facebookresearch/maskrcnn-benchmark

Conda package

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#64 建立於 2018年10月30日

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 (2 留言) (1 反應) (0 負責人)Python (9,161 star) (2,574 fork)batch import
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描述

Following https://github.com/facebookresearch/maskrcnn-benchmark/issues/25#issuecomment-433909952, a conda package would be a nice way to distribute precompiled package for Linux, Windows and Mac OSX.

For this, a conda recipe needs to be submitted as a PR to https://github.com/conda-forge/staged-recipes.

貢獻者指南

技術棧
pythonpytorch
領域
release
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-2 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
clear
前置要求
conda packagingpythonpytorch
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
40
研究方向
Refer to the linked comment in issue #25 for additional context. The task is to create a conda recipe for maskrcnn benchmark and submit it as a PR to the conda forge/staged recipes repository. Start by forking conda forge/staged recipes, then create a new recipe directory for maskrcnn benchmark with the necessary meta.yaml, build.sh, and bld.bat files. Ensure the recipe builds and works on Linux, Windows, and macOS. Finally, open a pull request against the staged recipes repository.