Classify SPU product images by mother/reference images and output ordered SKU image sets.
Project description
SPU SKU Images
按母图对 SPU 产品图进行 SKU 分类,并输出适合电商上架的 SKU 图片排序。
安装
在项目目录运行:
python -m pip install .
开发调试时可以用可编辑安装:
python -m pip install -e .
最简使用
如果当前目录下有:
母图/
spu-2/
直接运行:
sku-images spu-2
也可以用短别名:
sku-spu spu-2
默认输出到:
sku_output/spu-2_年月日_时分秒/
指定母图和输出目录
sku-images spu-2 --mother 母图 --out result_001
不把母图放进最终排序图集
sku-images spu-2 --no-include-mother-main
兼容旧脚本方式
python .\scripts\sku_image_pipeline.py spu-2 --mother 母图 --out result_001
发布到 PyPI
先跑测试:
python -m unittest discover -s tests -p "test_*.py"
构建发布包:
python -m pip install --user --upgrade build twine
python -m build --outdir dist_pypi
python -m twine check .\dist_pypi\*
上传到正式 PyPI:
$env:TWINE_USERNAME="__token__"
$env:TWINE_PASSWORD="pypi-你的token"
python -m twine upload .\dist_pypi\*
发布后安装:
python -m pip install spu-sku-images
输出内容
result_001/
spu-2_by_mother/
classification_manifest.csv
classification_preview.jpg
spu-2_sku_best_order/
best_order_manifest.csv
best_order_preview.jpg
脚本默认不会清空旧目录。如果输出目录已有内容,会停止并提示换一个 --out。
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