TBrainAI

Description

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This project is the API-server side source code for TBrainAI competition for hand-writing recognition in Chinese-tradition language.

Getting Start

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Folder Structure

TBrainAI   
├── data/  
│   ├── image            # test image path  
│   │   └── ... 
│   └── json 
├── script/              # environment set-up and test shell script
├── src/  
│   ├── utils            # test image path  
│   │   ├── tools.py     # model and preprocessing function
│   │   └── ... 
│   └── api.py
└── ...  

Prerequisites

• Windows 10, Linux, and Docker
• python3.9 (maybe >=3.6 is fine).
• sudo privilege
• pip or conda

Installation

# if you have already have sudo, skip this.
apt-get update
apt-get -y install sudo

sudo apt-get install tesseract-ocr-chi-tra
pip install numpy
pip install pytesseract
pip install pillow

Usage

Check out https://pypi.org/project/pytesseract/

To Do

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• Image Processing
• Test baseline model performance

Machine Information with GPU

• OS : Debian 10 buster
• GPU : Tesla K80 (GeForce 400)
• CPU : 4
• Memory : 15 G
• Tensorflow : 2.4
• Cuda : 11.2
• IP: 35.201.197.216

GPU Information

+-----------------------------------------------------------------------------+ | NVIDIA-SMI 460.73.01 Driver Version: 460.73.01 CUDA Version: 11.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla K80 Off | 00000000:00:04.0 Off | 0 | | N/A 33C P8 26W / 149W | 3MiB / 11441MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+

Test command

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by curl command

curl -X POST -H "content-type: application/json" --data "@data/json/test1.json" "http://35.194.172.36:8080/inference" curl -X POST -H "content-type: application/json" --data "@data/json/test1.json" "http://35.201.197.216:8080/inference"

by inference-client.sh

bash script/inference-client.sh "35.194.172.36:8080" "data/image/wo.jpg" bash script/inference-client.sh "35.201.197.216:8080" "data/image/wo.jpg"

Connect to GCP

ssh -i ~/.ssh/id_gmail pittwu@35.194.172.36 ssh -i ~/.ssh/id_tbrain tbrain@35.201.197.216

Deploy TBrainAI service on to GCE

1. In your mac / linux, go to parent directory of TBrainAI
2. Execute command: bash TBrainAI/script/deploy.sh bash TBrainAI/script/deploy.sh "~/.ssh/id_tbrain" "tbrain" "35.201.197.216"