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1. Implement .predict() method.
2. Implement plotting: original image plus original masks plus predicted one.
3. Generated images to the folders: original_data_source/image/predicted_masks/model1_pr…
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## 내용
- [x] 기존 Segmentation 대회 탐색
- [x] 1,2,3등 Solution 탐색
## 목적
기존 대회의 내용을 조사하여 정리하고 우리가 활용할 수 있는 방안을 수색함.
## 작성 방법
각 코멘트별로 대회 하나에 대한 내용을 정리함.
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@abhishekkrthakur I couldn't find the train.csv file for `Approaching image classification & segmentation` chapter. Even in the png dataset of pneumothorax there is no csv file present.
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Hello, first of all thanks for an awesome library.
I am doing semantic segmentation for one class, in the https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation competition.
When I try to use …
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Can you share the trained weights for this?
I'd like to try to add it to this project if that is ok with you: https://github.com/mlmed/torchxrayvision
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Hi, Kevin. I installed the dev version of reticulate and it fails while using GPU/switching to GPU. Something wrong. The CRAN version works fine. I am running this notebook https://github.com/fastai/f…
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In order to work with the pneumothorax challenge, the evaluation is given with the [Dice coefficient](https://en.wikipedia.org/wiki/S%C3%B8rensen%E2%80%93Dice_coefficient): https://www.kaggle.com/c/si…
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Hi @sneddy
I am trying to implement your model. It works fine until this line
`python Train.py experiments/albunet_valid/train_config_part0.yaml. `
On running this it gives an error as _**Nonetype…
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https://mybinder.org/