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compare-detection-result-withgt's Introduction

Streamlit Visualization

Ground Truth 가 존재하는 파일에 대한 inference 결과를 시각화합니다.

!부스트캠프 AI Tech 4기 Object Detection Competition을 위한 임시 레포입니다.

preview

how to start

pip install streamlit

modify

parser 를 사용해 실행합니다.

  1. --submission_csv = inference 한 submission.csv 파일 경로
  2. --gt_json = ground truth 의 메타데이터 json 파일 경로
  3. --dataset_path = 전체 데이터가 존재하는 경로

streamlit parser 뒤에 -- 입력 후 argparse 인자가 입력되어야 합니다. 사용 예) streamlit run app.py --server.fileWatcherType none --server.port=30005 -- --submission_csv ./submission_for_train.csv --gt_json /opt/ml/JDP/dataset/train.json --dataset_path /opt/ml/JDP/dataset/

run

streamlit run app.py --server.fileWatcherType=none --server.port=30005 --

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