| # ruImageCaptioning | |
| <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-yellow.svg"></a> | |
| Inference Notebook: <a href="https://colab.research.google.com/drive/1tsVMWUE6_AKXiHyinCSOSRPGhbjVEyRM?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" height=20></a> | |
| Русская версия CLIP prefix caption, обученная на ruGPTSMALL + CLIP(OPENAI), можно использовать для VQA, image captioning и прочее. Модель работает <1c + ее можно эффективно квантануть/перенести в ONNX. Обучалось в течении 3х дней на 2*1080ti | |
| Trained and validated on ruCOCO | |
| BLEU: 37.3 | |
| chrF: 32.4 | |
| ROUGE-1-F: 33.0 | |
| ROUGE-2-F: 14.1 | |
| ROUGE-L-F: 30.3 | |
| <table> | |
| <tr> | |
| <td><img src="images/photo_2021-11-13_13-08-38.jpg" ></td> | |
| <td><img src="images/Снимок экрана 2022-05-20 в 15.54.33.png" ></td> | |
| </tr> | |
| <tr> | |
| <td> Пример кэпшенинга</td> | |
| <td>Пример работы в zero shot</td> | |
| </tr> | |
| </table> | |
| THIS WORK IS BASED ON https://github.com/rmokady/CLIP_prefix_caption (english version) | |
| ``` | |
| @article{mokady2021clipcap, | |
| title={ClipCap: CLIP Prefix for Image Captioning}, | |
| author={Mokady, Ron and Hertz, Amir and Bermano, Amit H}, | |
| journal={arXiv preprint arXiv:2111.09734}, | |
| year={2021} | |
| } | |
| ``` | |
| ``` | |
| @article{AlexWortega, | |
| title={ruImage captioning}, | |
| author={Aleksandr Nikolic, Asta gpu server }, | |
| } | |
| ``` | |
| ## Acknowledgments | |
| This repository is heavily based on [CLIP](https://github.com/openai/CLIP) and [Hugging-faces](https://github.com/huggingface/transformers) repositories. | |
| For training we used the data of [COCO dataset](https://cocodataset.org/#home) and [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/) translated by ALEX WORTEGA [ruCOCO](https://github.com/AlexWortega/ru_COCO) | |