2、ValueError: prefetch_factor option could only be specified in multiprocessing. 将clip-retrieval/clip_inference/reader.py中prefetch_factor=2,这一行改为prefetch_factor=2 if num_prepro_workers>0 else None,即可解决。 (此处clip-retrieval指包) 3、修改模型文件位置...
from clip_retrieval.clip_client import ClipClient, Modality from tqdm import tqdm import urllib.request import os import requests import socket client = ClipClient(url="https://knn.laion.ai/knn-service", indice_name="laion5B-L-14") # Query by text results = client.query(text="an image ...
DeepSparseis an inference runtime for fast sparse model inference on CPUs. There is a backend available within clip-retrieval by installing it withpip install deepsparse-nightly[clip], and specifying aclip_modelwith a prepended"nm:", such as"nm:neuralmagic/CLIP-ViT-B-32-256x256-DataComp-s3...
clip_retrieval doc_assets docs distributed_clip_inference.md laion5B_back.md laion5B_h14_back.md front notebook tests .gitignore .gitpod.DockerFile .gitpod.yml .pylintrc HISTORY.md LICENSE Makefile README.md mypy.ini pytest.ini requirements-test.txt requirements.txt setup.pyBreadcrumbs clip-re...
RETRIEVAL CLIPPROBLEM TO BE SOLVED: To provide a retrieval double clip which can classify/retrieve bulky documents simply by attaching a flag to the double clip.YAMADA MITSUHIRO山田 光洋
将CLIP应用到视频数据集上该如何进行时序建模 Q2 这是否是一个新的问题? 视频文本检索是一个比较成熟的领域,也有相关工作将CLIP端到端的应用到这一领域中,例如CLIPBert,Frozen等,但本工作取得了比CLIPBert更好的效果。 Q3 这篇文章要验证一个什么科学假设? 只用图像特征来进行video-text retrieval是不可行的 在CLIP...
在本文中,作者利用预训练好的CLIP,提出了一个名为CLIP4Clip(CLIP Forvideo Clipretrieval)的模型来解决视频文本检索问题。具体而言,CLIP4Clip构建在CLIP之上,并设计了一个相似度计算器来研究三种相似度计算方法:无参数型 、顺序型 和紧密型 。 与目前基于CLIP的工作相比,不同之处在于,他们的工作直接利用片段进行 ...
文本编码器基于CLIP结构，直接生成文本表示。相似度计算模块根据机制分为无参数、顺序与紧凑型。无参数型采用平均池化融合表示；顺序型利用LSTM或位置嵌入Transformer编码器；紧凑型使用Transformer进行多模态交互，通过线性投影计算相似度。训练策略包括损失函数选择、帧采样策略与预训练阶段。损失函数融合视频到文本...
This paper presents a new approach to video clip retrieval using the Earth Mover's Distance (EMD). The approach builds on the many-to-many match methodology between two graph-based representations. The problem of measuring similarity between two clips is formulated as a graph matching task in ...
This paper presents a new approach for audio clip retrieval based on Earth Mover's Distance (EMD). Instead of using frame-based or salient-based features in most existing methods, our approach propose a segment-based representation, and allows many-to-many matching among audio ...