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docs: update stale and readme install.
for afterward methods merge.
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.github/issue_stale.yaml

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.github/workflows/issue_stale.yaml

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name: Close inactive issues
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on:
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schedule:
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- cron: "35 11 * * *"
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env:
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DAYS_BEFORE_ISSUE_STALE: 14
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DAYS_BEFORE_ISSUE_CLOSE: 14
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jobs:
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close-issues:
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runs-on: ubuntu-latest
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permissions:
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issues: write
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pull-requests: write
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steps:
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- uses: actions/stale@v5
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with:
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days-before-issue-stale: ${{ env.DAYS_BEFORE_ISSUE_STALE }}
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days-before-issue-close: ${{ env.DAYS_BEFORE_ISSUE_CLOSE }}
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stale-issue-label: "stale"
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stale-issue-message: |
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This issue is stale because it has been open for ${{ env.DAYS_BEFORE_ISSUE_STALE }} days with no activity.
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Please consider close it if the discussion already solve your question. Or it will be closed automatically if no further activity occurs.
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close-issue-message: |
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This issue is being closed because it has been stale for ${{ env.DAYS_BEFORE_ISSUE_CLOSE }} days with no activity.
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You can still comment if you have further questions or information to add.
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days-before-pr-stale: -1
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days-before-pr-close: -1
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repo-token: ${{ secrets.GITHUB_TOKEN }}

README.md

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@@ -63,6 +63,7 @@ CUDA package (need install nvcc compiler), the compile time is around 1-5 minute
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mamba activate deflow
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# CUDA already install in python environment. I also tested others version like 11.3, 11.4, 11.7, 11.8 all works
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cd assets/cuda/mmcv && python ./setup.py install && cd ../../..
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cd assets/cuda/chamfer3D && python ./setup.py install && cd ../../..
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```
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Or another environment setup choice is [Docker](https://en.wikipedia.org/wiki/Docker_(software)) which isolated environment, you can pull it by.

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