Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

refactor: ⚡ Speeded up CTC decoding in PyTorch by x10 #633

Merged
merged 7 commits into from
Nov 18, 2021
Merged

refactor: ⚡ Speeded up CTC decoding in PyTorch by x10 #633

Changes from 1 commit
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
9f5d0f8
feat: Added support of basic sequence to decode_sequence
fg-mindee Nov 17, 2021
3d84d26
test: Updated unittests
fg-mindee Nov 17, 2021
4b7b032
feat: Speeded up CTC decoding in PyTorch
fg-mindee Nov 17, 2021
a936512
fix: Fixed decode_sequence
fg-mindee Nov 17, 2021
f00123c
style: Silenced import warning
fg-mindee Nov 17, 2021
bda3773
test: Extended decode_sequence unittest
fg-mindee Nov 17, 2021
bbf5676
test: Extended unittest
fg-mindee Nov 17, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Next Next commit
feat: Added support of basic sequence to decode_sequence
  • Loading branch information
@fg-mindee
fg-mindee committed Nov 17, 2021
commit 9f5d0f802caee7531ea9af48e36eaea4ab17881b
13 changes: 7 additions & 6 deletions doctr/datasets/utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -5,8 +5,9 @@

import string
import unicodedata
from collections import Sequence
from functools import partial
from typing import Any, List, Optional
from typing import Any, List, Optional, Sequence, Union

import numpy as np

Expand Down Expand Up @@ -66,23 +67,23 @@ def encode_string(


def decode_sequence(
input_array: np.array,
input_seq: Union[np.array, Sequence[int]],
mapping: str,
) -> str:
"""Given a predefined mapping, decode the sequence of numbers to a string

Args:
input_array: array to decode
input_seq: array to decode
mapping: vocabulary (string), the encoding is given by the indexing of the character sequence

Returns:
A string, decoded from input_array
A string, decoded from input_seq
"""

if not input_array.dtype == np.int_ or input_array.max() >= len(mapping):
if not isinstance(input_seq, Sequence) or input_seq.dtype != np.int_ or input_seq.max() >= len(mapping):
raise AssertionError("Input must be an array of int, with max less than mapping size")

return ''.join(map(mapping.__getitem__, input_array))
return ''.join(map(mapping.__getitem__, input_seq))


def encode_sequences(
Expand Down