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Commits on Nov 10, 2024

• Setting up GitHub Classroom Feedback

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Commits on Nov 11, 2024

• feat : add auto GPU warning code

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Commits on Nov 12, 2024

• Create README.md

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• Update README.md

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Commits on Nov 13, 2024

• feat : 29 classes #3

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• feat : yolo Segmentation yolo #3

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• feat : gitignore

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• feat : yolo Segmentation etc yolo #3

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• feat : gitignore

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• Merge pull request #8 from boostcampaitech7:Batwan01/yolo_base

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• Merge branch 'Batwan01/yolo_base' into main

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• Merge branch 'main' of https://github.com/boostcampaitech7/level2-cv-semanticsegmentation-cv-15-lv3 into main

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• feat : Add data viewer script with streamlit #10

  jhuni17

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• feat : csv 변환 오류 해결 Fixes #9

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• feat: custom aug 추가 yolo #3

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• Merge branch 'Batwan01/issue9' into main

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• feat: add dataset.py

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• feat: add utils.py

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• feat: model.py

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Commits on Nov 14, 2024

• feat: discord auto notifications

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• feat: refactoring test

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• fix: dir root errors

  jung0228

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• fix: fixes all path errors

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• fix: more clean message

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• fix: add model name to config file

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• fix: config

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• Merge branch 'jhuni17/eda_with_streamlit' of https://github.com/boostcampaitech7/level2-cv-semanticsegmentation-cv-15-lv3 into jung0228/auto_noti

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• fix: seperate server messaages

  jung0228

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• feat : create yolo dataset #3

  Batwan01

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• fix: rm non use files

  jung0228

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Commits on Nov 15, 2024

• feat: ducknet test

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Commits on Nov 18, 2024

• feat: smp model train

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• feat: SMP Baseline code refactoring #23

  jhuni17

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• feat: Add loss and scheduler script #23

  jhuni17

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• feat: Fix bug in dataset and Add loss and scheduler in train, config

  jhuni17

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• feat: Fix bug in dataset and train script

  jhuni17

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• feat: Minor fix

  jhuni17

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• feat: minor fix

  jhuni17

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• chore: Update .gitignore

  jhuni17

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• feat: Change optimizer -> AdamW

  jhuni17

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• feat: Add comment and minor fix

  jhuni17

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• feat: Add smp code

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• chore: Update .gitignore

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• feat: Add visualization for result csv file

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• remove: visualize_inference.py

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• chore: Update .gitignore

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• feat: Add wandb logging and fix config to select model in config.py

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• fix: wandb api key (personal key issue)

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• feat: Fix wandb logging step

  jhuni17

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• feat: Fix wandb log

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Commits on Nov 19, 2024

• feat: RefactoredUNet3+

  

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• remove: WrongLossFile UNet3+ #25

  

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Commits on Nov 20, 2024

• fix: Inference

  

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• feat: UNet3+CGM

  

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• Merge remote-tracking branch 'origin/UNet3+' into jung0228/2-stage_learning

  jung0228

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• Merge branch 'main' into jhuni17/eda_with_streamlit

  jhuni17

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• fix: Dataset.py to train small object

  jung0228

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• feat: Discord Alam code

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• fix: using relative path

  jung0228

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• feat: Add validate script for checking

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• rename: Chage dir name

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• feat: Add test image visualization feature #10

  jhuni17

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• Merge pull request #26 from boostcampaitech7/jhuni17/baseline_code_refactoring

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• Merge pull request #27 from boostcampaitech7/jhuni17/eda_with_streamlit

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• test: UNet3+ #25

  

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• feat: image-binary Data preprocessing #18

  

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• feat: diceLoss UNet3+ #25

  

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• test: dice,[0.45, 0.35, 0.25, 0.2, 0.2] UNet3+ #25

  

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Commits on Nov 21, 2024

• test: iou UNet3+ #25

  

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• Merge remote-tracking branch 'origin/jung0228/2-stage_learning' into UNet3+

  

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• refactor: discord URL to Config UNet3+ #25

