Comments (4)
Thanks for looking into that.
from raster-vision-examples.
Workaround if you have an AWS account: install the aws cli and run aws configure
to setup the default profile
from raster-vision-examples.
I thought you needed an AWS account to access public spacenet data. (Which seems strange). But, if that's true then this won't be possible.
from raster-vision-examples.
On the page https://spacenetchallenge.github.io/ one can find the following text related to their examples using SpaceNet (emphasis added):
The AWS Command Line Interface (CLI) must be installed with an active AWS account. Configure the AWS CLI using ‘aws configure’
Based on this and other factors, it appears that an account is needed (even if no dollars will ever charged to that account to access the SpaceNet data on AWS).
from raster-vision-examples.
Related Issues (20)
- Add `other` directory
- Vegas image 1000 is missing
- Train model on Spacenet Rio
- Add more comments to simple seg example
- Rename raster-vision-batch to raster-vision-aws
- Add versioning to this repo
- Add example using non-georeference imagery HOT 4
- About the Spacenet Vegas Roads model HOT 2
- AttributeError: module 'rastervision' has no attribute 'RASTERIZED_SOURCE'
- with_chip_options parameters flipped for segmentation
- Help Required on semantic segmentation example of Potsdam HOT 11
- Question regarding the pretrained models... HOT 1
- predict not showing any output/error HOT 3
- Quick Question HOT 1
- training stage error Keras validatation_steps=None HOT 2
- fix jupyter notebook behavior in docker run script
- fix spacenet s3 uris in data prep notebook HOT 1
- fail install on windows with python 3.7 64bits HOT 1
- Most of the instructions are outdated
- BUG: Invalid link in docs regarding Potsdam dataset
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