Comments (3)
File "train_hopenet.py", line 165, in
for i, (images, labels, labels_0, labels_1, labels_2, labels_3, cont_labels, name) in enumerate(train_loader):
ValueError: not enough values to unpack (expected 8, got 4)
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Hi @ZhongyuMa, thanks for following our work. if you want to process the BIWI dataset, be sure to you set the arg as below.
parser.add_argument('--dataset', dest='dataset', help='Dataset type.', default='BIWI_multi', type=str)
Please let me know if you have any other questions.
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Closed.
from accurate-head-pose.
Related Issues (11)
- regress loss error ,is too large, torch is 1.0.1 python 2.7 HOT 6
- Test Images not Listed HOT 1
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- hi!There is a difference in arccuray between code and paper. HOT 4
- 权重参数7 5 3 11 依据是什么 HOT 5
- model idea HOT 3
- what MSE actually does? HOT 2
- Txt Annotations for multi datasets HOT 6
- data input label number doesnt match network output label HOT 3
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