Comments (7)
I'm having the same problem, have you found a solution?
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You can try to reset the 'gpus' number in the sh file pertaining to the dataset you're training on. This file is in the 'bash' folder.
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Thank you for your suggestion. Yep, I reset my gpus as 0 and problem solved. However, there are more problem with pickle() command happened then.
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@gingerhead22 Hi,I want to ask, if I just have one GPU GTX 1070 , 'gpus' number is '0' or '1'? I don't what is my GPU number. I didn't find the explain of 'gpus number'.
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@ShaoNeilz Hey, u should set it as 0, since the ordinal starts from 0
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@gingerhead22 thanks for your answer!
May I ask one another question ?
When I run 'train_flic.sh' , I haven't gotten any extention about the trainning, and system will be halted.
here is my terminal's context. This makes me really confused.
OS: ubuntu 14.04 amd_64;python 2.7.x;
shaolizhi@standwisdom:/machinelearning/deeppose-master$ bash shells/train_flic.sh
2017-03-07 12:49:50,150 [INFO] sys.version_info(major=2, minor=7, micro=12, releaselevel='final', serial=0)
2017-03-07 12:49:50,151 [INFO] chainer version: 1.21.0
2017-03-07 12:49:50,151 [INFO] cuda: True, cudnn: False
2017-03-07 12:49:50,151 [INFO] Namespace(adam_alpha=0.001, adam_beta1=0.9, adam_beta2=0.999, adam_eps=1e-08, base_zoom=1.5, batchsize=128, channel=3, coord_normalize=True, epoch=101, fliplr=True, fname_index=0, gcn=True, gpus='1', ignore_label=-1, im_size=220, img_dir='data/FLIC-full/images', joint_index=1, lr=0.01, lr_decay_freq=10, lr_decay_ratio=0.1, min_dim=0, model='models/AlexNet.py', n_joints=7, opt='Adam', resume_model=None, resume_opt=None, resume_param=None, rotate=True, rotate_range=10, seed=1701, show_log_iter=10, snapshot=10, symmetric_joints='[[2, 4], [1, 5], [0, 6]]', test_csv_fn='data/FLIC-full/test_joints.csv', test_freq=10, train_csv_fn='data/FLIC-full/train_joints.csv', translate=True, translate_range=5, valid_freq=5, weight_decay=0.0005, zoom=True, zoom_range=0.2)
shells/train_flic.sh: 行 31: 23280 已杀死 CHAINER_TYPE_CHECK=0 python scripts/train.py --model models/AlexNet.py --gpus 1 --epoch 100 --batchsize 128 --snapshot 10 --valid_freq 5 --train_csv_fn data/FLIC-full/train_joints.csv --test_csv_fn data/FLIC-full/test_joints.csv --img_dir data/FLIC-full/images --test_freq 10 --seed 1701 --im_size 220 --fliplr --rotate --rotate_range 10 --zoom --zoom_range 0.2 --translate --translate_range 5 --coord_normalize --gcn --n_joints 7 --fname_index 0 --joint_index 1 --symmetric_joints "[[2, 4], [1, 5], [0, 6]]" --opt Adam
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@ShaoNeilz are you solved it? I have the same trouble.
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Related Issues (20)
- I could'nt run deeppose prog.
- Evaluating FLIC model
- Pretrained Models
- Unresolved references in evaluate_flic.py HOT 1
- Train or test with custom dataset
- strange contrast normalization HOT 1
- Memory problem HOT 4
- TypeError: rotate() got an unexpected keyword argument 'center' HOT 1
- TypeError: Cannot cast array data from dtype('float64') to dtype('<U32') according to the rule 'safe' HOT 4
- How to use the trained Alexnet testing other pics?
- In Python 2.7 env, stuck after "test_joints.csv is ready" HOT 1
- "evaluate_Flic.py" parameter 'trans'
- Prediction for Real Time Video
- how to predict
- Download failure with datasets/download.sh HOT 2
- tr_plus_indices.mat not found HOT 4
- How to run HOT 1
- Include "act_id" of MPII annotations to mpii_dataset.py
- where is transform.py
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