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1 .Milvus image search system v2.0
2 .Agenda
• Milvus 以图搜图 1.0
• Milvus 以图搜图 2.0 原理
• Milvus 以图搜图 2.0 demo 演示
• Q&A
4 .Zilliz: Who are we?
• Open-source software company based
in Shanghai
• Mission: Reinvent data science
• Main contributor of Milvus project
5 .We are hiring~
Find our open positions:
• Backend developer (C++/Golang)
• AI algorithm engineer (CV/NLP)
• Frontend developer
• Product manager
• Cloud infrastructure engineer
• Technical Writer
• And a lot more…
You may also contact TA@zilliz.com
7 .Unlock the treasure of unstructured data
AI algorithms transform image, video, voice, natural language into vectors,
and enables understanding and utilization of unstructured data at scale.
Unstructured data Deep learning models Embedding vectors Knowledge, insight, $
8 .Milvus Big Picture
Inference Layer
Data Service Layer
9 .PaddleRec x Milvus
Tutorials:
Baidu AI Studio-
https://aistudio.baidu.com/aistudi
o/projectdetail/1816335?channelT
ype=0&channel=0
PaddleRec Github-
https://github.com/PaddlePaddle/
PaddleRec
10 .Milvus: The journey
2018.10 2019.04 2019.06
Milvus 1st seed
The idea
0.1 user
Joined Milvus
Open
LF AI & 1.0
Source
Data
2019.10 2020.03 2021.03
11 .Progress
6.8K 6.1K 136
Commits GitHub stars Contributors
20 1000+ 19
Release Users Patents filed
12 .Useful Links Performance benchmark:
https://milvus.io/docs/benchmarks_aws
https://milvus.io
Live demo:
https://github.com/milvus-io/milvus https://www.zilliz.com/solutions
https://www.milvus.io/scenarios
https://milvusio.slack.com
https://twitter.com/milvusio • Content-based image retrieval
• QA chatbot powered by NLP
https://medium.com/unstructured- • Molecular analysis
data-service
https://zhuanlan.zhihu.com/ai-search
WeChat Public
Account:
14 .Speaker bio
Data Engineer
•Data preprocessing
•AI model application
•Nginx & php
•Docker deployment
15 .Milvus Image search system v2.0
p Background
p How to use
p Practice
17 .v1.0
l The core of the architecture is the VGG model,
which converts images into vectors, and Milvus,
which stores the vectors and performs similar
vector retrieval.
18 .Live demo
https://zilliz.com/solutions https://milvus.io/cn/scenarios
19 .v2.0
01 Milvus 1.0
Milvus has been upgraded from version
0.10.0 to Milvus 1.0.
02 YOLOv3 Model
A new function for image target detection
has been added, here using the yolov3
enhanced model, which is relatively more
accurate and faster.
03 Resnet50 Model
Compared to the VGG model, the
Resnet50 model is not only faster to train,
but also has a higher accuracy in image
recognition.
21 .Environment requirements
The following tables show recommended configurations for reverse image search. These configurations haven been
tested.
Component Recommended Configuration
CPU Intel(R) Core(TM) i7-7700K CPU @ 4.20GHz
Memory 32GB
OS Ubuntu 18.04
Milvus 1.1
Software
pic_search_webclient 0.2.0
22 .Dataset
The image dataset used in this test is the PASCAL VOC image set, containing 17125 images covering
20 catalogs: human; animals (birds, cats, cows, dogs, horses, sheep); vehicles (airplanes, bicycles, boats,
buses, cars, motorcycles, trains); interiors (bottles, chairs, dining tables, potted plants, sofas, TVs).
Data set size: 2GB
Download location: http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar
23 .How to use
Github Link : https://github.com/milvus-io/bootcamp/blob/master/solutions/image_search2/README.md
Ø Run Milvus Docker
Milvus 1.1 Install Link:https://milvus.io/cn/docs/v1.1.0/milvus_docker-gpu.md
Ø Install the Python packages you need
$ cd /image_search/webserver
$ pip install -r requirements.txt
24 .How to use
Ø Modify configuration file
Parameter Description Default setting
MILVUS_HOST milvus service ip 127.0.0.1
MILVUS_PORT milvus service port 19512
VECTOR_DIMENSION Dimensionality of the vectors 2048
DATA_PATH Path to save images /data/jpegimages
DEFAULT_TABLE The milvus default collection milvus_183
UPLOAD_PATH Storage path for uploaded images /tmp/search-images
/yolov3_detector/data/yolov3_darkne
COCO_MODEL_PATH Path of the target detection model
t
/yolov3_detector/data/yolov3_darkne
YOLO_CONFIG_PATH Profile path for target detection model
t/yolo.yml
25 .How to use
Ø Start query service
$ cd /image_search/webserver/src
$ python app.py
Ø Run pic-search-webclient docker
$ docker run --name zilliz_search_images_demo_web -d --rm -p 8001:80 \
-e API_URL=http://${WEBSERVER_IP}:5000 \
milvusbootcamp/pic-search-webclient:0.2.0
27 .Outlook
l Continuous optimization of the revise image search
system
l Plan to provide revise image search API
28 .Q&A
前10位问问题的小伙伴将可以获得限量的 Milvus 卫衣
（左图👈 ）领取奖品请加小助手微信：zilliz-tech，或是
扫下面的二维码。👇
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