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[Fix] fix typo of --lmdb-map-size default value (#1147) 

* fix typo of --lmdb-map-size default value

* fix

Co-authored-by: gaotongxiao <gaotongxiao@gmail.com>
pull/1172/head
leezeeyee 2022-07-16 21:32:15 +08:00 committed by GitHub
parent 5657be1e1a
commit 4c1790b3c6
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3 changed files with 13 additions and 13 deletions
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20
docs/en/tools.md
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@ -24,16 +24,16 @@ The final output filename will be `psenet_r50_fpnf_sbn_1x_20190801-{hash id}.pth
Reading images or labels from files can be slow when data are excessive, e.g. on a scale of millions. Besides, in academia, most of the scene text recognition datasets are stored in lmdb format, including images and labels. To get closer to the mainstream practice and enhance the data storage efficiency, MMOCR now provides `tools/data/utils/lmdb_converter.py` to convert text recognition datasets to lmdb format.
| Arguments | Type | Description |
| ----------------- | ---- | ------------------------------------------------------------------ |
| `label_path` | str | Path to label file. |
| `output` | str | Output lmdb path. |
| `--img-root` | str | Input imglist path. |
| `--label-only` | bool | Only converter label to lmdb |
| `--label-format` | str | The format of the label file, either txt or jsonl. |
| `--batch-size` | int | Processing batch size, defaults to 1000 |
| `--encoding` | str | Bytes coding scheme, defaults to utf8. |
| `--lmdb-map-size` | int | Maximum size database may grow to , defaults to 109951162776 bytes |
| Arguments | Type | Description |
| ----------------- | ---- | ------------------------------------------------------------------------- |
| `label_path` | str | Path to label file. |
| `output` | str | Output lmdb path. |
| `--img-root` | str | Input imglist path. |
| `--label-only` | bool | Only converter label to lmdb |
| `--label-format` | str | The format of the label file, either txt or jsonl. |
| `--batch-size` | int | Processing batch size, defaults to 1000 |
| `--encoding` | str | Bytes coding scheme, defaults to utf8. |
| `--lmdb-map-size` | int | Maximum size database may grow to , defaults to 1099511627776 bytes (1TB) |
### Examples

2
mmocr/utils/lmdb_util.py
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@ -44,7 +44,7 @@ def recog2lmdb(img_root,
label_only=False,
batch_size=1000,
encoding='utf-8',
lmdb_map_size=109951162776,
lmdb_map_size=1099511627776,
verify=True):
"""Create text recognition dataset to LMDB format.

4
tools/data/utils/lmdb_converter.py
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@ -36,9 +36,9 @@ def main():
'--lmdb-map-size',
'-m',
type=int,
default=109951162776,
default=1099511627776,
help='Maximum size database may grow to, '
'defaults to 109951162776 bytes')
'defaults to 1099511627776 bytes (1TB)')
opt = parser.parse_args()
assert opt.img_root or opt.label_only