Training stopped without error message
I have prepared the CPU-only docker environment (python3.6, tensorflow1.12, and other libraries as in the requirements.txt) (https://github.com/deepfakes/faceswap/). I prepared the image data (around 600 and 850 PNG files) and tried to start training a new model with the command below.
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python3.6 faceswap.py train -A "mydir/faces/b_4" -B "mydir/faces/a" -m "mydir/model "
But the training seemed to stop without any error messages or crash-report. Is there any clue for what should I do next ?
Below is the message in the terminal after running the command.
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Setting Faceswap backend to CPU
02/14/2020 22:10:17 INFO Log level set to: INFO
Using TensorFlow backend.
02/14/2020 22:10:22 INFO Model A Directory: /srv/mydir/faces/b_4
02/14/2020 22:10:22 INFO Model B Directory: /srv/mydir/faces/a
02/14/2020 22:10:22 INFO Training data directory: /srv/mydir/model
02/14/2020 22:10:22 INFO ===================================================
02/14/2020 22:10:22 INFO Starting
02/14/2020 22:10:22 INFO Press 'ENTER' to save and quit
02/14/2020 22:10:22 INFO Press 'S' to save model weights immediately
02/14/2020 22:10:22 INFO ===================================================
02/14/2020 22:10:23 INFO Loading data, this may take a while...
02/14/2020 22:10:23 INFO Loading Model from Original plugin...
02/14/2020 22:10:23 INFO No existing state file found. Generating.
02/14/2020 22:10:25 INFO Creating new 'original' model in folder: '/srv/mydir/model'
02/14/2020 22:10:25 INFO Loading Trainer from Original plugin...
02/14/2020 22:10:29 INFO Enabled TensorBoard Logging
Killed