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authorSasank Chilamkurthy <sasankchilamkurthy@gmail.com>2016-08-23 17:03:52 +0300
committerSasank Chilamkurthy <sasankchilamkurthy@gmail.com>2016-08-23 17:03:52 +0300
commit49fa1e57bfb355ef9c23745eb7f010dbd8d3ff8a (patch)
tree01d46100ca01c0e03b77ebb888e2d83f352f6254
parente3941d9b0a053e73bc70c10cd5c806b11d0ac6e5 (diff)
Added documentation for affinetransform
-rw-r--r--doc/paramtransform.md16
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diff --git a/doc/paramtransform.md b/doc/paramtransform.md
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@@ -19,6 +19,22 @@ When `clamp_mode` equals `pad`, the user can specify the padding value with `pad
If `dst` is specified, it is used to store the result of the warp.
Otherwise, returns a new `res` Tensor.
+<a name="image.affinetransform"></a>
+### [res] image.affinetransform([dst,]src,matrix,[mode,translation,clamp_mode,pad_val]) ###
+Warps image `src` (of size`KxHxW`)
+according to `(y,x)` affine transformation defined by `matrix`.
+The latter has size `2x2`. String `mode` can
+take on values [lanczos](https://en.wikipedia.org/wiki/Lanczos_resampling),
+[bicubic](https://en.wikipedia.org/wiki/Bicubic_interpolation),
+[bilinear](https://en.wikipedia.org/wiki/Bilinear_interpolation) (the default),
+or *simple*.
+Additional translation can be added to the image before affine transformation with `translation`.( Default is `torch.Tensor{0, 0}`.)
+The `clamp_mode` variable specifies how to handle the interpolation of samples off the input image.
+Permitted values are strings *clamp* (the default) or *pad*.
+When `clamp_mode` equals `pad`, the user can specify the padding value with `pad_val` (default = 0). Note: setting this value when `clamp_mode` equals `clamp` will result in an error.
+If `dst` is specified, it is used to store the result of the warp.
+Otherwise, returns a new `res` Tensor.
+
<a name="image.convolve"></a>
### [res] image.convolve([dst,] src, kernel, [mode]) ###
Convolves Tensor `kernel` over image `src`. Valid string values for argument