paritosh5feb

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Data loading & preprocessing pipeline feature

Hi everyone! I am trying to write a CNN (U-Net) in Flux ML Library of Julia. However the first hurdle that I am facing is, how to load images from...

Data loading & preprocessing pipeline feature

> You can look at UNet.jl Can you tell me how to load the images from the folder for training the model. Like there was flowfromdirectory function in Keras (python).

Data loading & preprocessing pipeline feature

Can I use the load_batch function to output x_train, y_train, so that both could be fed in the - DataLoader(x_train, y_train, batchsize=N) to create the full data_set

Data loading & preprocessing pipeline feature

My Data directory is structured as follows:- data/train/images - contains images named as follows:- id.png data/train/masks - contains the corresponding masks named as follows:- id.png data/train.csv - contains names of...

Data loading & preprocessing pipeline feature

Well, would this function be correct, if I want to load all the images at once and then feed x_train, y_train to DataLoader function:- ```julia function load_data(base_dir, n) img_dir =...

Data loading & preprocessing pipeline feature

> So you'd use the CSV to generate valid paths to the data and corresponding labels and shoot that to load_img (quite possibly you'll broadcast over a vector of strings...

Data loading & preprocessing pipeline feature

I wrote this function based on the load_batch() function. But why is this function only returning array filled with zeroes. ```julia function load_data(base_dir, n, rsize = (101,101)) img_dir = "images/"...