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@@ -266,8 +266,8 @@ curl -X POST "http://MY_SUPER_API_IP:5000/process" -H "accept: application/octet
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If you don't have Nvidia Docker, here is the installation guide :
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https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0)#installing-version-20
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-#### Note GIT LFS (test images download support)
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-Make sure you have Git LFS installed if you're planning on using images in the /test_images/ folder. Otherwise, you'll just wind up getting tiny files that will have the same file names but you will run into errors trying to open them or colorize them. If you have a fancy shmancy git client like GitHub Desktop, it will probably prompt you to install it and do it for you. If that doesn't happen, get it here: https://git-lfs.github.com/
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+#### Note on test_images folder
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+The images in this folder have been removed because they were using Git LFS and that costs a lot of money when GitHub actually charges for bandwidth on a popular open source project (they had a billing bug for while that was recently fixed). The notebooks that use them (the image test ones) still point to images in that directory that I (Jason) have personally and I'd like to keep it that way because, after all, I'm by far the primary and most active developer. But they won't work for you. Still, those notebooks are a convenient template for making your own tests if you're so inclined.
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--------------------------
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#### Installation Details
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Jason Antic