Polygonization-by-Frame-Field-Learning
Polygonization-by-Frame-Field-Learning copied to clipboard
Lydorn
This repository contains the code for our fast polygonal building extraction from overhead images pipeline.
Greetings! Thanks for great work I would like to clarify, if I have a dataset with several different classes in it - how is it possible to modify your framework,...
Hi, Thank you for sharing the outstanding work to the public, your contribution is worth to appreciate too much. When I try to use your shared pretrained weights to perform...
After training on INRIA dataset using the polygonized_unetresnet_leaderboard run, I tried to evaluate the model using --mode eval on the same config. The error was faced in the tensorpoly.py file...
Hi, I installed the environment in Ubuntu 18.04. I first run the command python main.py --config configs/config.inria_dataset_osm_aligned.unet_resnet101_pretrained after training finish I run python main.py --config configs/config.inria_dataset_osm_aligned.unet_resnet101_pretrained --mode eval the program...
### Error Description When running _**eval_coco**_ mode on the **CrowdAI mapping dataset**, I encounter the same error on both pre-trained UNet-ResNet101 models, whether the frame field is computed or not....
Hello There: Great Job! A novel idea in Polygonal Building Extraction as I know . In traditional segmentation , training data include two kinds of data ,one is image (...
I'm running the code on Windows 10 system. I successfully executed bash setup.sh Post that I ran python setup.py install and got this output: ``` Installed d:\anaconda3\envs\topo\lib\site-packages\frame_field_learning-0.0.1-py3.6.egg Processing dependencies for...
Hi @Lydorn ! I've been finding this repo really useful in my research and have a certain issue with one of the experiments I'm running using your method. I am...
As the title... I run an inference and got a "crossfield" dir with the output "X.npy" inside. I guess this is the frame field in Paper, but how to show...
As the tile, if I want to use my own data, just like the mapping challenge, what should I do to achieve it? Do I need to put an annotation.json...
