3d-DenseNet
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problems occur when run python run_dense_net_3d.py
python run_dense_net_3d.py --train -ds /home/user/jiangsudaxuematch/daima/UCF101 when I run this instruction , wrongs occur . wrong list in log.txt Params: weight_decay: 0.0001 bc_mode: False should_save_logs: True keep_prob: 1.0 gpu_id: 0 reduction: 1.0 dataset: /home/user/jiangsudaxuematch/daima/UCF101 model_type: DenseNet3D depth: 20 train: True should_save_model: True test: False renew_logs: False total_blocks: 3 nesterov_momentum: 0.9 growth_rate: 12 Train params: batch_size: 10 n_epochs: 70 queue_size: 300 reduce_lr_epoch_2: 55 sequence_length: 16 validation_set: True num_classes: 5 crop_size: (150, 100) reduce_lr_epoch_1: 30 initial_learning_rate: 0.1 validation_split: None normalization: std Start thread: train data preparation ... Start thread: validation data preparation ... Initialize the model.. Build DenseNet3D model with 3 blocks, 5 composite layers each. Reduction at transition layers: 1.0
Traceback (most recent call last):
File "run_dense_net_3d.py", line 157, in
How can I solve this problem?