You can use the make_gif.py to make your own gif visualizations.
If you are only using one thread (i.e., --nthreads 1
), then training will
likely be very slow. Determine how many threads the machine you are using has and use as
many as possible.
This error comes up when the script can't find the data to train on.
Check that the training_filenames
and validation_filenames
in the configuration file are valid.
It is recommended to have at least 11GB of GPU memory. See GPU Memory and Input Size section of the Configuration File Guide for instructions on how to adjust the input image size to use less memory.
You can run model inference without a GPU, but model training will take far too long without a GPU.