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unable to retrieve input images after sampling a task #419
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First of all note that there are only the classes
Not really, no. I just tested it in the script anil_fc100.py. Maybe you can share your code? |
Thanks a lot for your reply, I already used the Taskset option and it didn't change the results. Below is a screenshot of a Colab file I used to check the input images after sampling some tasks from mini-imagenet train data. Before sampling the tasks, the input images are all ok After sampling, the images seem unavailable or maybe transformed |
In general, it is much easier to read code when it is properly formatted in the text msg, take a look here: https://docs.github.com/en/get-started/writing-on-github/working-with-advanced-formatting/creating-and-highlighting-code-blocks 🙂 You might be using a wrong order for defining the |
Hi,
I tested MAML and Reptile algorithms using mini-imagenet dataset, and the data are sampled using a TasksetDataset,
Question: Is it normal that after the set of tasks are created, the inputs images (the originals) are no longer there?
For each batch in the training loop, I tried to plot the samples (images) but I got blank images presenting few points in it.
I wanted to visualize the results (predictions) of each algorithm in a form of : (input image, prediction, label) but got no image.
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