------------------------
name：animeganv3_input:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Outputs
-------------------------
name：generator/main/out_layer:0
tensor：Float[-1, -1, -1, 3]
---------------------------------------------------------------

Hayao_64.onnx

Inputs
-------------------------
name：generator_input:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Outputs
-------------------------
name：generator/G_MODEL/out_layer/Tanh:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Hayao-60.onnx

Inputs
-------------------------
name：generator_input:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Outputs
-------------------------
name：generator/G_MODEL/Tanh:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Paprika_54.onnx

Inputs
-------------------------
name：generator_input:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Outputs
-------------------------
name：generator/G_MODEL/out_layer/Tanh:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Shinkai_53.onnx

Inputs
-------------------------
name：generator_input:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

Outputs
-------------------------
name：generator/G_MODEL/out_layer/Tanh:0
tensor：Float[1, -1, -1, 3]
---------------------------------------------------------------

项目

VS2022

.net framework 4.8

OpenCvSharp 4.8

Microsoft.ML.OnnxRuntime 1.16.2

代码

创建Tensor

for (int y = 0; y < resize_image.Height; y++)
{
    for (int x = 0; x < resize_image.Width; x++)
    {
        input_tensor[0, y, x, 0] = (float)((resize_image.At(y, x)[0] / 127.5) - 1);
        input_tensor[0, y, x, 1] = (float)((resize_image.At(y, x)[1] / 127.5) - 1);
        input_tensor[0, y, x, 2] = (float)((resize_image.At(y, x)[2] / 127.5) - 1);
    }
}

保存

if (pictureBox2.Image == null)
{
    return;
}
Bitmap output = new Bitmap(pictureBox2.Image);
var sdf = new SaveFileDialog();
sdf.Title = "保存";
sdf.Filter = "Images (*.jpg)|*.jpg|Images (*.png)|*.png|Images (*.bmp)|*.bmp|Images (*.emf)|*.emf|Images (*.exif)|*.exif|Images (*.gif)|*.gif|Images (*.ico)|*.ico|Images (*.tiff)|*.tiff|Images (*.wmf)|*.wmf";
if (sdf.ShowDialog() == DialogResult.OK)
{
    switch (sdf.FilterIndex)
    {
        case 1:
            {
                output.Save(sdf.FileName, ImageFormat.Jpeg);
                break;
            }
        case 2:
            {
                output.Save(sdf.FileName, ImageFormat.Png);
                break;
            }
        case 3:
            {
                output.Save(sdf.FileName, ImageFormat.Bmp);
                break;
            }
        case 4:
            {
                output.Save(sdf.FileName, ImageFormat.Emf);
                break;
            }
        case 5:
            {
                output.Save(sdf.FileName, ImageFormat.Exif);
                break;
            }
        case 6:
            {
                output.Save(sdf.FileName, ImageFormat.Gif);
                break;
            }
        case 7:
            {
                output.Save(sdf.FileName, ImageFormat.Icon);
                break;
            }
        case 8:
            {
                output.Save(sdf.FileName, ImageFormat.Tiff);
                break;
            }
        case 9:
            {
                output.Save(sdf.FileName, ImageFormat.Wmf);
                break;
            }
    }
    MessageBox.Show("保存成功，位置：" + sdf.FileName);    
}

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可执行文件exe下载

源码下载