Yet another video caption

Overview

yet-another-video-caption

数据集配置

准备数据集

将原始数据集重新组织成统一的格式后,放置于 ./dataset 中。

数据集的组织格式为:

./dataset
    train/
        video/
            *.avi
        ...
        info.json
    test/
        video/ 
            *.avi
        ...

自动配置

通常你只需要使用数据集的一个子集,此时请考虑运行自动抽取脚本 makedata.py

所有数据位于 ./data 中。

所有视频(包括 train/val/test) 位于 ./data/video 中。

所有视频信息(包括 train/val/test)输入到 ./data/input.json

程序会在 ./data 中产生一些中间信息,请勿修改。

依赖

pip install tqdm pillow pretrainedmodels nltk

此外,请确保已当前环境下已经正确配置 CUDA 运行库,CUDNN,Pytorch(GPU),ffmpeg,JDK

食用步骤

  1. 确保数据集已正确配置

  2. 确保依赖已经正确安装

  3. 抽取数据,将你希望使用的 train/val/test 划分参数输入 makedata.py 中,然后执行该脚本

  4. 依次执行(请自行修改 batch_sizesaved_model 参数!)

python prepro_feats.py --output_dir data/feats/resnet152 --model resnet152
python prepro_vocab.py
python train.py --epochs 3001 --batch_size 1 --checkpoint_path data/save --feats_dir data/feats/resnet152 --model S2VTAttModel --with_c3d 0 --dim_vid 2048
python eval.py --recover_opt data/save/opt_info.json --saved_model data/save/model_10.pth --batch_size 1

速度测试

以下结果测试于单张 2080Ti

预处理(ResNet152 特征提取):共 40min

训练速度(batch_size=32):6.20 it/s

Todo

大小写问题

References

https://github.com/xiadingZ/video-caption.pytorch

Owner
Fan Zhimin
Dreams of love and hope never die.
Fan Zhimin
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