From 120d40c06aab8dea1e80f5c581c98d9511f491ed Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Tue, 14 Jul 2020 12:32:08 -0700 Subject: [PATCH] Update train.py This updates the PR to a one-liner to minimize additions. Perhaps we can include opt in the future but let's start with this for now. --- train.py | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/train.py b/train.py index 7669219..2beeb2f 100644 --- a/train.py +++ b/train.py @@ -58,14 +58,6 @@ def train(hyp): with open(Path(log_dir) / 'opt.yaml', 'w') as f: yaml.dump(vars(opt), f, sort_keys=False) - # Log hyperparameters in tensorboard - if tb_writer: - tb_hparams_dict = hyp - tb_hparams_dict.update(vars(opt)) - tb_hparams_dict['img_size_train'], tb_hparams_dict['img_size_test'] = tb_hparams_dict['img_size'] - del tb_hparams_dict['img_size'] - tb_writer.add_hparams(tb_hparams_dict, {}) - epochs = opt.epochs # 300 batch_size = opt.batch_size # 64 weights = opt.weights # initial training weights @@ -194,6 +186,7 @@ def train(hyp): # model._initialize_biases(cf.to(device)) plot_labels(labels, save_dir=log_dir) if tb_writer: + tb_writer.add_hparams(hyp, {}) tb_writer.add_histogram('classes', c, 0) # Check anchors