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flwapp_exp's Introduction

README (Last Content Update: 2023/8/2)

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plant-petal (Python/Django)

Research on determining petal arrangement from flower images.

  • Main libraries used: opencv-python, pytorch, django
    • Object Detection (YOLOv5: github)
    • Foreground Extraction (grabcut)
    • Meta-learning (MAML: github)

system_flow



plant-root (Python)

Analyzing root growth from images.

  • Main libraries: opencv-python, pytorch, scikit-learn
    • Segmentation with UNet

Satellite Image Processing (Python)

  • Vehicle Detection
  • Super Resolution

flwapp_exp's People

Contributors

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Watchers

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flwapp_exp's Issues

完成までのcheckリスト

10/20

  • (1.5h)同意書の作成
  • (0.5h)アンケートの作成

10/21

  • (1h)正解データの確認
  • (1h)データの登録
  • (2h)花弁配置画像の用意

10/22以降

  • (3h)セキュリティ
  • (1h)花弁配置の説明の用意
  • (1h)デモ動画の作成・アップロード
  • (3h)デモプレイ環境
  • (1.5h)本番環境でのfull動作テスト
  • (1h)正解データの確認(再度)

10/25 ミーティングでの変更点

変更点

  • 対応のある2群での比較検定
    • 実験-1 -> 実験-2 -> アンケートの流れ．1, 2の順番はuser_idで管理
      • progressの表示変更
      • 候補id(0-39)を文字列で管理 (ex. '1,13,35,28,14,...,13')．splitとjoinを用いてlistと相互変換．
      • img_prcossing_modelにmanualかsemi-autoか識別するカラムを追加
  • 画像は30枚1プール用意し，人ごとにランダムに15枚ずつに分割
    • 毎回ランダムにとってくるのと等価
  • タスクの練習環境を用意する
    • 2枚ずつくらい用意
  • アンケートの形式を変更
    • 現状1つの実験環境しか使わない前提になっているので，両方の環境を比較するアンケートに書き換える

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