From 4c7da72865d8593015b34b035f9e4cd3d10bfcfe Mon Sep 17 00:00:00 2001 From: Geewook Kim Date: Tue, 23 Aug 2022 10:47:26 +0000 Subject: [PATCH] feat: update version --- README.md | 7 ++++--- donut/_version.py | 2 +- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index fb989d1c..d6374fb0 100755 --- a/README.md +++ b/README.md @@ -35,7 +35,7 @@ Gradio web demos are available! [![Demo](https://img.shields.io/badge/Demo-Gradi |Task|Sec/Img|Score|Trained Model|
Demo
| |---|---|---|---|---| -| [CORD](https://github.com/clovaai/cord) (Document Parsing) | 0.7 /
0.7 /
1.2 | 93.9 /
93.6 /
93.5 | [donut-base-finetuned-cord-v2](https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v2/tree/official) (1280) /
[donut-base-finetuned-cord-v1](https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v1/tree/official) (1280) /
[donut-base-finetuned-cord-v1-2560](https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v1-2560/tree/official) | [gradio space web demo](https://huggingface.co/spaces/naver-clova-ix/donut-base-finetuned-cord-v2),
[google colab demo](https://colab.research.google.com/drive/1o07hty-3OQTvGnc_7lgQFLvvKQuLjqiw?usp=sharing) | +| [CORD](https://github.com/clovaai/cord) (Document Parsing) | 0.7 /
0.7 /
1.2 | 93.7 /
93.5 /
93.5 | [donut-base-finetuned-cord-v2](https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v2/tree/official) (1280) /
[donut-base-finetuned-cord-v1](https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v1/tree/official) (1280) /
[donut-base-finetuned-cord-v1-2560](https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v1-2560/tree/official) | [gradio space web demo](https://huggingface.co/spaces/naver-clova-ix/donut-base-finetuned-cord-v2),
[google colab demo](https://colab.research.google.com/drive/1o07hty-3OQTvGnc_7lgQFLvvKQuLjqiw?usp=sharing) | | [Train Ticket](https://github.com/beacandler/EATEN) (Document Parsing) | 0.6 | 98.8 | [donut-base-finetuned-zhtrainticket](https://huggingface.co/naver-clova-ix/donut-base-finetuned-zhtrainticket/tree/official) | [google colab demo](https://colab.research.google.com/drive/16O-hMvGiXrYZnlXA_tfJ9_q760YcLoOj?usp=sharing) | | [RVL-CDIP](https://www.cs.cmu.edu/~aharley/rvl-cdip) (Document Classification) | 0.75 | 95.3 | [donut-base-finetuned-rvlcdip](https://huggingface.co/naver-clova-ix/donut-base-finetuned-rvlcdip/tree/official) | [gradio space web demo](https://huggingface.co/spaces/nielsr/donut-rvlcdip),
[google colab demo](https://colab.research.google.com/drive/1xUDmLqlthx8A8rWKLMSLThZ7oeRJkDuU?usp=sharing) | | [DocVQA Task1](https://rrc.cvc.uab.es/?ch=17) (Document VQA) | 0.78 | 67.5 | [donut-base-finetuned-docvqa](https://huggingface.co/naver-clova-ix/donut-base-finetuned-docvqa/tree/official) | [gradio space web demo](https://huggingface.co/spaces/nielsr/donut-docvqa),
[google colab demo](https://colab.research.google.com/drive/1Z4WG8Wunj3HE0CERjt608ALSgSzRC9ig?usp=sharing) | @@ -61,6 +61,7 @@ To generate synthetic datasets with our SynthDoG, please see `./synthdog/README. ## Updates +**_2022-08-23_** New version 1.0.7 is released (`pip install donut-python --upgrade`).
**_2022-08-12_** Donut 🍩 is also available at [huggingface/transformers 🤗](https://huggingface.co/docs/transformers/main/en/model_doc/donut) (contributed by [@NielsRogge](https://github.com/NielsRogge)).
**_2022-08-05_** A well-executed hands-on tutorial on donut 🍩 is published at [Towards Data Science](https://towardsdatascience.com/ocr-free-document-understanding-with-donut-1acfbdf099be) (written by [@estaudere](https://github.com/estaudere)).
**_2022-07-20_** First Commit, We release our code, model weights, synthetic data and generator. @@ -189,8 +190,8 @@ With the trained model, test images and ground truth parses, you can get inferen ```bash python test.py --dataset_name_or_path naver-clova-ix/cord-v2 --pretrained_model_name_or_path ./result/train_cord/test_experiment --save_path ./result/output.json -100%|█████████████| 100/100 [00:37<00:00, 2.67it/s] -Total number of samples: 100, Tree Edit Distance (TED) based accuracy score: 0.9388447875172169, F1 accuracy score: 0.9155107187894073 +100%|█████████████| 100/100 [00:35<00:00, 2.80it/s] +Total number of samples: 100, Tree Edit Distance (TED) based accuracy score: 0.9374973163596032, F1 accuracy score: 0.8406020841373987 ``` Some important arguments: diff --git a/donut/_version.py b/donut/_version.py index 936c1565..22d94905 100644 --- a/donut/_version.py +++ b/donut/_version.py @@ -3,4 +3,4 @@ Copyright (c) 2022-present NAVER Corp. MIT License """ -__version__ = "1.0.6" +__version__ = "1.0.7"