camma-public / selfsupsurg Goto Github PK

Hi, I've noticed there is a difference in the F1 score for phase recognition between the two arxiv versions and wanted to understand the differences. It seems that the linear evaluation protocol haven't changed so how can you explain the differences in tables 3 and 4?

For example for table 3: dino, base, 40 videos -> 71.6 and in the older version the value was 67.0.

Thanks for your great work!

Greetings. When I try your codes, the part of
# 2) TCN fine-tuning (selfsupsurg)>cfg=hparams/cholec80/finetuning/cholec_to_cholec/series_01/test/phase_tcn/12.5/1/h002.yaml (selfsupsurg)>python main_ft_phase_tcn.py -hp $cfg -t test
There is an error showing that ModuleNotFoundError: No module named 'downstream_phase_tcn.linear_evaluation'
And after checking the trainers.py line18 from downstream_phase_tcn.linear_evaluation import FCN, it seems that there is no such a file (linear_evaluation) in the folder downstream_phase_tcn
Could you please help me to solve this problem?

Thanks for the paper and codes, I have some questions about the code. I follow the Readme to run the codes, but it only generates the results in Table 4. What should I do if I want to reproduce the results in Table 6?

Besides

Hi, thanks for your code and paper, I may have found some errors in your evaluation code when agg='video_relaxed'.

First the original matlab script

index = find(prec>100);
prec(index)=100;
index = find(rec>100);
rec(index)=100;

They limit the value of precision and recall.

Besides when you compute the 'tp_and_fp'

tp_and_fp $=[0,5,0,6,0,7,0,8]$

And if updatedDiff[0] $=0$, the value of tp will increase by 4.

Hi, thanks for sharing.
Have you made your dataset publicly available? Or am I just not finding it?