blumenstiel
commited on
Commit
·
d043708
1
Parent(s):
34796e0
Fixing inference
Browse files- examples/{HLS.L30.T13REN.2018013T172747.v2.0.B02.B03.B04.B05.B06.B07_cropped.tif → Mexico_HLS.S30.T13REM.2018026T173609.v2.0_cropped.tif} +2 -2
- examples/{HLS.L30.T13REN.2018029T172738.v2.0.B02.B03.B04.B05.B06.B07_cropped.tif → Mexico_HLS.S30.T13REM.2018106T172859.v2.0_cropped.tif} +2 -2
- examples/{HLS.L30.T13REN.2018061T172724.v2.0.B02.B03.B04.B05.B06.B07_cropped.tif → Mexico_HLS.S30.T13REM.2018201T172901.v2.0_cropped.tif} +2 -2
- examples/Mexico_HLS.S30.T13REM.2018266T173029.v2.0_cropped.tif +3 -0
- inference.py +8 -7
examples/{HLS.L30.T13REN.2018013T172747.v2.0.B02.B03.B04.B05.B06.B07_cropped.tif → Mexico_HLS.S30.T13REM.2018026T173609.v2.0_cropped.tif}
RENAMED
File without changes
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examples/{HLS.L30.T13REN.2018029T172738.v2.0.B02.B03.B04.B05.B06.B07_cropped.tif → Mexico_HLS.S30.T13REM.2018106T172859.v2.0_cropped.tif}
RENAMED
File without changes
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examples/{HLS.L30.T13REN.2018061T172724.v2.0.B02.B03.B04.B05.B06.B07_cropped.tif → Mexico_HLS.S30.T13REM.2018201T172901.v2.0_cropped.tif}
RENAMED
File without changes
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examples/Mexico_HLS.S30.T13REM.2018266T173029.v2.0_cropped.tif
ADDED
Git LFS Details
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inference.py
CHANGED
@@ -320,9 +320,9 @@ def main(
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print(
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f"\nTreating {len(data_files)} files as {len(data_files)} time steps from the same location\n"
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)
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-
if len(data_files) !=
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print(
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-
"The original model was trained for
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)
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if torch.cuda.is_available():
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@@ -472,14 +472,15 @@ if __name__ == "__main__":
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"--data_files",
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type=str,
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nargs="+",
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default=["examples/
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"examples/
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"examples/
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],
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help="Path to the data files. Assumes multi-band files.",
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)
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parser.add_argument(
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"--
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"-c",
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type=str,
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default="config.json",
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@@ -488,7 +489,7 @@ if __name__ == "__main__":
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parser.add_argument(
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"--checkpoint",
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type=str,
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default="
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help="Path to a checkpoint file to load from.",
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)
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parser.add_argument(
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print(
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f"\nTreating {len(data_files)} files as {len(data_files)} time steps from the same location\n"
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)
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+
if len(data_files) != 4:
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print(
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"The original model was trained for four time steps. \nResults with different numbers of time steps may vary"
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)
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if torch.cuda.is_available():
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"--data_files",
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type=str,
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nargs="+",
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+
default=["examples/Mexico_HLS.S30.T13REM.2018026T173609.v2.0_cropped.tif",
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"examples/Mexico_HLS.S30.T13REM.2018106T172859.v2.0_cropped.tif",
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+
"examples/Mexico_HLS.S30.T13REM.2018201T172901.v2.0_cropped.tif",
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"examples/Mexico_HLS.S30.T13REM.2018266T173029.v2.0_cropped.tif",
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],
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help="Path to the data files. Assumes multi-band files.",
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)
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parser.add_argument(
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+
"--config_path",
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"-c",
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type=str,
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default="config.json",
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parser.add_argument(
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"--checkpoint",
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type=str,
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+
default="Prithvi_EO_V2_600M_TL.pt",
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help="Path to a checkpoint file to load from.",
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)
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parser.add_argument(
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