dataloader.LoadImageDatasetFromDirectory can not be used because error impl in Augmentation::ResizeTransform

[mlpack]

dataloader.LoadImageDatasetFromDirectory can not be used because error impl in Augmentation::ResizeTransform

[mlpack-bot]

This issue has been automatically marked as stale because it has not had any recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions! 👍

[rcurtin]

Can you paste what the actual error is? I am not very familiar with this code, but I'm happy to try and take a look to see what is wrong and if there is an easy fix.

[peichao538]

Can you paste what the actual error is? I am not very familiar with this code, but I'm happy to try and take a look to see what is wrong and if there is an easy fix.

Augmentation::ResizeTransform use mlpack::BilinearInterpolation to process image data, but mlpack::BilinearInterpolation has not been modified and adapted, so some project cannot be compiled and the function of "dataloader" also can not been used to process image directly. I have changed the code with a simple comment as shown in the pasted below, and have not completely implemented BilinearInterpolationType.

template
void Augmentation::ResizeTransform(
DatasetType& dataset,
const size_t datapointWidth,
const size_t datapointHeight,
const size_t datapointDepth,
const std::string& augmentation)
{
size_t outputWidth = 0, outputHeight = 0;

// Get output width and output height.
GetResizeParam(outputWidth, outputHeight, augmentation);

// We will use mlpack's bilinear interpolation layer to
// resize the input.
// mlpack::BilinearInterpolation<DatasetType, DatasetType> resizeLayer(
// datapointWidth, datapointHeight, outputWidth, outputHeight,
// datapointDepth);
// mlpack::BilinearInterpolation<DatasetType, DatasetType> resizeLayer(
// datapointWidth, datapointHeight, outputWidth, outputHeight,
// datapointDepth);
mlpack::BilinearInterpolation resizeLayer(
outputWidth, outputHeight);

DatasetType output;
resizeLayer.Forward(dataset, output);
dataset = std::move(output);
}

[rcurtin]

Right, that layer has not been adapted yet. If you are interested in doing the work of adapting the layer and opening a PR on the mlpack repository, it would be greatly appreciated! I don't currently have time for it (but will get around to it eventually).

[mlpack-bot]

This issue has been automatically marked as stale because it has not had any recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions! 👍