AIWintermuteAI / aXeleRate

Keras-based framework for AI on the Edge
MIT License
174 stars 72 forks source link

When class names more than one, the mAP is false? #58

Closed wwzh2015 closed 3 years ago

wwzh2015 commented 3 years ago

When just have one class the mAp calculate is true, what's happened?

https://ftp.bmp.ovh/imgs/2021/07/9a67e2599fcda7c9.png

Multi classes the mAp is very low.

AIWintermuteAI commented 3 years ago

Hi, there. I don't want to guess what exactly do you mean, could you please describe your issue according to the template here: https://github.com/AIWintermuteAI/aXeleRate/issues/20 Otherwise, the issue will be marked Closed.

wwzh2015 commented 3 years ago

Hi, there. I don't want to guess what exactly do you mean, could you please describe your issue according to the template here:

20

Otherwise, the issue will be marked Closed.

the multi labels mAp calculate is not exactly

AIWintermuteAI commented 3 years ago

image

wwzh2015 commented 3 years ago

Why the multi labels mAp is so low? but train single label mAp is high.

AIWintermuteAI commented 3 years ago

Describe the bug Users are not using template, which causes a waste of time - additional information is needed to be asked by contributors to find the source of the problem.

To Reproduce Steps to reproduce the behavior:

Go to 'Issues'
Click on 'closed'
Scroll down to 'everywhere'
See all issues without templates - people are creating issues and asking "what is wrong, it doesn't work" without explaining what is the bug and what is expected behavior

Expected behavior A clear and concise description of what you expected to happen when you run the code, what is your dataset, what is the error output in the terminal. Ideally, create a colab notebook to reproduce the error and share it here.

Screenshots If applicable, add screenshots to help explain your problem.

Environment (please complete the following information):

Local or Google Colab/Jupyter Notebook
If Local: conda or native install/ virtual env?
If Google Colab: tensorflow version?

Additional context Add any other context about the problem here.