Comments (3)
I got it~ There is a problem on my browser. So I did not see your own results. Now I understandThxs
from icnet-tensorflow.
@irfanICMLL , I have trained on ADE20k dataset and compressed the class numbers to 27, and you can see the result in the bottom of README, sorry for confusing you.
For the Cityscapes, I converted the weight from the original author. You can still use the parameters I offered and change the number of classes to 19, but it's hard to reproduce the performance described in the paper because the author first trained on the other model then do model compression.
from icnet-tensorflow.
@irfanICMLL I replied in the other issue and make more detailed explanation~~~ XD
from icnet-tensorflow.
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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from icnet-tensorflow.