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TobyPDE / FRRN

Full Resolution Residual Networks for Semantic Image Segmentation
MIT License
278 stars 93 forks source link

The questions about prediction #27

Closed Youngkl0726 closed 7 years ago

Youngkl0726 commented 7 years ago

I tried to run FRRN using other pictures for prediction. But I had to change the names of pictures and the names had to be just like the pictures of Cityscapes. Can you offer a version that FRRN can predict all pictures without change the names of pictures? I tried to change the code to realize this idea but the results were so bad that I doubted that there was something wrong with my code. Once I removed the "batch[1]" from the "val_fn" in prediction.py and, of course, correspondingly changed the code in train.py, the results changed and the results got bad.

TobyPDE commented 7 years ago

Hey, You can load any picture you want by giving a list of string tuples to the data provider. The comments should explain how it works in detail. Unfortunately, I don't have the capacity to implement new features anymore.