Version 0.1.0

.github/workflows/buildings-example-test.yaml

@@ -30,9 +30,7 @@ jobs:
         # https://dvc.org/doc/user-guide/setup-google-drive-remote#authorization
         GDRIVE_CREDENTIALS_DATA: ${{ secrets.GDRIVE_CREDENTIALS_DATA }}
       run: |
-        dvc pull $(openmapflow datapath PROCESSED_LABELS) -f
-        dvc pull $(openmapflow datapath COMPRESSED_FEATURES) -f
-        tar -xvzf $(openmapflow datapath COMPRESSED_FEATURES) -C data/
+        dvc pull $(openmapflow datapath DATASETS) -f
         dvc pull $(openmapflow datapath MODELS) -f
 
     - name: Integration test - Project

.github/workflows/crop-mask-example-test.yaml

@@ -30,9 +30,7 @@ jobs:
         # https://dvc.org/doc/user-guide/setup-google-drive-remote#authorization
         GDRIVE_CREDENTIALS_DATA: ${{ secrets.GDRIVE_CREDENTIALS_DATA }}
       run: |
-        dvc pull $(openmapflow datapath PROCESSED_LABELS) -f
-        dvc pull $(openmapflow datapath COMPRESSED_FEATURES) -f
-        tar -xvzf $(openmapflow datapath COMPRESSED_FEATURES) -C data/
+        dvc pull $(openmapflow datapath DATASETS) -f
         dvc pull $(openmapflow datapath MODELS) -f
 
     - name: Integration test - Project

.github/workflows/maize-example-test.yaml

@@ -30,9 +30,7 @@ jobs:
         # https://dvc.org/doc/user-guide/setup-google-drive-remote#authorization
         GDRIVE_CREDENTIALS_DATA: ${{ secrets.GDRIVE_CREDENTIALS_DATA }}
       run: |
-        dvc pull $(openmapflow datapath PROCESSED_LABELS) -f
-        dvc pull $(openmapflow datapath COMPRESSED_FEATURES) -f
-        tar -xvzf $(openmapflow datapath COMPRESSED_FEATURES) -C data/
+        dvc pull $(openmapflow datapath DATASETS) -f
         dvc pull $(openmapflow datapath MODELS) -f
 
     - name: Integration test - Project

README.md

@@ -88,19 +88,22 @@ After all configuration is set, the following project structure will be generate
 │       
 └─── data
     │   raw_labels/                     # User added labels
-    │   processed_labels/               # Labels standardized to common format
-    │   features/                       # Labels combined with satellite data
-    │   compressed_features.tar.gz      # Allows faster features downloads
-    │   models/                         # Models trained using features
+    │   datasets/                       # ML ready datasets (labels + earth observation data)
+    │   models/                         # Models trained using datasets
     |   raw_labels.dvc                  # Reference to a version of raw_labels/
-    |   processed_labels.dvc            # Reference to a version of processed_labels/
-    │   compressed_features.tar.gz.dvc  # Reference to a version of features/
+    |   datasets.dvc                    # Reference to a version of datasets/
     │   models.dvc                      # Reference to a version of models/
 
 ```
 
 This project contains all the code necessary for: Adding data ➞ Training a model ➞ Creating a map. 
 
+**Important:** When code is pushed to the repository a Github action will be run to verify project configuration, data integrity, and script functionality. This action will pull data using dvc and thereby needs access to remote storage (your Google Drive). To allow the Github action to access the data add a new repository secret ([instructions](https://docs.github.com/en/actions/security-guides/encrypted-secrets#creating-encrypted-secrets-for-a-repository)). 
+- In step 5 of the instructions, name the secret: `GDRIVE_CREDENTIALS_DATA`
+- In step 6, enter the value in .dvc/tmp/gdrive-user-creditnals.json (in your repository)
+
+After this the Github action should successfully run.
+
 
 ## Adding data [![cb]](https://colab.research.google.com/github/nasaharvest/openmapflow/blob/main/openmapflow/notebooks/new_data.ipynb)
 
@@ -134,25 +137,20 @@ datasets = [
     ...
 ]
 ```
-Run feature creation:
+Run dataset creation:
 ```bash
 earthengine authenticate    # For getting new earth observation data
 gcloud auth login           # For getting cached earth observation data
 
-openmapflow create-features # Initiatiates or checks progress of features creation
+openmapflow create-dataset # Initiatiates or checks progress of dataset creation
 openmapflow datasets        # Shows the status of datasets
 
 dvc commit && dvc push      # Push new data to data version control
 
 git add .
-git commit -m'Created new features'
+git commit -m'Created new dataset'
 git push
 ```
-**Important:** When new data is pushed to the repository a Github action will be run to verify data integrity. This action will pull data using dvc and thereby needs access to remote storage (your Google Drive). To allow the Github action to access the data add a new repository secret ([instructions](https://docs.github.com/en/actions/security-guides/encrypted-secrets#creating-encrypted-secrets-for-a-repository)). 
-- In step 5 of the instructions, name the secret: `GDRIVE_CREDENTIALS_DATA`
-- In step 6, enter the value in .dvc/tmp/gdrive-user-creditnals.json (in your repository)
-
-After this the Github action should successfully run if the data is valid.
 
 
 ## Training a model [![cb]](https://colab.research.google.com/github/nasaharvest/openmapflow/blob/main/openmapflow/notebooks/train.ipynb)

buildings-example/data/.gitignore

@@ -1,5 +1,3 @@
+/datasets
 /raw_labels
-/processed_labels
-/compressed_features.tar.gz
 /models
-/features

buildings-example/data/datasets.dvc

@@ -0,0 +1,5 @@
+outs:
+- md5: db853058c80b597bb44bfc0ecf37866f.dir
+  size: 121467360
+  nfiles: 2
+  path: datasets

buildings-example/data/datasets.txt → buildings-example/data/report.txt

@@ -2,18 +2,20 @@ DATASET REPORT (autogenerated, do not edit directly)
 
 Uganda_buildings_2020 (Timesteps: 24)
 ----------------------------------------------------------------------------
+eo_data_complete     8117
+eo_data_duplicate       4
 ✔ training amount: 6445, positive class: 100.0%
-✔ testing amount: 848, positive class: 100.0%
 ✔ validation amount: 824, positive class: 100.0%
+✔ testing amount: 848, positive class: 100.0%
+
 
 
 geowiki_landcover_2017 (Timesteps: 24)
 ----------------------------------------------------------------------------
+eo_data_complete          13993
+eo_data_export_failed       242
+eo_data_missing_values      132
 ✔ training amount: 12582, positive class: 0.0%
 ✔ validation amount: 743, positive class: 0.0%
 ✔ testing amount: 668, positive class: 0.0%
 
-
-All data:
-✔ Found no empty features
-✔ No duplicates found