From b2316888f61893aff1229c24002d903df79499cb Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期三, 13 九月 2017 21:16:31 +0800
Subject: [PATCH] Removed unecessary testing scripts

---
 code/test_preangles.py |   15 +++++++++++++--
 1 files changed, 13 insertions(+), 2 deletions(-)

diff --git a/code/test_preangles.py b/code/test_preangles.py
index 4aedfd8..f2039f2 100644
--- a/code/test_preangles.py
+++ b/code/test_preangles.py
@@ -33,6 +33,7 @@
           default=1, type=int)
     parser.add_argument('--save_viz', dest='save_viz', help='Save images with pose cube.',
           default=False, type=bool)
+    parser.add_argument('--dataset', dest='dataset', help='Dataset type.', default='AFLW2000', type=str)
 
     args = parser.parse_args()
 
@@ -48,7 +49,7 @@
     # ResNet101 with 3 outputs.
     # model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 23, 3], 66)
     # ResNet50
-    model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66)
+    model = hopenet.Hopenet(torchvision.models.resnet.Bottleneck, [3, 4, 6, 3], 66, 0)
     # ResNet18
     # model = hopenet.Hopenet(torchvision.models.resnet.BasicBlock, [2, 2, 2, 2], 66)
 
@@ -66,8 +67,18 @@
     transforms.RandomCrop(224), transforms.ToTensor(),
     transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])])
 
-    pose_dataset = datasets.AFLW2000(args.data_dir, args.filename_list,
+    if args.dataset == 'AFLW2000':
+        pose_dataset = datasets.AFLW2000(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':
+        pose_dataset = datasets.AFLW(args.data_dir, args.filename_list, transformations)
+    elif args.dataset == 'AFW':
+        pose_dataset = datasets.AFW(args.data_dir, args.filename_list, transformations)
+    else:
+        print 'Error: not a valid dataset name'
+        sys.exit()
     test_loader = torch.utils.data.DataLoader(dataset=pose_dataset,
                                                batch_size=args.batch_size,
                                                num_workers=2)

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