Add autocropper

map2map/cropper.py

@@ -0,0 +1,35 @@
+import click
+import numpy as np
+import h5py as h5
+import pathlib
+from tqdm import tqdm
+
+
+def _extract_3d_tile_periodic(arr, tile_size, start_index):
+    periodic_indices = map(
+        lambda a: a[0] + a[1],
+        zip(np.ogrid[:tile_size, :tile_size, :tile_size], start_index),
+    )
+    periodic_indices = map(
+        lambda a: np.mod(a[0], a[1]), zip(periodic_indices, arr.shape)
+    )
+    return arr[tuple(periodic_indices)]
+
+
+@click.command()
+@click.option("--input", required=True, type=click.Path(exists=True), help="Input file")
+@click.option("--output", required=True, type=click.Path(), help="Output directory")
+@click.option(
+    "--tiles", required=True, type=click.Tuple([int]), help="Size of the tiles"
+)
+@click.option("--fields", required=True, type=click.Tuple([str]), help="Fields to crop")
+@click.option("--num_tiles", required=True, type=int, help="Number of tiles to crop")
+def cropper(input, output, tiles, fields, num_tiles):
+    output = pathlib.PosixPath(output)
+
+    with h5.File(input, mode="r") as f:
+        for i in tqdm(range(num_tiles)):
+            a, b, c = np.random.randint(0, high=1024, size=3)
+            for field in fields:
+                tile = _extract_3d_tile_periodic(f[field], Q, (a, b, c))
+                np.save(output / "tiles" / field / "{:04d}.npy".format(i), tile)

map2map/main.py

@@ -1,4 +1,3 @@
-from .args import get_args
 from . import train
 from . import test
 import click

pyproject.toml

@@ -18,6 +18,7 @@ dependencies = [
         'scipy',
         'matplotlib',
         'tensorboard',
+        'h5py','tqdm',
         'click','pyyaml']
 
 authors = [
@@ -31,6 +32,7 @@ maintainers = [
 
 [project.scripts]
 m2m = "map2map:main.main"
+mapcropper = "map2map:cropper.cropper"
 
 [project.urls]
 #Homepage = "https://example.com"