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Hi @efyphil , I worked on autonomous driving datasets and I haven’t tried indoor scenes. The algorithm was trained on the KITTI dataset. I think that the data that I trained on is too different from indoor imagery for the network to generalise well. You might need to train the algorithm on a dataset that contains indoor scenes.
@gdlg thanks for fast answer. I'll try to train on different dataset, about bad result it's my fault. I didn't crop the image, after cropping it seems better
@efyphil Thanks for the update. For the images that I was working for, cropping was fine. It’s a limitation of the approach that it doesn’t work with the full vertical field of view.
Thanks for your work! I tried to use your wights for predict indoor scenes, but get very bad result. Did you try to work with indoor?
![Снимок экрана 2020-10-07 в 16 10 58](https://user-images.githubusercontent.com/38631588/95335223-cf9ad400-08b7-11eb-9cb2-73b5b18b089b.png)
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