From e306e86e925e4211c1c2d2f68de45d5e55f3e215 Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期日, 13 八月 2017 01:22:31 +0800
Subject: [PATCH] Some cleanup and AFLW working
---
code/train_AFLW.py | 15 +++++++++++----
1 files changed, 11 insertions(+), 4 deletions(-)
diff --git a/code/train_AFLW.py b/code/train_AFLW.py
index 65ea83c..f355f63 100644
--- a/code/train_AFLW.py
+++ b/code/train_AFLW.py
@@ -102,7 +102,11 @@
model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66)
# ResNet18
# model = hopenet.Hopenet(torchvision.models.resnet.BasicBlock, [2, 2, 2, 2], 66)
- load_filtered_state_dict(model, model_zoo.load_url(model_urls['resnet50']))
+
+ if args.finetune:
+ model.load_state_dict(torch.load(args.snapshot))
+ else:
+ load_filtered_state_dict(model, model_zoo.load_url(model_urls['resnet50']))
print 'Loading data.'
@@ -128,6 +132,9 @@
optimizer = torch.optim.Adam([{'params': get_ignored_params(model), 'lr': args.lr},
{'params': get_non_ignored_params(model), 'lr': args.lr * 10}],
lr = args.lr)
+ # optimizer = torch.optim.SGD([{'params': get_ignored_params(model), 'lr': args.lr},
+ # {'params': get_non_ignored_params(model), 'lr': args.lr * 10}],
+ # lr = args.lr, momentum = 0.9)
print 'Ready to train network.'
@@ -178,13 +185,13 @@
%(epoch+1, num_epochs, i+1, len(pose_dataset)//batch_size, loss_yaw.data[0], loss_pitch.data[0], loss_roll.data[0]))
if epoch == 0:
torch.save(model.state_dict(),
- 'output/snapshots/resnet50_AFLW_iter_'+ str(i+1) + '.pkl')
+ 'output/snapshots/resnet50_AFLW_finetuned_iter_'+ str(i+1) + '.pkl')
# Save models at numbered epochs.
if epoch % 1 == 0 and epoch < num_epochs - 1:
print 'Taking snapshot...'
torch.save(model.state_dict(),
- 'output/snapshots/resnet50_AFLW_epoch_'+ str(epoch+1) + '.pkl')
+ 'output/snapshots/resnet50_AFLW_finetuned_epoch_'+ str(epoch+1) + '.pkl')
# Save the final Trained Model
- torch.save(model.state_dict(), 'output/snapshots/resnet50_AFLW_epoch' + str(epoch+1) + '.pkl')
+ torch.save(model.state_dict(), 'output/snapshots/resnet50_AFLW_finetuned_epoch_' + str(epoch+1) + '.pkl')
--
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