Comments (2)
I just merged #51 that fixes the issue you reported and some other things. I was able to get python -m rastervision.run experiments/semseg/4_20_17/fcn_0.json
to run without errors using the following updated experiment file. Remember that experiment files aren't backward compatible, so to get it to run with the develop
branch, I made some necessary changes which were
"problem_type": "semseg",
"dataset_name": "isprs/potsdam",
I also made various changes so it would run quickly for testing purposes.
{
"batch_size": 1,
"problem_type": "semseg",
"dataset_name": "isprs/potsdam",
"generator_name": "numpy",
"active_input_inds": [3, 0, 1],
"use_pretraining": false,
"freeze_base": false,
"train_stages": [
{
"epochs": 1,
"init_lr": 1e-5
},
{
"epochs": 2,
"init_lr": 1e-6
}
],
"kernel_size": [5, 5],
"train_ratio": 0.8,
"optimizer": "adam",
"target_size": [256, 256],
"eval_target_size": [2000, 2000],
"nb_eval_samples": 1,
"nb_eval_plot_samples": 1,
"model_type": "conv_logistic",
"run_name": "semseg/4_20_17/fcn_0",
"validation_steps": 1,
"steps_per_epoch": 1
}
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Thanks for the bug report and sorry for any inconvenience. When we get the time, we'd like to come up with a better testing strategy.
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Related Issues (20)
- Issues with using model bundle for prediction HOT 15
- Cannot import ClassConfig on Kaggle HOT 16
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