Comments (3)
The Sentinel 2 for Africa that @vincentsarago mentioned is Requester Pays, so wasn't easy to work into an example.
I don't think it's in requester-pays (maybe it changed recently)
from sat-ml-training.
@vincentsarago provided a notebook on using STAC and COGs, put that in as a draft to start the material.
- You can see it online, will be added to homepage when it's ready https://devseed.com/sat-ml-training/Scaling
- Code
- TODO: testing in Colab - possibly simplify if it's too complicated.
@drewbo Add what you want to teach on Inference scaling.
from sat-ml-training.
Added https://developmentseed.org/sat-ml-training/Earth-Engine-Inference
The workflow itself is functional but it contains one bug: the images generated from GEE are indices scaled from -1 to 1 and the training data is per-image, per-band scaled indices from 0-1. That latter normalization needs to be added to the doPrediction
function for this to work properly. cc: @lillythomas
from sat-ml-training.
Related Issues (15)
- Finalize Intro ML Material HOT 1
- Accounts Setup
- Test Remote Meeting Tools HOT 1
- Lilly's SERVIR to-do list HOT 2
- [fastpages] Automated Upgrade HOT 1
- Upgrade Fastpages
- Getting big files into Colab without Download
- Corrections to Deep Learning
- Corrections to Crop Yield
- Remove non-public data from examples HOT 1
- How to do "train_test_split" for image data set used in pyrasterframes? HOT 3
- Code Cells missing from Website
- Branding HOT 2
- Organize Page Order HOT 2
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