Closed EmanuelCastanho closed 1 year ago
Hello everyone, I was trying to run random forest. This process took me one day, still can't achieve the dataset. python engineering_patches.py --type texture
Tried several times, it just keeps running without any information.
Wanted to download from the link, but the link seems broken. Could you please have a look?
Hi @Zhanarik ,
This step 2 takes a lot of time, but you have a progress bar that informs you.
I have the texture
folder saved on my computer, but it is quite heavy to send (3GB).
Please create a new issue about your problem, I will close this one because I solved my issue.
Hi @EmanuelCastanho, I'm very glad that you found the answer for your question.
Thank you for notifying me.
I am trying to replicate the Random Forest model that uses Spectral Signatures and Spectral Indices, but I am unable to achieve the same recall (Pixel Accuracy) results.
I noticed that the results can change between Python versions depending on the packages, so I am using the same environment provided by your yml. My hyper-parameters are the same (including seed), I am also using the weights calculated from Confidence and Water Super Class. I am using the provided dataset.h5 and dataset_si.h5.
These are my results:
As you can see, recall is slightly different from your PA results:
1: 0.92; 2: 0.93; 3: 0.92; 4: 0.27; 5: 0.7; 6: 0.82; 7: 0.83; 8: 1; 9: 0.48; 10: 0.83; 11: 0.33
Do you know what can be causing this, since the seeds and data are all the same?
Thank you!