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Add raster metrics results organization module #78

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Add raster metrics results organization module #78

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08d5421
Update raster patches loader to only load patches without nodata #58
bdubayah Oct 14, 2021
15a3b19
Change raster loader to not flatten patches; change flattened pixel v…
bdubayah Oct 17, 2021
d76039f
Invert iforest scores to match other algorithms
bdubayah Oct 18, 2021
4c08d45
Change tensorflow growth flag
bdubayah Oct 18, 2021
0e5f197
Update metrics calculation for raster MDR
bdubayah Nov 2, 2021
d0c866b
Remove print statement
bdubayah Nov 2, 2021
29f279d
Add options to flattened pixel loader
Nov 11, 2021
d62720b
Clean up rasterMDR results organization module
bdubayah Nov 15, 2021
52a3afd
Rename from rastermdr to raster metrics:
bdubayah Dec 9, 2021
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Change raster loader to not flatten patches; change flattened pixel v… 
…alue extractor to scale based on min max #58
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@bdubayah
bdubayah committed Nov 2, 2021
commit 15a3b19cf02dbe63d47044f1ed9af668f2945ca1
2 changes: 1 addition & 1 deletion dora_exp_pipeline/dora_data_loader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -230,7 +230,7 @@ def _load(self, dir_path: str, patch_size: int, stride: int = 1,
# append the patch coordinate as the id
data_dict['id'].append('%d-%d' % (i, j))
# append the patch data
data_dict['data'].append(patch.flatten())
data_dict['data'].append(patch)
j += stride
i += stride
else:
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5 changes: 4 additions & 1 deletion dora_exp_pipeline/dora_feature.py
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Expand Up @@ -133,7 +133,10 @@ def extract(self, data_cube, **kwargs):
ret_features[ind, :] = data.flatten()

if kwargs.get('normalize_pixels'):
ret_features = ret_features / 255.
min_val = np.min(ret_features)
max_val = np.max(ret_features)
scaled = np.subtract(ret_features, min_val) / (max_val - min_val)
ret_features = scaled

return ret_features

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