https://github.com/hsm207/2018-dsb
My work on Kaggle's 2018 Data Science Bowl competition
https://github.com/hsm207/2018-dsb
Last synced: 7 months ago
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My work on Kaggle's 2018 Data Science Bowl competition
- Host: GitHub
- URL: https://github.com/hsm207/2018-dsb
- Owner: hsm207
- Created: 2018-02-17T10:37:39.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-04-16T21:41:13.000Z (over 7 years ago)
- Last Synced: 2025-01-14T11:17:21.110Z (9 months ago)
- Language: Python
- Size: 33.2 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Introduction
My work on Kaggle's 2018 Data Science Bowl competition.
I trained a variant of the [pix2pix](https://phillipi.github.io/pix2pix/) model to perform image segmentation on cell microscopy images.
# Status
## 17 April 2018
Unable to make submission for stage 2 because:
1. Input pipeline was created under the assumption that all images have 3 channels but it seems some images in the stage 2 set were
read by `skimage.io.imread` as grayscale (no channel dimension).
2. Stage 2 had 3,091 images which is taking a long time to run inference on my GPU-less laptop (not feasible to identify problematic images
given tight deadlines).
## 12 March 2018
Obtained stage 1 score of around 0.25 after training for 200 epochs.