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基于CLIP模型的视频文本检索设计与实现

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针对现有基于CLIP预训练模型方法存在的训练时间长、模型规模大等问题，本文在CLIP4Clip模型的基础上，采用关键帧保存方案和Adapter Tuning低参数量微调，提高了计算资源有限情况下的训练效率和模型性能。 训练速度方面，本文首先采用帧保存方案，将视频库中的关键帧提取并保存为图片，从而加快数据加载速度，将训练速度提高了14.6倍；然后采用AIM模型的Adapter设计方案，在CLIP4Clip模型中插入可训练的Adapter层，只训练少量参数实现快速收敛，最终实现训练速度提高34倍。 模型性能方面，论文证明了平均选取视频关键帧，比按照最大帧间差选取视频关键帧的效果更优；然后证明了AIM在视频检索领域的有效性；并可以使用AIM来提高模型性能，将模型在MSR-VTT数据集上的R@1从42.2%提升至43.4%，R@5从70.2%提升为71.1%。 本文设计并实现了一个视频文本检索系统，为了保障系统的检索速度，搭建了向量数据库，并测试了不同数据保存方式的数据存取速度。系统使用Django搭建了Web端应用，实现了多种功能需求，展示了本文方法在视频文本检索系统中的应用效果和潜力。
# 毕业设计：《基于CLIP模型的视频文本检索设计与实现》 ### 主要内容 针对现有基于CLIP预训练模型方法存在的训练时间长、模型规模大等问题，本文在CLIP4Clip模型的基础上，采用关键帧保存方案和Adapter Tuning低参数量微调，提高了计算资源有限情况下的训练效率和模型性能。 1. 训练速度方面，本文首先采用帧保存方案，将视频库中的关键帧提取并保存为图片，从而加快数据加载速度，将训练速度提高了14.6倍；然后采用AIM模型的Adapter设计方案，在CLIP4Clip模型中插入可训练的Adapter层，只训练少量参数实现快速收敛，最终实现训练速度提高34倍。 2. 模型性能方面，论文证明了平均选取视频关键帧，比按照最大帧间差选取视频关键帧的效果更优；然后证明了AIM在视频检索领域的有效性；并可以使用AIM来提高模型性能，将模型在MSR-VTT数据集上的R@1从42.2%提升至43.4%，R@5从70.2%提升为71.1%。 3. 本文设计并实现了一个视频文本检索系统，为了保障系统的检索速度，搭建了向量数据库，并测试了不同数据保存方式的数据存取速度。系统使用Django搭建了Web端应用，实现了多种功能需求，展示了本文方法在视频文本检索系统中的应用效果和潜力。 关键词：视频文本检索；CLIP模型；CLIP4Clip模型；低参数量微调；训练加速 ### 技术实现 1. 模型基于[CLIP](https://github.com/openai/CLIP)、[CLIP4Clip](https://github.com/ArrowLuo/CLIP4Clip)、[AIM](https://github.com/taoyang1122/adapt-image-models)，数据集主要使用[MSR-VTT](http://ms-multimedia-challenge.com/2017/dataset)； 2. 界面后端由Django实现； ### 图片

检索结果展示页面

视频播放页面

用户搜索视频流程图

算法整体结构

模型整体结构

资源文件列表:

video-text-retrieval-main.zip 大约有262个文件
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  183. video-text-retrieval-main/code/train/dataloaders/__pycache__/
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  192. video-text-retrieval-main/code/train/dataloaders/data_dataloaders.py 2.97KB
  193. video-text-retrieval-main/code/train/dataloaders/dataloader_keyFrame.py 3.51KB
  194. video-text-retrieval-main/code/train/dataloaders/dataloader_msvd_retrieval.py 7.71KB
  195. video-text-retrieval-main/code/train/dataloaders/rawvideo_util.py 3.85KB
  196. video-text-retrieval-main/code/train/get_args.py 5.48KB
  197. video-text-retrieval-main/code/train/main_task_retrieval.py 27.02KB
  198. video-text-retrieval-main/code/train/metrics.py 2.96KB
  199. video-text-retrieval-main/code/train/modules/
  200. video-text-retrieval-main/code/train/modules/AIM.py 6.16KB
  201. video-text-retrieval-main/code/train/modules/CLIP4Clip.py 4.05KB
  202. video-text-retrieval-main/code/train/modules/My_Model.py 3.06KB
  203. video-text-retrieval-main/code/train/modules/__init__.py
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  216. video-text-retrieval-main/code/train/modules/clip/clip.py 9.83KB
  217. video-text-retrieval-main/code/train/modules/clip/model.py 22KB
  218. video-text-retrieval-main/code/train/modules/clip/simple_tokenizer.py 8.53KB
  219. video-text-retrieval-main/code/train/modules/file_utils.py 7.83KB
  220. video-text-retrieval-main/code/train/modules/optimization.py 7.09KB
  221. video-text-retrieval-main/code/train/requirements.txt 203B
  222. video-text-retrieval-main/code/train/util.py 2.44KB
  223. video-text-retrieval-main/code/其他/
  224. video-text-retrieval-main/code/其他/.idea/
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  231. video-text-retrieval-main/code/其他/.idea/其他.iml 500B
  232. video-text-retrieval-main/code/其他/MSVD数据集csv创建.py 1.74KB
  233. video-text-retrieval-main/code/其他/README.md 157B
  234. video-text-retrieval-main/code/其他/inputs.txt 40.13KB
  235. video-text-retrieval-main/code/其他/inputs1.txt 40.13KB
  236. video-text-retrieval-main/code/其他/inputs2.txt 37.06KB
  237. video-text-retrieval-main/code/其他/temp/
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  249. video-text-retrieval-main/code/其他/去除重复行.py 849B
  250. video-text-retrieval-main/code/其他/数据统计.py 2.62KB
  251. video-text-retrieval-main/code/其他/数据统计_recall.py 3.22KB
  252. video-text-retrieval-main/code/其他/数据统计_画图.py 4.19KB
  253. video-text-retrieval-main/code/其他/测试jpg_png.py 582B
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  262. video-text-retrieval-main/image/视频播放页面.jpg 208.02KB
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