dask_GDL #575
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…arning into geo_deep_learning_dask
added 4 commits
August 7, 2024 16:41
CharlesAuthier
previously approved these changes
Aug 8, 2024
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Do you think an RGBN test can be useful?
valhassan
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LucaRom,
ms888ekb,
remtav,
mpelchat04 and
valhassan
mpelchat04
reviewed
Aug 30, 2024
| @@ -125,6 +125,6 @@ def main(params:Union[DictConfig, Dict]): | |||
| # LOOP THROUGH LIST OF INPUT IMAGES | |||
| for aoi in tqdm(list_aois, desc='Inferring from images', position=0, leave=True): | |||
| logging.info(f'\nReading image: {aoi.aoi_id}') | |||
| raster = aoi.raster | |||
| geo_inference(raster, tiff_name=aoi.aoi_id, patch_size=chunk_size) | |||
| geo_inference(tiff_image=str(aoi.raster_name), patch_size=chunk_size) | |||
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Geo_inference call does not have the argument tiff_image but rather inference_input
https://github.com/NRCan/geo-inference/blob/main/geo_inference/geo_inference.py#L103
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Description
This PR intends to include dask for image contrast enhancement to speed up the pre-processing step.
In addition, it has removed the download step of reading stack data and instead it is streaming data directly to arrays.
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