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How to measure metrics?

See original GitHub issue

Hi Daniel. I have used your repo and the model performs very accurate predictions. But, I would like to calculate the values of metrics like iou_score, accuracy, f1-score, precision, and recall. Can you tell me whether these metrics are already available or we have to write custom code for metrics calculation?

Issue Analytics

  • State:closed
  • Created 4 years ago
  • Comments:17 (3 by maintainers)

github_iconTop GitHub Comments

1reaction
dbolyacommented, Oct 19, 2019

@abhigoku10 It might be useful so sure, but it would be low priority.

0reactions
ARRARIAKU2commented, Dec 14, 2022

@denashamss @MiguelAngeloMartinsRibeiro Sorry for the late response. Yes, I was able to get the IoU. Refer to my answer here. Once you save the masks, it’s pretty easy to calculate the IoU. The code to calculate IoU can be taken from here.

hi @sainatarajan, how do i modify the code in eval.py and combine with the code that you gave from that link?

i still dont know how to get the IoU or can you put the full code of eval.py that you already modify?

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