cresi
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Road network extraction from satellite imagery, with speed and travel time estimates
are there any instructions to run on the windows machine without docker?
I run ./train.sh configs/sn5_baseline.json But I got a error at print (" Missing file:", os.path.join(self.save_path, checkpoint_name)) How to i can create checkpoint file or how to i download checkpoint file?
Dear avanetten, I am trying to reproduce the continuous speed mask extraction algorithm from your codes. There are get_contours_complex() function and get_mask() function which are unreferenced. Could you share with...
Hi, first of all, thank you for this great project. I tried to use the 04_skeletonize.py with images that I have created. This is one example image:  The `make_skeleton()`...
https://github.com/avanetten/cresi/blob/b996f2d0b6bbbd2438e8f855c0ff0e3c33d6a122/cresi/utils/get_paths.py#L9
https://github.com/avanetten/cresi/blob/b996f2d0b6bbbd2438e8f855c0ff0e3c33d6a122/cresi/configs/sn5_baseline.json#L7 should be: ``` "speed_conversion_file": "/path/to/data/cresi_data/cresi_train/SN5_roads_train_speed_conversion_binned.csv", ```
https://github.com/avanetten/cresi/blob/b996f2d0b6bbbd2438e8f855c0ff0e3c33d6a122/cresi/configs/sn5_baseline.json#L4 ``` TypeError: __new__() got an unexpected keyword argument 'path_data_root' ``` found using `python 04_skeletonize.py configs/sn5_baseline.json`
I have been trying to build the cresi image according to the instructions on GitHub, and rooting the docker located in "gpu folder", but I am encountering several errors stopping...