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alpha9934 avatar alpha9934 commented on July 25, 2024 2

@aspenlin can you please elaborate your process a bit further.

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sridarah avatar sridarah commented on July 25, 2024

It is available here
http://cims.nyu.edu/~tompson/data/tr_plus_indices.mat

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aspenlin avatar aspenlin commented on July 25, 2024

The link above is not working and I couldnot find it by google. Did anyone have it downloaded and can share the data? Thanks!

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aspenlin avatar aspenlin commented on July 25, 2024

I solve this problem using the same method as in lsp_dataset.py to generate indices since I couldn't find the .mat file anywhere.

In flic_dataset.py, I used

N_test = int(len(examples) * 0.1)
testing_indices = np.random.permutation(int(len(examples)))[:N_test].tolist()

instead of:
training_indices = loadmat('data/FLIC-full/tr_plus_indices.mat')
training_indices = training_indices['tr_plus_indices'].flatten()

to generate indices for testing,
and change

if i in training_indices:
print(msg, file=fp_train)
else:
print(msg, file=fp_test)
to:
if i in not in testing_indices:
print(msg, file=fp_train)
else:
print(msg, file=fp_test)

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