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Lycus99 / MT-FiST

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Two question #4

Closed csEylLee closed 8 months ago

csEylLee commented 1 year ago

Q1: 'from models import model_provider' can be found. Q2:Is 'model_all4' the model in your paper?

csEylLee commented 1 year ago

And can you share your .pkl file ?

Lycus99 commented 11 months ago

A1: models/init.py A2: 'model_lstm' is our final model. A3: .pkl file is larger than 25M. If you need it, I will send it by e-mail to you.

dyy211hh commented 8 months ago

And can you share your .pkl file ?

Lycus99 commented 8 months ago

.pkl file has been uploaded: https://drive.google.com/drive/folders/1Wjo1AgDiSPjeysMDdhq5glpQ8qENFLDT. This .pkl file was used for ablation studies, not for comparison with other SOTA methods. The results of the comparison were logged in the CholecTriplet2021 Challenge. @csEylLee @dyy211hh

Lycus99 commented 8 months ago

import pickle with open('address_to_pickle.pkl', 'rb') as f: list = pickle.load(f)

list[0]: training images address list[1]: validation images list[2]: train labels: I(6)+V(10)+T(15)+IVT(100) list[3]: validation labels list[4]: the number of each training video images list[5]: the number of each validation video images

dyy211hh commented 8 months ago

Thank you for your answer.

---- Replied Message ---- | From | @.> | | Date | 01/04/2024 09:29 | | To | @.> | | Cc | @.>@.> | | Subject | Re: [Lycus99/MT-FiST] Two question (Issue #4) |

import pickle with open('address_to_pickle.pkl', 'rb') as f: list = pickle.load(f)

list[0]: training images address list[1]: validation images list[2]: train labels: I(6)+V(10)+T(15)+IVT(100) list[3]: validation labels list[4]: the number of each training video images list[5]: the number of each validation video images

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