ICNet-tensorflow
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TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
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.  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...
Is the trained model not matching the network? @hellochick