  

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• feat: Mixed Precision UNet3+ #25

  

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• feat: box detect and segmentation UNet3+ #25

  

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• feat: spawn Multi Processing for yolo UNet3+ #25

  

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• feat: Visualization Crop Image and Label UNet3+ #25

  

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• feat: Labe Based Crop Train UNet3+ #25

  

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• feat: Make Dir for Visualization UNet3+ #25

  

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• test: Added BottleNeck 75 UNet3+ #25

  

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Commits on Nov 22, 2024

• feat: Upsample -> ConvTranspose2dUNet3+ #25

  

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• feat: ConvNext_L Backbone UNet3+ #25

  

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• fix: Chagne 'use column width' parameter to container

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• feat: Add val gt csv in validate script and Make val evaluate script

  jhuni17

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• feat: Add option only make gt csv

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• fix: Change pred_df name

  jhuni17

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• Merge pull request #30 from boostcampaitech7/jhuni17/baseline_code_refactoring

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• feat: Add visualize validation data -> Not Finish

  jhuni17

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• feat: Change image name in csv

  jhuni17

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• Merge branch 'jhuni17/baseline_code_refactoring' into jhuni17/eda_with_streamlit

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• Feat: Add dataset_gc.py

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• Merge branch 'main' of https://github.com/boostcampaitech7/level2-cv-semanticsegmentation-cv-15-lv3

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• test: dice_convNext UNet3+ #25

  

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• feat: model_shape_check, comment CenterCrop #31

  

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• feat: Fix error and divide gt and pred

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• feat: Add seed func and dataset class

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• Merge branch 'jhuni17/eda_with_streamlit' into jhuni17/baseline_code_refactoring

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• Merge pull request #32 from boostcampaitech7/jhuni17/baseline_code_refactoring

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• fix: focal_Loss UNet3+ #25

  

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• fix: wrong weight init UNet3+ #25

  

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• feat: Scalely Weighted Loss UNet3+ #25

  

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Commits on Nov 23, 2024

• feat: Change scheduler and model

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• Merge pull request #33 from boostcampaitech7/jhuni17/baseline_code_refactoring

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• feat: Add eda ipynb #29

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• feat: Add StratifiedXRayDataset with meta data in dataset.py #29

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• feat: Add meta data path in config.py #29

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• feat: Add new train script with StratifiedXRayDataset and remove comment in train.py

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• fix: Loss Bug UNet3+ #25

  

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Commits on Nov 24, 2024

• test: test UNet3+ #25

  

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• feat: Add StratifiedGroupKFold not post-cleansing

  jhuni17

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• feat: Add group stratified k fold distribution

  jhuni17

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• Merge pull request #34 from boostcampaitech7/jhuni17/data_cleansing_and_validation_st

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• feat: Add early stopping feature

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• feat: Refactoring mmsegmentation #23

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• feat: ResNet_UNet3+ UNet3+ #25

  

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• feat: Crop Inference and Merge CSV UNet3+ #25

  

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• feat: HRNet Model Create UNet3+ #25

  

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• test: test

  

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Commits on Nov 25, 2024

• feat: Add wandb feature

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• Merge pull request #35 from boostcampaitech7/jhuni17/baseline_code_refactoring

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• feat: HRNet UNet3+ #25

  

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• Merge remote-tracking branch 'origin/main' into UNet3+

  

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• Merge pull request #36 from boostcampaitech7/UNet3+

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• feat: lib UNet3+ #25

  

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• Merge remote-tracking branch 'origin/main' into UNet3+

  

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• Merge pull request #37 from boostcampaitech7/UNet3+

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• fix: Infebug UNet3+ #25

  

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• fix: Scheduler UNet3+ #25

  

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• comment: filters UNet3+ #25

  

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• fix: schedular bug fix max -> 'max' UNet3+ #25

  

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• fix: If Use ReduceLROnPlateau, Cant use Get_last_lr ->verbose=True

  

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• feat: boundary_loss to Loss.py

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• fix: model Bug Fix UNet3+ #25

