Comments (6)
Hey, this is also my question, and I still have no idea about why it happened. Maybe there is a bug in my bn_model, but I can't find it. Another possibility is that the author did not upload the final version of bnnomerge model. If you find any thing helpful to this issue, please tell me, thanks.
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The weights provided by them are fine as I can actually convert the train_30k_bnnomerge weights to train_30k weights by merging the batchnorm layer weights with conv layer weights. I also tried to compare the activations after every bn layer(for bn model) and conv layer(for no bn model) and noticed that the error between them keeps on increasing as we go deeper. My guess is that bn weights are somehow not being loaded properly or something else that is buggy with the bn model.
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Hey, can you tell me how you convert weights by merging the batchnorm layer weights with conv weights? Did you do this using .npy or .caffemodel ? I think maybe the problem is that bn weights not converted properly, I'll check again.
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I used the npy weights. Here's the script I wrote:
https://github.com/alasin/python-scripts/blob/master/convert_bn.py
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Thank you for the script. I'll check the method I load bn weight, also the model.
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Hey @alasin, issue #41 have solved this problem.
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Related Issues (20)
- Errors in restoring the session evalucation.py and network.py
- ValueError: Shape must be rank 4 but is rank 3 for 'data_sub2' (op: 'ResizeBilinear') with input shapes: [720,720,3], [2]. HOT 3
- Why is it suddenly 'killed' run train.py? HOT 1
- How predict the result to use my training model ckpt.meta?
- Dimension not equal HOT 1
- ValueError:Variable conv does not exist
- ValueError when using own dataset HOT 2
- Training own dataset
- Inference time is too high(about 3.5x as supposed to be ~0.04s)
- multi GPU training?
- tensorflow's version HOT 1
- How to use the pre-trained modle of ade20k provided by author,I use the code in demo.ipynb,but it can't open the file,the cityscapes works well.
- Training over-fitting after every epochs
- same classification result with every pixel HOT 1
- can get correct result
- bad results of voc2012
- The update stops and the loss does not drop HOT 4
- Assign requires shapes of both tensors to match. lhs shape= [13] rhs shape= [150]
- 上一个项目
- 关于ade20k的分割结果,颜色和标签有对应关系吗?
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