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chenjun2hao / DDRNet.pytorch

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data
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Unable to reproduce the inference on my images from pre-trained models #8

Closed Gourav2K closed 3 years ago

Gourav2K commented 3 years ago

I am trying to reproduce the model results on my own dataset from the pre-trained models on cityscapes but tools/eval.py is throwing errors each time I am trying and fixing the details. Can you just give me a gist of steps that I would need to take in order to get inference on my images from the pretrained model of ddrnet23_slim?

chenjun2hao commented 3 years ago

@Gourav2K , you can debug with pycharm. or you can use test.py for test on your own dataset.

Tetsujinfr commented 3 years ago

hi

test.py does not seems to be much related to an inference file. eval.py is closer in my view but maybe I am missing something here? btw what is demo.py about? it does not seems to be an inference demo. thanks

Gourav2K commented 3 years ago

Exactly, I am facing the exact same issues. test.py contains commented-out statements and eval.py does not seem to generate inferences.