Christian Bartz
Christian Bartz
Yes running for only 10 epochs is intended behaviour. You can set the number of epochs with the command-line switch `--num-epochs`.
I think it can not plot the logs, because the log output of MXNet is not as expected (this changes from time to time, especially if you are using a...
I think it should still work, but you will need to separate the bbox coordinates from the labels.
It seems that the output of your training looks different than what is expected by the `log_plotter` are you sure that you are using MXNet in version `0.9.3`?
Well, that is a problem... You could try to use a more modern version of MXNet, but then you'll need to adapt the code that examines the log file and...
The command you used looks good to me! During our experiments we determined, that it is only possible to create a good model, if you train it with several steps....
1. If you issue the command `python train_svhn.py -h` you can see all possible command-line arguments. One is `--model-prefix`. You can use this argument to point the script towards the...
I don't really think that this is the same problem... Did you stop the training after two epochs? Have you had a look at the train progress on a validation...
You could, for instance, do the following: 1. use a text editor like sublime text, select the part of the path you want to change in the first line. Then...
Did you check my answers on issue #28? I think we should continue this discussion there.