Comments (2)
Feynman27
commented on June 22, 2024
Modifying the Dockerfile to use cuda8.0 fixed the problem:
FROM bfolkens/docker-opencv:3.1.0-cuda8.0-cudnn5
I had to remove import cv from dec.py since this isn't included in opencv3. Other than that, everything seems to be working fine.
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raymondsa
commented on June 22, 2024
I had the same error when i run faster CNN+WIN10+MATLAB2015+CUDA 8.0 GPU GTX1080.
The solution was:
https://github.com/ShaoqingRen/caffe/tree/faster-R-CNN
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Related Issues (20)
- type object 'Net' has no attribute 'set_phase_train' HOT 7
- IO error: lock mnist_train/LOCK: Resource temporarily unavailable HOT 2
- use my own image finds at the process of pretrainMain function the loss is nan
- Labels required for new dataset?
- The final result becomes worse
- Custom changes to caffe
- Typo in Dockerfile
- ImportError: No module named _caffe
- question about 3.1.2 KL divergence minimization
- leveldb.LevelDBError: IO error: lock train_weight/LOCK: already held by process HOT 2
- MXNet link not working HOT 1
- Cannot run on MNIST data HOT 2
- https://github.com/dmlc/mxnet/blob/master/example/dec/dec.py, not working!!!!!
- Is the caff code given by the paper using CPU or GPU?
- Do you have any idea about why the author define the target distribution in such a format?
- The link to the experimental implementation doesn’t work
- Reuters Test Data used in Training Stage
- LevelDB HOT 1
- [Q] What does lambda (annealing speed) do?
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