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README.md

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@@ -24,7 +24,7 @@ In this open source solution you will find references to the [neptune.ml](https:
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| link to code | CV | LB |
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|:---:|:---:|:---:|
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|solution 0|0.779|0.520|
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|solution 1|0.541|0.573|
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## Start experimenting with ready-to-use code
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You can jump start your participation in the competition by using our starter pack. Installation instruction below will guide you through the setup.
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```
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to your username and project name
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Prepare metadata.
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Prepare metadata and overlayed target masks
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It only needs to be **done once**
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```bash
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```yaml
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metadata_filepath: /output/metadata.csv
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masks_overlayed_dir: /output/masks_overlayed
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```
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From now on we will load the metadata by changing the `neptune.yaml`
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```yaml
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metadata_filepath: /input/metadata.csv
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masks_overlayed_dir: /input/masks_overlayed
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```
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and adding the path to the experiment that generated metadata say SHIP-1 to every command `--input/metadata.csv`
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--environment pytorch-0.3.1-gpu-py3 \
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--config neptune.yaml \
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--input /SHIP-1/output/metadata.csv \
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--input /SHIP-1/output/masks_overlayed \
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main.py
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```
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--environment pytorch-0.3.1-gpu-py3 \
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--config neptune.yaml \
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--input /SHIP-1/output/metadata.csv \
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--input /SHIP-1/output/masks_overlayed \
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--input /SHIP-2 \
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main.py
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```

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