Comments (7)
I think you need to load your new .mat, since you are doing semantic segmentation like matconvnet-fcn, change the last several network structure like the file fcnInitializeModel.m did. Actually it is a lot of job. At first get the lmdb data from ur dataset. @HLinn
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I also want to change the network structure to use for my task,but I couldn't understand the code very clearly.Do I only need to rewrite fcnInitializeModel.m if I want to change structure?@liyin2015
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I think so. Like rewrite this sentence, net = vl_simplenn_tidy(load(opts.sourceModelPath)) ;
Write a different function to generate the net structure @KirigayaMelon . I found this address will be helpful. http://www.cc.gatech.edu/~hays/compvision/proj6/
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Thank u.Lots of work to do...@liyin2015
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@HLinn @KirigayaMelon Could you tune the network on your data? I have same issue to work on my own data. Could you give me the steps you passed?
Thanks
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@HLinn @KirigayaMelon I have same issue to work on my own data.Could you tune the network on your data? I am grateful that you can share your code,and my email is :[email protected] .Thanks very much
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anyone have solve this problem,Could you give the method.
thank you very much!!
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Related Issues (20)
- Image input that is not a multiple of 32
- image segmentation implementation HOT 1
- how to train fcn on my own data on the matconvnet
- CUDA error when trying to use multiple GPUs: nnconv_forward_blas: CUDA error [cuda: forward: pointer does not correspond to a registered memory region] HOT 5
- Does any contributor accept payed contract for specific code ?
- out of memory gpu
- bopts.useGpu = numel(opts.train.gpus) > 0 ; issue HOT 1
- Can't download the "benchmark.tgz" HOT 12
- when use GTX1070 and beta23, report error: CUDA_ERROR_ILLEGAL_ADDRESS
- How to train my dataset using FCN HOT 3
- Warning: Escaped character '\S' is not valid. See 'doc sprintf' for supported special characters.
- Transpose on ND array is not defined. Use PERMUTE instead.
- Segmentation accuracy is better during training than testing for validation (val) images HOT 1
- No variable of name 'label' could be found in the DAG.
- vl_nnloss.m function error
- FCN model initialization for other networks rather than VGG-16
- pre-trained model lacking fields lead to error
- In FcnTest.m my predicted image does not get displayed
- vl_imreadjpeg.m error HOT 1
- Not format GZIP
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