Polygonization-by-Frame-Field-Learning
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Lydorn
This repository contains the code for our fast polygonal building extraction from overhead images pipeline.
After I run "python main.py --run_name mapping_dataset.unet_resnet101_pretrained.train_val --in_filepath /home/yqs/Polygonization-by-Frame-Field-Learning/frame_field_learning/runs/images/1.jpg" The shell show me: Infer images: 100%|███████████████████████████████████████████████████████████████| 1/1 [00:01
Hi， I tried to install conda environment by using the environment.yml you provided on Ubuntu 18.04, I got the following error: (base) root@deeplearn-light-sunx:/home/sunx/code/Polygonization-by-Frame-Field-Learning# conda env create -f environment.yml Collecting package...
Hello, and thank you for making your work available, its been very helpful! I'm trying to use the pretrained model for the inria dataset on a custom dataset and continuing...
Will it be possible to use for training data with 4 channels or multi-channel in the future?
Hi, I have just tried to install environment by enviroment.yml you provided, there is an error:  Could you please check that? thank you !
When I run main.py, I get the following error, I am afraid to modify the code because I am afraid that it will cause more errors, please help me to...
When we do polygonization using ASM or ACM method, polygon results of some buildings looks strange. It appears like saw tooth edge across all faces of the building. **Details:** 1....
We have built an online demo demo based on your work at [Click here](https://huggingface.co/spaces/Egrt/Luuu)
Hello, this has a error in draw_linear_ring fuction of torch_lydorn/torchvision/transforms/angle_field_init.py, traceback info: ValueError: diff requires input that is at least one dimensional
