Comments (4)
you mean GPU memory?
you can modify batch size to control memory consuming. Usually, this one will not take that much memory in my case.
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Nope, I already have the GTX 1070. I mean the regular memory, cos' it is reported no memory after running 20mins. Did the code work fine on your computer? Thank you!
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The code did not run on my PC but I customized it and add the TEST phase to the network so it work well. If you need I can give you as a reference. It seems that your case is more like other problem but not the network or caffe problem. I guess maybe some code did not release the image in memory(maybe opencv?) or something like that.
By the way, I only used the caffe branch.
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Thank you for you comment.
I ran it with chainer on windows 10, so it may caused by system problem.
I would be so nice of you if you can send me yours as a reference.
Thank you very much then.
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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
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- strange contrast normalization HOT 1
- invalid device ordinal HOT 7
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- 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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