How to plot the each metric in a line graph?

[Ghaleb-alnakhlani]

Hi,

Is it possible to plot the metric outcome into a line graph?

Thank you

[kozistr]

hello!

unfortunately, in this repo, there's no method to plot the metrics : (
but maybe you can plot the metric with libraries like matplotlib or seaborn

Thanks in advance

[Ghaleb-alnakhlani]

Hi thank you for responding.

Can you please share how I can do that? If you have an example?

And just to clarify something I face some issues when I used the script. I was using google colab.
Is this correct I just need to run the python3 -m metrics and that is all?

thank you

[kozistr]

well, it depends on what you want to plot! I just attach line plot examples with code.

Hope it helps you : )

• matplotlib exmaples : https://jakevdp.github.io/PythonDataScienceHandbook/04.01-simple-line-plots.html

[kozistr]

sorry for the usage. final usage is like what you mentioned, python3 -m metrics. But, code isn't completed though : (

To make it works,

1. build a real & fake (pytorch) dataloaders, like here
2. define the metric and call it. code

   # pseudo code
   fid = FID()
   fid(real_data_loader, fake_data_loader)
   

[Ghaleb-alnakhlani]

well, it depends on what you want to plot! I just attach line plot examples with code.

Hope it helps you : )

• matplotlib exmaples : https://jakevdp.github.io/PythonDataScienceHandbook/04.01-simple-line-plots.html

I would like to plot loss_log.txt produced by pix2pixHD training. xaxis would be the iteration and yaxis the number of epochs. and show the loss curve decreasing during the training.

[Ghaleb-alnakhlani]

sorry for the usage. final usage is like what you mentioned, python3 -m metrics. But, code isn't completed though : (

To make it works,

1. build a real & fake (pytorch) dataloaders, like here
2. define the metric and call it. code

   # pseudo code
   fid = FID()
   fid(real_data_loader, fake_data_loader)
   

Now it make more sense. thank you for clarifying that I will make those changes and try it

[kozistr]

well, it depends on what you want to plot! I just attach line plot examples with code.
Hope it helps you : )

• matplotlib exmaples : https://jakevdp.github.io/PythonDataScienceHandbook/04.01-simple-line-plots.html

I would like to plot loss_log.txt produced by pix2pixHD training. xaxis would be the iteration and yaxis the number of epochs. and show the loss curve decreasing during the training.

you can code like this!

# matplotlib example, you can find more details on the matplotlib documentations
metrics = [10.2, 5.1, 2.1, 1.1, ...]
plt.plot(metrics , list(range(0, num_epochs)))

or you can use the loggers like Tensorboard, Wandb.

[Ghaleb-alnakhlani]

well, it depends on what you want to plot! I just attach line plot examples with code.
Hope it helps you : )

• matplotlib exmaples : https://jakevdp.github.io/PythonDataScienceHandbook/04.01-simple-line-plots.html

I would like to plot loss_log.txt produced by pix2pixHD training. xaxis would be the iteration and yaxis the number of epochs. and show the loss curve decreasing during the training.

you can code like this!

# matplotlib example, you can find more details on the matplotlib documentations
metrics = [10.2, 5.1, 2.1, 1.1, ...]
plt.plot(metrics , list(range(0, num_epochs)))

or you can use the loggers like Tensorboard, Wandb.

Really can I use Tensorboard for this? I just need to upload the loss_log file. I have not tried it before and I though it was only used while training not after training is finished.

[kozistr]

oh i see! it's possible to plot with Tensorboard after the training. However, as you said, usually we use the logger to plot the metrics while training.

in your case, i guess it'd be better to use the visualization library like matplotlib : )