How can I calculate ODS, OIS, AP metrics?

[kadirnar]

Hello @xavysp ,

I want to measure the performance of the model. Is there an evaluate.py file written in Python?
After running the test.py file, avg and fuse folders are created. What are their meanings?

[xavysp]

Hi, welcome up to DexiNed, just a question, did you read the paper related to this repo? Have you checked closed issues about the evaluation? If you did, I'll be happy to help you.
Cheers

[kadirnar]

Yes, I have read your article.

How can I use these variables to calculate the metric?
I am working on improving the LDC architecture, but the precision metric is giving very low results(0.1). Why aren't you sharing the eval.py file?

[xavysp]

Hi, sorry you are right.
Have been a little bit busy. Let me know if this issue can help you:
#63

Cheers.

[kadirnar]

I want to add these metrics to the train code. So it has to be python code.

https://github.com/Walstruzz/edge_eval_python
There is a repo for Python, but it's too complicated.

I want to measure the performance of GhostNet architecture using your repo. Can you help with this?
My Work: https://github.com/kadirnar/Pytorch-LDC/blob/main/backbone/mymodel.py

[idazhuang]

I want to add these metrics to the train code. So it has to be python code.

https://github.com/Walstruzz/edge_eval_python There is a repo for Python, but it's too complicated.

I want to measure the performance of GhostNet architecture using your repo. Can you help with this? My Work: https://github.com/kadirnar/Pytorch-LDC/blob/main/backbone/mymodel.py

Hi， have you solved this problem?