FengWei2000 / CBIRLinks
基于VGG和tkinter的CBIR
☆28Updated 3 years ago
Alternatives and similar repositories for CBIR
Users that are interested in CBIR are comparing it to the libraries listed below
Sorting:
- 离线构建大规模图像特征索引库,实现在线相似图片精准查询☆78Updated 5 years ago
- 一个本地的基于内容的图像检索系统,实现了包括颜色特征提取(颜色直方图,HSV中心距),纹理特征(灰度共生矩阵,LBP算子),边缘特征(边缘直方图),哈希感知算法(aHash,pHash,dHash算法等),SIFT特征提取。以及基于VGG-16提取特征等功能☆91Updated 2 years ago
- 基于内容的图像检索系统(Content Based Image Retrieval,简称 CBIR)☆69Updated 7 years ago
- CbirByVgg-基于VGG16的图像检索程序,可视化查询并显示,可扩展到自己的图像库。☆23Updated 3 years ago
- This is an simple image retrieval platform by CNN based on pytorch and flask.☆36Updated last year
- 基于opencv-python的sift、kmeans、bow图像检索☆54Updated 7 years ago
- 一个通用的图像分类模板,天池/CVPR AliProducts挑战赛 3/688☆86Updated 4 years ago
- 基于VGG-16的图像检索系统☆45Updated 4 years ago
- 媒体计算实践作业:图像——文本跨模态搜索☆40Updated 4 years ago
- 基于Swin-transformer训练图像分类并部署web端☆94Updated 3 years ago
- 本赛题任务是对西安的热门景点、美食、特产、民俗、工艺品等图片进行分类,即首先识别出图片中物品的类别(比如大雁塔、肉夹馍等),然后根据图片分类的规则,输出该图片中物品属于景点、美食、特产、民俗和工艺品中的哪一种。☆87Updated 4 years ago
- Awesome Fine-grained Visual Classification☆240Updated 2 years ago
- 机器学习☆44Updated 4 years ago
- this is all of my code and data with my deep learning note☆235Updated 3 months ago
- Image classification: efficientnet/resnest/seresnext/.....☆265Updated last year
- 一个简单方便的目标检测框架(PyTorch环境可直接运行,不需要cuda编译),支持Faster_RCNN、Cascade_RCNN、Yolo系列、SSD等经典网络。☆276Updated last year
- 基于PyTorch框架实现的图像分类网络☆85Updated 4 years ago
- python实现的图像检索系统,包括特征提取、建立图像库、建立索引、特征比对和结果评估。☆12Updated 7 years ago
- 使用深度学习网络(目标检测/特征提取/特征匹配)建立的图像精准检索系统☆34Updated 5 years ago
- 深度学习 卷积神经网络教程 :图像识别,目标检测,语义分割,实例分割,人脸识别,神经风格转换,GAN等 https://dataxujing.github.io/CNN-paper2/☆182Updated 5 years ago
- A generic triplet data loader for image classification problems,and a triplet loss net demo.☆130Updated 5 years ago
- 基于Pytorch的图像分类框架☆94Updated 3 weeks ago
- Deploying AI model with spring boot☆51Updated 2 years ago
- CVPR2020/TNNLS2023: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval☆237Updated 3 years ago
- Unofficial implementations of some classical CNN backbones with pytorch☆168Updated 4 years ago
- 基于无监督学习,无需训练,先使用SIFT算法提取图像特征,再使用KMeans聚类算法进行图像分类,速度非常快,精度还在提高。☆133Updated 6 years ago
- ReID行人重识别,可做图像检索,陌生人检索等项目☆36Updated 2 years ago
- An unofficial Implementation of ACNet based on PyTorch.☆21Updated 4 years ago
- Multi-label classification based on timm.☆127Updated 4 years ago
- 基于多特征融合的图像检索系统☆28Updated 2 years ago