  

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• Merge branch 'main' of https://github.com/boostcampaitech7/level2-cv-semanticsegmentation-cv-15-lv3 into main

  

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• feat: SwinEncoder.py

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• Merge branch 'main' of https://github.com/boostcampaitech7/level2-cv-semanticsegmentation-cv-15-lv3 into main

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• fix: Train mode bug Fix UNet3+ #25

  

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• Merge branch 'main' of https://github.com/boostcampaitech7/level2-cv-semanticsegmentation-cv-15-lv3 into main

  

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• fix: train scheduler bug fix UNet3+ #25

  

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• feat: swin encoder unet+++

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• Merge remote-tracking branch 'origin/main' into main

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• feat: train mixed precison

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• fix: loss format error

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• fix: main and mixed precision

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• fix: discord message send

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• fix: absolute path to relative path

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• feat: Revise config.py

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• feat: Add wandb, early stopping and revise config

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• feat: Add wandb and early stopping

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• fix: Add epoch_loss

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• feat: Add wandb init

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• feat: Boundary Loss to Train

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• Merge remote-tracking branch 'origin/main' into main

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• feat: Experiment Name to Config

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• fix: boundary Loss

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• rm: scheduler bug

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Commits on Nov 26, 2024

• feat: Update eda.ipynb

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• feat: Change wandb api_key

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• feat: HRNet UNet3+ #25

  

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• chore: .gitignore

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• feat: hybrid Loss

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• Merge remote-tracking branch 'origin/main' into main

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• fix: IoU Loss by -log method

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• feat: Add swin encoder #40

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• feat: Change img_size

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• Merge pull request #41 from boostcampaitech7/jhuni17/custom_encoder_smp

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• feat: save split dataset list

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• feat: save dataset list

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• feat: Change encoder name, img size

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• Merge branch 'main' of https://github.com/boostcampaitech7/level2-cv-semanticsegmentation-cv-15-lv3 into main

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• comment: Remove needless code

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• feat: Add StratifiedXRayDataset

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• feat: Fix StratifiedXRayDataset

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• feat: Edge Loss to loss.py

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• Merge remote-tracking branch 'origin/main' into main

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• fix: edge loss

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• feat: train for hybrid loss

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• feat: goodSet UNet3+ #25

  

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Commits on Nov 27, 2024

• feat: Implement dataset cleansing functionality in data_cleansing.py #29

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• feat: hybrid loss

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• refactor: Remove visualization steps and specific mask removals from dataset cleaning process in data_cleansing.py

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• Merge branch 'main' of https://github.com/boostcampaitech7/level2-cv-semanticsegmentation-cv-15-lv3 into main

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• fix: train_meta_hybid.py

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• Merge remote-tracking branch 'origin/main' into main

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• feat: add dataset_transformed

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• feat: add dataset_transformed

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• feat: get_train_transform()

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• feat: scheduler_type == "cosine"

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• feat: for merge

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• Merge remote-tracking branch 'origin/main' into main

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• feat: add dataset statistics printing functionality in validate.py

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• Merge remote-tracking branch 'origin/main' into main

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• feat: onepiece setting

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Commits on Nov 29, 2024

• feat: visualize crop Inference UNet3+ #25

  

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• test: HRNet UNet3+ UNet3+ #25

  

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• Merge branch 'main' of https://github.com/boostcampaitech7/level2-cv-semanticsegmentation-cv-15-lv3 into main

  

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• fix: loss.py

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• Merge remote-tracking branch 'origin/main' into main

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Commits on Nov 30, 2024

• refactor: cleaning #

  

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• feat: 3type_box_detect

  

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• refactory: clean

  

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• refactor: cleaning

  

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Commits on Dec 9, 2024

• Create z

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• Hand Bone Image Segmentation_팀 리포트(15조)

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• Delete docs/z

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• Rename bone_seg_CV_팀 리포트(15조).pdf to bone_seg_CV_팀 리포트.pdf

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Commits on Jan 16, 2025

• Add files via upload

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