mikey_t

Hi @mehrnoushmalek I'm not sure I understand exactly what the problem is. It might be worth trying to train instead using [MLWIC2](https://github.com/mikeyEcology/MLWIC2), as it should be a little bit smoother,...

It is okay that you get that message with batch 25. I wouldn't worry about this. I'm not sure that `retrain_from` is going to work in this package, but let's...

For retraining, your progress should be saved in `MLWICtrain`. This directory should contain some files called "Snapshot...". If not, can you run `system("ls -lht")` after setting this as your working...

Yes it will work on all of your cores. I don't think you're doing retrain right. I would train a model on all of your data (or 90% so you...

You could split your data and re-train but I wouldn't advise this. Have you read of others using a similar approach? You are dealing with a small dataset, correct? I...

I meant a similar approach as far as training different models for subsets of your images. This is a pretty new technology and I wasn't sure if someone else had...

Also, in the latest model, I have gotten high recall rates (> 95%) for some species with fewer than 1,000 species in resnet-18, so if you are using a deeper...

Can you post some of the output that appeared before this? It looks like the program was not finding your images. Also, is the D drive on your computer an...

I'm not sure what you mean by your "other environment", but if tensorflow is not installed the function will not work. I would try first moving the images to your...

I ran on two GPUs by modifying the code in main.py, line 21. I changed it from `os.environ['CUDA_VISIBLE_DEVICES'] = '4,5,6,7'` to `os.environ['CUDA_VISIBLE_DEVICES'] = '0,1'` (or use whatever device IDs you...