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TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

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As you said, after opening the mean-var parameter, you need a big batch, otherwise the result is very bad. This is how I am now. My results are very bad....

This is what I got, really bad result, the car can not segment out. I have trained with pretuned model about 4750 epochs. ![](https://i.loli.net/2018/08/17/5b76396782309.jpg) Here is my predict codes, what...

When inference, why is my classification result of each pixel the same, all is No.5 classes?

Hi, I tried to run `train.py` to train the model from stretch on cityscapes dataset, and only commented the line that restores from pre-trained model and modified the path of...

Update dependencies for who start from scratch.

thank you for providing the useful code! but when i run the demo file there are some error about the tensorflow's version and about the cuda cudnn. could you please...

I use `train.py` to train on my relabel ade20k dataset (150 to 5 classes) but couldn't get good result. mIoU is always at maximum 57%. My training parameters: - Batch...

Hi, hellochick! I run your code with meeting the problem as follow: `AttributeError: module 'tensorflow' has no attribute 'data' ` After I inquire this problem in the Google, I find...

Hi, I am trying to train ICNet on my own dataset using the cityscapes model as a starting point, but when I run train.py I receive the error: `ValueError: Dimension...