blob: 5a329bbc74d96a18d332e3efdb6e49f6d443ab3a (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
|
from pathlib import Path
import text_recognizer.metadata.emnist as emnist
import text_recognizer.metadata.shared as shared
PROCESSED_DATA_DIRNAME = shared.DATA_DIRNAME / "processed" / "emnist_lines"
ESSENTIALS_FILENAME = (
Path(__file__).parents[1].resolve()
/ "data"
/ "mappings"
/ "emnist_lines_essentials.json"
)
CHAR_HEIGHT, CHAR_WIDTH = emnist.DIMS[1:3]
DIMS = (
emnist.DIMS[0],
CHAR_HEIGHT,
None,
) # width variable, depends on maximum sequence length
MAPPING = emnist.MAPPING
|