Add start

Author: hojunking

Diff for: README.md

@@ -1,8 +1,16 @@
 ## Disaster Classifier
 - Task: **Development of customized disaster media service platform technology for disaster information and vulnerable groups** (재난정보인지 취약계층을 위한 맞춤형 재난미디어 서비스 플랫폼 기술 개발)  
 - Task has been completed by **VI Lab (Video Inteligence Lab) [[Link]](https://sites.google.com/view/knuvi/)** (~12. 31, 2023) with ETRI (Electronics and Telecommunications Research Institute)
- - Research publication in KCIS (The Korean Institute of Communications and Information Sciences, 한국통신학회)
- - *Automatic Classification of Disaster Images Based on Deep Learning* **[[Paper]](https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11636493&nodeId=NODE11636493&medaTypeCode=185005&isPDFSizeAllowed=true&locale=ko&articleTitle=Automatic+Classification+of+Disaster+Images+Based+on+Deep+Learning&articleTitleEn=Automatic+Classification+of+Disaster+Images+Based+on+Deep+Learning&language=ko_KR&hasTopBanner=true)**  
+ - *Automatic Classification of Disaster Images Based on Deep Learning* **[[Paper]](https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11636493&nodeId=NODE11636493&medaTypeCode=185005&isPDFSizeAllowed=true&locale=ko&articleTitle=Automatic+Classification+of+Disaster+Images+Based+on+Deep+Learning&articleTitleEn=Automatic+Classification+of+Disaster+Images+Based+on+Deep+Learning&language=ko_KR&hasTopBanner=true)** published in KCIS (The Korean Institute of Communications and Information Sciences, 한국통신학회)
+ - Patent application (딥러닝 기반 이미지 데이터 분류 장치 및 방법)
 - Record Disaster Classifier Task in Notion [[Link]](https://hojunking.notion.site/Disaster-Task-cb8c0ad55fb44786a558d7874b73f18c?pvs=4)  
 
-classifier for normal images & disaster images+generated images
+### Start
+Python 3.9+  
+```
+pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch-nightly -c nvidia
+conda install pandas, numpy, tqdm, timm, albumentation
+```
+- Prepare dataset (disaster or natural images)
+- Use ``train.py, eval.py``
+- Classifier Model (inception_resnet-v2) **[[Link]](https://drive.google.com/drive/folders/1OhiCNBPpkISCRuQ-8G0Z-HE5Kk9LAUx5?usp=sharing)**