saymrwulf/onnxruntime
1
0
Fork 0
mirror of https://github.com/saymrwulf/onnxruntime.git synced 2026-07-16 18:31:27 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Update resnet50_csharp.md (#11514)

Browse source 
changes due to https://github.com/microsoft/onnxruntime/pull/11420
This commit is contained in:
andife 2022-06-06 22:28:11 +02:00 committed by GitHub
parent 4df8d60e72
commit f80f8f29e7
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
1 changed files with 10 additions and 7 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

17
docs/tutorials/resnet50_csharp.md
View file

@ -74,16 +74,19 @@ Next, we will preprocess the image according to the [requirements of the model](
Tensor<float> input = new DenseTensor<float>(new[] { 1, 3, 224, 224 });
var mean = new[] { 0.485f, 0.456f, 0.406f };
var stddev = new[] { 0.229f, 0.224f, 0.225f };
for (int y = 0; y < image.Height; y++)
image.ProcessPixelRows(accessor =>
{
Span<Rgb24> pixelSpan = image.GetPixelRowSpan(y);
for (int x = 0; x < image.Width; x++)
for (int y = 0; y < accessor.Height; y++)
{
input[0, 0, y, x] = ((pixelSpan[x].R / 255f) - mean[0]) / stddev[0];
input[0, 1, y, x] = ((pixelSpan[x].G / 255f) - mean[1]) / stddev[1];
input[0, 2, y, x] = ((pixelSpan[x].B / 255f) - mean[2]) / stddev[2];
Span<Rgb24> pixelSpan = accessor.GetRowSpan(y);
for (int x = 0; x < accessor.Width; x++)
{
input[0, 0, y, x] = ((pixelSpan[x].R / 255f) - mean[0]) / stddev[0];
input[0, 1, y, x] = ((pixelSpan[x].G / 255f) - mean[1]) / stddev[1];
input[0, 2, y, x] = ((pixelSpan[x].B / 255f) - mean[2]) / stddev[2];
}
}
}
});
```
Here, we're creating a Tensor of the required size `(batch-size, channels, height, width)`, accessing the pixel values, preprocessing them and finally assigning them to the tensor at the appropriate indicies.