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news-image-caption's Introduction

News-image-caption

most of code in this repository originate from self-critical

Chinese image caption generation for breaking news

Requirements

  • python3
  • torch 1.4.0
  • numpy 1.16.2
  • coco-caption (see README)
  • cider (see README)

Data preparation

Download the raw data from News dataset

(1) preprocess the news label

python scripts/prepro_news_labels.py --input_json data/news_annotations/annotations/instances_train2017.json --input_json_2 data/news_annotations/annotations/instances_val2017.json --input_json_3 data/news_annotations/annotations/instances_test2017.json --output_json data/newstalk.json --output_h5 data/newstalk

(2) preprocess the features

python scripts/make_news_data.py

Start training & evaluation

Training

python tools/train.py --cfg configs/news.yml --id news_num

Eval

python tools/eval.py --dump_images 0 --num_images 1900 --model log_news_3/model-best.pth --infos_path log_news_3/infos_news_3-best.pkl --language_eval 1 --beam_size 5

Self critical training copy model

bash scripts/copy_model.sh news_3 news_3_r

training

python tools/train.py --cfg configs/news_rl.yml --id news_3_rl

Example

the result of Chinese image caption generation 1

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