When trying to a bunch of images in Lua to an HDF5 file, I get the following error:
/home/ubuntu/torch/install/bin/luajit: /home/ubuntu/torch/install/share/lua/5.1/hdf5/group.lua:97: attempt to call method 'adjustForData' (a nil value)
stack traceback:
/home/ubuntu/torch/install/share/lua/5.1/hdf5/group.lua:97: in function '_writeData'
/home/ubuntu/torch/install/share/lua/5.1/hdf5/group.lua:307: in function '_write_or_append'
/home/ubuntu/torch/install/share/lua/5.1/hdf5/group.lua:270: in function </home/ubuntu/torch/install/share/lua/5.1/hdf5/group.lua:269>
/home/ubuntu/torch/install/share/lua/5.1/hdf5/file.lua:84: in function '_write_or_append'
/home/ubuntu/torch/install/share/lua/5.1/hdf5/file.lua:58: in function 'write'
This is where the error occurs:
for i = 1, #input_images_caffe do
newFile:write('images', input_images_caffe[i], 'w')
end
The images inside input_image_caffe
, come from:
local input_size = math.ceil(params.input_scale * params.image_size)
local input_image_list = params.input_image:split(',')
local input_images_caffe = {}
local img_caffe
for _, img_path in ipairs(input_image_list) do
local img = image.load(img_path, 3)
img = image.scale(img, input_size, 'bilinear')
img_caffe = preprocess(img):float()
table.insert(input_images_caffe, img_caffe)
end
This function is used to preprocess the images:
function preprocess(img)
local mean_pixel = torch.DoubleTensor({103.939, 116.779, 123.68})
local perm = torch.LongTensor{3, 2, 1}
img = img:index(1, perm):mul(256.0)
mean_pixel = mean_pixel:view(3, 1, 1):expandAs(img)
img:add(-1, mean_pixel)
return img
end
Some examples of what input_images_caffe
could contain:
{
1 : FloatTensor - size: 3x405x512
2 : FloatTensor - size: 3x512x393
}
Or:
{
1 : FloatTensor - size: 3x405x512
}
The HDF5 is created with:
local newFile = hdf5.open(params.output_hdf5, 'w')
And I am using the torch-hdf5
library:
https://github.com/deepmind/torch-hdf5
I am not sure what I am doing wrong here?
newFile:write('images', input_images_caffe[i], 'w')
Try with newFile:write('images', input_images_caffe[i])
instead. The third parameter should be an (optional) options
object, but you are passing a string, which doesn't have adjustForData
method, hence the error you are getting.