Comments (2)
- We forked from Feb 10 caffe future version. We also merged a few pull request without changing the conv base etc. Check https://github.com/longjon/caffe/tree/future
- We added meanfield_iteration layer and multi_stage_meanfield layer.
Thanks.
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Awesome, thanks very much.
from crfasrnn.
Related Issues (20)
- Cannot align apparently disconnected blobs. HOT 1
- Dense InfogainLoss Function
- Feature extraction from CRF-RNN vs FCN8s
- CRFasRNN output vs score_final (FCN)
- Identify only small set of classes
- cuDNN compile error on Tesla K80 GPU - error: too few arguments to function
- Mean vector
- Python demo script on Ubuntu 14.04: "Check failed: *ptr host allocation of size 282240000 failed" HOT 1
- This implementation has not been tested batch size > 1 HOT 2
- Error while building the custom caffe repo HOT 1
- Performance!!!
- Training with my own data : Multiple problems arising HOT 1
- Training on Pascal VOC
- Processing multiple images in parallel
- How to select the theta_alpha, theta_beta and theta_gamma?
- AttributeError: 'dict' object has no attribute 'itervalues' in /caffe/python/caffe/pycaffe.py line 260 HOT 1
- how to change the image size? HOT 1
- prototext sample- weight initialization HOT 1
- eltwise_layer.cpp:34] Check failed: bottom[0]->shape() == bottom[i]->shape() bottom[0]: 1 21 333 500 (3496500), bottom[1]: 1 21 375 500 (3937500) HOT 2
- FCN pretrained weights on COCO data
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