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update zenodo links to v0_9_0 models

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kba 2026-07-14 21:00:09 +02:00
parent c43e219858
commit b4165114ea
4 changed files with 22 additions and 6 deletions
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2
Makefile
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@ -13,7 +13,7 @@ WGET = wget -O
#SEG_MODEL := https://github.com/qurator-spk/eynollah/releases/download/v0.3.0/models_eynollah.tar.gz
#SEG_MODEL := https://github.com/qurator-spk/eynollah/releases/download/v0.3.1/models_eynollah.tar.gz
#SEG_MODEL := https://zenodo.org/records/17194824/files/models_layout_v0_5_0.tar.gz?download=1
EYNOLLAH_MODELS_URL := https://zenodo.org/records/17727267/files/models_all_v0_8_0.zip
EYNOLLAH_MODELS_URL := https://zenodo.org/records/21362927/files/models_inference_all_v0_9_0.zip
EYNOLLAH_MODELS_ZIP = $(notdir $(EYNOLLAH_MODELS_URL))
EYNOLLAH_MODELS_DIR = $(EYNOLLAH_MODELS_ZIP:%.zip=%)

6
README.md
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@ -74,11 +74,11 @@ When using Eynollah with Docker, see [`docker.md`](https://github.com/qurator-sp
## Models
Pretrained models can be downloaded from [Zenodo](https://zenodo.org/records/17727267) or [Hugging Face](https://huggingface.co/SBB?search_models=eynollah).
Pretrained models can be downloaded from [Zenodo](https://doi.org/10.5281/zenodo.17194823) or [Hugging Face](https://huggingface.co/SBB?search_models=eynollah).
For fast runtime inference, download the ONNX models.
For fast runtime inference, download the ONNX models distributed as `models_inference_...zip`.
For finetuning training, download the original (Tensorflow / Torch) models
For finetuning training, download the original (Tensorflow / Torch) models distributed as `models_training...zip`
(and install the `[training]` extra).
For model documentation and model cards, see [`models.md`](https://github.com/qurator-spk/eynollah/tree/main/docs/models.md).

4
src/eynollah/model_zoo/default_specs.py
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@ -1,8 +1,8 @@
from .specs import EynollahModelSpec, EynollahModelSpecSet
# NOTE: This needs to change whenever models/versions change
ZENODO = "https://zenodo.org/records/17727267"
MODELS_VERSION = "v0_8_0"
ZENODO = "https://zenodo.org/records/21362927"
MODELS_VERSION = "v0_9_0"
def dist_url(dist_name: str="layout") -> str:
return f'{ZENODO}/models_{dist_name}_{MODELS_VERSION}.zip'

16
src/eynollah/ocrd-tool.json
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@ -84,6 +84,22 @@
}
},
"resources": [
{
"url": "https://zenodo.org/records/21362927/files/models_inference_all_v0_9_0.zip",
"name": "models_inference_all_v0_9_0",
"type": "archive",
"size": 5177204769,
"description": "Models for layout detection, reading order detection, textline detection, page extraction, column classification, table detection, binarization and image enhancement",
"version_range": ">= v0.9.0"
},
{
"url": "https://zenodo.org/records/21362927/files/models_inference_all_v0_9_0.zip",
"name": "models_inference_all_v0_9_0",
"type": "archive",
"size": 5177204769,
"description": "Models for layout detection, reading order detection, textline detection, page extraction, column classification, table detection, binarization and image enhancement",
"version_range": ">= v0.9.0"
},
{
"url": "https://zenodo.org/records/17727267/files/models_all_v0_8_0.zip",
"name": "models_all_v0_8_0",