From 5483d8fec0814e9cc9f5e6fdbb69810f74c76ac9 Mon Sep 17 00:00:00 2001 From: natanielruiz <nruiz9@gatech.edu> Date: 星期一, 30 十月 2017 07:09:27 +0800 Subject: [PATCH] next --- code/test_preangles.py | 18 ++++++++++++++++-- 1 files changed, 16 insertions(+), 2 deletions(-) diff --git a/code/test_preangles.py b/code/test_preangles.py index 3d70bb0..9cdc8e3 100644 --- a/code/test_preangles.py +++ b/code/test_preangles.py @@ -36,6 +36,13 @@ return args +def load_filtered_state_dict(model, snapshot): + # By user apaszke from discuss.pytorch.org + model_dict = model.state_dict() + snapshot = {k: v for k, v in snapshot.items() if k in model_dict} + model_dict.update(snapshot) + model.load_state_dict(model_dict) + if __name__ == '__main__': args = parse_args() @@ -50,6 +57,7 @@ # Load snapshot saved_state_dict = torch.load(snapshot_path) model.load_state_dict(saved_state_dict) + # load_filtered_state_dict(model, saved_state_dict) print 'Loading data.' @@ -63,6 +71,8 @@ pose_dataset = datasets.Pose_300W_LP_random_ds(args.data_dir, args.filename_list, transformations) elif args.dataset == 'AFLW2000': pose_dataset = datasets.AFLW2000(args.data_dir, args.filename_list, transformations) + elif args.dataset == 'AFLW2000_ds': + pose_dataset = datasets.AFLW2000_ds(args.data_dir, args.filename_list, transformations) elif args.dataset == 'BIWI': pose_dataset = datasets.BIWI(args.data_dir, args.filename_list, transformations) elif args.dataset == 'AFLW': @@ -86,11 +96,16 @@ model.eval() # Change model to 'eval' mode (BN uses moving mean/var). total = 0 + idx_tensor = [idx for idx in xrange(66)] + idx_tensor = torch.FloatTensor(idx_tensor).cuda(gpu) + yaw_error = .0 pitch_error = .0 roll_error = .0 l1loss = torch.nn.L1Loss(size_average=False) + + for i, (images, labels, cont_labels, name) in enumerate(test_loader): images = Variable(images).cuda(gpu) @@ -121,8 +136,7 @@ pitch_error += torch.sum(torch.abs(pitch_predicted - label_pitch)) roll_error += torch.sum(torch.abs(roll_predicted - label_roll)) - # Save images with pose cube. - # TODO: fix for larger batch size + # Save first image in batch with pose cube or axis. if args.save_viz: name = name[0] if args.dataset == 'BIWI': -- Gitblit v1.8.0